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Salary
$225k – $250k per year
Location
In office (Redwood City)
Seniority
Senior · 7+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Jul 17, 2026.

Overview
Company
Impact
Profile match
Suki is a leading technology company that provides AI-powered voice solutions for healthcare. Its mission is to reimagine the healthcare tech stack, making it invisible and assistive to lift the administrative burden from physicians. Its flagship product is Suki Assistant, an AI-powered, voice enabled digital assistant that helps physicians complete documentation and other administrative tasks 72% faster on average.

Join Suki, a company dedicated to reducing the administrative burden on doctors through innovative AI technology. As a Senior AI Engineer, you will leverage your NLP expertise to enhance our computational infrastructure, manage large datasets, monitor system performance, and stay updated on NLP advancements. You will work directly on the platform powering our microservices and collaborate with cross-functional teams. Enjoy full healthcare benefits, unlimited vacation, team building activities, and a supportive work environment.

Missions

  • Leveraging NLP expertise to enhance computational infrastructure and improve processes and algorithms.
  • Managing and curating large datasets, ensuring data quality and relevance for training and evaluation.
  • Monitoring and analyzing system performance metrics, identifying areas for optimization and implementing necessary improvements.

Profil recherché

- Demonstrated end-to-end ownership of delivering at least one AI system to enterprise production, spanning the full workflow from problem framing, data pipelines, and model or agent development, through system integration, deployment, evaluation, monitoring, and continuous iteration

- Experience in building and maintaining distributed backend services for ML/AI applications

- 7+ years in overall software experience, with at least 2+ years focused on shipping AI or machine learning systems to production

- Hands-on experience designing and implementing evaluation frameworks for LLM-based systems, including automated evals, human feedback loops, regression testing, and benchmark design

- Strong grasp of CS fundamentals including abstractions, algorithms, probability, data structures and system design

- Preferred - Agentic workflows, SDKs, tool calling; e.g. Google Agent SDK, Langgraph, Langfuse, Langsmith

- Strong working knowledge of LLMs, including prompting, orchestration, RAG, context and cost management

- We don’t necessarily expect to find a candidate that has done everything listed, but you should be able to make a credible case that you’ve done most of it and are ready for the challenge of adding new skills to your resume

- Problem solving: you use data to help point you in the correct direction. You optimize relentlessly, and understand the impact you’re making on the business

- Action oriented: You love to build. You like to ship fast, quickly iterate, and see amazement in users’ eyes

- Confidence: You trust your abilities and you’re ready to push yourself to the next level

- Humility: You’re humble and love working in a team without ego to deliver products

- Expertise: You know how to train models. You understand which models work best, and utilize a balance of LLMs and building custom models to get the optimized solution for accuracy, speed and cost. You watch out for recall, accuracy, and precision. In other words, you’ve done this before

- Communication: You are a clear communicator and demonstrated consensus-builder

- Adaptability: You thrive in a fast-moving organization that uses light-weight processes and cutting-edge technology to have a huge impact

- Creativity: You enjoy listening to user feedback and then building products in novel ways. You’re resourceful and enjoy finding alternate paths to success

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