Role Overview

HabileLabs Pvt. Ltd. is seeking an experienced AI Engineer to join our Engineering department. This full-time position requires 3–5 years of professional experience focusing on developing and deploying cutting-edge AI/ML solutions, particularly those involving Large Language Models (LLMs) and agentic systems.

Responsibilities

Design, develop, and deploy AI/ML solutions with a strong focus on LLM-based applications and agentic systems.
Utilize deep proficiency in Python and hands-on experience with AI/ML frameworks such as LangChain, Hugging Face, PyTorch, and TensorFlow.
Build, optimize, and manage Retrieval-Augmented Generation (RAG) systems.
Work hands-on with LLM architectures, including models of 7B+ parameters, and apply knowledge of small language models (SLMs), model quantization, and optimization.
Integrate LLM tools using protocols like MCP servers.
Manage code using Git and implement solutions via CI/CD pipelines.
Deploy solutions utilizing Docker and cloud platforms such as AWS, Azure, or GCP.
Apply knowledge of prompt engineering, in-context learning, and few-shot learning techniques.
Manage and understand both relational and vector databases.
Oversee the full ML lifecycle: model training, evaluation, validation, and deployment, using appropriate evaluation metrics and benchmarking frameworks.

Requirements

3–6 years of professional experience in AI/ML engineering, specializing in LLM-based applications or agentic systems.
Deep proficiency in Python.
Hands-on experience with LangChain, Hugging Face, PyTorch, and TensorFlow.
Proven experience building or optimizing RAG systems.
Practical knowledge of SLMs and model quantization/optimization.
Familiarity with MCP servers or similar integration protocols.
Proficiency with Git and CI/CD pipelines.
Knowledge of Docker and cloud platforms (AWS, Azure, or GCP).
Understanding of relational and vector databases.
Solid understanding of the ML lifecycle and experience with prompt engineering techniques.