Software Engineer – AI Accelerated Development

🕒 July 29

🔔 Pennsylvania – Remote

🔔 Pennsylvania – Remote

⏰ Full Time

🟢 Junior

🤖 AI Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Signant Health

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2000

🏥 Healthcare

☁️ SaaS

💰 Private equity on 2018-08

Healthcare • SaaS

Signant Health is a provider of eClinical technologies and services focused on collecting, managing, and analyzing clinical trial data. The company offers a suite of solutions including electronic Clinical Outcome Assessment (eCOA/ePRO), Electronic Data Capture (EDC), unified eClinical platform, eClinician ratings, rater training, randomized trial supply management (RTSM) and supply chain software, digital health technologies (telemedicine, eConsent, patient engagement apps), COA data analytics, data aggregation and intelligence, and clinical consulting services. They serve sponsors, CROs, biotech, medical devices, and other clinical trial stakeholders, supporting global trials and regulatory submissions. Signant emphasizes scientific expertise, with in-house scientists and clinicians, protocol design support, and experience across therapeutic areas including CNS, oncology, pediatrics, vaccines, and psychedelics. The company highlights 30 years of experience and involvement in trials linked to a significant portion of recent novel drug approvals.

📋 Description

• Design and build AI agents and agentic workflows for clinical trial platforms • Integrate LLM APIs into .NET applications, handling authentication, streaming, errors, cost, and latency • Deliver AI features end-to-end from backend integration to production-ready front-end • Build custom agents and tools with the Claude Agent SDK • Author custom Claude Code skills and slash commands for team workflows • Implement RAG pipelines and integrate vector stores such as Qdrant, pgvector, and Pinecone • Instrument agents for evaluation and observability • Apply AI-specific risk controls for hallucination, determinism, and auditability in a regulated clinical environment • Use Claude Code or an equivalent agentic CLI daily, reviewing and steering AI-generated diffs

🎯 Requirements

• Full-stack .NET development using C#/ASP.NET Core on the backend and a modern front-end framework • Hands-on experience building AI agents or agentic workflows, including tool-use/function calling, multi-step task orchestration, and agent loops • Practical integration of Anthropic, OpenAI, Bedrock, or Azure OpenAI APIs, including authentication, streaming, error handling, and cost/latency tradeoffs • Proven ability to deliver AI features end-to-end from backend integration through a usable front-end • Daily hands-on use of Claude Code or an equivalent agentic CLI as a primary development tool • Prompt engineering for production system prompts • Python proficiency for AI/agent tooling • Evaluation and observability literacy • Claude Agent SDK experience (desirable) • Knowledge of hooks, skills, subagents/multi-agent delegation, and session/state management (desirable) • Experience authoring custom Claude Code skills or slash commands (desirable) • Exposure to MCP (Model Context Protocol) (desirable) • Knowledge of RAG patterns and vector store integration (desirable) • Awareness of OWASP LLM Top 10, hallucination/determinism concerns, and auditability in regulated environments (desirable) • One to three years of substantive, hands-on agentic work targeted as the profile for this role

🏖️ Benefits

• Collaborative, global work environment • Career growth opportunities • Opportunities to learn • Opportunities to take ownership • Opportunity to drive meaningful innovation • Work alongside experts across clinical, technology, data, and operations • Purpose-driven work contributing to clinical research and faster access to treatments