Senior AI Engineer: Gen AI, RAG & Enterprise Apps

Hudson IT and Manpower; Farmington Hills (MI); On-site; USD 150,000 - 210,000; Full time

Job summary

Hudson IT and Manpower is seeking an AI Software Engineer III to design, develop, and support secure AI-enabled applications. The role emphasizes Python development, Generative AI, prompt engineering, and enterprise AI integration in an onsite setting.

You will implement AI services with FastAPI, leverage Bedrock and LLMs, and collaborate with cross-functional teams across security, data, and DevOps in a large enterprise environment in Michigan.

Qualifications

• 8+ years of Python/AI engineering experience.
• Hands-on with Bedrock, LLM integration and generative AI.
• Proficient in prompt design, testing and evaluation.
• Experience with RAG, embeddings, semantic search and vector databases.
• Experience in large enterprise or regulated environments.

Responsibilities

• Design and develop production AI services using Python.
• Build Generative AI capabilities with Bedrock and LLMs.
• Develop prompts, templates, outputs and reusable patterns.
• Develop RAG, embedding, and vector retrieval solutions.
• Build AI agents and agent-based workflows.
• Develop reusable AI services and APIs with FastAPI and Pydantic.
• Collaborate with data, DevOps, QA, architecture and cybersecurity teams.

Skills

Python development

REST APIs

FastAPI

Pydantic

boto3

Generative AI

Prompt engineering

RAG / vector search

PostgreSQL/pgvector

Strands Agents

AWS / cloud

Tools

FastAPI

Pydantic

boto3

Strands Agents

PostgreSQL/pgvector

Docker

Amazon Textract

AWS

Job description

Hudson IT and Manpower is seeking an AI Software Engineer III to design, develop, and support secure AI-enabled applications. The role emphasizes Python development, Generative AI, prompt engineering, and enterprise AI integration in an onsite setting.

You will implement AI services with FastAPI, leverage Bedrock and LLMs, and collaborate with cross-functional teams across security, data, and DevOps in a large enterprise environment in Michigan.