Software Engineer - AI Accelerated Development

About the role

Signant Health is seeking a Software Engineer – AI Accelerated Development to develop AI-powered, agentic features for our clinical trial platforms. This role involves integrating LLM APIs into .NET applications, designing and building AI agents and workflows, and ensuring compliance with regulatory standards.

Responsibilities

• Design and build AI agents and agentic workflows that power Signant Health’s clinical trial platforms.
• Integrate LLM APIs (Anthropic, OpenAI, Bedrock, or Azure OpenAI) into .NET application code, handling authentication, streaming, error handling, and cost/latency tradeoffs.
• Deliver AI features end-to-end, from backend integration through to a usable front-end.
• Build custom agents and tools with the Claude Agent SDK, wiring and steering agent loops.
• Author custom skills and slash commands for Claude Code to codify team-specific workflows.
• Implement RAG pipelines and integrate vector stores (e.g., Qdrant, pgvector, Pinecone) to ground agent outputs in trusted data.
• Instrument agents for evaluation and observability so their outputs can be verified, measured, and audited.
• Apply AI-specific risk controls appropriate to a regulated clinical environment, addressing hallucination, determinism, and auditability of agent decisions.
• Use Claude Code (or an equivalent agentic CLI) daily as a primary development tool, reviewing and steering AI-generated diffs.
• Knowledge and skills in prompt engineering, Python proficiency, and evaluation and observability literacy.

Requirements

• 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).
• 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.
• 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, not just 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.

Skills & Attributes

• Essential: Full-stack .NET development, practical LLM API integration, and proven full-stack delivery of AI features.
• Desirable: Claude Agent SDK experience, working knowledge of agent primitives, custom skills or slash commands for Claude Code, exposure to MCP, RAG patterns and vector store integration, awareness of AI-specific risk areas relevant to a regulated environment.

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.