Project Manager, AI Engineer, Machine Learning​/ ML Engineer

Job Description

• Build, fine‑tune, and evaluate ML/LLM models for classification, prediction, summarization, RAG, and agentic workflows.
• Conduct experimentation, A/B testing, and performance tuning.
• Implement agentic frameworks (multi‑step reasoning, workflows, tool use).
• Integrate AI agents into orchestration layers (Drools, microservices, API gateways).
• Build domain‑specific ontologies, embeddings, vector search, and retrieval layers.
• Build ETL/ELT pipelines, feature stores, and real‑time data ingestion using Python and SQL.
• Work with structured/unstructured data including EDI, FHIR, PDFs, medical records.
• Develop secure, scalable APIs (REST/Graph
  
  QL) for embedding AI into product workflows.
• Integrate AI modules with microservices, Postgres DB, event queues, and messaging layers.
• Work closely with Dev Ops to deploy models into containerized environments (AWS, Docker, Lambda).
• Implement monitoring, guardrails, safety filters, hallucination‑mitigation and auditability.
• Ensure HIPAA, PHI, SOC2, CMS‑compliant AI operations.
• Drive MLOps best practices including CI/CD pipelines, versioning, and model governance.
• Work with product, clinical, engineering, and client teams to translate real‑world use cases into scalable AI solutions.
• Collaborate with SMEs in UM/CM, provider operations, risk, fraud, and claims workflows.

• Strong Python development (FastAPI, Lang Chain, Llama Index, PyTorch, transformers).
• Hands‑on LLM experience (OpenAI, AWS Bedrock, local models like Llama, Mistral).
• Experience with vector databases (Pinecone, PGVector, Chroma).
• Solid SQL experience (Postgre
  
  SQL preferred).
• Experience building microservices and event‑driven systems.
• Knowledge of AWS stack:
  Lambda, S3, EC2, API Gateway, Step Functions.
• Experience with AI agents, RAG pipelines, and orchestration frameworks.
• Familiarity with healthcare standards (FHIR, EDI 278/837/835) is a strong plus.

• Strong problem‑solving, analytical thinking, and debugging skills.
• Ability to work in fast‑paced, ambiguous, product‑driven environments.
• Excellent communication skills for cross‑functional collaboration.

• 12–18+ years of experience in AI/ML engineering or software engineering with AI integration.
• Experience in payers, providers, health tech, or regulated industries.
• Exposure to rule engines (Drools/Blaze/Sparkling Logic) and BPM/orchestration systems.
• Experience with RPA, document processing, OCR/NLP, or medical record extraction.

• Seniority level:
  Mid‑Senior level
• Employment type:
  
  Full‑time
• Job function:
  Project Management and Information Technology
• Industries: IT Services and IT Consulting