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Added 2 mins ago
Product Marketing Manager
AssemblyAI
United States
3–5 years in B2B product marketing, ideally with experience owning launches and positioning at a developer-focused, API-first, or AI company. We value non-traditional paths (former sales…
Added 2 mins ago
Growth Marketing Manager, Paid Demand & ABM
AssemblyAI
United States
…Speech-to-Text, Text-to-Speech with instant voice cloning, LLM Gateway, Speech Understanding, and the Dictation API, with more launches on the way. Our buyers pick an API on features and…
Added 11 mins ago
Research Software Engineer
Dartmouth College
NH
…and engage with collaborators at scientific conferences and developer sprints are available for those who enjoy them and have content to…
Added 15 mins ago
SC
AI Engineer II
Smart Circle International
Remote, United States
- $125,000 to $150,000 USD / year
Design, deploy, and scale AI, GenAI, and LLM-based solutions across business units
Added 17 mins ago
GC
AI/ML SME
Globenet Consulting Corp
BELLEVUE, WA
- $140,000 to $165,000 USD / year
Practical experience building Generative AI, LLM, or machine learning applications.
Added 17 mins ago
Postdoctoral Associate - Center for Biomedical Informatics and Health Artificial Intelligence
Rutgers University-New Brunswick
NJ
● Peer-reviewed publications on LLM-assisted systematic or scoping reviews, automated evidence synthesis, or scientific claim verification.
Added 18 mins ago
Sr. Machine Learning Engineer
Amazon.com Services LLC
Seattle, WA · Arlington, VA · New York, NY
…covering large-scale training systems, real-time inference and the LLM-based architectures that support next-generation GenAI workloads at Amazon Ads…
Added 18 mins ago
SDEII Specialist GenAI Tooling, Specialist Technology Team (STT), AWS WWSO SA Field Initiatives
Amazon Web Services, Inc.
Jersey City, NJ · New York, NY
…retrieval-augmented generation, multi-agent orchestration, and LLM evaluation at AWS scale, using the AI services AWS builds for its customers. You will also help raise the engineering bar…
Added 20 mins ago
Senior Data Scientist, Artist-First AI Music lab
Spotify
Remote, United States
You have significant hands-on experience in advanced analytics or data science, ideally in a domain involving LLM evaluation, user-generated content, or complex user behavior.
Added 21 mins ago
AI Operations, Applied AI Research and Design Developer
Apple
Cupertino, CA
Hands-on experience building AI applications on LLM APIs (prompting, structured outputs, RAG, or tool-using workflows) through coursework, research, internships, or projects, plus judgment…
Added 22 mins ago
Sr. Data Scientist
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Jersey City, NJ · Simsbury, CT · Philadelphia, PA
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Added 22 mins ago
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Sunnyvale, CA
Strong understanding with AI&ML & LLM concepts like RAG, Agentic Workflows, MCPs, Skills, AI Red Teaming, AI Guardrails and Secure AI development and deployment strategies.
Added 25 mins ago
Data Scientist
Fairview Health Services
Minneapolis, MN
…communicates evidence-based technical feedback. Generative AI and LLM capabilities complement the role’s core statistical and machine-learning…
Added 25 mins ago
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Software Engineer - Test Automation
KLA Corporation
Milpitas, CA
- $117,800 to $200,300 USD / year
Use intelligent algorithms, e.g. LLM, and business logic to find the root cause of software failures. Present them in an actionable manner through Power BI, dashboards, and other reporting…
Added 30 mins ago
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Practical experience with modern AI application stacks (e.g., LLM‑backed systems, agentic workflows, orchestration frameworks).
Added 33 mins ago
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Added 34 mins ago
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Added 36 mins ago
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Added 39 mins ago
Research Software Engineer
Dartmouth College
NH
…and engage with collaborators at scientific conferences and developer sprints are available for those who enjoy them and have content to…
Added 45 mins ago
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Phoenix, AZ
Job Title: AI Applications Developer (Senior/Lead)
Added 47 mins ago
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Sr Product Management Specialist, AI
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- $139,000 to $174,000 USD / year
…build innovative products that include Large Language Model (LLM) systems, autonomous agents, and advanced analytics…
Added 50 mins ago
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…throughout the software development lifecycle, with an emphasis on LLM-based, internally developed, and agentic AI applications. This position facilitates threat modeling, develops security…
Added 51 mins ago
SDEII Specialist GenAI Tooling, Specialist Technology Team (STT), AWS WWSO SA Field Initiatives
Amazon Web Services, Inc.
Jersey City, NJ · Austin, TX · Bellevue, WA · New York, NY · Houston, TX
…retrieval-augmented generation, multi-agent orchestration, and LLM evaluation at AWS scale, using the AI services AWS builds for its customers. You will also help raise the engineering bar…
Added 53 mins ago
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Added 55 mins ago
AIML - Sr Machine Learning Platform Engineer, Evaluation
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Developing LLM judges, reward models calibrated against human feedback.

GiveCampus

AI Platform Engineer

United States

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Job details

Posting language: English
Posted: Nov 6, 2026

Original job description

GiveCampus is the world's leading fundraising platform for non-profit educational institutions. Trusted by millions of donors and 1,300+ colleges, universities, and K-12 schools, our mission is to help advance the quality, the affordability, and the accessibility of education. At our current pace, we will facilitate $100 billion in charitable giving over the next decade–enough money to send more than 1 million students to college, tuition-free.

GiveCampus is backed by leading investors including Y Combinator, but we’re also practitioners of Sustainable Growth: we’ve made the Inc. 5000 list of America's fastest-growing private companies each of the last five years and we’ve been profitable nine of the last 10. In 2025, we celebrated a $140 million growth investment that included a major liquidity event for GiveCampus employees–the second in less than three years.

Our purpose-driven team of 130+ is located in 30+ states across the US: team members work from anywhere they choose. We have a beautiful 12,000sf office in Washington, DC that is available for people to use whenever they want, and we regularly organize team meet-ups, visit partner institutions, and host retreats in various locations.

While we operate at meaningful scale, we’re still small relative to the commercial and social good opportunities in front of us. Every GiveCampus employee plays a meaningful role in shaping what comes next, and we're growing the team in support of our ambitious plans–including a $100 million investment in AI product development. If you believe in the transformative power of education and want to join a fast-growing, mission-driven company, you’ll fit right in.

Location: This is a remote-first role based in the U.S. While we embrace flexible, distributed work, we also value in-person connection. Team members are expected to attend multiple company-wide and team-specific onsites throughout the year.

The role

GiveCampus has spent the last 18 months getting good at using AI. People use it every day, and we've shipped agents and apps that changed how work gets done: a codebase agent that answers questions no doc can, an RFP agent, a support knowledge bot, a feature request agent, and a data integrations assistant for our Partners.

Now, we are ready to take it to the next level. You'll design, build, and operate the next generation of AI Infrastructure at GiveCampus, including sources of company and Partner context, a clear model for who and what can access which data, a registry of what's already been built, memory that carries across agents, and the guardrails that let us move fast without losing track of what our agents are doing.

This is a platform role. You'll work alongside a product partner and co-builder (the AI Transformation Lead) who owns prioritization, stakeholder management, and adoption, so you can spend your time on architecture and engineering.

What we're driving

The AI Transformation team exists to change how GiveCampus operates, so that every team runs on connected workflows and agents by default, and output grows without headcount growing alongside it. Over the next year, that means:

Field teams spend most of their time with customers instead of on meeting prep, research, CRM updates, and follow ups
Every customer interaction is backed by context (school data, usage, relationship history, and peer benchmarks) delivered before the conversation starts
Managers act on AI generated briefings and alerts instead of assembling reports by hand
Finance, People, and Ops teams manage agents that run their recurring processes, stepping in only on exceptions and approvals
The enablement infrastructure and operating model that make the change last: standard toolkits, a governed agent lifecycle, and measurement of impact by department

You'll contribute directly to every one of these outcomes by owning the platform that makes them possible. The agents doing this work are only as good as the context, access, and controls underneath them, and that's what you'll build.

What you'll own

You'll start by building the foundation that makes the outcomes above possible. After that, the role grows with the company and with AI itself, so treat the later stages as direction, not a fixed scope.

First 6 months: build the foundation

Shared context and memory: one source of company and Partner knowledge that every agent reads from, so a change is made once and reaches every tool
Identity and access: auditable permissions for agents, one view of credentials and MCP connections, and a registry of what's already built
Governance: an evaluation gate before production, an audit trail, monitoring, and protection against prompt injection and data leaks, with build versus buy calls made alongside Infrastructure
A paved road for builders: templates and guardrails for Taskforce builders, plus measurement of impact by department

6 to 18 months: from platform to operating layer

Things like agents that run whole processes end to end, more autonomy for agents that have proven themselves, an internal deployment platform for apps and agents, and model and cost strategy.

Long term: an AI native GiveCampus

Things like becoming the technical lead for AI across the company, setting the architecture standards internal AI work builds on, and being a thought partner to Product and AI Product, sharing foundations where it makes sense.

What this role is, and what it isn't

Your primary focus is the platform. You'll own the architecture and the engineering, and you'll make the technical calls. On a small team, you'll also pitch in on adjacent work when it helps: a front end for an internal tool, an adoption build, or getting deep on a business workflow to understand what the platform needs to support. That work is shared, not yours alone. The AI Transformation Lead owns product decisions, prioritization, enablement, and change management, and builds adoption tooling alongside you.

What you bring

Must have

Six or more years of software engineering experience, including meaningful time owning platform, infrastructure, or backend systems in production
Hands on experience shipping LLM systems with real users: retrieval, tool use, evaluations, and MCP or similar integration patterns
Strong Python, plus experience with cloud infrastructure (AWS preferred), authentication, and observability
A security mindset: you think about access, data boundaries, and failure modes before something ships
A record of building internal platforms or shared services that other people adopted
Experience growing a system from an early version into something a whole company depends on
Appetite to grow into the technical lead for AI across the company
Real excitement about AI and a drive to keep learning: you follow what's new, try things early, and stay current. You don't need to know everything yet, but AI moves fast enough that this role only works if you're engaged with it
You judge your work by business results (hours given back to teams, faster cycle times, tools people use every day), not by what shipped
Comfort working from requirements set with a product partner, and the judgment to push back when the technical answer is different
Clear written communication with technical and non technical teammates

Nice to have

Experience with agent orchestration, multi agent systems, or agent governance tooling
Familiarity with Snowflake, dbt, or a semantic layer
Experience with Salesforce data and APIs
Time at a startup or small team where you were the first person to own a system

How we work

You'll report to the AI Transformation Lead. Together you form a small pod: they act as product lead and build for adoption, and you own the platform.

You'll partner closely with Engineering and Product through AI Plumbers, our cross team working group for AI architecture, agent orchestration, data access, and governance. You'll also work with our AI Taskforce, the builders in each department who will use what you build.

GiveCampus has a strong written culture built on Notion, Slack, and async work. We move quickly, document what we do, and give people real autonomy and direct access to leadership. We're remote first, and this role can be based anywhere in the US.

Why this role

The groundwork is done. People already use AI every day and we have working agents in production. You're building the layer that makes them work together.
Clear ownership. You own the platform, with a product partner who owns prioritization and adoption.
Room to grow. You'll start with the foundation and grow into the technical lead for AI at GiveCampus as the work and the field change.
Leadership investment. AI is a company priority, with executive sponsorship behind this work.
A mission that matters. GiveCampus helps schools raise money to advance education.

Ready to apply?

Be sure to keep an eye on your spam and promotions boxes in case our emails end up there!

At GiveCampus, we value diversity and we pledge to foster an environment of support, inclusivity, and learning, both on the job and throughout the application process. In this spirit, we encourage candidates of all backgrounds to apply.

GiveCampus is an Equal Opportunity Employer. Applicants and employees are not discriminated against because of race, color, creed, sex, sexual orientation, gender identity or expression, age, religion, national origin, citizenship status, disability, ancestry, marital status, veteran status, medical condition or any protected category prohibited by local, state or federal laws.

If you feel like you don't meet all of the requirements for this role, please apply anyways. We know confidence gaps and imposter syndrome often get in the way of connecting with incredible people, and we don't want them to prevent us from meeting you.

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More about this job

Skills

Prioritization
Stakeholder management
Research
Architecture regulations
Workflow
Change management
Python
AWS
Communication skills
Snowflake
dbt
Salesforce
Work as a team
Notion
Slack
Leadership

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