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About the Role
You'll build the agentic systems behind our products: agents that reason and orchestrate, deterministic code that calculates, and every output traceable. You'll ship production code from week one, and then watch a field technician use it on a customer site, because that's where our engineering standard is set.
Responsibilities
- Design and build agentic workflows — multi-step tool use, retrieval, and orchestration — using Claude, LangChain/LangGraph and whatever earns its place next.
- Own evaluation. Define what "correct" means for a workflow, build eval harnesses and golden datasets, and hold the line: if it wouldn't convince a 30-year veteran, it doesn't ship.
- Take features from prototype to production: observability, tracing (LangSmith), error handling, and reliability that survives week six, not just the demo.
- Join customer ride-alongs and site visits — plants, hangars, the field — and bring what you learn straight back into the code.
- Work with coding agents daily (Claude Code, Cursor) — they're how we work, not a novelty — and keep making your own job smaller.
- Contribute like an owner: PR reviews, design docs, and a culture of writing things down.
Requirements
- Production experience with LLMs — you've shipped systems using model APIs (Anthropic, OpenAI or similar), not just notebooks: system-level prompt design, agent architectures, tool use, RAG.
- An evaluation habit. You've built eval pipelines — golden datasets, regression suites, LLM-as-judge where it's honest — and you can tell a good demo from a system that holds up in production.
- Strong software fundamentals: Python and/or TypeScript, Git, testing, CI, and the judgement to know when deterministic code beats a model call.
- Comfort with ambiguity and pace — small team, broad remit, shipping over ceremony.
- Curiosity about the physical world. Our users fix aircraft and keep grids running; you should want to understand their job well enough to build for it.
Skills
- Claude
- LangChain
- LangGraph
- LangSmith
- Claude Code
- Cursor
- Python
- TypeScript
- Git
- testing
- CI
- model APIs
- Anthropic
- OpenAI
- prompt design
- agent architectures
- tool use
- RAG
- eval pipelines
- golden datasets
- regression suites
- LLM-as-judge
- observability
- tracing
- error handling
- reliability
- vector stores
- hybrid search
- reranking
- fine-tuning
- model-adaptation
About the Company
- IFS Nexus Black builds AI to solve hard problems for the industries that keep the world turning: up on power lines, down on factory floors, and out in the field.
- Our products: Resolve (field service and predictive maintenance), Flow (production planning), Comply (regulatory compliance) and Reason (analytical reasoning) are used by technicians and engineers who cannot afford a tool that doesn't work first time.
- We pair 40 years of IFS industrial depth with the technical pace of a start-up, and we get results in weeks, not months.