Principal AI Engineer – Automation & AI
eClinical Solutions · United States · Yesterday
RemoteRemoteEngineering$160k–$200k/yrFull-time
Qualifications
- Bachelor’s degree in Computer Science, Engineering, Data Science, or a related technical field
- 6–10+ years of software engineering experience with recent hands-on work in AI/LLM systems
- Proven experience building and deploying:
- LLM-powered applications
- Agentic workflows
- Automation solutions in production environments
- Strong hands-on experience with tools such as:
- Codex, Claude Code, Gemini, NotebookLM (or similar AI-assisted development tools)
- LMLangChain, LangGraph, LlamaIndex, or equivalent frameworks
- Proficiency in:
- Python
- API development and system integration
- Cloud platforms (AWS, Azure, or GCP)
Preferred Experience
- With: RAG architectures and vector databases
- AI evaluation frameworks, guardrails, and monitoring
- Workflow automation tools and enterprise integrations
- Experience working in regulated environments (e.g., life sciences, healthcare, financial services)
- Familiarity with clinical data, CDISC standards, or clinical development workflows
- Experience in high-growth or PE-backed SaaS environments
Pay
US Pay Range: $160,000 - $200,000 USD