Python AI Developer

Donato Technologies, Inc

United States

29 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Working hours

Regular working hours

Job source

www.dice.com

Tech stack

Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Continuous Integration DevOps Document Retrieval Python (Programming Language) NoSQL Standard Sql Search Technologies Software Engineering

+13 more

Google Cloud Flask (Web Framework) Large Language Models Multi-Agent Systems Prompt Engineering Model Validation Generative AI Git Fastapi Build Management Restful APIs GPT Docker

Requirements

The client is seeking a highly experienced Senior Python AI Developer with expertise in building enterprise-grade Generative AI applications. The ideal candidate will have extensive experience designing and implementing Retrieval-Augmented Generation (RAG) solutions, integrating Large Language Models (LLMs), and developing scalable AI platforms for financial services., * 10+ years of software development experience

Strong expertise in Python development
Hands-on experience building Retrieval-Augmented Generation (RAG) applications
Experience integrating LLMs such as GPT, Claude, Llama, Gemini, or Mistral
Experience with LangChain, LangGraph, LlamaIndex, or similar AI orchestration frameworks
Strong knowledge of vector databases including Pinecone, FAISS, Weaviate, ChromaDB, or Milvus
Experience with embedding models and semantic search
Experience developing REST APIs using FastAPI or Flask
Experience with prompt engineering and AI workflow optimization
Strong SQL and NoSQL database experience
Experience with Docker and Kubernetes
Cloud experience with AWS, Azure, or Google Cloud Platform
Experience with Git, CI/CD, and DevOps practices
Understanding of AI security, governance, and responsible AI practices
Experience working in Agile/Scrum environments, * Financial or banking domain experience
Experience with OCR and document intelligence
Knowledge of AI agents and multi-agent frameworks
Experience deploying enterprise AI solutions
Experience with model evaluation and observability, * Design and build enterprise RAG solutions
Develop scalable AI services using Python
Build semantic search and document retrieval pipelines
Integrate vector databases and LLMs
Optimize prompt engineering and retrieval strategies
Collaborate with data scientists, architects, and business stakehold