Role Description As a Backend Engineer, you will design and build the services, APIs, data models, and infrastructure that power the company’s product. You will work primarily in Python and PostgreSQL while collaborating closely with product engineers, AI engineers, customers, and company leadership. This is not a narrow API-development role; you will work on production architecture, data systems, model integrations, security, reliability, and product capabilities. What you’ll do - Design, build, and maintain production backend services using Python - Develop APIs that support customer-facing applications and AI workflows - Design scalable relational data models using PostgreSQL - Build integrations with model providers, customer systems, and third-party platforms - Develop systems for asynchronous jobs, event processing, and long-running AI workflows - Deploy and operate services using AWS - Debug production issues across application, data, model, and infrastructure layers - Help shape backend architecture and engineering practices as the company grows Qualifications - Approximately 2–9 years of professional software engineering experience - Strong professional experience with Python - Experience designing and operating production APIs or backend services - Strong understanding of relational databases, SQL, and data modeling - Experience with PostgreSQL or a comparable production database - Familiarity with AWS, GCP, or another major cloud platform - Understanding of application security, authentication, and authorization - Experience debugging and operating systems in production - Ability to independently own technical projects from design through deployment - Comfort making pragmatic engineering decisions in an early-stage environment - Strong communication and cross-functional collaboration skills Nice to have (not required) - Experience building AI, LLM, agent, or machine-learning infrastructure - Experience integrating OpenAI, Anthropic, or other model providers - Familiarity with LLM evaluation, retrieval, embeddings, or vector databases - Experience with Docker, Kubernetes, Terraform, or CI/CD systems - Experience with Redis, Kafka, queues, or event-driven architectures - Experience building multi-tenant SaaS products - Previous experience at an early-stage startup - Experience with data-intensive or distributed systems

• Design, develop, and maintain scalable backend applications using Java • Contribute to microservices and API development • Support and develop applications using Golang where required • Collaborate with cross-functional teams to deliver high-quality solutions

• Hands-on production C# / .NET delivery across our pricing and customer-management products • Taking real ownership of the work you pick up — refining the detail, shipping it, and owning the outcome in production • Working closely with QA and our engineering lead as you deliver • Contributing to ways of working and spotting efficiencies within the team • Driving improvements in process and day-to-day efficiencies, in close collaboration with other tech leaders and engineering management

• Build full-stack components of the platform: Ruby web applications at scale, TypeScript/React front-end. • Build agentic workflows that enhance the SDLC for engineers across the platform. Evaluate and recommend improvements based on accuracy, latency, and cost. • Strengthen our platform and SDLC: build datasets, monitoring, tooling, practices and workflows that improve our developing and operating services in our ecosystem. • Improve production observability: work with product teams to ensure they are equipped to effectively monitor the performance and reliability. • Help steer architectural and technical direction to ensure our applications follow cohesive and consolidated standards that ensure a high-level of quality and reliability • Actively partner with other product teams to understand use cases and identify how to best enable and support them. • Advise on best practices across platform use cases, service observability, maintenance and operation.