Founding Staff Software Engineer — AI Platform

Founding Engineering Team | Remote. www.claritri.ai

Help build the technology behind Claritri Claritri is building an AI-native enterprise platform that helps organizations decide what technology to invest in, fix, reduce, or retire. Large organizations spend hundreds of millions—or billions—on software, cloud services, vendors, hardware, contracts, and transformation programs. Yet leaders often lack reliable evidence about what creates value, introduces risk, wastes money, or deserves further investment. Claritri brings this evidence together. Our platform uses AI to analyze complex technology estates, uncover capital, reduce risk, simplify environments, and redirect investment toward growth. We are early, and we are looking for a senior hands-on engineer to help build the company and its core platform.

The opportunity You will be one of Claritri’s first senior engineers, working closely with our CTO and founding team. This is a hands-on founding-engineering role. You will design architecture, write production code, review pull requests, debug failures, deploy services, and operate what you build. You will move between backend services, frontend experiences, data models, AI workflows, cloud infrastructure, security, testing, and production operations. You will also help establish the engineering practices and technical foundations on which Claritri will scale. This is not primarily a people-management, project-management, consulting, DevOps-only, or architecture-governance role.

What you will build You will own major product capabilities from technical design through production, including:

• Multi-tenant enterprise SaaS architecture
• C# and ASP.NET Core services and APIs
• React and TypeScript product experiences
• PostgreSQL data models and enterprise data ingestion
• AI agents, LLM integrations, RAG and tool-calling workflows
• Document processing, grounding and structured outputs
• Analytics, dashboards, workflows and relationship visualizations
• Enterprise authentication, authorization, RBAC and tenant isolation
• Background workers, queues, retries and distributed workflows
• Google Cloud infrastructure, CI/CD and production observability
• AI evaluations, guardrails and human-approval workflows

What you must have demonstrated We care more about what you have personally built than your title or exact number of years in the industry. You should be able to demonstrate that you have:

• Personally built and operated substantial production software
• Shipped a complex product or platform used by real customers
• Recently written meaningful production code
• Designed backend services, APIs and relational data models
• Built asynchronous or distributed workflows involving retries, idempotency, failure recovery and observability
• Implemented authentication and authorization—not only reviewed their architecture
• Made important technical decisions while remaining involved in implementation
• Owned production incidents and the engineering improvements that followed
• Mentored engineers through code reviews, technical design and direct collaboration
• Worked effectively through ambiguity with limited process and incomplete information Experience in an early-stage product company, founding team, small autonomous product group, or similarly high-ownership environment is strongly preferred.

Technical experience Strong recent production experience with

C# and ASP.NET Core is highly preferred. We will also consider exceptional backend engineers from Java, Go, Rust or TypeScript environments who can demonstrate comparable platform experience and are prepared to become productive in C# quickly. You should have substantial experience with several of the following:

• C#, ASP.NET Core, REST APIs and asynchronous programming
• React, TypeScript and complex web applications
• PostgreSQL or comparable relational databases
• Cloud-native SaaS platforms and production operations
• OAuth 2.0, OIDC, JWT, RBAC and application security
• Distributed systems, queues, workers and event-driven processing
• Docker, infrastructure as code and modern CI/CD
• Automated testing and production-quality engineering practices
• GitHub, pull requests and collaborative code review You do not need previous experience with every technology in our stack, but you must have strong engineering fundamentals and evidence that you learn quickly.

AI engineering Claritri is an AI-native product. You should have personally built at least one meaningful LLM, RAG, agentic, document-intelligence, or AI-enabled workflow beyond a tutorial or demonstration. Relevant experience includes:

• LLM APIs and model integration
• AI agents and tool calling
• Retrieval-augmented generation
• Structured outputs
• Document ingestion and grounding
• AI evaluations and regression testing
• Guardrails and human-approval workflows
• Prompt-injection and sensitive-data protection
• Managing hallucinations, latency and reliability
• Monitoring token usage and operating costs You do not need to be an AI researcher. You must understand how to turn rapidly changing AI technology into reliable enterprise software.

Our technology environment

• Frontend: React, TypeScript, Vite, React Router, Tailwind CSS
• Backend: C#, ASP.NET Core, REST APIs, Entity Framework Core
• Data: PostgreSQL, Firestore, Google Cloud Storage
• AI: OpenAI APIs, agents, RAG, Vertex AI, document processing
• Cloud: Google Cloud Run, Cloud SQL, Cloud Tasks, Secret Manager
• Infrastructure: Docker, Terraform, GitHub Actions
• Testing: xUnit, Vitest, Testing Library, Playwright
• Delivery: GitHub, code reviews and Jira

Who will thrive here You may be an excellent fit if you:

• Like building more than talking about building
• Want substantial technical and product ownership
• Can move between implementation and system-level architecture
• Are comfortable making progress without a perfect specification
• Care about simple, maintainable systems
• Know when to build for scale and when to avoid over-engineering
• Enjoy working directly with founders, customers and product leaders
• Want to shape an engineering organization rather than inherit one
• Are excited about building a global enterprise software company from Singapore

This role is probably not for you if

• You primarily want to manage people, projects or vendors
• Your recent work has mainly involved consulting, governance or architecture documentation
• You no longer want to write substantial production code
• Your AI experience is limited to courses, certifications or demonstrations
• You prefer to own only one narrow layer of the technology stack
• You need a mature specification and established engineering organization before beginning work
• You are uncomfortable taking responsibility for production outcomes

Location Whilst Claritri is based in Singapore, the role is remote.

How to apply Apply at careers.claritri.com. Please include your résumé, LinkedIn profile, and—where available—a GitHub repository, product link, technical article, architecture sample, or other evidence of what you have built. We will ask you to describe:

• A meaningful production system you personally built
• A serious production problem you owned
• An AI capability you personally implemented
• Something valuable you initiated without being asked We care about direct, specific evidence. Tell us what you personally designed, implemented, shipped, learned, and improved.