Gen AI+Python Engineer (Meghna POC)

Job highlights

• Deploy scalable solutions on cloud platforms ( Azure preferred ) and manage the lifecycle with MLOps best practices
• While sharing profile relevant exp should be mention like this
• Strong Python coding skills (must be hands-on)
• Experience deploying solutions on Azure (preferred) or other major cloud platforms
• Experience: 5 10 years

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.