AI Engineer(Python, SQL, and GenAI frameworks ,LLM architecture, RAGs, embe at WNS Global Services

Gurugram, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

23 Aug, 26

Salary

0.0

Posted On

25 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, GenAI Frameworks, LangChain, LLM Architecture, RAG, Embeddings, Prompt Tuning, Agentic AI, Vector Databases, AWS, Azure, GCP, FastAPI, React, Node.js

Industry

Business Consulting and Services

Description

Company Description WNS (Holdings) Limited (NYSE: WNS) is a digital-led business transformation and services company that co-creates smarter businesses with more than 700 clients across 10 industries. We blend deep domain excellence, WNS’ core differentiation, with AI-powered platforms and analytics to help businesses innovate continuously, scale effortlessly, adapt swiftly and lead resiliently in a world defined by disruption. Our purpose: Enabling lasting business value by designing intelligent, human-led solutions that deliver sustainable outcomes and differentiated impact. 3 4 13 Global Headquarters Continents Countries 700+ 66000+ 65 Clients Employees Delivery Centers Job Description Skills & Qualifications Required ● Strong proficiency in Python, SQL, and GenAI frameworks (e.g., LangChain). ● Hands-on experience in building and deploying AI agents with orchestration, tool use, and state management. ● In-depth knowledge of LLM architecture, RAGs, embeddings, prompt tuning, and vector databases, agentic AI patterns (ReAct, tool-calling agents, multi-step reasoning, guardrails) ● Experience with cloud platforms (AWS, Azure, GCP) and containerization. ● Strong analytical, problem-solving, and communication skills. ● Data integration experience — REST APIs, Google APIs, SQL databases. Comfortable moving data between systems. ● Experience in Web development: FastAPIs, Typescript, async patterns, building production APIs, React, node.js, Component architecture, hooks, state management, consuming streaming APIs (SSE/WebSocket) Preferred ● 4+ years of hands-on experience with LLMs and GenAI in production settings. ● Exposure to agentic AI tools and multi-agent workflows (e.g., CrewAI, LangGraph, Autogen). ● Familiarity with MLOps and AI deployment best practices. ● Experience in client-facing or cross-functional AI initiatives. ● Publications, open-source contributions, or demonstrable projects showcasing AI agent development. Qualifications Master/bachelor's degree in Computers, Marketing or a related field is typically required.

Responsibilities

Design and deploy AI agents using orchestration, tool use, and state management. Build production APIs and integrate data across systems using REST and SQL databases.