AI Software Engineer III

Hudson Manpower; Farmington Hills (MI); On-site; USD 150,000 - 200,000; Full time

Job summary

Hudson Manpower Inc. seeks an experienced AI Software Engineer III to design, develop, and support secure, scalable AI-enabled applications. You will focus on Python development, Generative AI, prompt engineering, RAG, document intelligence, and enterprise AI integration. Location: Farmington Hills, MI (Onsite – 4 days/week).

Experience: 8+ years. Onsite work preferred for local candidates. The role emphasizes hands-on Python, AWS, Bedrock, and AI services with collaboration across IT, data,

Qualifications

• 8+ years of experience in Python development, software engineering, AI/ML engineering, or related fields.

Responsibilities

• Design and develop production-quality applications and AI services using Python.
• Build Generative AI capabilities using Amazon Bedrock and LLMs.
• Design, develop, test, and optimize prompts, including templates, structured outputs, and reusable patterns.
• Develop RAG, intelligent search, embedding, and vector retrieval solutions.
• Build AI agents and agent-based workflows using 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.
• 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.
• Collaborate with application, data, DevOps, QA, architecture, cybersecurity, and business teams.

Skills

Python development

REST APIs

FastAPI

Pydantic

boto3

Amazon Bedrock

LLM integration

Prompt engineering

RAG

Embeddings

Semantic search

PostgreSQL/pgvector

AI agents

Strands Agents

Docker

Amazon Textract

AWS

Automated testing

AI security

Tools

Terraform

Job description

Position Summary

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.

Location: Farmington Hills, MI (Onsite – 4 days per week)
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.
  

Interview Process

1. Internal Technical Screening: 20–30 minutes.

2. Client Interview: Virtual.

Top Required Skills

• 8+ years of experience in Python development, software engineering, AI/ML engineering, or related roles.

• Hands‑on experience with Amazon Textract, AWS, Docker, and automated testing.

• Experience developing AI agents and agentic workflows, preferably using Strands Agents.

• Strong experience with Amazon Bedrock, LLM integration, and Generative AI solutions.

• Experience with RAG, embeddings, semantic search, vector databases, and PostgreSQL/pgvector.

• Strong prompt engineering skills, including prompt design, testing, optimization, structured outputs, and evaluation.

• Proficiency in Python, REST APIs, FastAPI, Pydantic, and boto3.

• Strong understanding of AI security, data protection, responsible AI, and enterprise governance.