Develop agentic AI, generative AI, and LLM solutions, including AI agents and multi-agent systems. Use Python, LangChain-family frameworks, NLP libraries, APIs, containers, Kubernetes, cloud platforms, databases, and MLOps practices. Responsibilities include prompt engineering, model fine-tuning, performance optimization, and building scalable AI applications with FastAPI or Flask.
? We're Hiring | AI Engineer (Agentic AI | GenAI | LLM)
RequirementsRequired Skills
? Location: PAN India (As per Business Requirement)
? Employment Type: Full-Time
? Openings: 2
Compensation? Senior Consultant (5–8 Years): Up to ₹18 LPA
RequirementsRequired Skills
✔ Strong hands-on experience in Agentic AI, GenAI, and LLMs.
✔ Experience with LangChain, LangGraph, Semantic Kernel, or AutoGen.
✔ Strong Python programming skills with FastAPI and Flask.
✔ Experience with NLP frameworks such as BERT, SpaCy, NLTK, Word2Vec, or GloVe.
✔ Hands-on experience developing AI Agents and multi-agent systems.
✔ Experience with Docker, Kubernetes, and cloud platforms (Azure, AWS, or GCP).
✔ Experience with SQL, NoSQL, and Vector Databases.
✔ Strong understanding of MLOps, prompt engineering, model fine-tuning, and performance optimization.
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What you need to know about the Pune Tech Scene
Once a far-out concept, AI is now a tangible force reshaping industries and economies worldwide. While its adoption will automate some roles, AI has created more jobs than it has displaced, with an expected 97 million new roles to be created in the coming years. This is especially true in cities like Pune, which is emerging as a hub for companies eager to leverage this technology to develop solutions that simplify and improve lives in sectors such as education, healthcare, finance, e-commerce and more.
