Generative AI Engineer LLM Applications

Location: Agra

Experience: 3–6 Years

About The Role

We are looking for a Generative AI Engineer who is passionate about building real-world AI applications using Large Language Models (LLMs).

In this role, you will design and develop AI-powered products that automate internal workflows and create intelligent tools for students, teachers, and internal teams.

You will work closely with product, engineering, and marketing teams to integrate AI into various platforms and deliver scalable solutions.

Key Responsibilities

Develop AI applications using Large Language Models (OpenAI, Claude, Gemini, etc.)

Design and implement RAG (Retrieval-Augmented Generation) pipelines to enable AI systems to answer questions from company content

Build AI assistants and copilots for students, teachers, and internal teams

Integrate AI solutions with internal systems such as CRM, websites, and analytics tools

Develop and optimize prompt pipelines and evaluation frameworks

Deploy AI applications using scalable APIs and microservices

Collaborate with cross-functional teams to identify and implement AI-driven product opportunities

Continuously improve AI models and workflows for performance and accuracy

Required Skills

Strong proficiency in Python

Experience with LangChain or LlamaIndex

Hands-on experience with Vector Databases such as Pinecone, Weaviate, or FAISS

Experience working with OpenAI / Claude / Gemini APIs

Strong knowledge of Prompt Engineering

Experience in API development (FastAPI or Flask)

Basic experience with Cloud Deployment (AWS / GCP)

Educational & Professional Qualification

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Information Technology, or a related field

Candidates from IITs, NITs, IIITs, or reputed universities will be preferred

Relevant certifications in AI/ML, Generative AI, or Data Science will be an added advantage

3–6 years of experience in AI/ML development, NLP, or Generative AI applications

Hands-on experience working with Large Language Models (LLMs)

Proven experience in building AI-powered applications or automation solutions

Experience integrating AI models with APIs, databases, and web applications

Good to Have

Experience designing and deploying RAG systems

Experience building AI chatbots or AI copilots

Exposure to EdTech, education platforms, or content-driven products