Software Engineer - AI Accelerated Development

Signant Health, Inc.; United Kingdom; On-site; GBP 70,000 - 110,000; Full time

Job summary

Signant Health, Inc. is seeking a Software Engineer to advance AI-enabled features across our clinical trial platforms in the United Kingdom.

You will design agentic workflows, integrate multiple LLM APIs, and ship production-ready front-end experiences that leverage AI capabilities within a regulated environment. The role emphasizes hands-on development with CLAUDE Code, RAG patterns, and vector stores, ensuring observability, risk controls, and robust evaluation of AI outputs throughout the

Qualifications

• Full-stack .NET development (C#, ASP.NET Core) with a modern frontend.
• Hands-on agentic development—build AI agents and workflows, not just prompts.
• Practical LLM API integration, including authentication and streaming.
• A delivery of AI features from backend to production front-end.
• Daily use of Claude Code as a primary development tool.
• Prompt engineering as production contracts, not experiments.
• Python proficiency for AI tooling; async patterns a plus.
• Observability and evaluation of agent outputs for correctness.
• Claude Agent SDK experience for building agents and tools.
• Exposure to MCP to connect agents with internal data sources.

Responsibilities

• Design and build AI agents and agentic workflows powering Signant Health platforms.
• Integrate LLM APIs into .NET applications with secure auth and streaming.
• Deliver end-to-end AI features from backend integration through frontend UX.
• Instrument agents for observability and auditability in production.
• Apply AI-specific risk controls for a regulated clinical environment.
• Use Claude Code daily to review and steer AI-generated diffs.

Skills

.NET full-stack

Agentic development

LLM integration

Claude Code

RAG patterns

Vector stores

Python

Async programming

Observability

Prompt engineering

Tools

Claude Agent SDK

Qdrant

pgvector

Pinecone

Anthropic

OpenAI

Azure OpenAI

Job description

Software Engineer - AI Accelerated Development

Location: United Kingdom

Job Description

Signant Health is looking for a Software Engineer – AI Accelerated Development to build AI‑powered, agentic features into our clinical trial platforms. Working across the .NET stack, you will take AI capabilities from backend LLM integration through to a usable front‑end – designing agents and agentic workflows, not just prompting a model. This is a hands‑on engineering role for someone who works with agentic tooling every day and wants to ship production AI in a regulated, high‑impact environment.

Key Accountabilities

• Design and build AI agents and agentic workflows—tool‑use/function calling, multi‑step task orchestration, and agent loops—to 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, taking them from backend integration through to a usable, production‑ready 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, Skills & Attributes

• 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.
• 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).

EEO Statement

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.