AI Builder Intern Job at Scale (San Francisco, CA)

Internal AI Builder

Mews runs on systems and processes built across Finance, HR, IT, Legal, and Oper...

Location

Salary:

75000.00 - 110000.00 EUR / Year

Mews

Expiration Date

Until further notice

Requirements

Seven or more years delivering production software with measurable business outcomes in a product-driven company
experience in a high-growth SaaS or scale-up environment strongly preferred
Demonstrated ability to operate at senior IC level without dedicated product managers or designers — independently defines scope, navigates ambiguity, makes architecture trade-offs, and owns delivery and outcomes end-to-end
Hands-on experience building integrations against enterprise SaaS APIs across HR, Finance, or IT platforms (Workday, Microsoft 365, Atlassian, or equivalent), including workflow automation, event-driven logic, and document processing
Fluency with LLM APIs and production AI workflows: demonstrated experience shipping agents, document processing pipelines, Q&A systems, or AI-assisted automation in a real operational context, not prototypes
Track record of leading complex, cross-functional automation initiatives with direct operational impact
prior experience working closely with Finance, HR, or IT functions is a meaningful advantage
Active practitioner of modern AI development tools including Claude, Lovable, Cursor, or equivalent
familiarity with agent frameworks, MCP integrations, RAG pipelines, and workflow automation tooling
Ability to think at systems level: understands how internal processes connect across the business, the compliance and security implications of automation in sensitive functions, and designs tooling that is robust, auditable, and safe

Job Responsibility

Own end-to-end delivery of AI and automation initiatives across Finance, HR, IT, Legal, and Operations, from stakeholder problem definition and scoping through production release and measurable impact, operating without dedicated product management or design support
Identify, prioritise, and build the highest-leverage automation opportunities across internal functions: examples include financial close automation, employee self-service workflows, IT access provisioning and offboarding pipelines, contract review assistance, and policy Q&A agents
Design and ship AI-powered systems that replace manual internal processes, including document processing pipelines, approval automation, data extraction and reporting, HR workflow orchestration, and compliance evidence collection for SOC2, ISO and similar frameworks
Engage directly with functional leaders (Finance, HR, IT, Legal) and their operational teams to identify build priorities, translate operational pain into technical scope, and maintain alignment on delivery cadence and outcome metrics
Build rapidly and iterate based on real feedback: prototype in days, ship to production in weeks, and establish a pattern of continuous improvement rather than polished one-time releases
Make pragmatic use of AI development tools, LLM APIs (Claude, OpenAI), and cloud-native integrations, solving problems at scale without reinventing infrastructure that already exists across the Microsoft 365, Workday, and Atlassian ecosystems
Establish reusable patterns, services, and frameworks that give internal functions self-serve automation capability and reduce future build time on adjacent problems
Set technical direction for internal AI tooling, make and document architecture decisions, and champion AI-native practices through code review, pairing, and direct coaching of engineers and operations staff who want to build more effectively
Define and communicate technical decisions in clear, non-technical terms to leadership and cross-functional stakeholders, maintaining alignment and influencing investment priorities across the business

What we offer

Participation in our company share program
Best-in-class parental leave (6 months fully paid for primary caregivers, 2 months for secondary, available within your first year)
Unlimited paid holiday (yes, really)
Work from anywhere - enjoy the flexibility to work from other countries for a few weeks each year through our compliant and flexible Workation policy
Relocation options available after 1 year
Monthly "EDGE" time - dedicated to Explore, Develop, Grow, and Elevate yourself
Flexible, hybrid working options
One-off home office setup budget to make your workspace your own
Monthly working-from-home and healthcare allowances (where local healthcare benefits are not in available)
Regional healthcare coverage

Fulltime

Technical Content & AI Automation Intern

We’re looking for a highly motivated summer intern to help evolve Proscia’s cont...

Location

United States , Philadelphia

Salary:

Not provided

Proscia

Expiration Date

Until further notice

Requirements

Currently pursuing a degree in Technical Communication, Information Science, Biomedical Engineering, Health Informatics, or a related field
Demonstrated practice with LLMs and AI agents — you've built, prototyped, or shipped something with them in academic or personal work, and can speak specifically to what worked, what didn't, and why
Excellent written communication skills with attention to structure, clarity, and usability
Analytical mindset with the ability to break down complex systems into modular components
Comfort working with structured content systems, APIs, or technical platforms (experience with XML, DITA, or CCMS tools is a plus)
Ability to work independently in ambiguous environments and take ownership of projects
Interest in healthcare, life sciences, or regulated environments (preferred but not required)
A builder's instinct — you ship rough versions, gather real feedback, and use AI and automation to get more shots on goal

Job Responsibility

Contribute to automated publication pipelines that pull from engineering systems and assemble release-ready content, applying principles of collaborative automation
Prototype LLM-powered authoring assistants — tagging, classification, content quality checks — integrated directly with our content management system's API
Design metadata structures that scale with our regulatory footprint and make our content legible to AI agents — the prerequisite for the in-product AI experiences our customers will increasingly rely on
Decompose composite documentation into modular building blocks that automated pipelines and AI agents can assemble reliably using modern tooling to accelerate the analysis without losing editorial judgment
Apply WCAG-aligned authoring practices to bring documentation into compliance — including validating AI-generated alt text with the editorial eye to know when the model got it wrong
Partner with product, engineering, and customer-facing teams to ground content decisions in real user workflows
Audit and propose a library structure that's navigable for humans and dependable for automated pipelines
Help build high-leverage assets — in-app guidance, role-based learning paths, AI-consumable content — assembled from the modular building blocks you're creating

Ai Agent Builder

About Mirakl: Founded in 2012, Mirakl has been at the forefront of marketplace i...

Location

United States , Boston

Salary:

150000.00 - 190000.00 USD / Year

Assessfirst

Expiration Date

Until further notice

Requirements

5 plus years of experience as a Data Scientist, ML Engineer, or Software Engineer, with a background in backend/full-stack development, data, or automation workflows
Proven experience building AI agents using LLMs, RAG, MCP and related technologies, including architectural design of multi-step agentic workflows
Proficient in Python and data fundamentals (SQL, JSON, data modeling)
Production deployment expertise, you've shipped AI solutions in production
Experience with API integrations, MCP, webhooks, and connectors
Experience with low-code/no-code automation platforms (n8n, Make, Zapier or equivalent)
Curiosity and continuous learning, you stay current with AI/ML trends and love exploring new technologies
Strong communication skills in both English and French

Job Responsibility

Design, build, and scale internal AI agents that integrate with company systems, automate workflows, and deliver measurable operational impact
Design & Build AI Agents
Create workflow-driven AI agents (e.g., BDR, Contract, Accounting agents)
Architect multi-step agent systems including prompts, tools, memory, and guardrails
Rapidly prototype solutions and evolve them into production-grade products
Integrate Across the Stack
Connect agents to internal systems (CRM, data platforms, Drive, Jira, etc.)
Enable agents to perform real actions (e.g., update CRM, generate reports, create tickets)
Ensure reliable orchestration between APIs, tools, and data sources
Iterate for Impact

What we offer

Health
Dental
401(k) match plan
Commuter
PTO

Fulltime

Staff AI Product Builder

You are a Staff level full-stack builder who is both AI-native and product-minde...

Location

United States

Salary:

154000.00 - 237000.00 USD / Year

Brightwheel

Expiration Date

Until further notice

Requirements

5+ years of professional software engineering experience, with clear ownership of medium-to-large production systems from problem statement and design doc through launch and iteration
A proven track record of shipping AI-powered products to production, with concrete examples where LLMs meaningfully improved a metric like engagement, time saved, satisfaction, or retention across one or more product areas
Hands-on experience with large language models (LLMs) in real applications, including prompt and tool design, retrieval-style patterns (such as RAG), and evaluation and monitoring in production
Strong computer science fundamentals (e.g., data structures, algorithms, and systems design) and a generalist mindset, comfortable moving between backend, data, and UX to get the job done
Backend engineering skills in at least one modern web stack (such as Ruby on Rails, Python, Go, or Node), plus confidence with relational databases and larger datasets, from data modeling to performant queries and analytics
Experience building modern web front-ends, ideally with React or a similar component-based framework

Job Responsibility

Design and build cross-cutting AI services (such as retrieval, context, evaluation, and guardrails) that power multiple product areas like classroom workflows, billing, and family communication
As a hybrid PM+Eng+Data builder: own the end-to-end product loop for the problems you take on: talk to customers and internal teams, define the success metric, design the workflow and user experience, shape the data and evaluation plan, and ship iterative releases from prototype to reliable, scalable production
Create shared abstractions and tooling for AI – for example, common prompt and tool patterns, logging and monitoring, and reusable components – so other engineers can build on a consistent foundation
Shape our data and system architecture so AI can safely stitch together longitudinal signals across product, billing, support, and operations and recommend what should happen next, not just report what happened
Lead by example in AI-augmented engineering, using AI to multiply your own speed, mentoring L2/L3 engineers, and raising the bar for how we design, ship, and operate AI-powered features

What we offer

Comprehensive medical, dental, and vision coverage
Generous paid parental leave
Flexible PTO so you can recharge when you need it
Local retirement or savings plans (e.g., 401(k) in the U.S.)
Offers Equity

Fulltime

AI Native Product Builder

This is an exciting new role in our team that will act as the bridge between an ...

Location

United Kingdom

Salary:

45000.00 - 55000.00 GBP / Year

Vypr

Expiration Date

Until further notice

Requirements

Experience working in a technology start-up or scale-up environment
Experimented with AI tools and have a demonstrable interest in this area
Developed and refined prompts for AI systems to achieve the desired outputs
Hands-on experience working with and training commoditised ML models

Job Responsibility

Horizon scanning for new AI opportunities in the tech-enabled research space
Manage a pipeline of AI opportunities from early idea exploration through to integration
Identify off-the-shelf tools and models that can be used to solve customer or internal business problems
Run experiments, build prototypes and trial AI tooling
Train and monitor/optimise models to ensure they are as accurate as possible
Develop E2E processes and agentic workflows for building AI into existing Vypr processes
Work as part of a multi-disciplinary agile team to integrate AI solutions into Vypr Predict
Keep the wider company abreast of advances in AI and competitive landscape
Develop internal tools and skillsets that take advantage of new technology

What we offer

Hybrid working
Company paid medical cashplan
Enhanced annual leave
Access to a global benefits and reward platform
Access to Well-being support, including an Employee Assistance Programmes
Life Assurance
Day off on your birthday
Volunteering day
Enhanced parental leave

Fulltime

Product Builder

At Mews, we’re redefining how hospitality works, and that includes rethinking ho...

Location

Salary:

Not provided

Mews

Expiration Date

Until further notice

Requirements

7 years of experience delivering customer-facing software with measurable business outcomes
Experience as a senior engineer in a product-driven company (startup, founder, or scale-up experience preferred)
Track record of leading large-scale initiatives across functions, systems, or product areas
Strong product instincts - you care about the problem as much as the implementation
Comfortable defining scope, navigating ambiguity and making trade-offs in real time
Take ownership well beyond your code - into customer outcomes, product success and system sustainability
Experience operating without dedicated Product Managers or Product Designers, or a strong proven ability to do so
Demonstrated ability to define and deliver product strategy without top-down direction
Consistently lead by example: whether by coaching, elevating team standards, or proactively unblocking others
Recognized as a leader in AI-native development, with a proven ability to evaluate, adopt and scale emerging tools (e.g., agents, orchestration, autonomous testing) across teams

Job Responsibility

Take end-to-end ownership of product initiatives - from problem definition to prototype to production
Build rapidly, ship often and iterate based on real feedback
Lead the design and implementation of systems that power: Product-led growth mechanics, Intelligent onboarding and automation workflows, Multi-property operational tooling and business intelligence, AI-powered Smart Tips and co-pilot product features
Work closely with Product Managers and Designers to stay aligned on direction without being dependent on them for day-to-day execution
Operate as a self-contained unit: making decisions, running experiments and owning delivery
Set a high bar for technical and product quality
Mentor Engineers who wish to become Product Builders and other Product Builders to drive adoption of modern development practices
Champion AI-native development across the team
Make pragmatic use of cloud-native platforms, integrations and managed services
Lead the discovery and delivery of complex, cross-cutting initiatives with broad business and customer impact

What we offer

Participation in our company share program
Best-in-class parental leave (6 months fully paid for primary caregivers, 2 months for secondary, available within your first year)
Unlimited paid holiday (yes, really)
Work from anywhere - enjoy the flexibility to work from other countries for a few weeks each year through our compliant and flexible Workation policy
Relocation options available after 1 year
Monthly 'EDGE' time - dedicated to Explore, Develop, Grow, and Elevate yourself
Flexible, hybrid working options
One-off home office setup budget
Monthly working-from-home and healthcare allowances

Program Manager, Bank Partnerships Marketing

Block is one company built from many blocks, all united by the same purpose of e...

Location

United States , Bay Area

Salary:

122900.00 - 184300.00 USD / Year

Block

Expiration Date

Until further notice

Requirements

Bachelor's degree
minimum of 5 years of program or product operations management in FinTech, issuing, banking, or regulated industries, with direct experience shepherding materials through bank or partner approvals
ability to manage multiple concurrent initiatives with competing timelines and priorities
strong program management skills with experience delivering complex initiatives on time
grasp of bank/network marketing and brand guidelines and the broader regulatory landscape for consumer communications in financial services
experience designing and improving scalable workflows and governance (intake, SLAs, approval matrices, playbooks) and implementing tooling (e.g., workflow/orchestration, ticketing, documentation)
stakeholder management and communication skills
can influence without authority across internal and external partners
practical experience applying AI/automation to business processes (e.g., LLM-assisted review, classification, templating, or rules engines) with measurable impact
a builder's mindset

Job Responsibility

Support the Bank Partnerships Marketing Collateral Review program end-to-end
coordinate submissions, clarify requirements, negotiate timelines, and facilitate bank approvals
support partner engagement with banks and networks
build and maintain relationships with partner account managers
stay current on partner marketing guidelines and feedback trends
translate partner input into clear guidance for internal stakeholder review
enable cross-functional alignment to speed approvals
work closely with Marketing, Creative, Product, Engineering, Legal, Compliance, Risk, Operations, and Brand to translate bank and network feedback and approval conditions into internal review-ready guidance
proactively improve the system
identify bottlenecks and failure modes

What we offer

Remote work
medical insurance
flexible time off
retirement savings plans
modern family planning

Fulltime

Engineering - Internal AI Transformation

About the role Application About ElevenLabs ElevenLabs is an AI research and pro...

Location

Salary:

Not provided

ElevenLabs

Expiration Date

Until further notice

Requirements

Proven experience building and shipping automations or applications in production
AI-First Instincts: Strong familiarity with LLM capabilities, prompting strategies, RAG patterns, and a genuine passion for building agentic workflows
Deep Backend Expertise : Strong Python and SQL and system design patterns (APIs, webhooks, orchestration layers)
A systems-thinking mindset : you design with security, auditability, and blast radius in mind from the start
Builder and AI-First instincts: you don't wait to be told what to build - you spot the pattern, propose the fix, and ship it
Infra & DevOps Instincts: Hands-on experience operating cloud infrastructure (GCP preferred), Kubernetes, Docker, and enterprise authentication flows

Job Responsibility

Designing and iterating on AI agents and workflow orchestrations using tools like ElevenAgents, Claude, and n8n
Integrating AI systems with our core business stack - Salesforce, Slack, Ashby, and more
Building reusable automation services, patterns and shared templates that multiply the output of every team you touch
Owning experiments end-to-end: spotting the opportunity, building the solution, and measuring the impact
Developing evaluation and monitoring frameworks so our AI-native workflows are reliable, auditable, and safe

What we offer

Innovative culture
Growth paths
Learning & development: annual discretionary stipend
Social travel: annual discretionary stipend
Annual company offsite
Co-working: monthly co-working stipend

Fulltime

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AI Builder Intern

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