Remote Lead Forge AI Engineer

Norstella

Trenton (NJ)

Remote

USD 150,000 - 230,000

Full time

10 days ago
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Job summary

Norstella seeks a Senior Forge AI Engineer to design and build agents across the Forge chain, from orchestration to RAG pipelines, while ensuring robust multi-agent coordination and safe MCP server integration.

The role emphasizes memory/state management, evaluation pipelines, and strong emphasis on AI safety in a remote US context. You will work across the full stack in a live platform, shaping next-gen autonomous workflows.

Qualifications

  • 6+ years of software engineering experience, including production-grade AI projects.
  • Hands-on with Python and/or TypeScript in production environments.
  • Proficient in prompt engineering and managing non-deterministic systems.
  • Experience with agentic frameworks and AI safety considerations.
  • Experience authoring MCP servers or design tool-use APIs.

Responsibilities

  • Design and build agents across the Forge chain: orchestration, tool-use surfaces, MCP server integrations, prompt and RAG pipelines.
  • Own multi-agent coordination architecture: trust boundaries, contracts, and recovery across the agent graph.
  • Develop and evolve the MCP server layer: tool schema, contracts, versioning, safe extension.
  • Design agent memory and state management for multi-step workflows.
  • Ensure agent quality with eval harnesses and continuous evaluation pipelines.
  • Add observability for token tracing, tool-call logging, and cost attribution per run.
  • Build safety primitives: least-privilege tool-use and PI I/PHI handling.

Skills

6+ years
Python
TypeScript
prompt engineering
LLM/agentic systems
RAG patterns

Tools

LangGraph
CrewAI
Autogen
Semantic Kernel
MCP

Job description

Norstella seeks a Senior Forge AI Engineer to design and build agents across the Forge chain, from orchestration to RAG pipelines, while ensuring robust multi-agent coordination and safe MCP server integration.

The role emphasizes memory/state management, evaluation pipelines, and strong emphasis on AI safety in a remote US context. You will work across the full stack in a live platform, shaping next-gen autonomous workflows.

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