Full Stack Developer( LLM & AI/ML/ Python NLP, Claude,Mistral,RAG ) Group Manager - RNA

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Bangalore, Bengaluru Urban, Karnataka
In-Office
Information Technology • Professional Services • Consulting
The Role
Company Description

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 businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees.

Job Description

Job Description:

  • Design, fine-tune, and deploy LLM-based solutions (e.g., ChatGPT, LLaMA, Mistral, Claude).Integrate LLMs into modern web applications to deliver intelligent user experiences
  • Develop end-to-end full-stack applications using modern web frameworks and RESTful APIs.
  • Collaborate with data scientists and product managers to translate business problems into LLM-based applications.
  • Build and optimize prompt engineering workflows for maximum model performance.
  • Ensure performance, scalability, and security of deployed solutions
  • Stay up to date with the latest advancements in generative AI and web development
  • Must Have: LLM & AI/ML Skills:
  • Deep experience with LLMs (OpenAI GPT, Claude, LLaMA, Mistral, etc.)
  • Expertise in prompt engineering, model fine-tuning, and RAG (Retrieval-Augmented Generation)
  • Familiarity with Hugging Face, LangChain, or similar AI frameworks
  • Strong Python programming skills, especially in NLP libraries (e.g., Transformers, SpaCy, PyTorch, TensorFlow)
  • Experience with vector databases (e.g., Pinecone, FAISS, Weaviate)Web Development:
  • Proficiency in modern front-end frameworks (React, Angular, or Vue.js)
  • Strong backend development experience (Node.js, Django, Flask, or FastAPI)
  • Hands-on experience building and integrating RESTful APIs and GraphQL endpoints
  • Strong understanding of web architecture, security, performance optimization.DevOps & Deployment:
  • Experience with Docker, Kubernetes, or cloud services (AWS, Azure, GCP)CI/CD pipelines and code quality tools (e.g., GitHub Actions, Jenkins)General:Strong problem-solving and debugging skills.
  • Excellent written and verbal communication.Ability to work independently in a fast-paced, innovative environment
  • Ability to translate business needs into scalable tech solutions
  • Leadership experience in mentoring or guiding technical teams

Qualifications

Master’s or Bachelors in Computer Science, Artificial Intelligence, or a related field

Experience with production-grade LLM applications (chatbots, agents, copilots, etc.)

8+ years of hands-on experience

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The Company
HQ: Mumbai
59,000 Employees
Year Founded: 1996

What We Do

WNS (Holdings) Limited (NYSE: WNS) is a leading Business Process Management (BPM) company. WNS combines deep industry knowledge with technology, analytics, and process expertise to co-create innovative, digitally led transformational solutions with over 400 clients across various industries. WNS delivers an entire spectrum of BPM solutions including industry-specific offerings, customer experience services, finance and accounting, human resources, procurement, and research and analytics to re-imagine the digital future of businesses. As of December 31, 2022, WNS had 57,994 professionals across 64 delivery centers worldwide including facilities in Canada, China, Costa Rica, India, the Philippines, Poland, Romania, South Africa, Spain, Sri Lanka, Turkey, the United Kingdom, and the United States.

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