Total 2 Manager process engineer job vacancies in Bangkok

Engineering Leadership & Strategy

• Define and drive overall engineering strategy, architecture, and technical roadmap
• Establish best practices in system design, coding standards, testing, and deployment
• Ensure scalability, performance, and reliability of all systems
• Evaluate and adopt new technologies to improve engineering capabilities

Team Management & Development

• Lead, mentor, and grow a team of engineers across multiple squads
• Set clear goals, KPIs, and performance expectations for team members
• Conduct performance reviews and provide continuous feedback
• Coach team members in both technical and soft skills
• Build a strong engineering culture focused on ownership, collaboration, and quality
• Lead hiring process including interviewing and evaluating candidates

Technical Oversight

• Oversee system architecture including frontend, backend, and infrastructure
• Review and guide implementation of complex features and systems
• Ensure code quality through code reviews, testing strategies, and best practices
• Troubleshoot and resolve critical technical issues and production incidents
• Ensure systems are maintainable, reusable, and scalable

Product & Cross-functional Collaboration

• Work closely with Project Managers, Designers, and QA to deliver high-quality products
• Translate business requirements into scalable technical solutions
• Drive alignment between engineering and business goals

Delivery & Execution

• Oversee project timelines and ensure timely delivery of milestones
• Improve development processes to increase speed and efficiency
• Ensure proper planning, prioritization, and execution across teams
• Monitor and improve development lifecycle (CI/CD, testing, release process)

• 8+ years in software engineering with 3+ years in leadership roles
• Strong hands-on experience in ReactJS, Next.js, and backend (NestJS, Ruby or similar)
• Solid understanding of system design, microservices, scalability, and performance optimization
• Experience with databases (PostgreSQL, NoSQL) and caching mechanisms
• Familiar with testing practices (Unit, Integration, E2E)
• Experience with cloud platforms (AWS, Azure, GCP) and DevOps tools (Docker, Kubernetes)
• Strong knowledge of Git and modern development workflows
• Proven ability to lead teams, deliver projects, and drive engineering excellence

• Hybrid work
• Health insurance
• Annual health check
• Laptop and other equipments
• Grab transportation credit
• Education allowance
• Performance bonus

About the Role

As the Head of AI Engineering, you will lead and scale our AI Engineering function across enterprise deployments. You will define the technical vision, build and mentor a high-performing team, and ensure that AI solutions move beyond proof-of-concept into reliable, production-grade systems that drive measurable business impact.

This is a player-coach role — you will both guide strategy and remain close to the technology. You will oversee multiple enterprise engagements, shape system architecture standards, and ensure delivery excellence across all implementations.

You will own the success of AI delivery at scale — from technical direction and team capability to customer outcomes.

What You'll Do

AI Engineering Leadership

• Define and drive the overall AI engineering strategy, architecture standards, and best practices
• Build, mentor, and lead a team of AI engineers across multiple projects
• Establish scalable delivery processes, code standards, and quality benchmarks
• Create a strong engineering culture focused on ownership, speed, and impact

Enterprise AI Delivery Oversight

• Oversee end-to-end delivery of AI solutions across enterprise clients
• Ensure teams deliver from discovery → design → deployment → adoption successfully
• Act as escalation point for complex technical or delivery challenges
• Work closely with customers and stakeholders to ensure solutions align with real business needs

Agentic AI & System Architecture

• Define architecture patterns for multi-agent systems, orchestration, and AI workflows
• Guide teams in building reliable, production-ready agentic systems (LangChain, LangGraph, etc.)
• Ensure best practices in:
• LLM orchestration
• RAG pipelines
• evaluation & monitoring
• human-in-the-loop design

Technical Strategy & Innovation

• Stay at the forefront of AI advancements (LLMs, agents, infra) and translate them into practical use cases
• Evaluate tools, frameworks, and infrastructure to standardize across teams
• Drive internal innovation — reusable frameworks, templates, and tooling

Product & Cross-functional Impact

• Identify patterns across enterprise projects and translate them into product opportunities
• Partner with Product and Engineering leaders to influence roadmap
• Drive development of internal platforms, reusable assets, and accelerators

Operational Excellence

• Define KPIs for delivery success (adoption, performance, ROI)
• Ensure systems are scalable, observable, and maintainable
• Improve delivery speed through reusable components and standardized workflows

Must-Haves

• 5+ years in software engineering, with 3–5+ years in AI/ML systems in production
• Proven experience leading engineering teams or technical organizations
• Deep hands-on experience with:
• LLMs (OpenAI, Anthropic, Gemini, OSS models)
• Prompt engineering, RAG, fine-tuning, evaluation
• Agentic AI systems (multi-step reasoning, tools, memory)
• Strong system design skills across APIs, cloud (AWS/GCP/Azure), and data systems
• Experience working with enterprise clients or complex environments
• Strong ownership mindset — accountable for outcomes, not just delivery

• Hybrid work
• Health insurance
• Annual health check
• Laptop and other equipments
• Free snacks & drinks
• Weekly massage
• Grab transportation credit
• Education allowance
• Performance bonus