Senior Software Engineer, Internal Tools
About The Position
The Chan Zuckerberg Initiative (CZI) was founded in 2015 by Priscilla Chan and Mark Zuckerberg to harness the power of technology to pursue ambitious societal goals, such as curing or preventing all disease and transforming education. At CZI, employees join a collaborative, mission-driven community where their work contributes to breakthroughs in flagship nonprofit organizations, Biohub and Learning Commons. The Operations team, including Central Tech, Finance, Marketing & Communications, People, and Real Estate/Workplace/Events/Facilities/Security (REWFS), plays a crucial role in enabling Biohub's work in AI and biology to solve disease and Learning Commons' mission to build AI infrastructure for education. This involves creating systems, programs, and experiences that empower partners and colleagues to drive impact through strategic rigor, creativity, and collaboration. The Central Tech team specifically provides technology and security support for CZI and its grantees, focusing on Infrastructure, Security, and Grantee & Partner Support. They leverage technology to automate processes, innovate operations, provide support, and build solutions to enable business partners' strategies. This role focuses on building internal tools and AI-powered workflows to enhance the effectiveness of CZI's business teams, with an emphasis on end-to-end ownership of applications, agents, and integrations.
Requirements
- 5+ years building production software systems as a senior IC, with a track record of owning meaningful surfaces end-to-end
- Strong full-stack engineering fundamentals — comfortable shipping production applications, backend services, and the integration layer between them
- Direct production experience building LLM-based applications, custom agents, or agentic workflows
- Strong API integration experience at the enterprise SaaS layer — auth, rate limits, schema drift, failure modes
- Working fluency with MCP, LLM tool/function calling, current agent frameworks, and retrieval/knowledge infrastructure (knowledge graphs, vector stores, RAG)
- Comfort with ambiguity; ability to make progress when requirements are evolving
- Strong stakeholder fluency; you can hold technical conversations with business partners without a translator
Nice To Haves
- Background in enterprise IT, business systems, or platform engineering
- Experience operating cloud infrastructure (AWS, Terraform) for production systems
Responsibilities
- Own the design and delivery of individual systems end-to-end — from scoping with business stakeholders through production deployment
- Build the production applications business teams use day-to-day
- Design and build AI features — custom agents, workflows, and the knowledge and retrieval substrate that lets them reason over connected enterprise data
- Partner with the tech lead on architecture decisions; contribute strong points of view on tradeoffs, patterns, and reuse
- Potentially contribute to the team's cloud footprint over time — pragmatic infrastructure decisions, deployment, observability, and reliability for what the team ships, as the scope of the team develops
- Partner with senior business stakeholders and embedded engineers across the organization
Benefits
- Generous employer match on employee 401(k) contributions
- Paid time off to volunteer at an organization of your choice
- Funding for select family-forming benefits
- Relocation support
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
