Application instructions:

Interested applicants, please apply for this job at this link: https://grnh.se/3suyzu7g2us

Responsibilities

We seek an exceptional Director of Solution Consulting, Asia based in Singapore to join our growing team. This role will report to our VP, Customer Success & Technical Services and will play an integral role in creating a vision for our customers. It is also critical in developing, leading, and managing a world-class team that continually delivers high-quality customer service.

Workato is a positive, diverse, and inclusive organization. We are seeking people who can lead from the front, have strong communication skills, foster collaboration, inject themselves into our culture, develop minds, and be willing to get involved to drive growth and performance across the region.

We value humility, transparency, accountability, authenticity, collaboration, and achieving results. If you feel that you have the skills, experience, and passion, we encourage you to apply.

In this role, you will also be responsible to:

• Lead and manage a team of Solution Consultants / Solutions Architects (Presales) aligned with our APAC business objectives
• Work in partnership with Sales Leaders in planning, forecasting, running QBRs, presales coverage, enabling the region and meeting revenue targets. 
• Collaborate with the Global Leadership team in leading Presales and Customer Success initiatives.
• Effectively attract, hire, develop and retain top talent via coaching to grow our talented solution consulting organization.
• Effectively manage, coach and enable your team with best practices in opportunity engagements and partnering with sales and post-sales teams to optimize customer adoption, win rates and regional target attainments.
• Lead the team by example and manage Solutions Architecture work activities during the presales cycle, including discovery, scoping, and technical validation. Drive post-sales success in helping our customers go live quickly and realize the value of Workato.
• Work across multiple customer-facing teams (Sales, Business Development, Product, Engineering, Customer Success) to improve the product's vision and to make global businesses and organizations successful.
• Articulate and educate on business, technical and architectural concepts to a variety of audiences, including business users, developers, architects, IT operations professionals, and senior IT management.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience in leading and building presales organizations in the Asia region.
• BA/BS or equivalent education - Computer Science is a plus
• 10+ years of pre-sales experience in a SaaS organization
• 5+ years of leading and managing diverse team in a SaaS organization 
• Strong background and knowledge in enterprise integration and automation across multiple verticals.
• Experience in enterprise architecture, middleware and enterprise software
• Experience developing customer-specific value propositions and roadmaps
• Integrating vendors include MuleSoft, Microsoft, Boomi, Oracle, TIBCO, SAP, Snaplogic etc.

Soft Skills / Personal Characteristics

• Strong collaboration skills, ability to adapt to a dynamic growth environment with a passion for making an impact
• Develop a winning culture, to promote growth and personal development within the team
• Strong written and oral communication skills, with the ability to convey complex technical concepts effectively to a non-technical audience 

Application instructions:

Interested applicants, please apply for this job at this link: https://grnh.se/qh7f2zge2us

Responsibilities

We are looking for an exceptional Senior Front End Engineer to join our growing team. In this role, you will be responsible for designing, building and optimizing complex UI for modern integration platform using advanced JavaScript, HTML and CSS technologies. You will work with product, design and back-end teams to build innovative features. In this role, you will also be responsible to:

• Build efficient and reusable front-end components

• Collaborate with Product Managers and Experience Designers to iterate on the design and implementation of our product

• Identify and resolve performance issues.

• Solve non-trivial coding and architecture problems with simple and innovative solutions

• Take ownership of a project or feature

• Contribute in all phases of the development lifecycle

Requirements

Qualifications / Experience / Technical Skills

• 5+ years of experience in front-end focused Software Development

• A degree in Computer Science or equivalent academic background

• Experience with Angular

• Advanced level knowledge of JavaScript, CSS, and HTML

• Experience in building responsive web interfaces using the latest HTML and CSS technologies

• Good understanding of how browsers and DOM work

• Familiar with web security, SEO and accessibility

• Familiar with browser performance optimizations

• Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations

• Experience delivering large-scale web applications

• Knowledge of QA automation processes and tools (Jasmine, Mocha, Selenium & etc)

• Experience with TypeScript, or a desire to learn about it

• Fluency with the Unix command line interface

• Contributions to open source projects

Soft Skills / Personal Characteristics

• Keen eye for design details and a strong sense of good UX.

• Willing to go the extra mile to do things right and fast

Application instructions:

Interested applicants, please apply for this job at this link: https://grnh.se/c4y6vfjz2us

Responsibilities

We are seeking a Senior AI Applications Engineer (Full Stack) to lead the development of cutting-edge AI-powered applications. In this role, you’ll work across the stack—building robust Python-based backends, developing intuitive frontends in React, and architecting scalable systems that handle high-throughput data and real-time AI model integration.

This is a hands-on technical lead position for someone passionate about building production-ready AI products that are fast, secure, and user-friendly.

• Design and develop full stack AI applications, integrating powerful AI models with seamless front-end user experiences.

• Build scalable, production-grade backend services and REST APIs using Python.

• Develop clean, performant, and reusable React.js components for modern web interfaces.

• Architect efficient and secure data workflows, leveraging PostgreSQL for transactional data and ClickHouse for analytics and high-performance querying.

• Collaborate closely with AI/ML engineers, product managers, and DevOps to bring models to life in real-world applications.

• Lead architecture discussions and set engineering best practices across the stack.

• Optimize application performance, scalability, and reliability across backend and frontend systems.

• Mentor junior developers and contribute to a culture of engineering excellence.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor's degree in Computer Science, related field, or equivalent practical experience. We value both traditional education and self-taught expertise.

• 5+ years of professional software development experience, with significant exposure to both frontend and backend technologies.

• Expertise in Python, with a strong understanding of building APIs, microservices, and data pipelines.

• Proven experience developing production-ready frontend applications using React.js (or similar frameworks).

• Deep knowledge of REST API design and integration patterns.

• Experience working with PostgreSQL and ClickHouse, or similar relational and analytical databases.

• Familiarity with integrating AI/ML models into applications (directly or via APIs).

• Strong understanding of software architecture, scalability, security, and system design.

• Experience with Docker, Kubernetes, and deploying to cloud environments (AWS, GCP, or Azure) is a plus.

Soft Skills / Personal Characteristics

• Excellent verbal and written communication skills; able to clearly articulate technical ideas and trade-offs.

• Strong sense of ownership, accountability, and leadership.

• Passion for AI and delivering impactful, data-driven software solutions.

• Comfortable working in a fast-paced, collaborative, and iterative environment.

• Willingness to mentor others and help raise the overall bar for engineering quality.

Application instructions:

Interested applicants, please apply for this job at this link: https://grnh.se/s8lf4phd2us

Responsibilities

Workato is looking for talented and highly motivated results-oriented individuals to join our expanding sales team. In this role, you will be able to demonstrate a successful track record in remotely managing a large diverse territory. You will be comfortable embracing a start-up environment where personal performance is critical and will have the flexibility and determination to participate in any activity to ensure success.

As a Sales Development Representative, you will be responsible for uncovering and developing new opportunities from outbound activities, and building a strong pipeline of sales opportunities to deliver on sales targets. The prospect profile can vary from IT, Business Operations, to Sales / Marketing / Support Operations. You will focus on sales opportunity generation programs and their execution including email and telephone activities. Excellent collaboration and proactive participation with our Marketing, Sales and Customer Success teams is critical to success. As well as contributing through achievement of your goals, you will bring enthusiasm, expertise and creativity to our company.

In this role, you will also be responsible to:

• Set up meetings for the Sales Team and help build the company pipeline.

• Work closely with the Marketing Team on campaigns and GTM efforts.

  Work closely with Sales Team to refine strategy for targeted territories/segments.

• Consult existing customers to understand how they are using Workato currently and where they want to get to as a business 

• Achieve agreed upon sales targets and outcomes within schedule 

• Reach out to customer leads through cold calling and email

• Continuously improve through feedback

Requirements

Qualifications / Experience / Technical Skills

• Bachelors Degree  

• Excellent written and oral communication skills; ability to convey information clearly and analyze customer requirements as needed to help customer make buying decisions 
• Fluency in Bahasa Indonesia to support sales development for the Indonesia market

• Some technical aptitude and the ability to become deeply fluent in integration and automation solutions.

• Knowledge of business applications, especially applications used in Sales, Marketing, Customer Support such as Google Apps, Outreach, Zoominfo, Slack and SFDC

Soft Skills / Personal Characteristics

• Highly motivated, positive attitude with the ability to take initiative; strong work ethic, self-directed and resourceful; Discipline to conduct and manage sales cycle process from initial contact through to initial qualification 

• Strong customer orientation, dedication, and passion for delivering a great customer experience 

• Strong collaboration skills; ability to adapt to a dynamic start-up environment with a passion for making an impact 

Application instructions:

Interested applicants, please apply for this job at this link: https://grnh.se/h6ep55dv2us

Team 

The Gateways team owns Workato's API management, gateway, and routing infrastructure — the layer that sits between external consumers and the platform's core services. Our scope includes the classic API Management (APIM) product, an AI Gateway for LLM traffic management, and an MCP Gateway for Model Context Protocol integration. We operate at high scale, low latency, and with strict availability requirements. 

Role 

We are looking for a Senior Backend Engineer with deep Go expertise to join the Gateways team. This is a hands-on individual contributor role with expectations to own subsystems end-to-end and drive technical direction in your area of ownership. 

Responsibilities 

● Design, build, and operate high-performance gateway and routing components in Go 

● Own technical direction for your area: author design documents, lead architectural reviews, evaluate trade-offs, and drive decisions to conclusion 

● Build and evolve infrastructure for authentication, caching, rate limiting, request queuing, and traffic shaping 

● Collaborate with SRE, Infrastructure, and Platform teams to meet availability, scalability, and observability requirements 

● Stay current with relevant technologies, protocols, and industry patterns; present findings and proposals for architectural review 

● Deliver features end-to-end: from design through production rollout and ongoing maintenance 

Requirements 

Must Have 

● 10+ years of professional software engineering experience 

● 5+ years of hands-on backend development in Go, with strong command of concurrency patterns, performance profiling, and idiomatic design 

● Deep understanding of Go internals: scheduler, garbage collector, memory model, and runtime behavior under load 

● Strong systems programming foundation: understanding of how things work below the application layer 

● Deep network knowledge: TCP connection lifecycle, TLS/mTLS handshake and termination, HTTP/1.1, HTTP/2, HTTP/3 (QUIC), WebSocket, SSE 

● Applied cryptography: symmetric/asymmetric encryption, certificate chains of trust, key management, signing and verification 

● Proven track record of designing and scaling distributed, highly available systems 

● Solid understanding of large-scale web infrastructure: load balancers, reverse proxies, application servers, databases, message brokers, caching layers, and observability stacks 

● Experience authoring system/architecture design documents and leading technical reviews 

● Ability to identify bottlenecks at both the code level and the system level, and propose pragmatic solutions 

● Working knowledge of Kubernetes concepts and deployment patterns 

● BS/MS in Computer Science, Engineering, or equivalent demonstrated experience 

Nice to Have

● Reading-level familiarity with Ruby (on Rails) — the Workato platform core is Ruby-based and owned by other teams, but integration points require the ability to navigate and understand existing code 

● Familiarity with AI/LLM serving infrastructure: model proxying, token metering, streaming protocols 

● Experience with Docker, container orchestration, and cloud infrastructure (AWS, Azure, or GCP) 

● Experience with Redis-based caching and pub/sub patterns 

● Exposure to API gateway or service mesh internals (e.g., Envoy, Kong, custom proxies) 

● Integration with third-party REST/gRPC APIs at scale (throttling, retries, circuit breaking, batch processing) 

● Contributions to open-source projects 

Soft Skills 

● Comfortable working in a globally distributed team across multiple timezones (the team spans Singapore, Europe, and the US) 

● Strong communication skills (written & spoken) for design discussions, code reviews, and cross-team collaboration 

● Full-cycle product delivery mindset: from problem framing through production and maintenance 

● Open to experimentation; pragmatic about adopting new technologies 

Application instructions:

Interested applicants, please apply for this job at this link: https://grnh.se/c4y6vfjz2us

Responsibilities

We are seeking an AI Engineer to lead the development of cutting-edge AI-powered applications. In this role, you’ll work across the stack—building robust Python-based backends, developing intuitive frontends in React, and architecting scalable systems that handle high-throughput data and real-time AI model integration.

This is a hands-on technical lead position for someone passionate about building production-ready AI products that are fast, secure, and user-friendly.

• Design and develop full stack AI applications, integrating powerful AI models with seamless front-end user experiences.

• Build scalable, production-grade backend services and REST APIs using Python.

• Develop clean, performant, and reusable React.js components for modern web interfaces.

• Architect efficient and secure data workflows, leveraging PostgreSQL for transactional data and ClickHouse for analytics and high-performance querying.

• Collaborate closely with AI/ML engineers, product managers, and DevOps to bring models to life in real-world applications.

• Lead architecture discussions and set engineering best practices across the stack.

• Optimize application performance, scalability, and reliability across backend and frontend systems.

• Mentor junior developers and contribute to a culture of engineering excellence.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor's degree in Computer Science, related field, or equivalent practical experience. We value both traditional education and self-taught expertise.

• 2-4 years of professional software development experience, with significant exposure to both frontend and backend technologies.

• Expertise in Python, with a strong understanding of building APIs, microservices, and data pipelines.

• Proven experience developing production-ready frontend applications using React.js (or similar frameworks).

• Deep knowledge of REST API design and integration patterns.

• Experience working with PostgreSQL and ClickHouse, or similar relational and analytical databases.

• Familiarity with integrating AI/ML models into applications (directly or via APIs).

• Strong understanding of software architecture, scalability, security, and system design.

• Experience with Docker, Kubernetes, and deploying to cloud environments (AWS, GCP, or Azure) is a plus.

Soft Skills / Personal Characteristics

• Excellent verbal and written communication skills; able to clearly articulate technical ideas and trade-offs.

• Strong sense of ownership, accountability, and leadership.

• Passion for AI and delivering impactful, data-driven software solutions.

• Comfortable working in a fast-paced, collaborative, and iterative environment.

• Willingness to mentor others and help raise the overall bar for engineering quality.

Application instructions:

Interested applicants, please apply for this job at this link: https://grnh.se/1bixw85x2us

Responsibilities

We are hiring a Senior Infrastructure Engineer to join our Global Core Infrastructure teamin conjunction with the Workato AI Lab in Singapore. You will work closely with engineers in Singapore, US and across international teams to design, scale, and secure the systems that power Workato’s automation platform - trusted by thousands of enterprises and processing billions of events every day.

As a Senior Infrastructure Engineer, you’ll be part of the team responsible for the architecture, scalability, and reliability of Workato’s distributed cloud platform. You’ll design and optimize the systems that allow our services to run securely and efficiently at scale. This is a highly technical role that requires deep experience with cloud infrastructure, Linux internals, and large-scale distributed systems.

 In this role, you will also be responsible to:

• Design, build, and maintain a global, distributed, and resilient cloud infrastructure.

• Collaborate with US-based engineering teams to plan and deliver complex platform initiatives.

• Patch and optimize open-source components for performance and security.

• Develop low-level internal services using Linux syscalls and networking primitives.

• Manage and provision AWS infrastructure using Terraform and Kubernetes.

• Write and maintain Kubernetes manifests and deployment configurations for critical workloads.

• Improve and maintain CI/CD pipelines for scalable and secure component delivery.

• Tune Linux systems and open-source software for high performance and hardened security.

• Build internal tools to streamline engineering workflows and operational automation.

• Participate in architecture reviews, incident response, and performance analysis to ensure system reliability.

Requirements

Qualifications / Experience / Technical Skills

• 7+ years of experience in infrastructure or systems engineering roles.

• Proven expertise in distributed systems and cloud-native architectures.

• Strong understanding of Linux internals, including networking and system-level performance tuning.

• Experience operating infrastructure on AWS at scale.

• Proficiency with Terraform, Kubernetes. 

• Solid understanding of network security and cloud security best practices.

• Hands-on experience optimizing CI/CD workflows and automating deployments.

• Excellent analytical, troubleshooting, and communication skills.

Nice to Have

• Experience with Golang for tooling or internal services.

• Familiarity with Kafka, Redis, ClickHouse, PostgreSQL, or similar technologies.

• Experience with observability tools such as Grafana, Prometheus, or VictoriaMetrics.

• Understanding of Vault or other secrets management systems.

• Contributions to or maintenance of open-source infrastructure projects.

Tech Stack

• AWS • Terraform • Kubernetes • Docker • Linux • Golang • ArgoCD • Kafka • PostgreSQL Redis • ClickHouse • Grafana • VictoriaMetrics • Vault

Application instructions:

Interested applicants, please apply for this job at this link: https://grnh.se/1ri3y6pi2us

Responsibilities

We are looking for an exceptional Senior Ruby on Rails Developer to join our growing team. In this role, you will be responsible for building API interfaces and backend infrastructure and collaborate with UI, connectivity and DevOps teams to come up with elegant solutions to complex problems. You will also be responsible to:

• Build complex Ruby on Rails applications.

• Build server side infrastructure for Workato user interface.

• Contribute in all phases of the development lifecycle

• Write well designed, testable, efficient code.

• Evaluate and propose improvements to existing system.

• Support continuous improvement by investigating alternatives and technologies and presenting these for architectural review.

Requirements

Qualifications / Experience / Technical Skills

• Strong experience developing, shipping and maintaining Rails applications (5+ years)

• Vast knowledge of Ruby

• Excellent debugging, analytical, problem solving, and ability to collaborate effectively across teams

• BS/MS degree in Computer Science, Engineering or a related subject

• Solid knowledge of object-oriented programming and design

• Experience with Redis/Memcache based caching, RDBMS engines(Postgres)

• Contributions to open source projects is a plus

Application instructions:

Interested applicants, please apply for this job at this link: https://grnh.se/ycaz6g3h2us

Responsibilities

We are looking for an experienced and exceptional AI / ML Engineer (Voice Agents) to join our growing team. In this role, you will be involved in the design, development, and optimization of AI and Machine Learning products that deliver exceptional user experiences. The ideal candidate will combine strong software engineering skills with deep knowledge of machine learning systems. If building AI products from zero to one that scales to serve millions of users from first principles of AI and engineering, you are at the right place. We are building organization-aligned agents that are consistent at scale from the ground up and looking for passionate builders who are rooted in foundational AI knowledge to reimagine the agent control and data plane. 

You will be working on the AgentX Apps, Please click on the link for more details.

As part of this role you will:

• Design and implement advanced AI/ML systems with a focus on SLMs, LLMs, AI Agents, and Search architectures.
  
  
• Build conversational AI interfaces that handle multi-turn low latency chat/voice customer interactions, maintain context across sessions, and seamlessly escalate to human agents when necessary.
  
  
• Build production-grade AI pipelines for data processing, model training, fine-tuning, benchmarking (dual-control, fluid model etc.) and serving at scale.
  
  
• Implement feedback loops and continuous learning systems that incorporate customer satisfaction metrics, agent corrections, LLM evaluations, human evaluations and conversation outcomes to improve model performance over time. Reinforce organizational policies based on knowledge bases, conversational data and memory systems.
  
  
• Create AI based analytics dashboards and reporting tools to track automation effectiveness, tracing for identifying bottlenecks, identify common customer pain points, and measure key performance indicators like resolution time, containment rate, and customer satisfaction scores. Quality assurance, management to get actionable insights from customer conversations and create evals for the current generation agents.
  
  
• Lead technical initiatives for AI system integration into existing products and services.
  
  
• Collaborate with data scientists and ML researchers to implement and productionize new AI approaches and models.

Requirements

Qualifications / Experience / Technical Skills

• Bachelor's degree in Computer Science, or a related field, or equivalent practical experience.
  
  
• 5+ years in backend software development using modern programming languages (e.g., Python (strongly preferred!), Golang or Java).
  
  
• Demonstrated experience building production AI systems including chatbots, virtual assistants, and automated support agents using SLMs, LLMs (commercial, open-source models).
  
  
• Demonstrated strong foundational understanding and appreciate first principles thinking in ML, NLP (transformer based models).
  
  
• Expertise in natural language understanding (NLU) and intent classification for customer query interpretation, entity extraction, dialogue state tracking and conversation flow management for building a reliable framework for context engineering.
  
  
• Expertise in tuning streaming ASR and TTS engines, Speech to Speech models for context and domain aware transcriptions and naturalness in voice.
  
  
• Expertise in conversation mining for identifying customer intents, root cause analysis, sentiment, resolution, policy adherence for not just auditing but truly understanding conversations for business outcomes across large enterprise scale.
  
  
• Expertise in working with use case based SLMs for realtime agent coaching and recommendations.

• Expertise in building knowledge bases and FAQ systems with dynamic content retrieval and self-learning capabilities from support interactions.

• Experience implementing multi-channel support automation across chat, email, voice, and messaging platforms with consistent context handling.
  
  
• Deep knowledge of REST API design, Pub-Sub architectures and integration patterns.
  
  
• Experience working with PostgreSQL and ClickHouse, or similar relational and analytical databases (added advantage but not necessary skill)
  
  
• Strong understanding of software architecture, scalability, security, and system design.
  
  
• Experience with Docker, Kubernetes, and deploying to cloud environments (AWS, GCP, or Azure) is a plus.
  
  
• Experience with A/B testing and experimentation frameworks.

Soft Skills / Personal Characteristics

• Strong communication abilities to explain technical concepts
  
  
• Collaborative mindset for cross-functional team work
  
  
• Detail-oriented with strong focus on quality
  
  
• Self-motivated and able to work independently
  
  
• Passion for solving complex search problems

Application instructions:

Interested applicants, please apply for this job at this link: https://grnh.se/6cza4p922us

We're building an AI platform that powers intelligent automation, agentic workflows, and large-scale retrieval services across our enterprise. Looking for an engineer who understands both the systems layer and the AI protocol layer.

• Design and develop production-grade AI services and APIs that integrate with multiple LLM providers (OpenAI, Anthropic, open-source models). Build the core infrastructure, not just applications on top of it.

• Create an enterprise-grade agentic framework for orchestration, retrieval, and collaboration between multiple AI agents. This means understanding how agents communicate, how to handle state, how to route requests efficiently.

• Implement knowledge retrieval systems and semantic search using vector databases (Qdrant, ElasticSearch). You'll work on the actual retrieval logic and optimization, not just plugging in a vector DB.

• Build shared Python libraries and SDKs used across multiple services. Write code that other engineers will depend on, which means it needs to be clean, well-tested, and properly documented.

• Drive observability and validation for AI systems. Build monitoring that actually tells you what's happening with model performance, latency, cache hit rates, and failure modes.

Requirements

Qualifications / Experience / Technical Skills

• You've built production services with proper observability, deployment pipelines, monitoring, and security. You know how to run reliable systems at scale, handle data-intensive workloads, and debug distributed systems when things break.

• You understand how things work under the hood. Standard libraries over frameworks. You can read a protocol spec and implement against it directly. When you need to integrate with an API, you understand what's happening on the wire.

• Senior-level experience in Go or Python (5+ years in one, comfortable in the other). If you're coming from Go, you should know Python well enough to work in it for the first few quarters and vice versa. You'll be writing Python for core platform work.

• Strong grasp of distributed systems, API design, and data-driven architectures. You've worked with both relational and non-relational databases (PostgreSQL, Elastic, vector databases).

AI/LLM Experience

• You've worked with LLMs at the protocol level. You understand message structures, caching strategies, tool calling mechanics, and streaming responses. You know what's happening during inference, not just what the SDK abstracts away.

• You've integrated with OpenAI-compatible APIs, ideally building directly against the protocol rather than relying on high-level frameworks. You can evaluate an LLM response, understand token usage, and optimize for latency and cost.

• Experience with semantic retrieval, vector databases, or knowledge graph architectures is valuable. You understand the tradeoffs between different retrieval strategies.

Working Style

• You learn fast and stay current. You monitor what's happening in AI infrastructure globally and can evaluate new approaches quickly.

• You participate in technical design discussions, code reviews, and mentor other engineers. You can explain complex technical concepts clearly to both engineers and non-technical stakeholders.

• You're comfortable with the full development lifecycle: design, implementation, deployment, monitoring, and continuous improvement.

Environment

You'll work with Python, FastAPI, LLM APIs, vector databases, PostgreSQL, Kubernetes, and modern CI/CD tooling. We use frameworks where appropriate (LiteLLM, Langfuse, etc.), but prefer engineers who understand what's underneath and can work at the protocol level when needed.

Application instructions:

Interested applicants, please apply for this job at this link: https://grnh.se/yl9tvv0d2us

Responsibilities

We are looking for an experienced Forward Deployed Engineer to join our Forward Deployed Engineering team. In this role you will be responsible for designing, developing, and deploying advanced AI Agentic Solutions that exhibit autonomous, proactive, and adaptive behaviors. This role requires a deep understanding of AI/ML technologies, integration, automation experience and solution architecture, combined with strong problem-solving skills and the ability to collaborate across multidisciplinary teams.

You will also be responsible to:

• Implement agent-based AI solutions using the Workato Agentic AI platform.

• Implement intelligent, autonomous, and efficient agentic AI workflows that utilize multi-agent collaboration, orchestration, and the automation capabilities provided by the Workato platform

• Implement and deploy Retrieval-Augmented Generation (RAG) systems using Workato’s Agentic AI capabilities, leveraging its connectors, workflows, and recipes to enable context-aware, grounded, and real-time responses from large language models (LLMs)

• Develop advanced prompting, memory management, and behavior-planning techniques to enable LLMs and agents to reliably author and execute complex workflows

• Act as a technical solutions expert with strong aptitude in troubleshooting and analyzing AI-driven architectures, including scalable RAG pipelines and agent frameworks built using the Workato Agentic AI platform.

• Develop and maintain robust, scalable AI-powered IT workflows with agent-based decision-making, dynamic retrieval mechanisms, and seamless integration using the Workato Agentic AI platform.

• Continuously monitor and improve AI system performance, ensuring efficiency and reliability

• Work closely with customers to understand use cases and deliver tailored, scalable agentic AI and RAG-based solutions using the Workato Agentic AI platform, while prioritizing exceptional customer service to ensure alignment with both technical and business needs, as well as satisfaction and successful implementation.

• Collaborate with cross-functional teams to integrate AI workflows into existing IT frameworks, ensuring smooth and seamless deployment.

• Contribute to internal process improvements and promote knowledge sharing by adding to Workato’s knowledge base.

• Play an instrumental role in all phases of product development, from ideation to implementation, contributing valuable insights and expertise.

• Assist the product manager in creating technical and design specifications, ensuring alignment with product goals and user needs.

• Leverage strong communication skills to effectively translate complex technical concepts into accessible insights for non-technical audiences.

Requirements

Qualifications / Experience / Technical Skills

• BTech/BE or higher technical education in Computer Science, Artificial Intelligence, Machine Learning, or a related field.

• A minimum of 4+ years of relevant experience in design, development, and implementation is required, including at least 1 year of hands-on experience with Workato.

• Proven experience in AI engineering, with a focus on agent-based systems.

• Demonstrated ability to design and implement scalable AI-driven workflows that enhance IT operations.

• Knowledge of implementing integration projects is essential. Hands-on experience with automation technologies, middleware, integration architecture patterns, web services technologies, enterprise messaging patterns, APIs, SOA, ESB, BPM, SDKs, and databases.

• Experience working with integration platforms such as Workato, TIBCO, Dell Boomi, MuleSoft, or other integration/automation tools is a plus.

• Experience with cloud technologies—iPaaS, SaaS applications, and cloud infrastructure—is also a plus.

• Strong working knowledge of APIs—RESTful, SOAP/XML. Solid understanding of data structures—JSON. Sound knowledge of any RDBMS/NoSQL.

• Hands-on experience with any of the following: Java, Python, or Ruby

• Technical background or a solid understanding of technology and industry trends, especially in the app integration space.

• Experience working with cloud business apps like Workday, NetSuite, Salesforce, ServiceNow, Marketo is a plus.

• Good knowledge of Microservices or API-based integration architecture, event-driven architecture, and process automation via BPM or RPA is a plus.

Soft Skills / Personal Characteristics

• Strong collaboration skills, ability to adapt to a dynamic start-up environment with a passion for making an impact

• Strong critical thinking, analytical skills with an entrepreneurial and proactive mind-set

• Ability to effectively prioritize tasks and manage time, even under high-pressure situations

• Strong written and oral communication skills, with the ability to convey complex technical concepts effectively to a non-technical audience

• Fast learner who can independently conduct extensive research, and synthesize ideas, information and options quickly

• Be proactive about solving problems and be ready to take on additional initiatives and responsibilities as they emerge