Ai ML Engineer

Experience: 2+ Years

Location: Bangalore (Work from Office)

Employment Type: Full-Time

We are looking for a passionate AI/ML Engineer with 2+ years of experience in building and deploying AI-powered applications using Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. The ideal candidate should have strong Python programming skills and hands-on experience developing intelligent AI solutions for real-world use cases.

• Design, develop, and deploy AI applications using Large Language Models (LLMs).
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines.
• Develop AI agents using modern Agentic AI frameworks.
• Integrate LLMs with external APIs, databases, vector databases, and enterprise applications.
• Fine-tune prompts and optimize LLM performance for production use cases.
• Develop scalable backend services using Python.
• Work with vector databases for semantic search and knowledge retrieval.
• Evaluate, monitor, and improve AI model performance.
• Collaborate with cross-functional teams to design AI-driven solutions.
• Stay updated with the latest advancements in Generative AI and machine learning.

• 2+ years of experience in AI/ML development.
• Strong programming skills in Python.
• Hands-on experience with Generative AI applications.
• Experience working with Large Language Models (LLMs).
• Strong understanding of Retrieval-Augmented Generation (RAG) architecture.
• Experience building Agentic AI workflows and autonomous AI agents.
• Knowledge of prompt engineering and LLM optimization.
• Experience with AI orchestration frameworks such as LangChain, LlamaIndex, LangGraph, or CrewAI.
• Experience with vector databases such as Pinecone, Milvus, ChromaDB, FAISS, or Weaviate.
• Familiarity with REST APIs and model integration.
• Understanding of machine learning fundamentals and model evaluation.
• Experience with Git and collaborative development workflows.

• Experience with cloud platforms (AWS, Azure, or GCP).
• Knowledge of Docker and Kubernetes.
• Experience with FastAPI or Flask.
• Familiarity with Hugging Face Transformers.
• Experience with model deployment and MLOps.
• Exposure to fine-tuning open-source LLMs.

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Strong analytical and problem-solving skills.
• Excellent communication and teamwork abilities.