ApplySarthiAES-AI Engineer
Zensar
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This role on the market
13 open aes roles across 2 companies are on ApplySarthi right now, most of them in Pune (5), Hyderabad (1), Bengaluru (1).
What aes roles keep asking for: Azure (38%), REST APIs (38%), Agile (31%), CI/CD (31%), React (31%), TypeScript (31%), Generative AI (23%), Java (23%) — counted across their open postings here.
Generative AI jobs · LLMs jobs · RAG jobs
Zensar has 278 open roles listed here.
- Quality Assurance Analyst - Advanced
- Guidewire Technical Architect
- Agentic AI Engineerpune
- Guidewire ClaimCenter Developer
- Monitoring-Operations Support-Infrastructure Monitoring
Counted across 14 company job boards, updated as roles open and close.
Preparing for this interview
Interviews for aes roles keep coming back to Azure, REST APIs, Agile, CI/CD. Practise those questions before you sit with Zensar.
Questions you are likely to be asked
- Why do you want to join Zensar?
- What is your experience with Generative AI? Tell me one thing you learned the hard way.
- Walk me through a model you built, from the data to how it was used.
- How did you know your model was actually good, and not just good on your test set?
- Tell me about a time the data was messy or wrong. What did you do?
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Practise the AES-AI Engineer at Zensar interview free →Job Description -AI Engineer Experience: 2–7 Years About the Role We are looking for a Generative OR Agentic AI Engineer with hands-on experience in building AI-powered applications using LLMs, Agentic AI frameworks, and modern cloud platforms. The ideal candidate should be able to independently prototype, develop, and demonstrate innovative AI solutions while effectively communicating with both technical and business stakeholders. Key Responsibilities Generative AI & Agentic AI Build end-to-end GenAI applications using OpenAI, Claude, Gemini, Mistral, Llama , etc. Develop AI agents and multi-agent systems using LangGraph, AutoGen, CrewAI, LlamaIndex , or similar frameworks. Design and implement RAG-based applications with vector databases and embedding models. Rapidly create and showcase AI PoCs and production-ready solutions. AI Innovation & Experimentation Fine-tune LLMs/SLMs for domain-specific use cases. Create synthetic datasets for training and evaluation. Evaluate AI agents for performance, reliability, accuracy, and latency. Explore emerging standards such as MCP (Model Context Protocol) and A2A (Agent-to-Agent) communication. Collaboration & Communication Translate business requirements into AI-powered solutions. Present AI concepts, demos, and outcomes to technical and non-technical audiences. Collaborate with cross-functional teams to drive AI innovation initiatives. Qualifications Bachelor's/Master's degree in Computer Science, AI/ML, or related field. 2–7 years of experience in Software Development, AI/ML, or GenAI Engineering. Proven ability to independently drive AI experiments from ideation to working demos and production-ready solutions.
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Listed on oraclehcm · posted 2026-11-11. ApplySarthi collects openings and links to application pages; the role is advertised by Zensar, not by us.