Recently postedTechnology

Senior AI/Python Developer

Javen Technologies, IncFarmington Hills, MI🇺🇸United States

Quick overview

SeniorityMid Senior

Work modeHybrid

LocationFarmington Hills, MI, United States

DockerFastAPIAWSLLMPythonGenerative AIRESTPostgreSQLPrompt EngineeringRAG

Job description

Position Summary

The Senior AI/Python Developer designs, develops, and supports secure, scalable AI-enabled applications for Wealth & Asset Management. The role focuses on Python development, Generative AI, prompt engineering, RAG, document intelligence, AI agents, and enterprise AI integration.

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 and prompt engineering techniques, including prompt templates, structured outputs, and reusable prompt patterns.
Develop Retrieval-Augmented Generation (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 technologies such as FastAPI and Pydantic.
Integrate AI solutions with structured and unstructured enterprise data.
Support document processing and extraction using Amazon Textract, where appropriate.
Implement vector-based retrieval using PostgreSQL/pgvector.
Implement 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 roles.
Strong hands-on experience with Python, REST APIs, FastAPI, Pydantic, and boto3.
Experience with Amazon Bedrock, LLM integration, and Generative AI solutions.
Strong experience with 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.
Experience with Amazon Textract, AWS, Docker, and automated testing.
Strong understanding of AI security, data protection, responsible AI, and enterprise governance.
Experience working within large enterprise or regulated environments.