ApplySarthi

Sr. Full-Stack AI Engineer

AI Planet

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This role on the market

1,094 open stack roles across 256 companies are on ApplySarthi right now, most of them in Bengaluru (67), Hyderabad (30), Pune (15).

What stack roles keep asking for: React (34%), Python (31%), TypeScript (30%), JavaScript (26%), AWS (24%), Java (23%), Docker (23%), CI/CD (22%) — counted across their open postings here.

Generative AI jobs · LLMs jobs · LangChain jobs · Microservices jobs

AI Planet has 3 open roles listed here.

Counted across 14 company job boards, updated as roles open and close.

Preparing for this interview

Interviews for stack roles keep coming back to React, Python, TypeScript, JavaScript. Practise those questions before you sit with AI Planet.

Questions you are likely to be asked

  1. Why do you want to join AI Planet?
  2. What is your experience with Generative AI? Tell me one thing you learned the hard way.
  3. What would you check first if a model's accuracy dropped after going live?
  4. When would you not use machine learning for a problem?
  5. Walk me through a model you built, from the data to how it was used.

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At AI Planet, our larger vision is to make AI accessible to everyone. With our flagship platform and solutions, we enable enterprises to adopt GenAI & Agentic solutions to automate complex workflows, save costs, reduce turn around times and boost overall enterprise efficiency. As we continue to make an impact, we are looking forward to welcoming our new colleagues, who can join the forces to make an impact to the next billion people or the next 10k+ organizations. **Key Responsibilities:** * Design, develop, and maintain scalable end-to-end agentic/GenAI/AI full-stack applications. * Develop robust backend services, APIs, and microservices. * Write clean, maintainable, and well-tested code following best practices. * Participate in system design discussions and architecture decisions. * Debug, troubleshoot, and optimize application performance. * Contribute across the complete software engineering and AI lifecycle, including: Requirement analysis, System design, Development, Testing, Deployment and Monitoring & maintenance * Build reliable GenAI or LLM-powered applications end to end. * Manage data ingestion and maintain database integrity * Building agents from scratch and understanding of Multi-Agent architecture is a must. * Keep abreast of the latest advancements in LLMs and Agentic AI. **Technical Acumen:** * Must have strong programming skills, particularly in Python. * Understanding of REST APIs and microservices architecture. * Strong foundations of backend knowledge (REST APIs, databases). * Knowledge of LLM frameworks such as Langchain, LlamaIndex, OpenAGI, CrewAI, and AutoGen. * Knowledge of Data Engineering Practices: Skills in data preprocessing, cleaning, transformation, etc. * Should be familiar with Agents, RAG (retrieval augmented generation), COT prompting techniques, etc * Strong analytical skills to troubleshoot and solve complex problems that arise in AI application development. * Understanding how AI features integrate into user-facing products.

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Listed on wellfound · posted 2026-09-10. ApplySarthi collects openings and links to application pages; the role is advertised by AI Planet, not by us.