Staff Backend Software Engineer, Agentic AI

About the Role

This is not a typical backend engineering position but a founding opportunity to define the architecture culture and values of a frontier agentic AI platform. As the first backend engineering hire on our Agentic AI team you will shape and build the systems that allow intelligent agents to autonomously execute complex scientific workflows interact with real-world systems and learn over time. Youll be working with a team of world-class scientists and engineers in a high-talent no-ego environment.

We are seeking someone who is both ahigh-agency builder and a reflective technologist and a person who can write beautiful scalable code and pause to ask: What are the long-term consequences of these architectural decisions

As an ideal candidate you are obsessed with data and have experience building observability and metrics into and around the software youre writing. You are a great communicator who uses this data to demonstrate the impact of the software youre writing and influence its adoption. Youll bring broad experience in CI/CD infrastructure as code API design application code and databases. Most importantly youll bring a track record of working in a small fast-moving software development team exploring new technologies and solving problems across an entire software stack. Experience in designing building and deploying AI systems especially in LLMs and agentic systems (multi-agent orchestration autonomous workflow engines or goal-oriented agents) is a bonus.

What Youll Do

• Architect and implement intelligent agents and multi-agent orchestration systems that enable goal-driven automation in scientific research.
• Design and build APIs workflows and systems that interface with simulations ML models third-party tools and other agents all while ensuring transparency and safety in their behaviors.
• Champion observability traceability and reliability making sure every line of code is measurable and maintainable.
• Collaborate with AI researchers and domain scientists to prototype agent behaviors in real-world pipelines and evolve prototypes into robust production systems.
• Drive internal engineering standards infrastructure decisions and deployment best practices for a research-informed and ethically grounded development process.
• Contribute to the broader AI and scientific software community through open-source contributions publications or educational initiatives as time allows.

About You

• You are an engineering leader (formally or informally) who thrives on turning nascent ideas into working software that scales.
• You are deeply curious about intelligent systems and how to make them interpretable auditable and aligned with human intent.
• 5 years of professional software development experience ideally with Python as a primary language.
• Experience building complex distributed systems RESTful APIs and performant backend services.
• Proficient in data modeling query optimization and have worked with relational and graph databases.
• Strong foundation in DevOps CI/CD and infrastructure-as-code practices (e.g. Terraform Docker GCP preferred).
• Familiarity with agentic AI frameworks (e.g. LangGraph CrewAI AutoGen) or orchestration patterns for multi-agent systems.
• Strong communication and collaboration skills able to translate abstract requirements into architecture and architecture into code.
• Passionate about building responsibly you think critically about failure modes edge cases and ethical implications of autonomous systems.

Nice to Have

• Previous experience in agentic system design reinforcement learning or LLMs.
• Exposure to biotech chemistry or simulation domains or scientific computing environments.
• Contributions to open-source publications in AI ethics or human-AI collaboration or involvement in standards development.

Why Join Us

SandboxAQ offers the rare combination of startup energy scientific ambition and mission-driven impact. Here your work will contribute to platforms used by world-class researchers government institutions and scientific labs accelerating discovery in ways that shape the foundation of how agentic AI evolves in high-stakes environmentsand help ensure it evolves wisely.

The US base salary range for this full-time position is expected to be $183K - $256K per year. Our salary ranges are determined by role and level. Within the range individual pay is determined by factors including job-related skills experience and relevant education or training. This role may be eligible for annual discretionary bonuses and equity.