Title Senior GenAI / LLM Engineer

About the Company A fast-growing global technology consulting and digital transformation company specializing in AI/ML, Generative AI, Data Engineering, Cloud Solutions, Analytics, and Software Development. We help enterprises leverage emerging technologies to drive innovation, efficiency, and business growth across diverse industries. Job Title: Senior GenAI / LLM Engineer Experience: 48 Years Location: Kolkata (On-site/Hybrid) Notice Period: Immediate to 30 Days Preferred Must Have Skills Strong Python programming and software engineering fundamentals. Expertise in Data Structures, Algorithms, OOP, Design Patterns, and Clean Coding Practices. Hands-on experience in FastAPI, REST APIs, Microservices, and Backend Development. Experience with GPT, LLaMA, Claude, Gemini, and other Large Language Models (LLMs). Strong experience in RAG (Retrieval-Augmented Generation), Prompt Engineering, Fine-tuning, LoRA, and PEFT. Hands-on experience with LangChain, LangGraph, LlamaIndex, Haystack, AI Agents, and Agentic Workflows. Experience with Vector Databases such as Pinecone, Weaviate, Milvus, ChromaDB, or FAISS. Experience building and deploying production-grade GenAI applications. Strong understanding of LLM Evaluation, Hallucination Detection, Responsible AI, AI Safety, and Data Privacy. Experience with Docker, Kubernetes, Git, CI/CD, and Cloud Platforms (AWS/GCP/Azure). Good to Have Multimodal AI Applications. Autonomous AI Agents and Multi-Agent Systems. GraphRAG and Knowledge Graphs. LLMOps / MLOps. Model Serving using vLLM, Ollama, TGI, or similar technologies. Key Responsibilities Design, develop, and deploy scalable GenAI and Agentic AI solutions. Build production-ready RAG pipelines and AI-powered applications. Develop backend services and APIs using Python and FastAPI. Integrate LLMs with enterprise applications and microservices. Optimize AI systems for performance, scalability, reliability, and cost efficiency. Collaborate with Product, Engineering, and Research teams to deliver business-focused AI solutions. Screening Criteria (Mandatory) Strong hands-on Python coding experience is mandatory. Candidates must have practical experience building GenAI applications, RAG pipelines, and Agentic AI solutions. Experience in software engineering and backend development is required. Profiles focused primarily on prompt engineering without strong coding and development expertise will not be considered. About the Company A fast-growing global technology consulting and digital transformation company specializing in AI/ML, Generative AI, Data Engineering, Cloud Solutions, Analytics, and Software Development. We help enterprises leverage emerging technologies to drive innovation, efficiency, and business growth across diverse industries. Job Title: Senior GenAI / LLM Engineer Experience: 48 Years Location: Kolkata (On-site/Hybrid) Notice Period: Immediate to 30 Days Preferred Must Have Skills Strong Python programming and software engineering fundamentals. Expertise in Data Structures, Algorithms, OOP, Design Patterns, and Clean Coding Practices. Hands-on experience in FastAPI, REST APIs, Microservices, and Backend Development. Experience with GPT, LLaMA, Claude, Gemini, and other Large Language Models (LLMs). Strong experience in RAG (Retrieval-Augmented Generation), Prompt Engineering, Fine-tuning, LoRA, and PEFT. Hands-on experience with LangChain, LangGraph, LlamaIndex, Haystack, AI Agents, and Agentic Workflows. Experience with Vector Databases such as Pinecone, Weaviate, Milvus, ChromaDB, or FAISS. Experience building and deploying production-grade GenAI applications. Strong understanding of LLM Evaluation, Hallucination Detection, Responsible AI, AI Safety, and Data Privacy. Experience with Docker, Kubernetes, Git, CI/CD, and Cloud Platforms (AWS/GCP/Azure). Good to Have Multimodal AI Applications. Autonomous AI Agents and Multi-Agent Systems. GraphRAG and Knowledge Graphs. LLMOps / MLOps. Model Serving using vLLM, Ollama, TGI, or similar technologies. Key Responsibilities Design, develop, and deploy scalable GenAI and Agentic AI solutions. Build production-ready RAG pipelines and AI-powered applications. Develop backend services and APIs using Python and FastAPI. Integrate LLMs with enterprise applications and microservices. Optimize AI systems for performance, scalability, reliability, and cost efficiency. Collaborate with Product, Engineering, and Research teams to deliver business-focused AI solutions. Screening Criteria (Mandatory) Strong hands-on Python coding experience is mandatory. Candidates must have practical experience building GenAI applications, RAG pipelines, and Agentic AI solutions. Experience in software engineering and backend development is required. Profiles focused primarily on prompt engineering without strong coding and development expertise will not be considered.