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Sutherland new direct test Agentic AI Developer apply and start test now . This is a great opportunity for freshers and early-career professionals looking to kickstart their journey in a global IT services company. The position is based in India and eligible candidates are encouraged to apply online at the earliest. The detailed eligibility criteria and application process are given below. Also Check course section free
About Company
We work with global iconic brands. We bring them a unique value proposition through market-leading technologies and business process excellence. At the heart of it all is Digital Engineering services – the foundation that powers rapid innovation and scalable business transformation. We’ve created 363 unique and independent inventions, 250 of which are AI-based and rolled up under several patent grants in critical technologies. Leveraging our advanced products and platforms, we drive digital transformation at scale, optimize critical business operations, reinvent experiences, and pioneer new solutions, all provided through a seamless “as-a-service” model.
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Job Overview
We are seeking an Agentic AI Developer to build intelligent, autonomous AI systems that can reason, retrieve knowledge, and act across multiple tools and data sources. The role focuses on developing multi-agent pipelines, RAG systems, and real-time AI-driven applications.
Responsibilities
- Design and develop agentic AI systems using LLMs, tools, and orchestration frameworks.
- Build RAG pipelines for structured and unstructured data.
- Implement multi-agent workflows for document understanding, OCR, and data extraction.
- Build APIs and services using Python and FastAPI for AI pipelines.
- Evaluate and improve model accuracy, latency, and reliability
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Required Skills
- Strong proficiency in Python and SQL.
- Experience with LLMs, RAG, and multi-agent systems.
- Hands-on with LangChain, LangGraph or similar frameworks.
- Experience with vector databases and OCR tools.
- Experience deploying models on cloud platforms (Azure preferred).
- Knowledge of prompt engineering and agent reasoning patterns.
- Familiarity with cloud deployment and Docker.
Good to Have
- Exposure to cloud platforms (GCP) .
- Exposure to MLOps experience.
- Knowledge of CI/CD tools.
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