AI/ML Engineer

AI/ML Engineer (LLMs & Generative AI)

Location: Kolkata, Delhi (Onsite)

Experience: 2–6 Years

Employment Type: Full-Time

About the Role

We are looking for a highly motivated AI/ML Engineer with hands-on experience in Generative AI, Large Language Models (LLMs), and Machine Learning. The ideal candidate should possess strong software engineering skills and practical experience in developing, deploying, and optimizing AI-powered applications using modern ML frameworks and GenAI technologies.

Key Responsibilities

• Design, develop, and deploy AI/ML solutions using Python.
• Build and optimize applications leveraging Large Language Models (LLMs).
• Develop and fine-tune prompts for different AI use cases through effective prompt engineering.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines.
• Develop and integrate AI agents for intelligent automation and workflow orchestration.
• Work with vector databases for semantic search and knowledge retrieval.
• Evaluate model performance using appropriate metrics and implement continuous improvements.
• Build scalable, production-ready AI applications following MLOps best practices.
• Collaborate with cross-functional teams to understand business requirements and translate them into AI solutions.
• Write clean, maintainable, and well-documented code following software engineering best practices.
• Stay updated with the latest advancements in AI, machine learning, and Generative AI technologies.

Required Skills & Qualifications

• 2–6 years of experience in AI/ML or related software development roles.
• Strong programming skills in Python.
• Hands-on experience with machine learning frameworks such as PyTorch and/or TensorFlow.
• Practical experience working with Large Language Models (LLMs).
• Strong understanding of Prompt Engineering techniques.
• Experience in building Retrieval-Augmented Generation (RAG) applications.
• Experience developing AI Agents using modern AI frameworks.
• Hands-on experience with Vector Databases (such as Pinecone, Chroma, FAISS, Weaviate, or Milvus).
• Knowledge of Model Evaluation methodologies and performance optimization.
• Good understanding of MLOps fundamentals, including model deployment, monitoring, and lifecycle management.
• Strong analytical, debugging, and problem-solving skills.
• Good understanding of software engineering principles, data structures, algorithms, and API development.
• Excellent communication and collaboration skills.

Preferred Qualifications

• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Exposure to Docker, Kubernetes, and CI/CD pipelines.
• Familiarity with LangChain, LlamaIndex, CrewAI, AutoGen, or similar AI orchestration frameworks.
• Experience with REST APIs, FastAPI, or Flask.
• Knowledge of Git version control and Agile development methodologies.

What We Offer

• Opportunity to work on cutting-edge AI and Generative AI projects.
• Exposure to modern AI tools, frameworks, and technologies.
• Collaborative and innovation-driven work environment.
• Career growth opportunities and continuous learning.
• Competitive compensation and benefits.