Staff Forward Deployed Engineer, AI Sim

SandboxAQ is a high-growth company delivering AI solutions that address some of the world's greatest challenges. As a Senior Forward Deployed Engineer within the AI Simulation group, you will act as the primary technical bridge between core Large Quantitative Models and client contracts, ensuring the technical enablement and success of critical partnerships.

Responsibilities:

• Orchestrate Technical Delivery: Partner with scientific teams to audit workflows, diagnose technical blockers, and take full accountability for the end-to-end technical execution of client contracts
• Architect and Develop Solutions: Design and deploy high-velocity code to extend existing tools, or build new frameworks for wrapping scientific logic and automating complex R&D workflows
• Drive Cross-Functional Collaboration: Serve as the technical translator between non-technical researchers and product teams, validating proposed solutions and ensuring they meet rigorous scientific requirements
• Scale and Optimize Infrastructure: Own the deployment and maintenance of cloud-based compute resources and data pipelines, ensuring stability and performance throughout the contract lifecycle
• Pioneer Technical Integration: Lead the integration of internal core technologies, such as LQMs and Agentic systems, into bespoke client environments to solve major scientific challenges

Requirements:

• 7+ years of professional software development experience, with deep proficiency in Python and modern architectural patterns
• Proven ability to operate independently in high-ambiguity environments, moving from ideation to functional code with high velocity
• Hands-on experience with cloud orchestration (Kubernetes, Batch systems) and workflow management tools like Airflow
• Technical expertise in building REST APIs, managing database systems (ORMs, schemas), and utilizing Infrastructure as Code (Terraform)
• Entrepreneurial mindset with a track record of shipping systems in fast-moving, customer-facing environments
• Domain expertise in drug discovery, cheminformatics, or advanced materials
• Experience delivering scientific code for R&D projects involving simulation or numerical optimization
• Familiarity with High-Performance Computing (HPC), GPU programming, and optimization
• Exposure to AI applications involving knowledge graphs, AI agents, or multi-agent systems