Fynd is India’s largest omnichannel platform and a multi-platform tech company specializing in retail technology and products in AI, ML, big data, image editing, and the learning space. It provides a unified platform for businesses to seamlessly manage online and offline sales, store operations, inventory, and customer engagement. Serving over 2,300 brands, Fynd is at the forefront of retail technology, transforming customer experiences and business processes across various industries.
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.
What do we offer?
Growth: Growth knows no bounds, as we foster an environment that encourages creativity, embraces challenges, and cultivates a culture of continuous expansion. We are looking at new product lines, international markets and brilliant people to grow even further. We teach, groom and nurture our people to become leaders. You get to grow with a company that is growing exponentially.
Flex University: We help you upskill by organising in-house courses on important subjects
Learning Wallet: You can also do an external course to upskill and grow, we reimburse it for you.
Culture:
Community and Team building activities.
Host weekly, quarterly and annual events/parties.
Wellness:
Mediclaim policy for you + parents + spouse + kids.
Experienced therapist for better mental health, improve productivity & work-life balance
We work from the office 5 days a week to promote collaboration and teamwork. Join us to make an impact in an engaging, in-person environment!