Experience: 3–5 Years
Location: Chennai/On-site
Job Type: Full-Time
About the Role:
We are looking for a highly motivated AI/ML Engineer with 3–5 years of experience to join our growing
team. This role focuses on building and optimizing solutions using Generative AI . You’ll work at the
intersection of AI research and real-world application development, helping us deliver next-generation
intelligent systems for enterprise use cases.

Responsibilities:

• Design, build ML models with a focus on LLMs and Generative AI.
• Conduct research that contributes to the state-of-the-art in LLM architectures.
• Expertise in full and parameter-efficient fine-tuning (LoRA, QLoRA, Adapter, Prefix Tuning),
  instruction tuning, RLHF, and multi-task learning.
• Proficient in model compression (AWQ, GPTQ, GPTQ-for-LLaMA) and optimized inference
  engines (vLLM, DeepSpeed, FP6-LLM).
• Develop and maintain scalable APIs to serve model outputs in production environments.
• Collaborate with cross-functional teams (product, data and engineering) to identify AI
  opportunities and deliver solutions.
• Implement Retrieval-Augmented Generation (RAG) pipelines and integrate vector databases
  (e.g., FAISS, Pinecone).
• Database Knowledge: Experience with PostgreSQL.
• Research and apply the latest techniques in prompt engineering, model compression, and
  optimization.
• Monitor, evaluate, and continuously improve model performance and reliability.
  Required Skills & Experience:
• Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related field.
• 3–5 years of hands-on experience in AI/ML development and Expertise in Agentic approach
• Strong programming skills in Python and experience with ML frameworks such as Proficiency in
  TensorFlow, PyTorch, Keras
• Experience in distributed training, NVIDIA AI platforms, and cloud/on-premise
  infrastructure.
• Familiarity with integrating MCP-based architectures into broader system workflows, ensuring
  semantic consistency and interoperability.
• Experience with performance tuning, caching strategies, and cost optimization, particularly in
  the context of production-grade LLM deployments.
• Experience with LLMs, including fine-tuning, prompt engineering, and using frameworks like
  Hugging Face Transformers.
• Familiarity with GenAI techniques and tools such as LangChain, LangGraph, LLMOps, LoRA, and
  PEFT.
• Experience deploying models using FastAPI, Flask, Docker, or on cloud platforms
  (AWS/GCP/Azure).
• Understanding of NLP concepts, deep learning architectures, and transformer models.
  Preferred Qualifications:
• B Tech or MTech in AI -Data Science – Gen AI -Computer Science, Data Science with Real
  Gen AI Project/Product Development Experience/Fine Tuned LLM Experience is added
  advantage
• Knowledge of AI guardrails, compliance frameworks (e.g., Microsoft AI Guidance), and
  responsible AI practices.
• Previous work on chatbots, copilots, or AI assistants.
• Publications, contributions to open-source projects, or participation in AI competitions.