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Salary
≈ $133k – $229k per year (Estimated)
Location
Remote (United States)
Seniority
Senior · 7+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Oct 27, 2026. First seen by Alion on Jan 7, 2026. Asteri scores B on the Alion truth index.

Overview
Company
Impact
Profile match
The AI Operating System for Life Sciences. Asteri is the infrastructure to orchestrate work between humans and AI — governed, traceable, accountable.

About Us

Asteri is an AI-native Work Intelligence and Orchestration Platform that gives large enterprises the intelligence to understand how work is performed today and how it should be performed in the era of AI, eliminating inefficiencies and identifying high-impact opportunities for AI augmentation. Our platform orchestrates AI and human work with enterprise-grade governance, auditability, and measurement built for production environments at scale.

The Role

As a Full Stack Engineer at Asteri, you will design, build, and scale core product capabilities across backend services and frontend interfaces that power our AI-native enterprise platform. You will work on systems at the intersection of enterprise workflows, AI agents, and human-in-the-loop processes, with a strong focus on reliability, clarity, and usability.

This is a hands-on role with meaningful ownership over production systems used by large enterprise customers.

What You’ll Do

  • 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

  • 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

  • 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

Why Join Us

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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