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# Generative Artificial Intelligence

- **Company:** CareerCircle
- **Location:** San Francisco, CA, United States
- **Experience:** Expert
- **Salary:** $158,400.0 - $264,000.0
- **Contract:** Permanent contract
- **Skills:** Clean Code Principles, Application Programming Interfaces (APIs), Artificial Intelligence, Data Analysis, Application Integration Architecture, User Authentication, Cloud Computing, Continuous Integration, Information Engineering, DevOps, Programming Tools, Github, Python (Programming Language), Machine Learning, Metadata, Routing, Scrum Methodology, DataOps, Software Engineering, Management of Software Versions, Network Routing, Google Cloud, Cloud Platform System, Large Language Models, Multi-Agent Systems, Generative AI, Infrastructure as Code (IaC), Information Technology, Production Code, Api Design, Terraform, Artificial Intelligence Markup Language (AIML)
- **Published:** September 3, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/ca/san-francisco/e2c308c2-e948-4c3f-972d-bb19e97f81fa

## About the Role

DevOps
Github
Writing
DataOps
Research
Metadata
Weaviate
Terraform
Usability
Mechanics
Leadership
Management
Automation
Innovation
Caregiving
Collections
Scalability
Forecasting
Data Analysis
Collaboration
Accountability
Job Evaluation, We are looking for professionals with these required skills to achieve our goals:

 * Bachelor's, Master's or PhD degree in Computer Science, Software Engineering, or related discipline.
 * 4+ years of software engineering experience building production systems
 * Experience with Python proficiency in writing well instrumented, tested, and maintainable code
 * API design and developer experience focus (versioning, SDKs, docs) and ability to collaborate with ML/security/product teams

Preferred Qualifications:

If you have the following characteristics, it would be a plus:

 * Experience building platform for service-specific (e.g. Models, Agents, MCP services) lifecycle management involving development tools, CI/CD workflows, as well as API discovery, routing, authentication, observability
 * Deep knowledge of integrating applications with LLMs and experience with an agent framework such as LangGraph
 * Experience in operating production multi-tenant Vector DBs (e.g. Weaviate) and expertise with embedding/modeling best practices
 * Experience with fine-tuning and/or optimized deployments of LLMs
 * Experience with infrastructure-as-code and CI/CD tools (e.g. Terraform and Github Actions respectively)
 * Google Cloud expertise, including and scalable cloud compute services, such as Google Batch and Vertex AI

#GSKOnyx, #R&DTechProject, DevOps, Github
Writing
DataOps
Research
Metadata
Weaviate
Terraform
Usability
Mechanics
Leadership
Management
Automation
Innovation
Caregiving
Collections
Scalability
Forecasting
Data Analysis
Collaboration
Accountability
Job Evaluation

## Description

Network Routing
Cloud Computing
Production Code
Computer Science
Machine Learning
Data Engineering
Programming Tools
Workflow Management
Software Versioning
Functional Genomics
Multi-Agent Systems
Software Engineering
Lifecycle Management
Full Stack Development
Continuous Development
Artificial Intelligence
Google Cloud Platform (GCP)
Scrum (Software Development)
Infrastructure as Code (IaC)
Python (Programming Language)
Medical History Documentation
Multi-Tenant Cloud Environments
Microsoft Certified Professional
Generative Artificial Intelligence
Application Programming Interface (API), Please note that this is a 'internal job posting' link, intended for GSK/ViiV employees only. Contingent Workers should check with the recruiter of the Job Requisition to confirm whether the job is open to contingent workers and to obtain the correct job posting hyperlink., * Serve as a key engineer for the GenAI platform and contribute technical expertise to teams in closely aligned technical areas such as AIML Platform, DevOps, Compute and Cloud.

 * Co-design major software components of the GenAI Platform and contribute to development of production code in Python and participate in both design reviews and PR reviews.
 * Accountable for key component(s) of GenAI Platform with particular focus on usability, reproducibility and performance at scale
 * Integrate with DataOps, and Data Engineering products for best performance and ease of use in ML training at scale
 * Participate in scrum teams and contribute technical expertise to teams in closely aligned technical areas.
 * Able to design innovative strategies and ways of working to create a better environment for the end users
 * Standard bearers for proper ways of working and engineering discipline, including CI/CD best practices and proactively contribute to improvements within your engineering area., Network Routing
Cloud Computing
Production Code
Computer Science
Machine Learning
Data Engineering
Programming Tools
Workflow Management
Software Versioning
Functional Genomics
Multi-Agent Systems
Software Engineering
Lifecycle Management
Full Stack Development
Continuous Development
Artificial Intelligence
Google Cloud Platform (GCP)
Scrum (Software Development)
Infrastructure as Code (IaC)
Python (Programming Language)
Medical History Documentation
Multi-Tenant Cloud Environments
Microsoft Certified Professional
Generative Artificial Intelligence
Application Programming Interface (API)
+0

Google IT Automation with Python


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