Research AI Solutions Engineer @ University of California, San Francisco | Jobright.ai
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University of California, San Francisco · 3 days ago

Research AI Solutions Engineer

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Responsibilities

Develop, harden, and maintain artificial intelligence software tools and patterns for basic science and health research.
Lead the curation of an ecosystem of open-source AI libraries and tools to be reviewed, hardened, and containerized.
Align tools with Jupyter code sample libraries for researchers.
Establish frameworks and strategies that support AI/ML tools beyond GenAI/LLM tooling.
Develop reusable patterns for templates, AI integration libraries, vector databases, and multi-agent tools.
Craft real-world implementation patterns for tools in on-prem and cloud infrastructure.
Assist clients via complex AI solutioning requests and consults.
Communicate with key stakeholders via one-on-one training, documentation, and requirements gathering.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

PythonSQLAI/ML toolingDevOps toolsGitHubAgileJavaPHPNode.jsMicroservicesChromaDBLangchainContainerizationDocumentation managementTest-driven designCITI certificationSoft skills

Required

Bachelor's degree in computer science, or a related/quantitative area, OR equivalent combination of experience / training.
2 or more years experience working with customers or stakeholders to determine and understand technical needs and translate them into meaningful software solutions.
4 or more years experience using modern devops tools for security scanning, CI/CD, and controlled code release practices (e.g. Github, Github Actions, Gitlab, SonarQube, etc)
Demonstrated ability to effectively communicate with end users and diverse stakeholders in appropriately technical and non-technical terms
Experience writing and executing application test plans or utilizing test-driven design practices
4 or more years 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 ability to interconnect existing open source or commercial software libraries using standardized API-driven processes
Demonstrated knowledge of and at least 5 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, Java, 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)

Preferred

Demonstrated knowledge of modern AI/LLM foundational engineering tooling, such as Langchain, Chainlit, ChromaDB, etc
Post-graduate education in computer science, mathematics, or artificial intelligence, OR equivalent combination of experience / training.
Advanced degree in health care information technology, computer science or a related/quantitative area, OR equivalent combination of experience / training.
Working 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
Demonstrated ability to interface with stakeholders to understand UI/UX considerations.
Experience managing documentation with Wikis, markdown, and/or document assemblers such as MkDocs.

Company

University of California, San Francisco

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

H1B Sponsorship

University of California, San Francisco has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (241)
2022 (327)
2021 (260)
2020 (242)

Funding

Current Stage
Late Stage
Total Funding
$40.55M
Key Investors
Baldrick's FoundationNational Institute on AgingAmerican Medical Association
2023-11-21Grant· Undisclosed
2023-10-04Grant· Undisclosed
2023-06-21Grant· Undisclosed

Leadership Team

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Sharat Israni
Exec Dir & CTO, Bakar Computational Health Sci Institute
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Pamela Hudson
Chief Operating Officer & Center for Digital Health Innovation
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Company data provided by crunchbase
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