About Habilelabs:
At HabileLabs Pvt. Ltd., headquartered in Jaipur, we are a premier software product development and IT service provider, dedicated to helping businesses thrive in the digital era. Since 2016, we have been at the forefront of delivering innovative software and IT solutions that transform digital presence, automate processes, and enhance operational efficiency. Our expertise lies in developing engaging web and mobile applications, while leveraging cutting-edge technologies such as AI and cloud computing to provide exceptional value to our clients.
With a team of over 200 talented professionals, we are passionate about delivering excellence in every project. Our solutions are designed to not only meet but exceed client expectations, ensuring seamless operations and empowering businesses with a competitive edge. Our global presence, including offices in Canada, the USA, Gurugram, and Mumbai, enables us to serve more than 160 clients across the globe, with a remarkable 95% client retention rate.
Job Description: AI Engineer
Position Title: AI Engineer
Experience Level: 3–5 years
Employment Type: Full-time
Department: Engineering
Required Qualifications
Technical Expertise
3–6 years of professional experience in AI/ML engineering, with focus on LLM-based applications or agentic systems
Deep proficiency in Python and hands-on experience with AI/ML frameworks (LangChain, Hugging Face, PyTorch, TensorFlow)
Proven experience building or optimizing Retrieval-Augmented Generation (RAG) systems
Hands-on experience with LLM architectures and working with models of 7B+ parameters
Practical knowledge of small language models (SLMs) and model quantization/optimization techniques
Familiarity with MCP servers or similar integration protocols for LLM tools
Proficiency with version control (Git) and CI/CD pipelines
Knowledge of containerization (Docker) and cloud platforms (AWS, Azure, or GCP)
Understanding of database systems (relational and vector databases)
Solid understanding of ML lifecycle: model training, evaluation, validation, and deployment
Experience with prompt engineering, in-context learning, and few-shot learning techniques
Understanding of evaluation metrics and benchmarking frameworks for LLM systems
Preferred Qualifications
Experience with open-source LLM frameworks and models (LLaMA, Mistral, Phi, etc.)
Hands-on experience with vector databases and semantic search optimization
Background in building production-grade agentic systems at scale
Familiarity with prompt frameworks, chain-of-thought techniques, and structured outputs
Experience with model serving platforms (vLLM, Ray Serve, TorchServe)
Knowledge of AI safety, model alignment, and responsible AI practices
Contributions to open-source AI/ML projects
Experience with multi-modal models or advanced retrieval techniques
Familiarity with organizational process automation and enterprise AI deployment
Experience designing and implementing multi-agent systems or agentic AI frameworks
