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AI Software Engineer III

  • Hybrid
    • Farmington Hills, Michigan, United States
  • $40 - $50 per hour
  • Information Technology

AI Software Engineer III | 8+ Years | Farmington Hills, MI (Onsite 4x/week). Must have Python, AWS Bedrock, GenAI, RAG, AI Agents, Textract, FastAPI & pgvector.

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.

Job requirements

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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