Senior Artificial Intelligence Engineer

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Verantos

📍Remote - United States

Summary

Join Verantos, a leader in high-accuracy real-world evidence (RWE) generation, as a Senior Software Engineer, AI. Contribute to a multidisciplinary team designing and delivering intelligent systems for regulatory-grade clinical studies. Build robust, production-ready AI infrastructure and intuitive workflows for researchers. This role involves developing RAG-based, agentic workflows, maintaining scalable systems, and owning the AI feature lifecycle. You will collaborate with designers, PMs, QA, and other engineers. The work is mission-driven, impacting how studies are conducted and personalized care is delivered.

Requirements

  • Bachelor’s or higher degree in Computer Science, Machine Learning, or a related field
  • 5+ years of experience in software engineering, with recent work in LLM or generative AI use cases
  • Proven experience building and deploying agent-based AI systems (e.g., task orchestration, autonomous workflows)
  • Strong expertise in Python, FastAPI, and backend architecture patterns
  • Experience with AI orchestration frameworks such as LlamaIndex Workflows, LangChain, OpenAI, and Hugging Face
  • Familiarity with vector databases and retrieval-augmented generation (RAG) patterns using tools like OpenSearch or Pinecone
  • Hands-on experience with observability and evaluation tooling for AI workflows (e.g., LangFuse, LangSmith, custom telemetry)
  • Experience working with complex or sensitive datasets, particularly in healthcare (e.g., EHR, OMOP)
  • Solid grasp of software engineering best practices, including modular code design, testing, and performance profiling
  • Experience deploying services on cloud infrastructure (AWS preferred), including Lambda, Kubernetes, or equivalent

Responsibilities

  • Design and implement RAG-based, agentic workflows tailored to life science research needs—including complex cohort definitions and real-time result exploration
  • Build and maintain scalable, production-grade systems for asynchronous query execution and real-time reporting, leveraging Snowflake, OpenSearch, and Amazon Neptune or other similar technologies
  • Own the full lifecycle of AI-powered features—from prototype to deployment, with a strong focus on performance, observability, and real-world impact
  • Contribute as part of a multidisciplinary product team, working alongside designers, PMs, QA, fullstack engineers, and DevOps to deliver cohesive, user-centered solutions
  • Drive innovation by experimenting with LLM-powered agents, enhancing user interaction, streamlining workflows, and generating actionable insights
  • Mentor team members, contribute to technical strategy, and help define best practices in clean, modular, and testable backend system design
  • Continuously evaluate performance, instrument observability, and iterate on production features to improve research outcomes and usability

Preferred Qualifications

  • Familiarity with regulated or scientific domains where traceability, reproducibility, and auditability are critical
  • Experience with cohort builder or clinical research platforms, or similar tooling used for data exploration or study design
  • Understanding of event-driven systems, websocket communication, and frontend-backend integration in data-rich environments
  • Comfort collaborating across the stack—from backend services to frontend presentation and infrastructure deployment

Benefits

  • A competitive salary that aligns with your expertise and experience
  • Fully remote work to adapt to changing circumstances
  • Comprehensive medical, dental, and vision benefits
  • 401K plan with employer matching
  • A healthy work-life balance, where life comes first

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