About Fynd

Fynd Recruitment

Job Role: Generative AI Engineer

Qualification: Bachelors / Masters Degree

Experience: Fresher

Batch: 2025 / 2024 / 2023 / 2022

Salary: up to ₹10 LPA

Job Location: Mumbai

Last Date: ASAP

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Role Overview:

• 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.

• 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.