Senior AI/ML Engineer

Title: Senior AI/ML Engineer
Location: 3 days a week onsite71 Hanover Road Florham Park New Jersey 07932 
Duration: 4+ months

Manager Notes: 
Project/Space: Retirement Services- Data Engineering Group
AI product engineer, less traditional Machine Learning Team is building out agents for retirement services- chat gpt for adp essentially; no ML skills - more building the application around ML piece.
**Manager does not want someone from a service background - this person needs to be focused on the products within the space such as chatbots, virtual assistance, voice, ect. AWS is very important so they must be experienced working in AWS. 

Must Haves:
Core Programming

• Python (Backend Engineering): 6+ Years
• Must include: AsyncIO (async/await), Pydantic, and REST API development (FastAPI)
• Containerization (Docker): 4+ Years

AWS Cloud Infrastructure
Generative AI & LLMs

• Must include: Experience building stateful agents, custom tool creation, and Model Context Protocol (MCP).
• Vector Databases & RAG (Pinecone, Qdrant, or similar): 1+ Years

System Integration

• API Client Architecture: 5+ Years
• Must include: Building robust API adapters for internal/corporate gateways, handling custom authentication, retries, and circuit breakers.

JOB DESCRIPTION
Role: Senior AI/ML Engineer (Contractor)
Core Programming

• Python (Backend Engineering): 6+ Years
• Must include: AsyncIO (async/await), Pydantic, and REST API development (FastAPI)
• Containerization (Docker): 4+ Years
• Must include: Multi-stage builds and optimization for serverless containers.

AWS Cloud Infrastructure

• AWS Compute & Networking (ECS Fargate, ECR, API Gateway, Route 53): 4+ Years
• AWS Security (IAM, Secrets Manager, VPC Config): 4+ Years
• Infrastructure as Code (Terraform or AWS CDK): 3+ Years

Generative AI & LLMs

• LLM Integration (Azure OpenAI / Azure AI Gateway): 2 Years (Market Max). I''ll take 1 year too because it''s urgent req.
• Agent Frameworks (Strands SDK, LangChain, or LlamaIndex): 2+ Years again 1 year can make do
• Must include: Experience building stateful agents, custom tool creation, and Model Context Protocol (MCP).
• Vector Databases & RAG (Pinecone, Qdrant, or similar): 1+ Years

System Integration

• API Client Architecture: 5+ Years
• Must include: Building robust API adapters for internal/corporate gateways, handling custom authentication, retries, and circuit breakers.

no ML skills more building the application around ML piece

AI product engineer, less traditional Machine