AI/ML Engineer (LLMs & Generative AI)

Location: Kolkata (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 solid 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.

📌 AI/ML Engineer (LLMs & Generative AI) (Kolkata)
🏢 TuTeck Technologies
📍 Kolkata