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Agentic & Generative AI developer

Sutherland

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113 open generative roles across 46 companies are on ApplySarthi right now, most of them in Pune (4), Bengaluru (4), Hyderabad (3).

What generative roles keep asking for: Generative AI (54%), Python (30%), AWS (26%), LLMs (20%), Machine learning (20%), RAG (17%), Azure (16%), Java (15%) — counted across their open postings here.

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Preparing for this interview

Interviews for generative roles keep coming back to Generative AI, Python, AWS, LLMs. Practise those questions before you sit with Sutherland.

Questions you are likely to be asked

  1. Why do you want to join Sutherland?
  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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We are looking for a skilled and delivery-focused Technical Developer to design, build, and deploy innovative AI applications leveraging Agentic AI frameworks and GenAI technologies. The candidate will be responsible for transforming architecture into scalable solutions, optimizing AI workflows, and driving production-grade implementations. Key Responsibilities: Develop, test, and maintain Agentic AI workflows using Langchain, LangGraph, Google ADK, etc. Convert AI architecture into working prototypes and deployable components. Build and enhance RAG pipelines, agent-based applications, and knowledge retrieval systems. Perform data preprocessing, feature engineering, and model optimization. Collaborate with teams to build reusable GenAI modules and enforce coding best practices. Manage cloud-based deployments on AWS, Azure, or GCP. Debug and resolve system bottlenecks, ensuring performance and reliability. Keep up with advancements in GenAI, LLMs, and autonomous agents. Required Skills & Qualifications: Strong coding background in Python with AI/ML engineering experience. Proven track record of working with LLMs, Transformer models, and Agentic AI frameworks. Familiarity with prompt engineering, API integration, and model orchestration. Hands-on experience with RAG architectures, vector databases, and agent-to-agent communication (MCP). Working knowledge of SQL/NoSQL, data warehousing, and analytical querying. Understanding of CI/CD pipelines, Docker, and Kubernetes for model lifecycle management. Preferred Qualifications (Good to Have): Experience with LangGraph agent orchestration or similar agentic toolkits. Exposure to enterprise-grade AI applications in finance, healthcare, or e-commerce. Experience Level: 3–7 years of relevant experience in AI/ML or full-stack AI solution development. Education: Bachelor’s or Master’s in Computer Science, Engineering, Data Science, or related field. All your information will be kept confidential according to EEO guidelines.

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Listed on smartrecruiters · posted 2026-09-18. ApplySarthi collects openings and links to application pages; the role is advertised by Sutherland, not by us.