Senior Generative AI​/ML Engineer - LLMs, Safety, Cloud

Required Skills

• Strong Python programming and SQL experience
• Hands‑on experience building Generative AI or RAG‑based applications
• Experience with LLMs, prompt engineering, embeddings, semantic search, query expansion, and citations
• Experience with ML/NLP model development, evaluation, and performance monitoring
• Familiarity with LLM evaluation metrics such as answer relevance, context relevance, faithfulness, hallucination reduction, and citation accuracy
• Experience implementing AI safety guardrails, content moderation, blocked topics, or escalation logic
• Experience with cloud platforms such as GCP, AWS, or OCI
• Experience with tools such as Vertex AI, AWS Bedrock, Sage Maker, Big Query, Snowflake, Open Search, Cloud Run, Docker, Airflow, Terraform, or CI/CD pipelines
• Experience working with healthcare, claims, clinical, regulatory, life sciences, or enterprise data preferred
• Strong communication skills and ability to work with both technical and non‑technical stakeholders

• Bachelor’s degree required in Computer Science, Data Science, Engineering, Biomedical Engineering, Statistics, Applied Mathematics, or a related technical field.
• Master’s degree or higher preferred in Data Science, Computer Science, Biomedical Engineering, Artificial Intelligence, Machine Learning, Engineering, or a related field.
• Relevant certifications or coursework in Generative AI, Machine Learning, Cloud AI platforms, Data Science, or MLOps are preferred

$80-85 hourly DOE

PDSINC, LLC is an Equal Opportunity Employer.