Senior AI Engineer/AI Lead

• Expertise in AI system architecture, prompt engineering, and large language model orchestration
• Experience designing and implementing secure integrations between AI systems and enterprise applications
• The ability to translate complex technical concepts into clear communication for non-technical stakeholders, including regulatory and quality audiences
• A commitment to quality, compliance, and patient safety in regulated environments
• Comfort working with AWS cloud services, Python, and modern AI frameworks and tools
• 7+ years of hands-on experience building ML/AI production systems, with at least 2 years working with large language models in application-level contexts
• Deep working knowledge of Anthropic Claude APIs, prompt engineering patterns, and retrieval-augmented generation architectures
• Practical experience with AWS, specifically Bedrock (model invocation, agents, knowledge bases), Lambda, S3, IAM, and CloudTrail
• Experience building multi-agent or multi-step LLM orchestration systems using frameworks such as LangGraph, LangChain, CrewAI, or Strands SDK
• Strong Python and software engineering fundamentals including API design, containerization, infrastructure-as-code, testing, and version control
• Demonstrated ability to design evaluation frameworks for LLM outputs, including accuracy measurement, regression testing, and confidence calibration
• Ability to communicate technical decisions clearly to non-technical stakeholders, including regulatory and quality audiences
• Bachelor's degree in computer science, or a related field, or equivalent professional experience
• Experience designing and implementing Model Context Protocol (MCP) servers or equivalent tool-serving frameworks
• Familiarity with GxP/regulated software environments, GAMP5 validation, CSV/CSA approaches, or FDA software guidance
• Prior work on document processing pipelines including OCR, PDF extraction, email parsing, or structured data extraction from unstructured clinical text
• Experience with MedDRA or other medical coding dictionaries
• Track record of shipping LLM-based systems in regulated industries such as pharma, healthcare, or fintech
• Exposure to pharmacovigilance, clinical safety, or healthcare data processing

We believe in flexibility, growth, and creating space for people to do their best work. Join us and be part of a team where your contributions help shape the future of clinical research.

If this job doesn't sound like the next step in your career, but perhaps you know of someone who'd be a perfect fit, send them the link to apply!

Originally posted on Himalayas