senior llm engineer.

This role involves supporting the end-to-end delivery lifecycle, including software development, testing, and operational support, with a focus on generative AI. Key responsibilities include:

• Taking ownership of products and services, developing technology solutions to meet customer needs, particularly in AI-driven contexts.
• Responsible for LLM In-House Deployment, especially on private cloud.
• Collaborating with engineers, architects, and stakeholders to drive AI-powered product/service direction.
• Creating and automating high-quality code, testing pipelines, and technical test plans to ensure robustness and scalability in AI-based applications.
• Working with DevOps teams to identify and address operational issues (e.g., performance, scalability) in AI systems.
• Managing incidents related to AI/ML services, ensuring resilience and recovery objectives are met.
• Automating CI/CD pipelines with a focus on AI model deployment and continuous improvement.
• Staying updated on AI tools, technologies, and regulations, particularly around data privacy and generative AI.

skills and experience required.

• Entrepreneurial mindset with an interest in AI, especially generative AI.
• Advanced degree (MS/PhD preferred) from top institutions.
• Familiar with LLM In-House Deployment.
• Full stack engineering skills, with experience in AI frameworks (e.g., GPT, LLMs).
• Contributions to AI communities or open-source projects preferred.
• Knowledge of financial services (e.g., banking, insurance) is advantageous.
• Ability to interpret academic research in AI and fintech.
• Strong analytical, problem-solving, and communication skills in a fast-paced environment.
• DevOps and agile experience, with adaptability to evolving AI responsibilities.