Python Developer Gen Ai

Essential functions

• Design, develop, and optimize RAG (Retrieval-Augmented Generation) pipelines

• Build and maintain LLM-powered backend services using Python

• Integrate and manage vector databases, embeddings, and document ingestion pipelines

• Develop scalable APIs using FastAPI or Flask

• Implement and deploy model services with CI/CD best practices

• Collaborate on LLM agent workflows and orchestration

• Ensure clean, maintainable, and well-tested code following coding standards

• Support deployment using containers and cloud-native tooling

Qualifications

Core Technical Skills

• Strong fundamentals in Python, Data Structures & Algorithms

• Hands-on experience with FastAPI or Flask

• Solid understanding of Git, Jenkins, CI/CD pipelines, and deployment workflows

• Experience with Docker, containerization, and Kubernetes

• Practical experience with RAG pipelines, including:

  • Vector stores (FAISS, Pinecone, Weaviate, etc.)

  • Embeddings and document chunking strategies

GenAI & LLM Expertise

• Working knowledge of LLMs and GenAI concepts

• Experience with LLM agents/frameworks such as:

  • LangChain

  • CrewAI

  • Aider

  • Cline

• Familiarity with LLM providers and models, including:

  • OpenAI

  • Anthropic

  • Google Gemini

Would be a plus

• Experience with RAAG, model fine-tuning, or prompt optimization

• Exposure to model evaluation, monitoring, and performance tuning

• Experience building production-grade GenAI applications

We offer

• Opportunity to work on bleeding-edge projects
• Work with a highly motivated and dedicated team
• Competitive salary
• Flexible schedule
• Benefits package - medical insurance, sports
• Corporate social events
• Professional development opportunities
• Well-equipped office