Design, fine-tune, and deploy generative AI models (LLMs, diffusion, VAEs). Build data pipelines and APIs, integrate AI into production, optimize model performance and latency, and collaborate with cross-functional teams to deliver AI-powered solutions.
Job Summary:
We are looking for a talented Generative AI Developer with strong Python expertise to join our team. The ideal candidate will have hands-on experience in building and deploying AI/ML models, especially in the field of Generative AI (e.g., LLMs, Diffusion Models, Transformers). You’ll work closely with data scientists, product managers, and engineering teams to integrate intelligent, generative capabilities into real-world applications.
Key Responsibilities:
- Design, develop, and deploy Generative AI models (e.g., LLMs, GPT, diffusion models, VAEs).
- Fine-tune pre-trained models using Hugging Face, OpenAI, or other frameworks.
- Build data pipelines and APIs to support training and inference.
- Integrate AI functionality into production systems and applications.
- Evaluate and improve model performance, latency, and reliability.
- Stay current with the latest GenAI research and rapidly evolving ecosystem.
- Collaborate with cross-functional teams to understand business requirements and deliver AI-powered solutions.
Must-Have Skills:
- Strong Python programming experience (3+ years).
- Experience with Generative AI frameworks such as Hugging Face Transformers, LangChain, OpenAI API, or LLamaIndex.
- Familiarity with ML/DL frameworks: PyTorch, TensorFlow, or JAX.
- Experience with LLM fine-tuning, prompt engineering, embeddings, or vector databases.
- Understanding of NLP concepts: tokenization, embeddings, attention mechanisms.
- Working knowledge of REST APIs, Docker, and cloud services (AWS/GCP/Azure).
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