> Markdown version of [/jobs/ext/2723374-gen-ai-platform-engineer](https://www.wearedevelopers.com/jobs/ext/2723374-gen-ai-platform-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Gen AI Platform Engineer - **Company:** Data Storage Research, LLC - **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, Application Integration Architecture, Artificial Neural Networks, User Authentication, Microsoft Azure, Cloud Computing, Computer Programming, Continuous Integration, Information Engineering, DevOps, Programming Tools, Github, Python (Programming Language), Machine Learning, Routing, Performance Tuning, Scrum Methodology, Tensorflow, DataOps, Software Engineering, Management of Software Versions, Google Cloud, Feature Engineering, Large Language Models, Deep Learning, Model Validation, Information Technology, Production Code, Machine Learning Operations, Api Design, Terraform, Artificial Intelligence Markup Language (AIML) - **Published:** September 4, 2026 - **Apply:** https://www.dice.com/job-detail/0bdaf267-f8c1-4460-8522-32b2b904ab24 ## About the Role * 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 #LI-GSK #R&DTechProject Skills AI Frameworks, Algorithm Optimization, Artificial Neural Networks (ANNS), Computer Programming, Deep Learning, Feature Engineering, Google Cloud Platform (Google Cloud Platform) for Machine Learning, Machine Learning Algorithms, Machine Learning Operations, Microsoft Azure Data and AI, ML Frameworks, Model Evaluation, Model Training, Model Validation, Performance Optimizations, Software Development Life Cycle (SDLC) If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $158,400 to $264,000. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. ## Description * 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. ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Coffee with Developers - Maria Apazoglou](https://www.wearedevelopers.com/videos/1209-coffee-with-developers-maria-apazoglou) - [DevOps Maturity Check – a way to balance autonomy and alignment](https://www.wearedevelopers.com/videos/58-devops-maturity-check-a-way-to-balance-autonomy-and-alignment) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [Got AI ideas but no money? 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