Senior AI Software Developer
DoseSpot
AWSAzureCloudDockerJavaKubernetesMicroservices.NETNoSQL
Lead AI Platform Architect
GoFundMe.org
full-time
Posted on:
Location Type: Hybrid
Location: San Francisco • California • 🇺🇸 United States
Visit company websiteSalary
💰 $216,500 - $324,500 per year
Job Level
Senior
Tech Stack
AWSCloudDockerKubernetesMicroservicesPythonTerraform
About the role
- Design and implement AI platforms enabling scalable, secure access to LLMs from multiple model providers.
- Design and implement agentic workflows, tool ecosystems, and LLM prompt management solutions.
- Design, build, and optimize scalable model training, fine tuning, and inference pipelines integrated with production systems.
- Influence technical strategy for embedding stores, vector databases, and reusable assets.
- Lead initiatives to streamline ML/AI workflows, improve operational efficiency, and establish standardized procedures.
- Design and develop backend services and RESTful APIs using Python and FastAPI integrated with ML pipelines.
- Take operational responsibility for team-owned services including monitoring, optimization, troubleshooting, and on-call rotation.
- Collaborate with data and applied scientists, software engineers, product managers, and stakeholders to deliver ML-driven products.
- Coach and mentor ML engineers, promoting collaboration and engineering excellence.
- Build, deploy, and maintain ML infrastructure using AWS, Databricks, Docker, Kubernetes, Terraform, Snowflake, Coralogix, and GitHub.
Requirements
- 9+ years of hands-on experience in machine learning engineering, AI development, software engineering, or related fields, emphasizing secure, large-scale, distributed system design, AI/ML pipeline development, and implementation.
- Extensive experience designing, developing, and operating scalable backend systems using domain-driven design, event-driven architectures, and microservices.
- Deep expertise in agentic workflows, AI evaluation solutions, prompt management, and secure AI development and testing practices.
- Strong knowledge of relational and document-based databases, data storage paradigms, and efficient RESTful API design.
- Experience establishing robust CI/CD pipelines, automated testing (unit and integration), and deployment practices.
- Strong leadership skills, including planning and management of complex projects and mentoring team members.
- Excellent communication skills for technical and non-technical stakeholders.
- Bachelor's degree in Computer Science, Software Engineering, or related field (preferred).
- Proficiency in Python and cloud infrastructure provisioning via code (AWS preferred).
- Experience with Python, FastAPI, AWS, Databricks, Docker, Kubernetes, Terraform, Snowflake, Coralogix, and GitHub.
- Willingness to participate in on-call rotation and operational responsibility for production services.
- Candidates must be located in the San Francisco Bay Area; in-office requirement 3x a week.
Benefits
- Competitive pay
- Comprehensive healthcare benefits
- Equity
- Financial assistance for hybrid work
- Family planning assistance
- Generous parental leave
- Flexible time-off policies
- Mental health and wellness resources
- Learning, development, and recognition programs
- Diversity, equity, and inclusion initiatives and employee resource groups
- Volunteering and Gives Back programs
- Reasonable accommodation for hiring process
ATS Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learning engineeringAI developmentsoftware engineeringbackend systems designAI/ML pipeline developmentRESTful API designCI/CD pipelinesautomated testingdomain-driven designevent-driven architectures
Soft skills
leadershipproject managementmentoringcommunication
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Software Engineering
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