Senior Forge AI Engineer: Architecting Autonomous Agents

Norstella; Denver (CO); Remote; USD 150,000 - 230,000; Full time

Job summary

Norstella is seeking a Senior Forge AI Engineer to help build Forge, a greenfield agentic platform that replaces the human-driven SDLC with autonomous agents. You'll work across the full stack from orchestration to RAG pipelines and safety primitives in production.

The role emphasizes designing memory, multi-agent coordination, and safe-by-design tooling, with live shipping systems and real-world reliability.

Qualifications

• 6+ years of software engineering experience in production with AI/agentic systems.
• Production experience with at least one agentic framework (LangGraph, CrewAI, Autogen, Semantic Kernel, MCP, or comparable).
• Hands-on experience authoring MCP servers or designing tool-use APIs with explicit capability contracts and versioning.
• Experience with agent memory architectures — context management, long-term memory stores, state persistence across multi-step workflows.
• Strong fundamentals in Python and/or TypeScript; able to own production agent code from design through operation.
• Proficient in prompt engineering, tool/function calling, and multi-step orchestration; understand failure modes of non-deterministic systems.
• Working knowledge of RAG patterns, vector databases, and LLM evaluation methodologies.
• Working knowledge of AI/ML safety engineering: OWASP LLM Top 10, prompt injection defenses, RAG hardening, adversarial agent testing.

Responsibilities

• Design and build agents across the Forge chain — orchestration, tool-use surfaces, MCP server integrations, prompt and RAG pipelines — and set the agentic design patterns the team ships against.
• Own multi-agent coordination architecture: inter-agent trust boundaries, message schema contracts, partial failure handling, and recovery across the agent graph.
• Build and evolve the MCP server layer — tool schema design, capability contracts, versioning — so Forge's tool-use surface is well-defined and safe to extend.
• Design agent memory and state management: context window strategy, long-term memory integration, state persistence across complex multi-step workflows.
• Own agent quality end-to-end: eval harnesses, behavioral benchmarks, continuous evaluation pipelines, and the acceptance criteria that gate every agent release.
• Instrument agent-specific observability — token tracing, tool-call chain logging, cost attribution per run — so the platform is debuggable and defensible.
• Build safe-by-design primitives: least-privilege tool-use, PII/PHI handling, structured output validation, red-team partnership with Security.

Skills

Python

TypeScript

Agentic systems

MCP servers

Prompt engineering

RAG pipelines

LLM evaluation

AI safety

Tools

LangGraph

CrewAI

Autogen

Semantic Kernel

MCP

Job description

Norstella is seeking a Senior Forge AI Engineer to help build Forge, a greenfield agentic platform that replaces the human-driven SDLC with autonomous agents. You'll work across the full stack from orchestration to RAG pipelines and safety primitives in production.

The role emphasizes designing memory, multi-agent coordination, and safe-by-design tooling, with live shipping systems and real-world reliability.