AI Engineer(Python, SQL, and GenAI frameworks ,LLM architecture, RAGs, embeddings, prompt tuning,agentic AI
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Job Summary
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 -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 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/bachelors degree in Computers Marketing or a related field is typically required.
Remote Work :
No
Employment Type :
Full-time
About Company
WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable busin ... View more
