Product Engineer (AI/ML)

Location

Type

Experience

Team

AI, product, and education

• Build and deploy AI/ML-powered tools and features using

  LLMs, LangChain, RAG pipelines, and vector databases

• Rapidly prototype and ship

  minimum viable products (MVPs)

  within weeks
• Collaborate with product designers to create intuitive, impactful user experiences
• Work closely with platform teams to integrate AI into products like

  Certs365 and Proctoring365

• Debug and improve user flows with a

  fixer-first mindset

• Think in systems — map out how various parts of the product fit together for scale
• Contribute to a

  mission-first culture

  , solving real problems in skilling, certification, and lifelong learning

AI/ML Proficiency

Hands-on with LLMs, LangChain, Pinecone/FAISS, RAG, OpenAI APIs, etc.

Builder Mindset

You've shipped live products, tools, or demos—fast. (Think Replit, Product Hunt, or your own portfolio.)

Product Thinking

You care about UX, not just models. You've redesigned flows or debugged frustrating interfaces.

Fixer Mentality

You love squashing bugs and improving user experiences—even when no one asks.

Systems Thinking

You see how everything connects: APIs, DBs, frontend, backend, and users.

Mission-Driven Approach

You want to build meaningful AI solutions in education, skilling, or social impact—not just cool tech.

Communication Skills

You can clearly explain decisions in docs, demos, or during standups.

• Contributions to open-source AI tools
• Prior experience in edtech, skilling platforms, or learning ecosystems
• GitHub, Product Hunt, Kaggle, or public portfolios
• Hyderabad-based but open to hybrid flexibility

• Work with a

  mission-driven, 10X team

• Solve real-world problems with

  AI, at scale

• Build products used by thousands (soon millions) in the learning space
• Autonomy, velocity, and ownership from Day 1