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5 days ago
About the Role : We are looking for a talented and curious Generative AI Developer to join our growing AI team. In this role, you will work on cutting-edge projects involving large language models (LLMs), multimodal AI, and custom generative solutions for real-world use cases. You’ll collaborate with data scientists, ML engineers, and product teams to build, fine-tune, and deploy generative AI models that drive innovation and efficiency.
Key Responsibilities
- Develop and fine-tune LLMs and generative AI models for NLP, image, or multimodal tasks.
- Implement and optimize prompts, embeddings, and retrieval-augmented generation (RAG) pipelines.
- Integrate Gen AI capabilities into products, services, and enterprise applications.
- Collaborate with cross-functional teams (data science, product, backend) to deliver end-to-end AI features.
- Continuously evaluate new Gen AI tools, models (e.g., GPT, Claude, LLaMA, Mistral), and platforms (OpenAI, Hugging Face, LangChain, etc.).
- Ensure model performance, scalability, and safety through testing, monitoring, and feedback loops.
- Participate in research, POCs, and innovation sprints around Gen AI use cases.
Required Skills & Experience
- 2–4 years of hands-on experience in software development or machine learning, with at least 1 year in Generative AI or LLM-based projects.
- Proficiency in Python and experience with ML/AI libraries such as Hugging Face Transformers, PyTorch, or TensorFlow.
- Experience working with APIs from OpenAI, Anthropic, Cohere, or similar Gen AI providers.
- Familiarity with prompt engineering, vector databases (e.g., Pinecone, FAISS, Weaviate), and RAG techniques.
- Good understanding of model fine-tuning,
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