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Open nowPosted 4 hours ago

AI Software Engineer III

Hudson Manpower186 open roles

Pay
$40 – $50 an hour
Where
Farmington Hills, Michigan, United States
Work mode
Hybrid
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Your applicationOpen nowAI Software Engineer IIIHudson Manpower · Farmington Hills, Michigan, United States

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The clock on this job

Early applications get read.

13.8% of postings close within 7 days. Measured by our own scanner across the market. Hudson Manpower postings stay open a median of 7 days.

Share of postings closed within
  1. 2.2%1 day
  2. 4.7%3 days
  3. 13.8%7 days
  4. 22.3%14 days
  5. 37.8%30 days
  6. 59.0%60 days
This job: posted 4 hours ago

Hudson Manpower median: 7 days open

The posting

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.
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