AI Software Engineer III

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.