JD – AI Engineer (Generative AI / LLM)

Location: Chennai | Experience: 0 – 2 Years | Employment Type: Full-Time

About the Role

We are looking for a passionate and innovative AI Engineer to innovate design, develop AI-powered applications using Large Language Models (LLMs), Agentic AI, and modern Generative AI frameworks. The ideal candidate should have strong programming skills with solid AI/ML fundamentals, and hands-on experience building AI solutions to solve real-world business problems.

Key Responsibilities

- Develop AI-powered applications using Python and modern AI frameworks.
- Build and integrate LLM-based solutions using OpenAI, Llama, and similar foundation models.
- Develop and implement RAG applications using Vector Databases, Embeddings, and Grounding techniques.
- Work with LangChain, LangGraph, and Agentic AI frameworks to build intelligent AI workflows.
- Design and optimize prompts for various Generative AI use cases.
- Collaborate with engineering teams to build AI solutions for real-world business problems.
- Participate in AI model evaluation, testing, debugging, and performance optimization.
- Stay updated with the latest advancements in Generative AI, LLMs, Agentic AI, and related technologies.
- Contribute to AI projects and maintain technical documentation.

Required Skills

- 0–2 years of experience in AI/ML or Generative AI development.
- Bachelor’s degree in computer science, Artificial Intelligence, Information Technology, or related Engineering disciplines (Preferred).
- Strong programming skills in Python.
- Hands-on experience with Python frameworks such as FastAPI, Flask, or similar.
- Strong understanding of Artificial Intelligence, Machine Learning, and Deep Learning fundamentals.
- Good understanding of Generative AI concepts and LLM architectures.




- Hands-on experience with OpenAI, Llama, or similar foundation models.
- Strong knowledge of:

o LangChain, LangGraph, Prompt Engineering, Embeddings, Vectorization, Vector Databases, Grounding AI Solutions, Retrieval-Augmented Generation (RAG)
- Good understanding or exposure to Agentic AI concepts and AI Agent development.
- Strong analytical, logical, and problem-solving skills.
- Good communication and collaboration skills.

Preferred Skills

- Experience with Computer Vision.
- Exposure to Hugging Face, Transformers, or similar AI frameworks.
- Experience with Vector Databases such as Pinecone, ChromaDB, FAISS, Qdrant, or Milvus.
- Exposure to cloud platforms such as Azure, AWS, or GCP.
- Knowledge of REST APIs, Git, Docker, and CI/CD.

Educational Qualification

- B.E./B.Tech in Computer Science, Artificial Intelligence, Information Technology, or related Engineering disciplines.
- Candidates with strong academic performance and hands-on AI projects will be preferred.

Mandatory Project Experience

Candidates must have worked on at least 2–3 hands-on AI/GenAI projects demonstrating practical experience with one or more of the following:
- LLM-based Applications
- RAG-based Solutions
- AI Chatbots / AI Assistants
- Agentic AI Workflows
- Prompt Engineering
- LangChain / LangGraph
- OpenAI / Llama Integrations
- Vector Database Implementations
- AI solutions solving real-world business problems

What We're Looking For

- Strong passion for Artificial Intelligence and emerging technologies.
- Excellent engineering mindset with a focus on solving real-world problems.
- Ability to quickly learn and adopt new AI frameworks and technologies.
- Strong ownership, innovation, and problem-solving capabilities.
- Ability to work effectively in a fast-paced product engineering workplace.

📌 Artificial Intelligence Engineer (Chennai)
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