Overview

The JD for AI/Ml programmer is given below:

Responsibilities

• Design, develop, and deploy Generative AI models using state-of-the-art architectures (e.g., Transformers, Diffusion models).
• Build and fine-tune LLM-powered agents capable of multi-step reasoning, task planning, and tool use.
• Work with frameworks like LangChain, AutoGPT, BabyAGI, CrewAI , or similar agent orchestration tools.
• Integrate models with REST APIs, vector databases (e.g., Pinecone, FAISS, Chroma), and external systems.
• Optimize inference pipelines for performance, latency, and scalability.
• Collaborate with product managers and data scientists to prototype and productionize AI features.
• Stay updated on recent advancements in Generative AI and autonomous agents.

Qualifications

• 34 years of hands-on experience in Machine Learning / Deep Learning , with at least 1–2 years in Generative AI and/or AI Agents .
• Proficiency in Python and ML libraries such as PyTorch , TensorFlow , Transformers (Hugging Face) .
• Experience with LLM APIs (OpenAI, Claude, Mistral, etc.) and building LLM-based applications.
• Solid understanding of prompt engineering , fine-tuning , RAG (Retrieval-Augmented Generation) , and multi-modal learning .
• Familiarity with agent orchestration frameworks and LLM tool chaining .
• Strong problem-solving and communication skills.
• Experience with cloud platforms (AWS, GCP, Azure) and MLOps tools (MLflow, Weights & Biases).
• Knowledge of Reinforcement Learning or Meta-learning for agent training.
• Experience contributing to open-source projects or published papers in the field of AI.

Education

• UG: B.Tech/B.E. in Any Specialization
• PG: Any Postgraduate