Senior Backend Software Engineer

Summary

Join SandboxAQ as a founding backend engineer to build the core of its Agentic AI platform, a mission-critical software stack at the intersection of next-gen AI, large-scale simulation, and scientific discovery. You will define and ship the agentic infrastructure that enables autonomous systems to solve real-world problems in drug design, materials science, and chemistry at scale. This role requires designing and owning the architecture of intelligent agents, prototyping quickly while maintaining production code, developing multi-agent orchestration frameworks, and owning software components through their entire lifecycle. You will also build scalable APIs and data systems, integrate observability and performance analytics, contribute to data processing and storage systems, and collaborate with the product team. The ideal candidate is obsessed with data, a great communicator, and has experience in CI/CD, infrastructure as code, API design, and databases. Experience with AI systems, especially LLMs and agentic systems, is a plus.

Requirements

• Strong interest in agentic AI, autonomous agents, and multi-agent system design
• 5+ years of experience with Python, with strong knowledge of software design principles
• Understanding of database principles and best practices
• Experience with writing and optimizing database queries, graph database experience is a plus
• Strong understanding of web and network fundamentals and experience with designing, building, and testing web APIs
• Comfort with agentic frameworks, orchestration tools (LangGraph, Haystack, CrewAI, OpenAI Function Calling, etc.), or custom agent architectures is highly desirable
• Knowledge of CI/CD best practices and building CI/CD pipelines
• 3+ years of fluency in infrastructure as code (Terraform), and containerized deployments on public cloud providers. GCP preferred
• Experience with building frontends for web applications
• You care deeply about developer experience; clean code, clear APIs, and great internal tools
• Excellent communication and collaboration skills, with the ability to effectively influence a cross-functional team

Responsibilities

• Design and own the architecture of intelligent agents that autonomously coordinate and drive complex scientific pipelines
• Prototype quickly while thinking long-term with an eye towards maintaining production code, balancing experimental iteration with robust system design
• Develop multi-agent orchestration frameworks and autonomous workflows for simulation and modeling under the guidance of a Tech Lead
• Own software components through their entire lifecycle: design, implementation, testing, deployment
• Design, implement, and scale agentic systems—including autonomous, goal-driven agents and multi-agent workflows—to enable users to configure, monitor, and scale large chemical simulations and scientific pipelines
• Build scalable, production-ready APIs and data systems that interact with simulations, ML models, external APIs, and other agents
• Integrate observability, traceability, and performance analytics into everything you build; your code will tell a story about how it performs and improves
• Contribute to the design and implementation of complex, security-sensitive data processing and storage systems with complex tenancy and data isolation requirements
• Collaborate closely with the product team and internal stakeholders in all phases of software development to validate the solutions you propose and implement
• In collaboration with the rest of the engineering team, build and manage infrastructure for SandboxAQ’s simulation and data platform
• Enhance CI/CD pipelines to improve developer experience and velocity
• Review code and participate in design and architectural discussions

Preferred Qualifications

• Experience building or integrating agentic systems (e.g., LangGraph, CrewAI, AutoGen, or custom multi-agent orchestration frameworks)
• Familiar with FastAPI, RAG, vector DBs, graph databasess or semantic memory architectures used in agentic AI.)
• Exposure to simulation workflows, chemistry/biotech, or scientific computing,, or automated lab software
• Experience with CircleCI
• Familiarity with python packaging tools ecosystem, wheels, conda, etc

Benefits

• Medical/dental/vision
• Family planning/fertility
• PTO (summer and winter breaks)
• Financial wellness resources
• 401(k) plans
• Competitive salaries
• Stock options depending on employment type
• Generous learning opportunities