Senior Forge AI Engineer: Build Autonomous Agentic Platform

Norstella; Santa Fe (NM); Remote; USD 150,000 - 230,000; Full time

Job summary

Norstella seeks a Senior Forge AI Engineer to design and operate a greenfield agentic platform, Forge, across orchestration, memory, and safety layers. You will work on end-to-end agent pipelines, from memory management to tool use within a safe architecture, shaping production-grade AI systems.

The role emphasizes building scalable, auditable agent platforms, integrating RAG patterns and memory architectures, while ensuring secure, compliant operation in a regulated domain.

Qualifications

• 6+ years of software engineering experience, with at least 2 years building and operating LLM-powered or agentic systems in production.
• Production experience with at least one agentic framework and a clear understanding of the trade-offs each introduces.
• Hands-on experience authoring MCP servers or designing tool-use APIs with explicit capability contracts and versioning.
• Experience with agent memory architectures — context management and long-term memory stores 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 calling, and multi-step orchestration; knowledgeable about failure modes of non-deterministic systems.
• Working knowledge of RAG patterns, vector databases, and LLM evaluation methodologies applied to production agent outputs.

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

LLM frameworks

Agentic systems

MCP servers

Prompt engineering

Tool use APIs

Tools

LangGraph

CrewAI

Autogen

Semantic Kernel

MCP

Job description

Norstella seeks a Senior Forge AI Engineer to design and operate a greenfield agentic platform, Forge, across orchestration, memory, and safety layers. You will work on end-to-end agent pipelines, from memory management to tool use within a safe architecture, shaping production-grade AI systems.

The role emphasizes building scalable, auditable agent platforms, integrating RAG patterns and memory architectures, while ensuring secure, compliant operation in a regulated domain.