AI/ML Engineer (LLM & AI Agents)

Job Description – AI/ML Engineer (LLM & AI Agents)

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

Employment Type: Full-time

Experience: 2–5 Years

About Kaaliber

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.

Roles & Responsibilities

● 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.

● Strong programming skills in Python.

● 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.

● Collaborative, innovation-driven engineering culture.

● Continuous learning, experimentation, and career growth opportunities.