GenAI Engineer

BAY Area Technology Solutions; Pune District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

BAY Area Technology Solutions is looking for a GenAI Engineer to code, build, and deploy production-ready AI solutions. The ideal candidate should have 5-10 years of experience, with 4+ years focused on NLP/LLMs and strong hands-on Python coding skills.

The successful applicant will integrate OpenAI and open-source LLMs into scalable cloud-based solutions. Key responsibilities include designing LLM-powered applications, developing reusable components, and deploying solutions primarily on Azure.

Qualifications

• 5-10 years total experience, with 4+ years in NLP/LLMs.
• Strong Python coding skills (must be hands-on).
• Ability to design reusable, production-grade AI components.
• Practical experience with both proprietary (OpenAI) and open-source LLMs.

Responsibilities

• Design, build, and deploy LLM-powered applications and agents for automation.
• Develop reusable agentic components aligned with our tech stack.
• Deploy scalable solutions on cloud platforms (Azure preferred).

Skills

Python coding skills

NLP/LLMs experience

LangChain

LlamaIndex

Problem-solving skills

Java FSE

AngularJS

React JS

AWS

Tools

Azure

OpenAI APIs

Job description

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
• Java FSE with AngularJS, React JS and any AWS (EC2, S3, Cloud Watch)