Asteri AI, Inc.

AI-native Work Intelligence Platform helping F100 enterprises understand how work actually happen across a company.

Full Stack Engineer

Full-stack EngineerSoftware EngineerFull TimeRemoteTeam 11-50Since 2021Company SiteLinkedIn

Location

United States

Posted

15 days ago

Salary

Not specified

Bachelor Degree7 yrs expEnglishAWSAzureCloudDjangoDockerGoogle Cloud PlatformJava ScriptKubernetesNode.jsPostgre SQLPythonReactTerraformType Script

Job Description

• 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

Job Requirements

  • 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
  • Experience working with AI-enabled products or ML-powered systems (Nice-to-Haves)
  • Familiarity with workflow orchestration, state machines, or event-driven architectures (Nice-to-Haves)
  • Experience with containerization and infrastructure tooling (Docker, Kubernetes, Terraform) (Nice-to-Haves)
  • Exposure to enterprise requirements such as SSO, RBAC, audit logging, or compliance (Nice-to-Haves)
  • Experience working in regulated or security-conscious environments (Nice-to-Haves)
  • Interest in building developer tools, productivity platforms, or enterprise software (Nice-to-Haves)

Benefits

  • Competitive compensation with remote-friendly culture
  • High autonomy and real ownership

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