•  Build AI data products like chatbots and process automation using LLMs.
•  Work across business domains with cross-functional teams.
•  Focus on product development, not limited to any single area.

Key Responsibilities

• Develop and deploy AI chatbots, virtual assistants, and automation workflows.
• Implement solutions using LLMs, Lang Chain, and agentic AI frameworks.
•  Design and optimize prompts for generative AI applications.
• Collaborate with product managers, analysts, and engineers.
• Build reusable components and APIs for AI integration.
• Stay updated on AI advancements and best practices.
• Contribute to scalable architecture and agile development cycles.

Technical Skills

•  Strong in Python and LLM-based development.
• Experience with Lang Chain, prompt engineering, and agentic AI.
•  Familiarity with Microsoft ecosystem is a must.
•  Familiarity with React.js /streamlit (preferred).
• Knowledge of OpenAI, Hugging Face, and Vector DB’s.
•  Understanding of ML Ops, cloud platforms, and containerization.

Preferred Experience

• 4–6 years in AI engineering or related roles.
•  Proven experience building production-grade AI products.
• Exposure to SaaS or product-driven environments.
  • Ability to work across domains and global teams.