Fynd Off Campus Drive 2025 | Graduate AI Engineer | 0-3 Years

Fynd a multinational company is hiring through off campus recruitment for the position of Graduate SDE as Generative AI Enineer . The company is seeking talented and enthusiastic Graduate Trainees to join its dynamic team in Mumbai.

About The Fynd Off Campus Drive 2025

Profile: Graduate SDE – AI Engineer

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Location: Mumbai

Qualification: B.E. / B.Tech /BSC/MCA/MS/M.Tech or any related

Experience: Freshers/0-3 Years

Salary : Best in Industry

Job Description :

We are seeking a passionate and driven Graduate Generative AI Engineer / Generative AI Engineer – 1 to join our innovative team at Fynd. As a part of our engineering team, you will contribute to building cutting-edge AI-native applications, integrating large language models (LLMs), and working at the forefront of generative AI technologies. This is a unique opportunity to work on real-world AI projects, build with agentic frameworks, and shape the future of intelligent applications.


What will you do at Fynd?

  • Design, develop, and deploy AI-enhanced applications using Python and modern web frameworks like FastAPI or Django.
  • Build intelligent systems that leverage large language models (LLMs) and generative AI techniques.
  • Integrate and experiment with LLM APIs (OpenAI, Anthropic, etc.) and frameworks like LangChainLangGraph, or LlamaIndex.
  • Develop agentic workflows and AI-native features that interact with structured and unstructured data sources.
  • Work with vector databases (e.g., Pinecone, Weaviate, FAISS) to build and query semantic search pipelines.
  • Implement concepts like vector embeddings, context window optimization, and memory management to improve model performance.
  • Collaborate with product managers, designers, and developers to deliver AI-first features and experiences.
  • Ensure scalability, modularity, and performance of AI workflows.
  • Contribute to experimentation, prompt engineering, fine-tuning, and evaluations of LLM-based systems.
  • Stay updated with the latest developments in generative AI, LLM research, and open-source AI tools.


Some more requirements

  • Comfortable using AI coding assistants like CursorGitHub CopilotChatGPTClaude, or Blackbox to accelerate development.
  • Exposure to or a strong interest in agentic frameworks and AI-native product development.
  • Hands-on experience or a strong interest in generative AILLMsprompt engineering, or RAG (retrieval-augmented generation).
  • Understanding of key AI concepts such as vector embeddingstoken context limitstool use, and multi-agent systems.
  • Experience with or enthusiasm for working with LLM APIsfoundation models, and fine-tuning techniques.
  • Solid foundation in Python and good understanding of software development fundamentals.
  • Familiarity with the web stack (JavaScript, HTML, CSS) and version control systems like Git is a plus.
  • Strong analytical and problem-solving skills with attention to detail.
  • Ability to work independently and collaboratively in a fast-paced, experimental environment.
  • Bachelor’s degree in Computer ScienceAI/MLData Science, or a related field.
  • Freshers are welcome – if you have a strong foundation and a hunger to learn, we’d love to hear from you!
  • Eagerness to grow, explore new paradigms, and contribute to the future of generative AI.

How To Apply

Interested candidates are encouraged to apply online on following link asap.

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