Senior Forge AI Engineer

Company:
Norstella

Location:

Remote, United States

Date Posted:
Oct 2, 2026

Employment Type:

Full Time

Job : R-2125

Norstella is a premier and critical global life sciences data and AI solutions platform dedicated to improving patient access to life-saving therapies. Norstella supports pharmaceutical and biotech companies across the full drug development lifecycle — from pipeline to patient. Our mission is simple: to help our clients bring therapies to market faster and more efficiently, ultimately impacting patient lives.

Norstella unites five market-leading brands (Citeline, Evaluate, MMIT, Panalgo, and The Dedham Group) that all have a shared vision of improving patient access to life-saving therapy. Norstella delivers must-have answers and insights for critical strategic, clinical, and commercial decision-making. We help our clients:

• Accelerate the drug development cycle
• Make data driven commercial and financial decisions
• Match and recruit patients for clinical trials
• Assess competition and bring the right drugs to market
• Identify and address barriers to patient access
• Leverage the latest AI to turn data into insights for faster and better decision making

Norstella serves almost every pharmaceutical and biotech company in the world, along with regulators like the FDA, and payers. By providing critical proprietary data supporting AI-driven workflows, Norstella helps clients make decisions faster and with greater confidence. Norstella’s investments in AI are transforming how data is consumed and decisions are made, disrupting inefficient legacy workflows and helping the industry become more efficient, innovative, and responsive to patient needs.

Most AI engineering roles ask you to bolt an LLM onto an existing product. This one doesn't. We're building Forge — a greenfield agentic platform that replaces the human-driven SDLC with an autonomous agent chain, end-to-end. You'd be working across the full stack: orchestration, multi-agent coordination, MCP server design, RAG pipelines, eval harnesses, and the safety primitives that make non-deterministic systems trustworthy in production.

Not one layer. All of it.

The platform is live and shipping. The hard problems are real: agent memory and state across multi-step runs, inter-agent trust and failure recovery, cost attribution at scale, compliance in a regulated industry. If you want to work at the frontier of agentic systems — not on a demo, on something that actually runs — this is that role.

• 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.

• 6+ years of…