Senior AI Engineer: Agentic Apps & Orchestration

firmus metal international pte. ltd.; Shenton Way; On-site; SGD 150,000 - 240,000; Full time

Job summary

firmus metal international pte. ltd. is seeking a Senior AI Engineer (Agents & Applications) to design, build, and operate production-grade agentic systems coordinating AI factory workflows across design-build-operate lifecycles.

You will architect agent frameworks, ensure safety and observability, and integrate with inference platforms. The role emphasizes building multi-agent coordination, retrieval-augmented reasoning, and human-in-the-loop safeguards while advancing Model-to-Grid

Qualifications

• 5+ years of software engineering experience, including 3+ years building AI/ML applications, distributed systems, automation platforms, data products, or production workflow systems.
• Demonstrated experience delivering LLM-powered, agentic, retrieval-augmented, decision-support, or operational-automation applications into production.
• Strong Python expertise, including experience with FastAPI or comparable API frameworks, asynchronous programming, event-driven services, distributed task execution, data pipelines, and API integrations.
• Hands-on experience with one or more agent frameworks, such as LangGraph, LangChain, LlamaIndex, Microsoft AutoGen, Semantic Kernel, CrewAI, PydanticAI, Haystack, DSPy, or an equivalent in-house agent framework.
• Demonstrated ability to build custom agent orchestration when frameworks are insufficient, including state machines, graph-based execution, durable workflow execution, task queues, tool routers, model routers, planners, evaluators, and human-approval flows.
• Experience with workflow and orchestration technologies such as Temporal, Dagster, Prefect, Airflow, Argo Workflows, Kubernetes Jobs, Celery, or equivalent event-driven or durable-execution platforms.
• Strong understanding of multi-agent architectures, including supervisor-worker, planner-executor, router, reflection, critic-verifier, debate, hierarchical, blackboard, and event-driven coordination patterns.
• Practical experience with RAG architectures, including chunking, embeddings, vector search, hybrid retrieval, metadata filters, reranking, structured-data retrieval, SQL generation controls, knowledge graphs, provenance, and evaluation.
• Experience with vector databases, search platforms, or graph databases such as pgvector, OpenSearch, Elasticsearch, Milvus, Weaviate, Pinecone, Qdrant, Neo4j, or equivalent technologies.

Responsibilities

• Design, build, and operate agentic applications supporting AI-factory planning, commissioning, validation, workload onboarding, benchmark analysis, model and recipe optimisation, scheduling, operations, maintenance, incident response, and continuous improvement.
• Define reference architectures for single-agent, multi-agent, workflow-based, event-driven, and human-in-the-loop agentic systems.
• Build orchestration workflows using appropriate agent frameworks and libraries, such as LangGraph, LangChain, LlamaIndex, Microsoft AutoGen, Semantic Kernel, CrewAI, PydanticAI, Haystack, DSPy, or equivalent custom-built frameworks.
• Build specialist agents for relevant Model-to-Grid and AI-factory domains, such as: Benchmark-analysis and performance-diagnosis agents, Workload recipe and runtime-configuration recommendation agents, Inference-endpoint selection, capacity, and optimization agents, Kubernetes and job-scheduler diagnostic agents, GPU-topology, network, RDMA, storage, and utilization-analysis agents.
• Develop the intelligent coordination layer for Model-to-Grid, enabling agents to reason across model characteristics, inference and training configuration, validated recipes, GPU resources, topology, scheduling policies, network and storage performance, capacity, power, thermal conditions, health signals, and operational constraints.
• Build Retrieval-Augmented Generation (RAG) pipelines using a combination of vector retrieval, hybrid search, metadata filtering, reranking, structured-data queries, graph-based retrieval where valuable, source attribution, and permission-aware access controls.

Skills

Python programming

Distributed systems

AI/ML applications

Agentic architectures

Observability

Security & responsible-AI

Tools

LangGraph

LangChain

LlamaIndex

Microsoft AutoGen

Semantic Kernel

CrewAI

PydanticAI

Haystack

DSPy

Job description

firmus metal international pte. ltd. is seeking a Senior AI Engineer (Agents & Applications) to design, build, and operate production-grade agentic systems coordinating AI factory workflows across design-build-operate lifecycles.

You will architect agent frameworks, ensure safety and observability, and integrate with inference platforms. The role emphasizes building multi-agent coordination, retrieval-augmented reasoning, and human-in-the-loop safeguards while advancing Model-to-Grid