AI Software Engineer III

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

The AI Software Engineer III will be responsible for designing, developing, and supporting 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.

Experience: 8+ Years

Work Arrangement: Onsite – Local candidates strongly preferred

Key Responsibilities

• Design and develop production-quality applications and AI services using Python.
• Build Generative AI capabilities using Amazon Bedrock and Large Language Models (LLMs).
• 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.

Required Qualifications

• 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, preferably using Strands Agents.
• 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.