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 creative 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 environment.

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