AI Agent Engineer at Symbolica AI

<div class="content-intro"><p><strong>About us<br></strong></p> <p>Symbolica was founded on a simple idea: intelligence is about structure and reasoning, not just pattern matching.</p> <p>For decades, AI has been split between symbolic systems that are reliable but brittle and neural systems that are flexible but unpredictable. We’re building a bridge between the two.</p> <p>We’re an AI research lab combining deep mathematics and machine learning to create systems that truly reason. Using category and type theory as a unifying framework, we develop interpretable, reliable and scalable foundations for intelligence and turn them into real products, working in a tight feedback loop where research directly shapes application.</p> <p>Agentica is the latest expression of this vision: an agent framework for tool use and multi-agent orchestration through arbitrary code execution. It recently achieved 85.28% on ARC-AGI-2, setting a new public SOTA.</p> <p>Founded in 2022, we’ve raised over $30M from investors including Khosla Ventures, General Catalyst, Abstract Ventures and Buckley Ventures, backing us to rethink the mathematical foundations of machine learning.</p> <p>If you’ve ever been kept awake wondering what comes after deep learning, you’ll fit right in.</p> <p></p></div><p><strong>About the Role<br></strong>We’re looking for an&nbsp;<strong data-start="308" data-end="329">AI Agent Engineer</strong> – a software engineer with deep experience in ML, LLMs, and/or agentic systems – to help push the limits of our internal agent framework and shape its design.</p> <p>You’ll work side-by-side with researchers, ML engineers, and leadership to turn ambitious ideas into real-world systems. Expect to move fast, handle ambiguity, and fill the critical execution gap between research and production.</p> <p>📍 This is an <strong>onsite role</strong> based in our SF office (345 California St).</p> <div class="p-rich_text_section"><strong data-stringify-type="bold">Your Focus</strong></div> <ul> <li data-start="948" data-end="1060">Design new agentic systems in our framework that were previously infeasible elsewhere — and test their limits.</li> <li data-start="1063" data-end="1166">Implement and evaluate open-source agentic systems (and customer-specific ones) within our framework.</li> <li data-start="1169" data-end="1308">Identify and solve bottlenecks in today’s agent ecosystem (e.g. context engineering, MCP constraints, inter-agent communication, memory).</li> <li data-start="1311" data-end="1425">Stay ahead of the curve by tracking new research and incorporating cutting-edge AI features as they’re released.</li> </ul> <div class="p-rich_text_section"><strong data-stringify-type="bold">About You</strong></div> <ul> <li data-start="1457" data-end="1530">Deep understanding of LLM architecture and inference-time optimisation.</li> <li data-start="1533" data-end="1629">Strong knowledge of the agentic ecosystem (frameworks, tools, MCP servers, MAS architectures).</li> <li data-start="1632" data-end="1691">Track record of rapid prototyping in the LLM/agent space.</li> <li data-start="1694" data-end="1764">Experience orchestrating and evaluating complex multi-agent systems.</li> <li data-start="1767" data-end="1839">Solid software engineering skills in Python and/or TypeScript.</li> </ul> <p data-start="1841" data-end="1860"><strong data-start="1841" data-end="1858">Nice-to-haves</strong></p> <ul> <li data-start="1863" data-end="1935">Experience with autonomous, dynamic multi-agent systems (beyond DAGs).</li> <li data-start="1938" data-end="1970">Context engineering expertise.</li> <li data-start="1973" data-end="1998">Embedding models &amp; RAG.</li> <li data-start="2001" data-end="2047">Improving model performance via fine-tuning.</li> </ul> <p><strong>What We Offer</strong></p> <ul> <li data-start="2076" data-end="2126">Competitive salary + early-stage equity package.</li> <li data-start="2129" data-end="2192">High-trust, execution-first culture with minimal bureaucracy.</li> <li data-start="2195" data-end="2258">Direct ownership of meaningful projects with tangible impact.</li> <li data-start="2261" data-end="2349">A rare chance to work at the interface of deep research and real-world productization.</li> </ul> <p>Candidates for this position must be legally authorized to work in the United States. This position is not eligible for visa sponsorship or support.</p> <p><strong>Read more about Symbolica:</strong></p> <ul> <li><a href="https://fortune.com/2024/04/09/vinod-khosla-former-tesla-autopilot-engineer-ai-models/">https://fortune.com/2024/04/09/vinod-khosla-former-tesla-autopilot-engineer-ai-models/</a></li> <li><a href="https://venturebeat.com/ai/move-over-deep-learning-symbolicas-structured-approach-could-transform-ai/">https://venturebeat.com/ai/move-over-deep-learning-symbolicas-structured-approach-could-transform-ai/</a></li> </ul> <p><em>Symbolica is an equal opportunities employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, gender, age, religion, disability, or sexual orientation.</em></p>