Senior AI Engineer - Python, GenAI & RAG in Finance

OpTech; Farmington Hills (MI); On-site; USD 130,000 - 190,000; Full time

Job summary

OpTech in Farmington Hills, MI seeks a Senior AI/Python Developer to design and deploy secure, scalable AI-enabled applications for wealth and asset management. You will own Python services, ML integration, and production readiness.

The role emphasizes Generative AI, prompt engineering, RAG, document processing, and enterprise data integration, with collaboration across engineering, data, DevOps, and cybersecurity teams.

Qualifications

• 8+ years of Python/AI/ML experience in engineering roles.
• Hands-on Python with modern API frameworks.
• Experience building REST APIs with FastAPI and Pydantic.
• Proficiency with AWS services including Bedrock and Textract.
• Experience deploying LLMs and Generative AI.
• Strong prompt engineering knowledge and evaluation methods.

Responsibilities

• Design, develop, test, and maintain production-grade Python AI services.
• Build and deploy Generative AI solutions using Bedrock and LLMs.
• Develop prompt engineering templates, outputs, and reusable patterns.
• Create RAG, semantic search, embeddings, and vector retrieval systems.

Skills

Python development

AI/ML engineering

Software engineering

API development

FastAPI

Pydantic

AWS Bedrock

Amazon Textract

LLMs deployment

Generative AI

Prompt engineering

AI agents

Strands Agents

RAG

Semantic search

Embeddings

Vector databases

PostgreSQL/pgvector

Docker

Automated testing

AI governance

Data protection

Enterprise integration

Tools

FastAPI

Pydantic

Docker

PostgreSQL/pgvector

Job description

OpTech in Farmington Hills, MI seeks a Senior AI/Python Developer to design and deploy secure, scalable AI-enabled applications for wealth and asset management. You will own Python services, ML integration, and production readiness.

The role emphasizes Generative AI, prompt engineering, RAG, document processing, and enterprise data integration, with collaboration across engineering, data, DevOps, and cybersecurity teams.