Full-timeTech & engineering· Posted 16 Sept

Member of Technical Staff, Agentic AI Architect

MicronFrom company site

Salary

Not stated by the company

When

Full-time hours

Where

SingaporeFab 10A, Singapore

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Start: Not stated
Work mode: On-site
Experience: Experienced

About the role

This role sits within the Smart Manufacturing AI Pathfinding & Innovation team, focused on building autonomous AI agent solutions for manufacturing. You will work alongside data scientists, data engineers and expert users to turn research prototypes into production systems that deliver measurable impact. It suits an experienced engineer who enjoys solving hard problems at scale and shipping agentic AI into live environments.

What you'll do

Design and build autonomous AI agents that can reason over multiple steps, plan and execute tools to automate complex manufacturing workflows.
Implement agentic frameworks that orchestrate LLM interactions with internal APIs, databases and software tools.

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Build and maintain evaluation harnesses to benchmark agent accuracy, reliability and task success across multi-step workflows.

Profile agent and inference workloads, such as tool-calling latency and multi-agent orchestration, to find and fix compute and latency bottlenecks using observability and profiling tools.

Implement interoperable multi-agent systems using the Agent-to-Agent protocol and the Model Context Protocol, including MCP tools, plugins and skills.

Create and maintain CI/CD pipelines that deploy AI agents to Kubernetes and containerized cloud environments.

Design and implement security controls for autonomous agents, including sandboxing, access control and mitigation of prompt-injection and tool-misuse risks.

Mentor engineers on agentic system design and optimization techniques.

Good to know

Based at Fab 10A, Singapore.
Full-time position.

Requirements

Technical degree (Bachelor's or Master's) in Computer Science, Statistics or a related field
Experience optimizing inference engines such as vLLM or TensorRT-LLM for agent and LLM workloads
Experience building GenAI applications and AI agents with one or more frameworks
Proficiency with LLMs, including prompt engineering, function calling and chain-of-thought reasoning
Experience designing and implementing RAG pipelines, including ingestion, chunking, embeddings and vector search
Experience building and operating end-to-end systems that automate testing, evaluation and deployment of agents

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Member of Technical Staff, Agentic AI Architect

About the role

What you'll do

Good to know

Requirements

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