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Job Title


Generative AI Engineer


Company : Calsoft


Location : Pune, Maharashtra


Created : 2026-04-10


Job Type : Full Time


Job Description

Job Title: AI/ML Engineer – GenAI / Agentic AIExperience: 5+ Years Location: Pune / Indore / Bangalore / KolkataRole SummaryWe are looking for an experienced AI/ML Engineer – GenAI / Agentic AI to design, build, and deploy intelligent, autonomous AI systems. The role involves working on Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) pipelines, and Agentic AI frameworks to solve real-world enterprise problems.Key Responsibilities •Design, develop, and deploy Generative AI and Agentic AI solutions using LLMs•Build and optimize RAG pipelines with vector databases (FAISS, Pinecone, Weaviate, etc.)•Develop multi-agent systems using frameworks like LangChain, LangGraph, AutoGen, CrewAI•Integrate LLMs with enterprise systems, APIs, tools, and workflows•Fine-tune and prompt-engineer LLMs for domain-specific use cases•Implement evaluation, monitoring, and guardrails for GenAI systems•Collaborate with product, data, and cloud teams for scalable deployment•Ensure performance, cost optimization, security, and complianceMandatory Skills•Python (Strong proficiency)•AI/ML fundamentals – NLP, Deep Learning, Transformers•Generative AI & LLMs (OpenAI, Azure OpenAI, Gemini, Anthropic, LLaMA, etc.)•Agentic AI frameworks – LangChain / LangGraph / AutoGen / CrewAI•RAG architecture and vector databases•Prompt engineering & LLM orchestration•REST APIs, microservices integrationGood to Have•Fine-tuning LLMs (LoRA, PEFT)•Experience with MLOps / LLMOps (MLflow, Kubeflow, monitoring tools)•Cloud platforms: AWS / Azure / GCP•Knowledge of Docker, Kubernetes•Experience in enterprise use cases (BFSI, Healthcare, Retail, Telecom)Qualifications•B.E. / B.Tech / M.Tech / MCA in Computer Science, AI, Data Science, or related field•5+ years of hands-on experience in AI/ML with recent focus on GenAI / Agentic AIWhy Join Us•Work on cutting-edge Agentic AI & GenAI platforms•Opportunity to build autonomous, production-grade AI systems•High-impact enterprise projects•Collaborative and innovation-driven environment