Job Description

Position:

Gen AI - Senior Developer

Experience:

4+ years

Locations:

Bangalore/Pune/Hyderabad/Noida [Mode - Hybrid (2 days a week from office is mandatory)]

:

We are seeking a skilled Gen AI - Senior Developer with a strong foundation in backend engineering and hands-on experience in Generative AI. The ideal candidate will have at least 3+ years of core Python development and 1-1.5 years of experience building and deploying
AI-powered applications. This role is best suited for individuals who enjoy developing scalable AI-driven services, writing production-grade code, and collaborating with cross functional teams to deliver enterprise-ready AI solutions.

Primary Responsibilities:

Develop and maintain Python-based microservices integrating Generative AIcapabilities Build and optimize GenAI-powered solutions using Retrieval-Augmented Generation (RAG) pipelines and LLM orchestration tools Implement RESTful APIs and backend services using FastAPI/Flask integrated with OpenAI, Azure OpenAI, or open-source LLMs Collaborate with DevOps engineers to support CI/CD, containerization, and monitoring for GenAI pipelines Work with ML engineers and data scientists to optimize AI models for performance and scalability Participate in design discussions, contribute to code reviews, and ensure adherence to engineering best practices Experiment with agentic workflows using frameworks such as LangChain, LangGraph, or Semantic Kernel

Core Skills Required:

Strong proficiency in Python development with experience in frameworks like FastAPI, Flask, and asyncio Good understanding of microservices architecture and distributed systems Hands-on experience with GenAI frameworks: LangChain, LlamaIndex, Hugging Face Transformers Exposure to cloud platforms, preferably Azure (Azure OpenAI), for deploying LLM based services Experience with REST API design and external service integration Familiarity with vector databases such as FAISS, Pinecone, or Weaviate Working knowledge of DevOps concepts (Docker, GitHub Actions, Kubernetes)

Secondary / Nice-to-Have Skills:

Exposure to agentic orchestration frameworks like Autogen, LangGraph, or Semantic Kernel Experience with fine-tuning or customizing open-source LLMs Understanding of observability, logging, and performance tuning in AI systems Familiarity with MLOps practices and collaboration with ML/Data Science teams * Agile development experience with cross-functional engineering collaboration