Python AI Developer for LLMs, Hybrid

Description

Job Summary: We are seeking a Python AI Developer for LLMs to join an AI agent platform that automates legacy code analysis and generates documentation and architectural designs. Key Highlights: 1. Development of AI agents and execution pipelines. 2. Integration with LLM models (OpenAI, Anthropic, Google). 3. Prompt optimization and context utilization, and RAG integration. Python AI Developer for LLMs At CAS Training, a leading technology consulting, outsourcing, and specialized training company with over 20 years of experience, we are looking to hire a development profile for an AI agent-based platform that automates legacy code analysis and the generation of documentation and architectural proposals. The role will focus on AI agent development, LLM model integration, and building data processing and analysis pipelines. **Responsibilities:** Develop and maintain AI agents, agent execution pipelines (orchestration, dependencies, parallelism), integrate LLM models (OpenAI, Anthropic, Google), design and improve prompts, optimize context usage (filtering, structuring, token reduction), implement RAG mechanisms, and generate automatic Markdown/HTML outputs. **Requirements:** Python, APIs and backend services, LLMs and agents, LangChain, LangGraph, Git, SDLC, RAG, Cloud (AWS, Azure). Full software lifecycle experience; AI Developer profile. **Industry:** Banking PYTHON, API, LLM, LANGCHAIN, LANGGRAPH