Senior Systems Engineer - Enterprise AI Platforms
San Francisco Office (Fremont St) · San Jose Office (First St) · San Francisco Office (Second St) · 6+ years experience · Full-time · Hybrid · Posted Oct 7, 2026
At a glance
- Experience
- 6+ years experience
- Employment
- Full-time
- Workplace
- Hybrid
- Location
- San Francisco Office (Fremont St) · San Jose Office (First St) · San Francisco Office (Second St)
About Lambda
- - Founded in 2012, with 500+ employees, and growing fast
- - Our investors notably include TWG Global, US Innovative Technology Fund (USIT), Andra Capital, SGW, Andrej Karpathy, ARK Invest, Fincadia Advisors, G Squared, In-Q-Tel (IQT), KHK & Partners, NVIDIA, Pegatron, Supermicro, Wistron, Wiwynn, Gradient Ventures, Mercato Partners, SVB, 1517, and Crescent Cove
- - We have research papers accepted at top machine learning and graphics conferences, including NeurIPS, ICCV, SIGGRAPH, and TOG
- - Our values are publicly available: https://lambda.ai/careers
- - We offer generous cash & equity compensation
- - Health, dental, and vision coverage for you and your dependents
About the role
- Lambda is seeking a Senior Systems Engineer - Enterprise AI Platforms to build and scale internal systems powering the business.
- The role involves designing and delivering software and services to improve availability, scalability, reliability, and efficiency of internal IT systems and platforms.
Responsibilities
- Design, write, and deliver software and services to improve the availability, scalability, reliability, and efficiency of Lambda’s internal IT systems and platforms.
- Solve problems relating to mission critical services and build automation to prevent problem recurrence with the goal of automating response to all non-exceptional events.
- Work with Lambda Engineering and internal teams to Influence and create new designs, architectures, standards, and methods for large-scale distributed systems.
- Engage in service capacity planning and demand forecasting, software performance analysis, and system tuning.
- Produce documentation and related artifacts for the systems you are responsible for.
- Design and deploy low-code/no-code and custom internal platforms integrated with LLM workflows to automate daily IT and operationalize work.
- Deploy, monitor, and optimize internal AI proxy gateways to route model traffic, manage API rate limits, optimize latency, and control inference costs across teams.
- Integrate AI agents into internal IT workflows including Slack/Discord bots, incident triage, log parsing via Datadog, user provisioning, and ticket routing.
- Manage deployments, serverless functions, and infra pipelines to ensure 99.9% uptime for all internal systems.
- Implement guardrails, data-privacy controls, and secret management to ensure sensitive corporate data is not exposed to third-party LLM providers.
Requirements
- 6+ years in software engineering, site reliability engineering, or IT systems engineering where you built and ran things in code, not just configured them.
Preferred qualifications
- Experience and interest in ML/AI workloads and compute
- Practical experience implementing and managing paging, alerting, and on-call scheduling flows
- A positive attitude, combined with a desire to learn and collaborate
Benefits
- Generous cash & equity compensation
- Health, dental, and vision coverage for you and your dependents
- Wellness and commuter stipends for select roles
- 401k Plan with 2% company match (USA employees)
- Flexible paid time off plan
Workplace
- Position requires presence in the San Francisco or San Jose office location 4 days per week
- Lambda's designated work from home day is currently Tuesday
Skills
- Appsmith
- Vercel
- Slack
- Discord
- Datadog
- AWS
- GCP
