AI/ML Engineer (LLM & AI Agents)
- Noida, India
Posted 3 days ago
About the role
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.