Generative AI Engineer - Python

Role : Python + Generative AI Engineer

Location : Bangalore, India

Experience : 4+ Years

Employment Type : Full-time

Job Summary :

We are looking for an experienced Python + Generative AI Engineer with 4+ years of software development experience and strong hands-on expertise in Generative AI, LLMs, and AI application development. The ideal candidate will design and build scalable AI-powered solutions using Python, LLMs, RAG architectures, vector databases, and modern AI frameworks.

Key Responsibilities :

• Design, develop, and deploy AI/GenAI applications using Python.
• Build LLM-powered applications using models such as OpenAI GPT, Azure OpenAI, Claude, Gemini, or open-source LLMs.
• Develop Retrieval-Augmented Generation (RAG) pipelines for enterprise use cases.
• Work with vector databases such as FAISS, Pinecone, Chroma, Weaviate, or equivalent technologies.
• Develop AI agents, tool-calling workflows, and multi-step LLM applications.
• Use frameworks such as LangChain, LangGraph, LlamaIndex, or similar frameworks.
• Develop REST APIs and backend services using FastAPI, Flask, or Django.
• Implement prompt engineering, prompt optimization, structured outputs, and LLM evaluation techniques.
• Work with document processing, embeddings, chunking, metadata extraction, and semantic search.
• Integrate GenAI solutions with enterprise applications, databases, and third-party APIs.
• Implement monitoring, logging, security, guardrails, and responsible AI practices.
• Optimize applications for latency, scalability, reliability, and cost.
• Collaborate with data scientists, ML engineers, product teams, and software engineers.
• Participate in code reviews, technical design discussions, testing, and production deployment.

Required Skills :

• 4+ years of professional software development experience
• Strong proficiency in Python
• Hands-on experience with Generative AI / LLM applications
• Experience with RAG architecture
• Strong understanding of :
• Prompt engineering
• Embeddings
• Vector search
• Semantic search
• Context windows
• LLM inference
• Function/tool calling
• AI agents
• Experience with LangChain / LangGraph / LlamaIndex
• Experience with at least one vector database such as FAISS, Pinecone, Chroma, or Weaviate
• Experience building APIs using FastAPI / Flask / Django
• Good understanding of REST APIs, JSON, Git, and software development practices
• Experience with SQL and/or NoSQL databases
• Familiarity with cloud platforms such as AWS, Azure, or GCP
• Understanding of Docker and CI/CD practices

Good to Have :

• Experience with Azure OpenAI
• Experience with open-source models such as Llama, Mistral, or Qwen
• Experience with agentic AI and multi-agent systems
• Knowledge of ML/NLP fundamentals
• Experience with LLM evaluation and observability tools
• Knowledge of Kubernetes
• Experience deploying AI applications in production
• Familiarity with PyTorch or Hugging Face Transformers

Education :

• Bachelor's or Master's degree in Computer Science, Engineering, AI/ML, or a related field is preferred.