Fynd Off Campus Drive 2025 Hiring for Graduate SDE/ SDE – 1 | Generative AI Engineer

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Fynd Off Campus Drive 2025 hiring freshers for Graduate SDE/ SDE – 1 | Generative AI Engineer roles with qualification of Bachelor’s Degree in CS/IT/IS or related for Mumbai location. The detailed eligibility and application process are given in below.

Fynd Off Campus Drive

Fynd Off Campus Drive 2025 Details:

Company Website  www.statestreet.com
Job RoleGraduate SDE/ SDE – 1 | Generative AI Engineer
QualificationBachelor’s Degree in CS/IT/IS or related
ExperienceFreshers
BatchRecent Bathes
Salary 4 – 9  LPA (Glassdoor)
Job LocationMumbai

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Role Overview:

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 LangChain, LangGraph, 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 Cursor, GitHub Copilot, ChatGPT, Claude, 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 AI, LLMs, prompt engineering, or RAG (retrieval-augmented generation).
  • Understanding of key AI concepts such as vector embeddings, token context limits, tool use, and multi-agent systems.
  • Experience with or enthusiasm for working with LLM APIs, foundation 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 Science, AI/ML, Data 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.

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How to apply for Fynd Off Campus Drive 2025?


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