Asteri AI, Inc. - Full Stack Engineer
Responsibilities
• Design and deliver scalable full-stack systems, including backend services, APIs, and interactive web applications • Build and evolve backend services with clean, well-documented APIs and strong observability, reliability, and performance • Develop intuitive frontend experiences that provide visibility into workflows, orchestration state, permissions, and operational insights • Implement workflow and orchestration logic that coordinates tasks between humans and AI systems, including policies, retries, SLAs, and auditability • Integrate internal and external systems (e.g., enterprise tools, data sources, third-party APIs) to support end-to-end workflows • Ensure production readiness through strong testing practices, CI/CD pipelines, monitoring, and operational best practices • Collaborate closely with product, AI, platform, and enterprise customers to translate requirements into robust, maintainable solutions • Contribute to architectural decisions and continuously improve system scalability, maintainability, and developer experience • What Will Make You Successful • Must-Haves • Must-Haves • 7+ years of experience as a software engineer building and operating production web applications • Experience developing secure enterprise applications, with preference for regulated industries • Strong backend development experience (e.g., Python with FastAPI or Django, or Node.js with TypeScript) • Solid experience building modern frontend applications (e.g., React with TypeScript) • Experience designing and consuming APIs and working with relational databases (e.g., Postgres) • Strong engineering fundamentals, including automated testing, code reviews, debugging, and performance optimization • Experience deploying and operating applications in cloud environments (AWS, Azure, or GCP) • Ability to take ownership of projects end-to-end in a fast-moving startup environment • Nice-to-Haves • Nice-to-Haves • Experience working with AI-enabled products or ML-powered systems • Familiarity with workflow orchestration, state machines, or event-driven architectures • Experience with containerization and infrastructure tooling (Docker, Kubernetes, Terraform) • Exposure to enterprise requirements such as SSO, RBAC, audit logging, or compliance • Experience working in regulated or security-conscious environments • Interest in building developer tools, productivity platforms, or enterprise software
Benefits
• Build the core product of an AI-native work orchestration platform used by global enterprises. Work with a senior leadership team with high autonomy and real ownership. Competitive compensation with remote-friendly culture, and a pragmatic, safety-first approach to building AI systems that work in production.
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