Senior Software Engineer – Applied AI Systems jobs in United States
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Symbolica AI · 45 minutes ago

Senior Software Engineer – Applied AI Systems

Symbolica AI is an AI research lab focused on applying category theory to enhance logical reasoning in machines. The Senior Software Engineer will be responsible for transforming research prototypes into production-quality systems, working closely with various teams to ensure effective execution and delivery of projects.

Artificial Intelligence (AI)Software
Hiring Manager
Davon K.
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Responsibilities

Translate research prototypes and high-level concepts into production-quality software
Own deliverables end-to-end: take specifications, clarify requirements, and execute to completion
Build systems that are correct, reliable, maintainable, and performant
Work closely with ML researchers and engineers to integrate research outputs into functional systems
Own critical engineering tasks with high standards and attention to detail — data pipelines, API integrations, testing, error handling, system integration, and more
Participate in code reviews, technical discussions, and architecture planning
Contribute to improving processes for how we build, ship, and deliver features across teams

Qualification

Production-quality codeFull-stack systemsLLM architecturePythonGoMicroservicesData pipelinesMulti-agent systemsRustML infrastructureRapid prototypingAPI integrationsError handlingSystem integrationTechnical discussionsArchitecture planningAttention to detail

Required

5+ years of hands-on software engineering experience
Proven ability to execute on incomplete specs and drive projects to completion
Strong experience writing production-quality code (Python/Go, knowledge of Rust is a plus but not mandatory)
Comfortable building full-stack systems (APIs, data pipelines, microservices, internal tools)
High standards for code quality, maintainability, and correctness
Comfortable in fast-moving, ambiguous environments where priorities shift quickly
Bias for ownership: you see what needs to get done and take responsibility for delivering

Preferred

Experience supporting ML research or building ML infrastructure
Deep understanding of LLM architecture and inference-time optimization
Strong knowledge of the agentic ecosystem (frameworks, tools, MCP servers, MAS architectures)
Track record of rapid prototyping in the LLM/agent space
Experience orchestrating and evaluating complex multi-agent systems

Benefits

Competitive salary and early-stage equity package
A high-trust, execution-first culture with minimal bureaucracy
Direct ownership of meaningful projects with real business impact
A rare opportunity to sit at the interface between deep research and real-world productization

Company

Symbolica AI

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Symbolica AI operates as a research-focused company.

Funding

Current Stage
Early Stage
Total Funding
$33M
Key Investors
Khosla Ventures
2024-04-09Series A· $33M
2024-04-09Seed

Leadership Team

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George Morgan
Founder
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Company data provided by crunchbase