Gen AI / LLM Backend Developer ( 3-8 yrs )

Gen AI / LLM Backend Developer Experience : 5 – 8 Years Location : Ahmedabad, Gujarat, India Mode of Engagement : Full-time Open Positions : 2 – 4 Educational Qualification : B.E / B.Tech / M.Tech / MCA / Computer Science or related field Industry Preference: AI / SaaS / Software Product / IT Services / Data Engineering Companies Notice Period : Immediate Joiners Preferred What We Are Looking For • 5 – 8 years of hands-on experience in backend software development and distributed systems. • Strong expertise in Python, Node.js, or Java for backend application development. • Hands-on experience building and deploying Generative AI and LLM-powered applications. • Experience working with OpenAI, Azure OpenAI, Anthropic, Gemini, or open-source LLMs. • Strong understanding of Prompt Engineering, Prompt Chaining, Function Calling, and Agentic AI workflows. • Experience implementing Retrieval Augmented Generation (RAG) pipelines and contextual AI systems. • Hands-on experience with vector databases such as Pinecone, Milvus, FAISS, ChromaDB, or similar platforms. • Strong experience designing and developing RESTful APIs, GraphQL APIs, and microservices architectures. • Experience working with SQL and NoSQL databases such as PostgreSQL, MySQL, MongoDB, DynamoDB, or Redis. • Hands-on experience with AWS, Azure, or Google Cloud Platform. • Strong experience deploying and managing applications using Docker, Kubernetes, and containerized environments. • Experience building CI/CD pipelines and implementing DevOps best practices. • Good understanding of AI/ML workflows, model lifecycle management, monitoring, and observability. • Experience implementing authentication, authorization, API security, rate limiting, and compliance controls. • Strong debugging, performance optimization, and problem-solving skills. • Ability to work independently and manage multiple development initiatives simultaneously. • Candidates should be based in Ahmedabad or willing to relocate to Ahmedabad, Gujarat. • Prior experience in AI, SaaS, Software Product, or Data Engineering organizations is highly preferred. Responsibilities • Design, develop, and maintain scalable backend services for Generative AI and LLM-powered applications. • Build and integrate REST APIs, GraphQL APIs, and microservices to support AI-driven platforms. • Implement and optimize Retrieval Augmented Generation (RAG) pipelines and vector search architectures. • Integrate OpenAI, Azure OpenAI, Anthropic, Gemini, and open-source LLMs into production applications. • Design and manage prompt orchestration, context management, and AI workflow automation. • Develop scalable data processing and retrieval systems for AI applications. • Optimize AI application performance, latency, reliability, and infrastructure costs. • Build and maintain integrations with vector databases, SQL databases, and NoSQL systems. • Deploy, monitor, and scale applications using cloud-native technologies and containerized environments. • Implement security, compliance, authentication, authorization, and API governance best practices. • Collaborate closely with Data Scientists, ML Engineers, Product Teams, and Frontend Developers. • Participate in architecture discussions, code reviews, technical documentation, and engineering best practices. • Monitor AI workloads and implement observability frameworks including logging, metrics, and alerting. • Continuously evaluate emerging Gen AI technologies and recommend improvements to existing systems. Qualifications • Bachelor’s or Master’s Degree in Computer Science, Information Technology, Engineering, or related field. • Strong foundation in software engineering principles, backend architecture, and distributed systems. • Experience working with cloud-native architectures and modern DevOps practices. • Familiarity with AI/ML concepts, model deployment workflows, and LLM ecosystems. • Experience with LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar frameworks will be an added advantage. • Exposure to MLOps, model monitoring, and AI governance practices is preferred. • Prior experience working in product engineering teams or AI-focused organizations is preferred.