Lead the design, development, and maintenance of AI-assisted web software components for partner white‑label solutions, ensuring quality, security, and scalability across diverse partner environments.
Responsibilities
Design and implement AI‑driven web components using JavaScript, TypeScript, React, and Node
Direct AI coding agents and review generated code for bugs, security, and architecture issues
Write prompts and specifications that enable reliable AI code generation
Develop test suites and regression coverage using AI tools
Architect system design, API boundaries, and versioning for partner integrations
Requirements
Bachelor's degree in a relevant field or equivalent experience
A talented and passionate Senior Full Stack Developer with a specialized focus on delivering exceptional customer value through AI enablement and a rigorous approach to engineering.
Responsibilities
Utilize Spec Driven Development (SDD) to ensure all features are well-architected, scalable, and documented before execution.
Design, build, ship, and maintain the Fulcrum platform, collaborating with the team to deliver high-quality product features and exceptional UI/UX.
Proactively identify opportunities to automate manual processes across the engineering lifecycle, using AI and custom tooling to increase velocity without compromising system integrity.
Constantly collaborate with team members across product, design, and engineering to ship quality features and maintain the Fulcrum platform.
Drive long-term platform growth by designing modular, extensible architectures while maintaining high code quality through rigorous peer reviews, proactively addressing security vulnerabilities, and optimizing for performance.
Help build and operate products and systems that make advertising experiences better, focusing on creative enhancements, web rendering and delivery, or supporting services and tools.
Responsibilities
Work with Product, Design, and other Engineering teams to understand problems, define solutions, and make informed tradeoffs
Design, build, test, and maintain software across the stack, from user-facing tools and ad experiences to backend services and delivery systems
Take ownership of projects from investigation and technical design through deployment, monitoring, and iteration
Investigate production issues across system boundaries, using data and collaboration to understand their impact and fix the underlying problem
Build reliable, performant software that works at scale, and improve existing architecture and engineering practices along the way
Own and enhance the AI Gateway, deploy and serve AI models, aggregate AI spend, improve repository AI readiness, support engineers, and collaborate with IT, Finance, and Legal on security and data governance.
Responsibilities
Own the AI Gateway: follow new releases, ship fixes and features, and keep it reliable for the whole company.
Deploy and serve open-source models, and connect third-party hosted models through the Gateway when they are too large for our infrastructure.
Aggregate AI spend across our tools, build dashboards on top of the Gateway, and reduce cost through model routing and context compression.
Make our repositories agent-ready: write and maintain skills and agent instruction files, improve linters and CI guardrails, and add capabilities to our software factory.
Support engineers in using AI tools effectively and improve the AI developer experience.
Research Interns put inquiry and theory into practice, collaborating with researchers to develop AI and systems solutions for coding agents.
Locations (3)
Redmond, Washington, United States
California, United States
New York, United States
Compensation
The base pay range for this internship is USD $6,810 - $13,480 per month. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $8,920 - $14,610 per month.
Responsibilities
Develop AI and/or systems solutions that extend the state of the art in coding agents
Characterize and profile KV cache behavior under real coding workloads
Implement and evaluate prototypes using small-scale testbeds and large-scale production environments
Senior Software Engineer, macOS - AI Security & Governance (Elara)
Build the Elara macOS agent, a lightweight, native, always‑on component that monitors AI usage on Macs and enforces security policies.
Locations (2)
Atlanta, Georgia, United States
Mountain View, California, United States
Compensation
The typical base salary for this role is between USD $141,000– $250,000 per year and it may be eligible for participation in a corporate bonus program.
Responsibilities
Make foundational architecture decisions for the Elara macOS agent
Write specs, design docs, and interface contracts
Build guardrails for agent‑assisted development
Build native endpoint security capabilities on Apple’s system frameworks
Implement monitoring of process, file‑system and application activity
Requirements
Bachelor's Degree
Nice to have: EDR
Nice to have: DLP
Nice to have: VPN
Nice to have: ZTNA
Senior Full Stack Engineer (.NET/React) - AI Services
Lead the engineering team and own the end-to-end platform, designing architecture, ensuring reliability, security, and cost efficiency while integrating AI coding agents.
Compensation
Competitive Base Compensation
Performance Bonus (Profit Share)
Responsibilities
Own the platform end to end
Design and evolve the architecture of the whole platform
USA, IL, Chicago - 153,600.00 - 207,700.00 USD annually
USA, NY, New York - 168,900.00 - 228,500.00 USD annually
USA, TX, Austin - 153,600.00 - 207,700.00 USD annually
USA, TX, Dallas - 153,600.00 - 207,700.00 USD annually
USA, VA, Arlington - 153,600.00 - 207,700.00 USD annually
USA, WA, Seattle - 153,600.00 - 207,700.00 USD annually
Responsibilities
Build AI‑DLC into AI coding agents and frameworks used on customer engagements
Contribute steering files, hooks, skills, and prompts that embed AI‑DLC phases, quality gates, and human accountability
Build agents that check and improve how delivery agents follow the methodology
Create tested guidance and guardrails for running AI‑DLC in customer environments
Build modular, role‑based AI‑DLC training (labs, workshops, assessments)
Requirements
Bachelor's degree in Computer Science, Engineering, a related field, or equivalent experience
Nice to have: Experience delivering AI‑DLC, spec‑driven, or agentic development engagements
Nice to have: Experience building AI agents or multi‑agent workflows
Nice to have: Experience building technical training such as workshops, labs, or curriculum
Nice to have: Experience with technical writing or public speaking
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