AI/ML Engineer (LLM & AI Agents)

Kaaliber; Dadri; On-site; INR 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Cutting-edge AI projects

Career growth opportunities

Learning culture

Job summary

Kaaliber is building next-generation AI-powered SaaS platforms that leverage LLMs, intelligent AI agents, workflow automation, and ML to solve real-world business challenges. We are looking for an AI/ML Engineer who is passionate about building production-ready AI systems and enjoys working with modern AI technologies.

Design, deploy AI agents, build pipelines with LangChain and vector databases, develop APIs with FastAPI, and collaborate with product and engineering teams to deliver AI-first

Qualifications

• Bachelor's or Master's in Computer Science / AI / Data Science or related field.
• 2–5 years of AI/ML engineering experience is expected.
• Strong fundamentals in ML and model evaluation.

Responsibilities

• Design, develop, and deploy AI agents for real-world business use cases.
• Build and optimize applications using LLMs (OpenAI, Claude, Gemini, etc.).
• Develop intelligent AI workflows with LangChain, LangGraph, CrewAI, AutoGen, or similar.
• Design and implement Retrieval-Augmented Generation pipelines with vector databases.
• Engineer, evaluate, and optimize prompts for accuracy, performance, and cost.
• Train, fine-tune, and evaluate ML models for classification, prediction, and automation.
• Develop APIs and AI microservices using Python and FastAPI.
• Integrate AI solutions into SaaS products and enterprise apps.
• Work with structured and unstructured data to build automation pipelines.
• Evaluate new AI models and frameworks to improve platform capabilities.

Job description

Location: Sector-18, Noida (Work from Office)

Employment Type: Full-time

Experience: 2–5 Years

Kaaliber is building next-generation AI-powered SaaS platforms that leverage Large Language Models (LLMs), intelligent AI agents, workflow automation, and machine learning to solve real-world business challenges. We are looking for an AI/ML Engineer who is passionate about building production-ready AI systems and enjoys working with modern AI technologies.

• Design, develop, and deploy AI agents for real-world business use cases.
• Build and optimize applications using Large Language Models (OpenAI, Claude, Gemini, Llama, Mistral, etc.).
• Develop intelligent AI workflows using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines using vector databases.
• Engineer, evaluate, and optimize prompts for accuracy, performance, and cost.
• Train, fine-tune, and evaluate Machine Learning models for classification, prediction, recommendation, and automation tasks.
• Develop APIs and AI microservices using Python and FastAPI.
• Integrate AI solutions into SaaS products and enterprise applications.
• Work with structured and unstructured datasets to build intelligent automation pipelines.
• Evaluate new AI models, frameworks, and research to continuously improve platform capabilities.
• Collaborate closely with product, engineering, and design teams to build AI-first products.

Required Skills

• 2–5 years of experience in AI/ML Engineering.
• Solid understanding of Machine Learning fundamentals and model evaluation.
• Hands-on experience with Large Language Models (LLMs).
• Experience with prompt engineering and AI agent development.
• Knowledge of LangChain, LangGraph, CrewAI, AutoGen, or similar AI orchestration frameworks.
• Experience implementing RAG using vector databases such as Pinecone, ChromaDB, Weaviate, Milvus, or FAISS.
• Experience with FastAPI and REST API development.
• Familiarity with SQL and NoSQL databases.
• Strong understanding of Git and software development best practices.

Preferred Skills

• Experience with Hugging Face Transformers.
• Knowledge of PyTorch and/or TensorFlow.
• Experience with model fine-tuning, embeddings, and inference optimization.
• Exposure to MCP (Model Context Protocol) and AI tool integration.
• Experience with Docker, Kubernetes, and cloud platforms (AWS, Azure, or GCP).
• Understanding of MLOps, model deployment, monitoring, and versioning.
• Experience building multi-agent AI systems is highly preferred.

Qualifications

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
• Equivalent practical experience with strong AI project portfolios is also encouraged.

What We Offer

• Work on cutting-edge AI products using the latest LLM technologies.
• Opportunity to build production-grade AI agents and intelligent automation platforms.
• Exposure to modern AI frameworks and enterprise-scale AI architectures.
• Continuous learning, experimentation, and career growth opportunities.