Build applied AI systems that measure, reason and improve real business workflows.
Join GoMeasure AI to build AI interview systems, enterprise RAG, model evaluation, agentic workflow products, cloud AI infrastructure and managed AI operations for education, recruitment, BFSI, GCCs and enterprise teams.
What you will build
Core systems that become both GoMeasure products and reusable AI service frameworks.
Build the operating layer between business workflows, models, data and outcomes.
We are a small team building serious AI systems. The first team will shape the product, architecture, delivery playbooks and service frameworks.
Build core AI products
Work on GoMeasure AI Interview, evidence-backed reports, AI review consoles and reusable product systems.
Work on real enterprise AI
Build RAG, model evaluation, AI Ops, cloud deployment and agentic workflows for actual customer use cases.
Small team, high ownership
Early team members will own architecture, frameworks, delivery quality and reusable IP.
Product + services learning
Build internal products first, then use those frameworks to deliver AI consulting and implementation work.
Where you can contribute.
GoMeasure AI is being built as an AI product and AI services company. Every role should strengthen reusable core technology.
AI Product Engineering
Contribute to product delivery, customer pilots and reusable AI frameworks.
Data, RAG & ML/Ops
Contribute to product delivery, customer pilots and reusable AI frameworks.
Cloud & AI Infrastructure
Contribute to product delivery, customer pilots and reusable AI frameworks.
Product, UX & Delivery
Contribute to product delivery, customer pilots and reusable AI frameworks.
Growth & Partnerships
Contribute to product delivery, customer pilots and reusable AI frameworks.
First team roles we genuinely need.
These roles support the GoMeasure AI Interview product first, then become the in-house nucleus for AI consulting, product engineering, RAG, model evaluation, cloud and managed AI operations.
AI Product / Full-Stack Engineer
Build GoMeasure AI Interview product, admin builder, candidate room, recruiter dashboard, APIs and workflow systems.
- React / Next.js
- TypeScript
- Node / NestJS
- PostgreSQL
- Product thinking
Data + ML/Ops Engineer
Build RAG pipelines, model evaluation systems, scoring logic, prompt testing, benchmark datasets and AI quality monitoring.
- Python
- LLM APIs
- RAG
- Vector DB
- Evaluation
Cloud / AI Infrastructure Engineer
Build cloud deployment, CI/CD, storage, monitoring, security baseline, cost tracking and production AI infrastructure.
- AWS / GCP / Azure
- Docker
- CI/CD
- S3
- Observability
Product Manager / AI Business Analyst
Convert AI services and product ideas into PRDs, workflows, user journeys, acceptance criteria and customer-ready documentation.
- Workflow mapping
- PRD
- SaaS
- Client coordination
- AI curiosity
QA + AI Evaluation Analyst
Test product flows, AI outputs, scoring quality, edge cases, reports and regression behavior for every release.
- Manual QA
- AI output review
- Test cases
- Rubric testing
- Detail orientation
Founder Office / Growth Associate
Support founder-led GTM, customer research, sales collateral, LinkedIn content, partner mapping and early customer operations.
- Research
- Writing
- CRM
- Outreach
- Execution
AI-first execution. Evidence over opinion. Product quality over buzzwords.
We use AI tools daily, but we judge outcomes through working software, measured model behavior, customer workflow impact, reliability, cost and user experience.
Practical proof of work matters more than resume keywords.
Our hiring flow is designed to understand whether someone can build, reason, document and improve real AI systems.
Profile review
We review experience, projects, ownership and alignment with GoMeasure work areas.
Short practical task
A focused task based on product, AI, cloud, QA, content or workflow thinking.
Technical discussion
Discussion around approach, trade-offs, architecture, quality and practical delivery.
Founder discussion
Alignment on ownership, pace, culture, learning, ambition and role expectations.
Offer & onboarding
Start with clear outcomes, product context and first 30-day deliverables.
Want to build applied AI with us?
If you are excited about AI products, enterprise workflows, RAG, model evaluation, cloud AI infrastructure or AI operations, send your profile. We are looking for builders who can work with ambiguity and produce real outcomes.