GenAI / LLM Engineer | RAG | Agentic AI | Python | Multi-Agent Systems
Experience
6 – 12 Years
Location
Pune (Hybrid)
Notice Period
(Immediate Joiners or March notice serving candidates)
Job Summary
We are looking for a skilled Generative AI Engineer with hands-on experience in LLMs, RAG pipelines, and Agentic AI systems. The ideal candidate will design and build intelligent, scalable AI solutions using modern frameworks and multi-agent architectures.
Key Skills Required
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Generative AI / GenAI
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Large Language Models (LLMs)
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RAG (Retrieval-Augmented Generation)
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Python Programming
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Agentic AI / AI Agents
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Multi-Agent Systems
Tools & Frameworks
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LangChain / LlamaIndex
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Vector Databases: Pinecone, Weaviate, FAISS
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LLM APIs: OpenAI, Anthropic
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Hugging Face Transformers
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Prompt Engineering & Fine-tuning techniques
Key Responsibilities
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Design and implement LLM-powered applications using GenAI frameworks
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Build and optimize RAG pipelines for enterprise use cases
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Develop Agentic AI systems and multi-agent workflows
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Integrate LLMs with external data sources and APIs
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Develop scalable backend services using Python
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Work with vector databases and semantic search systems
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Perform prompt engineering, evaluation, and tuning of AI models
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Collaborate with cross-functional teams to deliver AI-driven solutions
Preferred Experience
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Experience in building AI Agents / Autonomous Systems
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Strong understanding of NLP and Machine Learning concepts
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Hands-on with real-time AI applications / chatbots / copilots
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Exposure to cloud platforms (Azure / AWS / GCP)
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Knowledge of MLOps / LLMOps practices
Soft Skills
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Strong problem-solving and analytical thinking
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Excellent communication skills
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Ability to work in a fast-paced, innovation-driven setting
Additional Info
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Opportunity to work on cutting-edge GenAI projects
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Exposure to enterprise-scale AI transformations
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Collaborative and innovation-focused
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