AES - DE - Generative AI Application Developers
Zensar
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1,318 open application roles across 208 companies are on ApplySarthi right now, most of them in Bengaluru (109), Hyderabad (66), Delhi NCR (50).
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What application roles keep asking for: Python (16%), Java (15%), Agile (12%) — counted across their open postings here.
Azure jobs · C# jobs · CI/CD jobs · Docker jobs
Zensar has 215 open roles listed here.
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Counted across 14 company job boards, updated as roles open and close.
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- Why do you want to join Zensar?
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- Tell me about a time the data was messy or wrong. What did you do?
- How would you explain your model's result to someone who is not technical?
- What would you check first if a model's accuracy dropped after going live?
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Practise the AES - DE - Generative AI Application Developers at Zensar interview free →As a Generative AI Developer, you will be responsible for developing, integrating, and optimizing Generative AI solutions that enhance business processes, automate workflows, and improve user experiences. You will collaborate with cross-functional teams, including product managers, data scientists, architects, and business stakeholders, to build innovative AI-driven applications using cutting-edge AI platforms and cloud technologies. The role involves developing AI-powered chatbots, copilots, intelligent assistants, document processing solutions, knowledge management systems, and workflow automation applications while ensuring security, reliability, and scalability. Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Data Science, or a related field. 3+ years of software development experience and 1+ years of hands-on experience with Generative AI technologies. Strong programming skills in Python, JavaScript, C#, or Java. Experience with Large Language Models (LLMs), prompt engineering, and AI application development. Hands-on experience with AI frameworks such as LangChain, Semantic Kernel, LlamaIndex, AutoGen, or LangGraph. Knowledge of REST APIs, Microservices, and cloud-native application development. Familiarity with vector databases such as Pinecone, Chroma, FAISS, Weaviate, or Azure AI Search. Experience with Azure OpenAI, OpenAI APIs, or similar AI platforms. Understanding of responsible AI, model governance, and AI security principles. Strong problem-solving, analytical, and communication skills. Preferred Qualifications Microsoft Azure AI Engineer Associate (AI-102) or equivalent AI certification. Experience with Azure AI Foundry, Azure Machine Learning, and Azure Cognitive Services. Knowledge of MLOps, CI/CD pipelines, and containerization technologies such as Docker and Kubernetes. Experience building multi-agent AI systems and enterprise copilots. Familiarity with DevOps practices and Agile development methodologies.
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Listed on oraclehcm · posted 2026-10-06. ApplySarthi collects openings and links to application pages; the role is advertised by Zensar, not by us.