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Python GenAI Developer – Banking Client Job Summary We are looking for a Python GenAI Developer with strong hands-on experience in Python, Generative AI, LLMs, and RAG to develop enterprise-grade AI solutions for a banking client. Key Responsibilities Develop and integrate GenAI/LLM-based applications using Python. Build RAG pipelines, AI agents, and prompt engineering solutions . Develop REST APIs and backend services using FastAPI/Flask . Integrate LLMs such as Azure OpenAI, OpenAI, Gemini, Claude, or Llama . Work with LangChain, LangGraph, or LlamaIndex . Implement vector search using Pinecone, FAISS, Azure AI Search , or similar technologies. Collaborate with architects, data teams, and business stakeholders to deliver AI solutions. Follow enterprise security, privacy, and responsible AI standards. Required Skills Strong hands-on experience with Python . Experience with Generative AI, LLMs, RAG, and Prompt Engineering . Experience with LangChain/LangGraph/LlamaIndex . Knowledge of Vector Databases and Embeddings . Experience with FastAPI/Flask and REST APIs . Knowledge of Azure/AWS/GCP . Good understanding of NLP and Machine Learning concepts . Experience with Git, Docker, and CI/CD . Banking Domain Prior experience in Banking, BFSI, Financial Services, or FinTech is preferred. Exposure to KYC, AML, fraud, payments, lending, risk, or compliance is an advantage. Experience 5+ years of overall software development experience with 2+ years of hands-on GenAI/LLM experience preferred.
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Most developer ads you'll see are written in English: 18,397 of the 24,795. That doesn't tell you whether the job itself requires you to speak English or work in English daily, so read each posting carefully. Don't assume the language of the ad matches the language of the team.
The employers posting the most developer roles are Link Group (369 jobs), Upvanta (257), jobgether (226), and OfferZen (212). If you're applying to any of these, research their hiring patterns. They move fast and post often, which means they're either scaling hard or replacing people who didn't fit.
In your interview, expect this: 'Walk me through the last time you had to debug something that took you more than an hour. What was it, what did you try first, and what would you do differently?' Hiring managers ask this to see if you think systematically or just try random fixes. Have a real example ready with specifics.