Walk-in || Ai Ml Engineer

Role & responsibilities

• Design, develop, and deploy AI/ML, Generative AI, and Agentic AI solutions.
• Build applications using Large Language Models (LLMs) and Natural Language Processing (NLP).
• Design and develop multi-agent AI applications.
• Work on the complete AI solution lifecycle including requirements design development production deployment.
• Develop AI/ML solutions using Python, Jupyter Notebook, TensorFlow, scikit-learn, and Keras.
• Build LLM-powered applications using LangChain and prompt engineering techniques.
• Develop and integrate APIs using Flask and FastAPI.
• Implement machine learning techniques appropriate to business and technical requirements.
• Develop multi-agent solutions on at least one hyperscaler/cloud stack.

Preferred candidate profile

Educational Background
Candidate should have a relevant technical/engineering educational background, such as B.Tech, M.Tech, or an equivalent technical qualification relevant to the role.

2. Mandatory Agentic AI Project Experience
Candidate must have completed at least one full-scale Agentic AI project, with hands-on involvement across:

Requirements Solution Design Development Production Deployment

POC-only exposure should not be treated as equivalent to the requested full production lifecycle experience.

3. Multi-Agent Application Experience
Candidate must have hands-on experience developing multi-agent applications using at least one hyperscaler/cloud technology stack.

4. Experience
Minimum 6 years and maximum 10 years of relevant IT experience, with strong hands-on AI/ML development expertise.