Knowledge, Skills & Attributes

Essential:

• Full-stack .NET development — C#/ASP.NET Core on the backend paired with a modern front-end framework.
• Hands-on agentic development experience — building AI agents or agentic workflows (tool-use/function calling, multi-step task orchestration, agent loops); not just prompting an LLM, but building systems around one.
• Practical LLM API integration (Anthropic, OpenAI, Bedrock, or Azure OpenAI), including authentication, streaming, error handling, and cost/latency tradeoffs.
• Proven full-stack delivery of AI features — able to take an agentic/AI feature from backend integration through to a usable front-end, not just a notebook prototype.
• Daily, hands-on use of Claude Code (or an equivalent agentic CLI) as a primary development tool — comfortable working through multi-step agentic sessions and reviewing and steering AI-generated diffs, rather than occasional autocomplete-style use.
• Prompt engineering — designing and iterating on system prompts as production software contracts, not one-off experiments.
• Python proficiency as the preferred language for AI/agent tooling; comfort with async patterns a plus.
• Evaluation and observability literacy — able to reason about whether an agent's output is correct and instrument it to prove so.

Desirable:

• Claude Agent SDK experience — building custom agents, defining tools, and wiring agent loops.
• Working knowledge of agent primitives: hooks (deterministic pre/post-tool-call controls), skills (progressive-disclosure, load-on-demand instructions), subagents/multi-agent delegation, and session/state management.
• Experience authoring custom skills or slash commands for Claude Code to codify team-specific workflows.
• Exposure to MCP (Model Context Protocol) for connecting agents to internal tools and data sources.
• Working knowledge of RAG patterns and vector store integration (e.g. Qdrant, pgvector, Pinecone).
• Awareness of AI-specific risk areas relevant to a regulated environment (OWASP LLM Top 10, hallucination/determinism concerns, and auditability of agent decisions).

Why Signant Health?

At Signant Health, your work has real impact. Everything we build, support, and deliver helps advance clinical research and bring new treatments to patients faster — improving lives around the world. Our teams combine science, technology, and operational expertise to solve complex clinical trial challenges, and every role contributes to that mission.

We offer a collaborative, global environment where you can grow your career while working alongside experts across clinical, technology, data, and operations, with opportunities to learn, take ownership, and drive meaningful innovation — not just maintain the status quo.

If you are looking for purpose-driven work, smart colleagues, and the opportunity to help shape the future of clinical research and digital health, Signant Health is the place to do it.

At Signant Health, accepting difference isn't enough — we celebrate it, we support it, and we nurture it for the benefit of our team members, our clients, and our community. We are proud to be an equal opportunity workplace and an affirmative action employer, committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or veteran status. Prior to their start date, all candidates are required to be verified through a thorough background check and identity verification to confirm eligibility for employment.