AI Software Engineer III

Hudson Manpower•Farmington Hills, MI

4d•$40 - $50•Onsite

About The Position

The AI Software Engineer III designs, develops, and supports secure, scalable AI-enabled applications. The role focuses on Python development, Generative AI, prompt engineering, Retrieval-Augmented Generation (RAG), document intelligence, AI agents, and enterprise AI integration. The position is onsite in Farmington Hills, Michigan, four days per week; local candidates are strongly preferred. The engineer builds and integrates AI services using Amazon Bedrock and large language models, develops reusable APIs, and delivers RAG, intelligent search, document processing, and agent-based workflows. The role also establishes safeguards for output quality, reliability, traceability, and secure data handling; optimizes performance, latency, token usage, and cost; and develops automated testing and evaluation capabilities. The engineer collaborates with application, data, DevOps, QA, architecture, cybersecurity, and business teams.

Requirements

8+ years of experience in Python development, software engineering, AI/ML engineering, or related fields.
Strong hands-on experience with Python, REST APIs, FastAPI, Pydantic, and boto3.
Experience with Amazon Bedrock, LLM integration, and Generative AI solutions.
Strong expertise in prompt engineering, including prompt design, testing, optimization, structured outputs, and evaluation.
Experience with RAG, embeddings, semantic search, vector databases, and PostgreSQL/pgvector.
Experience developing AI agents and agentic workflows; Strands Agents is preferred.
Hands-on experience with Amazon Textract, AWS, Docker, and automated testing.
Strong understanding of AI security, data protection, responsible AI, and enterprise governance.
Experience working in large enterprise or regulated environments.

Nice To Haves

Experience developing AI agents and agentic workflows using Strands Agents.

Responsibilities

Design and develop production-quality applications and AI services using Python.
Build Generative AI capabilities using Amazon Bedrock and large language models.
Design, develop, test, and optimize prompts, including prompt templates, structured outputs, and reusable prompt patterns.
Develop RAG, intelligent search, embedding, and vector retrieval solutions.
Build AI agents and agent-based workflows using frameworks such as Strands Agents.
Develop reusable AI services and APIs using FastAPI and Pydantic.
Integrate AI solutions with structured and unstructured enterprise data.
Support document processing and extraction using Amazon Textract.
Implement vector-based retrieval using PostgreSQL/pgvector.
Establish safeguards for AI output quality, reliability, validation, traceability, and secure data handling.
Optimize AI solutions for performance, latency, token usage, and cost.
Develop automated testing and evaluation capabilities for AI solutions.
Collaborate with application, data, DevOps, QA, architecture, cybersecurity, and business teams.