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Company

University of California, San Francisco · 8 hours ago

Research AI Tooling Lead Engineer

San Francisco, CA

Full-time

Remote

Senior Level

$114K/yr - $197K/yr

5+ years exp

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Responsibilities

Work as the lead software engineer of a small team to develop, harden, and maintain artificial intelligence software tools and patterns for basic science and health research at a world-class research institution.

Provide deep bioinformatics expertise and software architecture capacity to lead the curation of an ecosystem of open-source AI libraries and tools to be reviewed, hardened, and containerized for researchers to use in UCSF’s secure environments in the Research Analysis Environment, the Facility for Advanced Compute, and the new UCSF AI HPC environment.

Align tools provided in this ecosystem with Jupyter code sample libraries the team will provide for researchers to enable them to progress from learning and discovery into production-quality deployment of tools.

Establish frameworks and strategies that would also support many other AI/ML tools.

Develop reusable patterns for tooling, including templates for transformers and inference models, AI integration libraries, vector databases and adapters, multi-agent and skills-based tools, and language agent model and concept mapping strategies.

Produce a set of building blocks which can be combined to produce production-ready products used by other teams, including an LLM- and RAG-based co-pilot for UCSF’s research data assets and a chatbot testing platform with the capacity for integration against sensitive research data.

Assist clients via complex AI solutioning requests and consults, implementation troubleshooting, communicating with key stakeholders via one-on-one training, documentation, requirements gathering, and other duties as assigned.

Qualification

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Bioinformatics expertiseSoftware architectureAI/ML technologiesPythonSQLGitHubAgileLangchainChromaDBNLPGenerative adversarial networksMulti-agent toolsDocumentation managementCITI certification

Required

Bachelor's degree in computer science, or a related/quantitative area, OR equivalent combination of experience/training.

CITI human subjects research protection (can be completed after hire)

5 or more years of experience managing code versioning and development workflows with a modern source control system such as Github; working knowledge of production system change control processes.

Demonstrated knowledge of and at least 4 years of professional experience using modern data science and data engineering orientated high-level programming languages, including SQL and at least one of Python, Julia, PHP, and/or Node.js.

Experience working in a structured software development environment with planned release cycles using a standardized project management framework (Agile, Kanban, Lean, or similar)

Demonstrated ability to interconnect existing open source or commercial software libraries using standardized API-driven processes

Working knowledge of underlying theory pertaining to AI/ML technologies, including NLP, vectorization, inference models, generative adversarial networks, etc

Demonstrated knowledge of modern AI/LLM foundational engineering tooling, such as Langchain, Chainlit, ChromaDB, etc

Demonstrated ability to effectively communicate with end users and diverse stakeholders in appropriate technical and non-technical terms

Experience writing and executing application test plans or utilizing test-driven design practices

Preferred

Advanced degree in health care information technology, computer science or a related/quantitative area, OR equivalent combination of experience / training.

Post-graduate education in computer science, mathematics, or artificial intelligence, OR equivalent combination of experience / training.

5 or more years of experience guiding technical implementation and providing technical mentorship in a team of engineers.

At least 5 years of experience working with open-source libraries as a contributor and/or community leader.

Demonstrated ability to harden open source tools to be deployed in a secure environment, preferably one with specific compliance mandates

Demonstrated knowledge of modern AI/LLM low-code/no-code prototyping platforms, such as LangFlow, Langsmith, etc

Proven experience deploying tools or solutions leveraging foundational GenAI/LLM engineering tooling (for example, building and deploying a containerized multi-agent RAG-enabled chatbot using Python libraries).

Experience delivering platform-quality tools or experiences to a user community, preferably composed of researchers and/or developers.

Working knowledge of microservice or service mesh technologies

Experience managing documentation with Wikis, markdown, and/or document assemblers such as MkDocs.

Company

University of California, San Francisco

University of California, San Francisco is an educational institution that focuses on medical courses.

Founded in 1864

San Francisco, California, USA

10,001+ employees

http://www.ucsf.edu

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