Python AI Developer
Donato Technologies, Inc
United States
3 months 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
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
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