Total 9 job vacancies by Version 1

Role Overview

As an AI Engineer focused on Generative and Agentic AI, you will design, build, deploy, and operate production-ready AI systems, taking ideas from early prototypes through to reliable, enterprise-grade solutions. You will work hands-on with real customer and internal use cases, owning the full lifecycle from design and orchestration to deployment, monitoring, and continuous improvement.

The role emphasizes building intelligent systems that can reason, plan, use tools, and make decisions, rather than standalone models or simple chatbots. You will apply modern Generative AI techniques and strong software engineering practices to deliver real-world AI outcomes on a scale.

Key Responsibilities

• Experience needed 5-7 years
• Generative & Agentic AI Development
• · Design and build LLM-based systems using:
• o Retrieval Augmented Generation (RAG)
• o Embeddings and vector search
• o Prompt engineering and prompt optimization
• o Function calling and tool usage
• o Agentic and multi-agent workflows
• · Develop AI systems that integrate LLMs with REST APIs, enterprise systems, data platforms, and workflows
• · Apply LLM evaluation techniques to assess quality, reliability, safety, and performance
• End-to-End AI Engineering
• · Own the full lifecycle of AI solutions—from prototype to production
• · Build, deploy, and operate AI workloads in AWS environments
• · Ensure production readiness with focus on scalability, reliability, performance, security, and cost optimization
• · Implement CI/CD pipelines, automated testing, and versioning for AI systems
• Engineering Excellence & Operations
• · Apply strong software engineering and distributed systems principles to AI development
• · Implement observability practices including logs, metrics, traces, and alerts
• · Monitor model behavior, system health, latency, and failures in production
• · Contribute to responsible AI practices, governance, and quality standards
• Collaboration & Enablement
• · Work closely with other AI engineers, data scientists, platform teams, and business stakeholders
• · Contribute to building and scaling AI platforms and reusable components
• · Support low-code / Copilot / Flow-style solutions where appropriate
• · Share knowledge and mentor junior engineers on Generative and Agentic AI best practices

The Role

We are looking for a Senior Data Engineer to join Version 1’s Data & AI Practice, working on modern data platforms for enterprise and regulated clients. You will be a hands‑on engineer with strong production experience, contributing to the design, build, and operation of scalable, cloud‑native data solutions that enable analytics and AI at scale.

This is a delivery‑focused role for an experienced engineer who enjoys solving complex data challenges, takes ownership of outcomes, and applies strong engineering discipline in real‑world environments.

What You’ll Be Doing

• · Designing, building, and operating reliable data pipelines using modern ETL/ELT approaches
• · Engineering cloud‑native data platforms, primarily on AWS (with Azure exposure where required)
• · Working with technologies such as Databricks, PostgreSQL, Aurora, and distributed processing frameworks
• · Ensuring solutions are production‑ready: secure, tested, observable, and cost‑efficient
• · Optimising data performance, reliability, and data quality in live environments
• · Collaborating with analysts, data scientists, AI engineers, and platform teams
• · Mentoring junior engineers and contributing to shared standards and accelerators

Role Overview

We are seeking a Data Scientist to design, build, and deliver production ready data science and machine learning solutions for enterprise and regulated clients. This is a hands on role covering the full lifecycle - from data exploration and feature engineering through to model deployment, evaluation, and iteration.

The role suits someone focused on real world delivery and measurable outcomes, rather than research in isolation.

Key Responsibilities

• · Develop and deploy ML and data science solutions from proof of concept to production
• · Perform data exploration, feature engineering, and model development on large datasets
• · Apply techniques across prediction, classification, clustering, NLP, and multimodal AI
• · Use both traditional ML and GenAI / LLM approaches where appropriate
• · Track experiments, metrics, and model versions (e.g. MLflow)
• · Collaborate with data engineers and AI engineers to integrate models into platforms
• · Continuously improve models based on performance, feedback, and data drift

We are looking for a Senior Software Engineer in Test / Senior Test Engineer / Test Analyst with strong hands-on automation testing experience. In this role, you will design, develop, and maintain automated test suites using industry-standard tools to validate client-facing applications and ensure high product quality across AWS-based systems, including AI/ML platforms and data/analytics infrastructure (e.g., AWS Bedrock, Databricks) and database layers (Aurora / PostgreSQL).

Key Responsibilities:

• Managing Test creation, execution, defects, retests, sync with BAs for requirement clarity.
• Representing team in all scrum meetings and own the discussion.
• Participate in sprint planning, daily stand-ups, and retrospective meetings.
• Understand and execute test strategies and test plan.
• Integration and Data layer testing as part of ETL.
• Perform database testing and data validation for AWS Aurora / PostgreSQL (schemas, queries, stored logic where applicable), ensuring data integrity across services and pipelines.
• Test data/analytics and AI/ML workflows (e.g., Databricks jobs/pipelines, feature engineering, model/LLM inference integration) across environments.
• Validate AI/GenAI service integrations (e.g., AWS Bedrock) including prompt/response contracts, latency, error handling, and safety/guardrail behaviors.
• Collaborate with data/ML engineers to define test data, quality checks, and observability for pipelines (logs/metrics), and to mitigate issues such as data drift and schema changes.
• E2E system testing by covering all flows.
• Collaborate with cross-functional teams to understand project requirements and ensure test coverage.
• Contribute to the design and implementation of CI/CD pipelines for automated testing and deployment.
• Reviewing test environments and processes to facilitate continuous improvement and maintenance of quality standards.
• Providing test estimates
• Build automation using selenium, Java OR any industry standard tool.

Key Responsibilities

• Look for 7-10 years of experience in Devops and AWS.
• Design, build, and maintain cloud-native applications using AWS serverless services (e.g., Lambda, API Gateway, DynamoDB, SQS, Cognito, CloudWatch).
• Manage and operate AI/ML Platform on AWS
• Develop infrastructure as code using AWS CDK or similar tools (e.g., Terraform, CloudFormation).
• Able to build front/back-end solutions
• Contribute to event-driven and microservices architectures.
• Collaborate with cross-functional teams, support DevOps processes (CI/CD pipelines, configuration management), and troubleshoot issues across the stack.

Role Overview

We are seeking an experienced and highly motivated Senior Business Analyst to join our consulting team. In this role, you will work closely with clients, product teams, and delivery colleagues to define, analyse, and shape business and technology solutions.

You will bring strong business analysis fundamentals, hands-on Agile delivery experience, and the ability to operate confidently with senior stakeholders. This role suits someone who thrives in a fast-paced, dynamic environment and enjoys solving complex business problems.

Key Responsibilities

• · Lead end-to-end business analysis activities across discovery, design, and delivery phases, including facilitating workshops and stakeholder sessions.
• · Engage, influence, and advise senior stakeholders, including policy makers and C-suite representatives.
• · Elicit, analyse, and document requirements using user stories, process maps, and supporting artefacts to build and refine product backlogs.
• · Perform root cause analysis and translate business needs into clear, actionable solution designs and system specifications.
• · Conduct options analysis, feasibility assessments, and contribute to solution recommendations.
• · Analyse and help shape AI and data-driven use cases in collaboration with technical and data teams.
• · Manage stakeholders across all levels—from executive sponsors to delivery teams—both internally and client-side.
• · Support User Acceptance Testing (UAT) across all testing phases to ensure solutions meet business needs and are release-ready.

We are seeking a highly motivated individual to join our team as a Scrum Master. The ideal candidate will have a solid understanding of Scrum methodologies and be able to apply them to our development process. You will also have strong business analysis skills and be able to work with stakeholders to identify, prioritize requirements, educate them about Agile as well as experience with data analysis and management. 

Key Responsibilities:

• 8+ years of experience working within an Agile environment as Scrum Master 
• Facilitate Scrum ceremonies such as sprint planning, daily stand-ups, sprint demos\reviews, and retrospectives.
• Coach and guide the development team on Scrum, Lean and DevOps principles and practices.
• Propose improvements to the current process and Agile practices.
• Collaborate with stakeholders to understand business requirements and translate them into user stories and acceptance criteria.
• Work with product owners to conduct business analysis activities such as requirements gathering, process mapping, user stories, wire frames, documentation of features and gap analysis.
• Work to prioritize, maintain the product backlog and acceptance criteria to maximize value of data solutions.
• Ensure that the product backlog items are clearly defined, well understood, and properly estimated by the development team.
• Develop and maintain data-related documentation and requirements.
• Encourage a culture of continuous improvement and accountability for individual processes.
• Drive and manage a culture of data adaptation and metrics to measure performance.
• Continuously monitor the Project’ and Squad’s performance, gather feedback from various stakeholders and respond/take actions to show continuous improvement.
• Work with cross-functional teams to ensure timely delivery of high-quality.
• Communicate progress, risks, and dependencies to stakeholders and leadership, escalate to delivery manager when needed 
• To be the key liaison between Internal Customer and Development team.
• Committed to clients and to delivery.

Overview

As an AI Technical Lead / Architect focused on Generative and Agentic AI, you will architect, design, and lead the delivery of production-ready, enterprise-grade AI systems. You will take ideas from early experimentation and prototypes through scalable, secure, and reliable AI solutions used by real customers and internal users.

The role focuses on building intelligent, agent-based systems that can reason, plan, integrate with tools, and make autonomous decisions at enterprise scale.

Strong engineering mindset with end-to-end ownership, experience delivering real-world AI solutions at enterprise scale, and ability to mentor and influence across teams.

Key Responsibilities

Technical Leadership & Architecture

• Provide technical leadership and architecture for Generative and Agentic AI initiatives
•  Design end-to-end AI system architectures covering orchestration, data, APIs, security, and deployment
• Build LLM-based solutions using RAG, embeddings, prompt engineering, function calling, and agentic workflows
• Ensure production readiness including CI/CD, testing, observability, scalability, security, and cost optimization
• Mentor AI engineers and collaborate with business and technology stakeholders

Generative & Agentic AI Engineering

• Design and build LLM-based systems using techniques such as:
•  Retrieval Augmented Generation (RAG)
•  Embeddings and vector search
• Prompt engineering and prompt optimization
• Function calling and tool usage
• Agentic and multi-agent workflows
• Build AI systems that integrate LLMs with APIs, data platforms, enterprise applications, and workflow engines
• Apply modern AI evaluation approaches including automated testing, benchmarking, and qualitative + quantitative LLM evaluation

Engineering Exc ellence & Operations

• · Apply strong software engineering and distributed systems principles to AI development
• · Design for observability, including logging, metrics, tracing, alerts, and model performance monitoring
• · Diagnose and resolve production issues related to latency, reliability, data quality, and model behavior
• · Balance innovation speed with operational excellence and long-term maintainability

Collaboration, Enablement & Mentorship

• · Work closely with business stakeholders to translate real-world problems into AI-driven solutions
• · Partner with AI engineers, data scientists, and platform teams to scale delivery
• · Mentor and coach engineers on Generative AI, Agentic AI, and cloud-native best practices
• · Support low-code and Copilot/Flow-style solutions where appropriate, while ensuring architectural integrity

Experience: 5+ years

Role Overview:

We are looking for an experienced UI Developer with strong expertise in React, Next.js, TypeScript, HTML and CSS to design and build modern, responsive, and high-performance web applications. You will work closely with UX designers, backend engineers, and product stakeholders to translate requirements and designs into scalable, maintainable, and user-friendly interfaces.

The role requires a solid understanding of frontend architecture, best practices, and performance optimization, with a strong focus on clean code, reusability, and accessibility.