Generative AI Engineer

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 Enginee

rPosition Title: AI Enginee

rExperience Level: 4-6 year

sEmployment Type: Full-tim

eDepartment: Engineerin

g

Required Qualificati

onsTechnical Expert

• ise4–6 years of professional experience in AI/ML engineering, with focus on LLM-based applications or agentic syst
• emsDeep proficiency in Python and hands-on experience with AI/ML frameworks (LangChain, Hugging Face, PyTorch, TensorFl
• ow)Proven experience building or optimizing Retrieval-Augmented Generation (RAG) syst
• emsHands-on experience with LLM architectures and working with models of 7B+ paramet
• ersPractical knowledge of small language models (SLMs) and model quantization/optimization techniq
• uesFamiliarity with MCP servers or similar integration protocols for LLM to
• olsProficiency with version control (Git) and CI/CD pipeli
• nesKnowledge of containerization (Docker) and cloud platforms (AWS, Azure, or G
• CP)Understanding of database systems (relational and vector databas
• es)Solid understanding of ML lifecycle: model training, evaluation, validation, and deploym
• entExperience with prompt engineering, in-context learning, and few-shot learning techniq
• uesUnderstanding of evaluation metrics and benchmarking frameworks for LLM syst

emsPreferred Qualificati

• onsExperience with open-source LLM frameworks and models (LLaMA, Mistral, Phi, et
• c.)Hands-on experience with vector databases and semantic search optimizat
• ionBackground in building production-grade agentic systems at sc
• aleFamiliarity with prompt frameworks, chain-of-thought techniques, and structured outp
• utsExperience with model serving platforms (vLLM, Ray Serve, TorchSer
• ve)Knowledge of AI safety, model alignment, and responsible AI practi
• cesContributions to open-source AI/ML proje
• ctsExperience with multi-modal models or advanced retrieval techniq
• uesFamiliarity with organizational process automation and enterprise AI deploym
• entExperience designing and implementing multi-agent systems or agentic AI framewo