Senior Gen AI Developer – Vice President

Role Overview

• Collaborate with AI architects, leads, and stakeholders to design and implement generative AI solutions that address business challenges.
• Develop, fine-tune, and optimize large language models (LLMs), leveraging both parameter-efficient techniques and full fine-tuning where applicable.
• Implement and experiment with advanced generative AI methods, including prompt engineering and Retrieval-Augmented Generation (RAG).
• Support the integration of AI models into production environments, ensuring robust deployment, scalability, and maintainability.
• Contribute to the development and optimization of real-time and streaming AI solutions.
• Stay current with the latest advances in generative AI and actively share knowledge with the team.
• Ensure adherence to ethical AI guidelines, data privacy, and compliance standards.
• Mentor junior team members, provide code reviews, and foster a culture of technical excellence.

Requirements

• At least 5 years of experience in AI/ML, including significant experience in Generative AI.
• Demonstrated portfolio of successful AI-driven projects in a business environment.
• Experience working with AWS (or equivalent) cloud infrastructure for AI/ML.
• Strong hands-on experience with LLMs and fine-tuning methods such as LoRA, QLoRA, Adapter/Prefix Tuning, and instruction tuning.
• Practical knowledge of model optimization (compression, quantization) and familiarity with tools such as DeepSpeed, vLLM, GPTQ, or similar.
• Proficient in prompt engineering and familiarity with prompt design tools/frameworks.
• Experience building RAG systems, including hybrid search and multi-vector retrieval.
• Proficient with machine learning frameworks (PyTorch, TensorFlow, Keras) and distributed training.
• Strong skills in NLP (NER, Dependency Parsing, Text Classification, Topic Modeling), transfer learning, and advanced learning paradigms.
• Experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines for ML models.
• Familiarity with generative AI tools like LangChain, LlamaIndex, Hugging Face, and major GenAI APIs (OpenAI, Gemini, Claude, etc.).
• Solid understanding of AI compliance, guardrails, and responsible AI practices.
• Strong skills in Python and experience with data preprocessing, feature engineering, and API development.
• Strong collaboration skills to work effectively in cross-functional teams.
• Analytical and proactive approach to problem-solving.
• Clear communication skills for both technical and non-technical audiences.
• Eagerness to learn, innovate, and mentor less experienced developers.

Tech Stack

• AWS
• Cloud
• Docker
• Keras
• Kubernetes
• Python
• PyTorch
• Tensorflow

Benefits

• medical, dental & vision coverage
• 401(k)
• life, accident, and disability insurance
• wellness programs
• planned time off (vacation)
• unplanned time off (sick leave)
• paid holidays