Gen AI+Python Engineer (Meghna POC)

5 - 10 years

7 - 12 Lacs

Posted:1 month ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Exp 5+ yrs

Skills LLM OR NLP AND Python AND Gen AI

Budget 25 LPA

While sharing profile relevant exp should be mention like this

Relevant Exp

Gen AI - 2.5 yrs, python - 6yrs, NLP - 3yrs, LLM - 2.5 yrs

Position Name: GenAI Engineer

Number of Positions: 3

Location: Pune (Hybrid currently 2 days WFO, future 3 days)

Level: Senior Software Engineer

Experience: 5 10 years

About the Role

We are hiring a GenAI Engineer who can code, build, and deploy production-ready AI solutions. The ideal candidate is hands-on with Python, LLM frameworks (LangChain, LlamaIndex), and has experience in creating reusable agentic components. You ll work on integrating both OpenAI and open-source LLMs into scalable, cloud-based solutions that deliver real business value.

Key Responsibilities


  • Design, build, and deploy LLM-powered applications and agents for automation and workflow optimization.

  • Develop reusable agentic components aligned with our tech stack.

  • Work hands-on with Python, LangChain, and LlamaIndex.

  • Leverage OpenAI APIs and open-source LLMs (e.g., GPT, LLaMA, Gemini, etc.).

  • Prepare and process structured/unstructured datasets for fine-tuning or training models.

  • Deploy scalable solutions on cloud platforms (Azure preferred) and manage the lifecycle with MLOps best practices.

  • Stay up to date with the latest GenAI/LLM advancements and apply them to real-world problems.


Qualifications & Skills


  • 5 10 years total experience, with 4+ years in NLP/LLMs.

  • Strong Python coding skills (must be hands-on).

  • Proven experience with LangChain, LlamaIndex, and other agentic frameworks.

  • Ability to design reusable, production-grade AI components.

  • Practical experience with both proprietary (OpenAI) and open-source LLMs.

  • Experience deploying solutions on Azure (preferred) or other major cloud platforms.

  • Strong problem-solving skills with a focus on building, not theory.

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