Senior Gen AI Developer - Vice President

Senior Generative AI Developer

We are seeking an experienced Senior Generative AI Developer to help drive the design, development, and integration of state‑of‑the‑art Generative AI solutions across our enterprise Controls Technology platform. You will collaborate with cross‑functional teams, contribute deep technical expertise, and play a key role in delivering scalable AI solutions to enhance automation and operational efficiency.

• Collaborate with AI architects, leads, and stakeholders to design and implement advanced generative AI and agentic AI solutions that address complex business challenges.
• Develop, fine‑tune, and optimize large language models (LLMs), leveraging parameter‑efficient techniques and full fine‑tuning where applicable, ensuring efficient data management and retrieval, potentially involving Postgres for structured data.
• Implement and experiment with cutting‑edge generative AI methods, including prompt engineering, Retrieval‑Augmented Generation (RAG), and the orchestration of agentic AI systems.
• Support the integration of AI models and agentic workflows into production environments, ensuring robust deployment, scalability, maintainability, and efficient data handling within systems potentially leveraging Postgres.
• Contribute to the development and optimization of real‑time and streaming AI solutions, including those powered by agentic AI.
• Stay current with the latest advances in generative AI, agentic AI, and related technologies (including database technologies like Postgres), actively sharing knowledge and fostering innovation within the team.
• Ensure adherence to ethical AI guidelines, data privacy, and compliance standards across all generative and agentic AI implementations.
• Mentor junior team members, provide thorough code reviews, and cultivate a culture of technical excellence and continuous learning.

• 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 Deep Speed, 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, Tensor Flow, 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 Lang Chain, Llama Index, Langgraph, Crew.ai, autogen, Hugging Face, and major GenAI APIs (OpenAI, Gemini, Claude, etc.), with an emphasis on frameworks supporting agentic AI development.
• Solid understanding of AI compliance, guardrails, and responsible AI practices.
• Strong skills in Python and experience with data preprocessing, feature engineering, and API development.
• Proficiency in database management, including strong SQL skills and hands‑on experience with Postgre
  
  SQL for data storage, retrieval, and optimization in AI applications.
• Experience in designing and implementing multi‑agent systems, including understanding of agent architectures, communication protocols, and goal‑oriented AI.
• Familiarity with frameworks and techniques for orchestrating autonomous agents and managing their interactions.

• 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.

• 5 plus 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.

• Bachelor’s or master’s degree in Computer Science, Data Science, AI, or equivalent…