About the Role

We are looking for a highly skilled GenAI Engineer with strong Python development experience to design, develop, and deploy AI-powered applications using Large Language Models (LLMs) and Generative AI frameworks. The ideal candidate should have hands-on experience building RAG-based solutions, AI agents, and scalable backend services for enterprise-grade applications.

Key Responsibilities

- Design and develop Generative AI applications using Python.

- Build RAG (Retrieval-Augmented Generation) pipelines using vector databases and document processing frameworks.

- Integrate and optimize LLMs such as OpenAI, Azure OpenAI, Claude, Llama, Mistral, or Gemini.

- Develop AI agents and multi-agent workflows using frameworks such as LangChain, LangGraph, CrewAI, or AutoGen.

- Create and maintain REST APIs / FastAPI services for AI model integration.

- Implement prompt engineering, evaluation, and monitoring for LLM applications.

- Work with cloud platforms (Azure / AWS / GCP) for deployment and scaling.

- Collaborate with data engineers, architects, and business stakeholders to deliver AI-driven solutions.

- Ensure performance, security, observability, and reliability of AI applications.

Required Skills

- 5 to 7 years of software development experience with Python.

- Strong expertise in Python frameworks such as FastAPI, Flask, or Django.

- Hands-on experience with Generative AI and LLM integration.

- Experience with LangChain / LangGraph / CrewAI / AutoGen.





- Knowledge of vector databases such as FAISS, Pinecone, Weaviate, Chroma, or Azure AI Search.

- Robust understanding of RAG architecture, embeddings, semantic search, and prompt engineering.

- Experience working with SQL / NoSQL databases.

- Familiarity with Docker, Git, CI/CD pipelines, and cloud-native deployments.

- Good understanding of software design patterns, APIs, and scalable distributed systems.

Preferred Qualifications

- Experience with Azure OpenAI Service or AWS Bedrock.

- Exposure to multi-agent orchestration and autonomous workflows.

- Knowledge of MLOps / LLMOps tools for model evaluation and monitoring.

- Understanding of data pipelines, ETL processes, and enterprise integration patterns.

- Experience with Node.js for AI service integration is an added advantage.

- Bachelors or Master’s degree in Computer Science, Information Technology, Data Science, or a related field.

Nice to Have

- Experience with Hugging Face Transformers and open-source LLMs.

- Exposure to knowledge graphs, document intelligence, or conversational AI platforms.

- Contributions to AI/ML open-source projects or published AI solutions.

What We Offer

- Opportunity to work on cutting-edge GenAI and Agentic AI projects.

- Exposure to enterprise-scale AI transformation initiatives.

- Collaborative and innovation-driven work environment.

- Continuous learning opportunities in LLMs, AI Agents, and Cloud AI services.

📌 AI Engineer (Bengaluru)
🏢 Senzcraft Technologies
📍 Bengaluru