AI Agent Engineer

Symbolica AI•San Francisco, CA

11d•Onsite

About The Position

We’re looking for an AI Agent Engineer – 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. 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. 📍 This is an onsite role based in our SF office (345 California St).

Requirements

Deep understanding of LLM architecture and inference-time optimisation.
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.
Solid software engineering skills in Python and/or TypeScript.

Nice To Haves

Experience with autonomous, dynamic multi-agent systems (beyond DAGs).
Context engineering expertise.
Embedding models & RAG.
Improving model performance via fine-tuning.

Responsibilities

Design new agentic systems in our framework that were previously infeasible elsewhere — and test their limits.
Implement and evaluate open-source agentic systems (and customer-specific ones) within our framework.
Identify and solve bottlenecks in today’s agent ecosystem (e.g. context engineering, MCP constraints, inter-agent communication, memory).
Stay ahead of the curve by tracking new research and incorporating cutting-edge AI features as they’re released.

Benefits

Competitive salary + early-stage equity package.
High-trust, execution-first culture with minimal bureaucracy.
Direct ownership of meaningful projects with tangible impact.
A rare chance to work at the interface of deep research and real-world productization.

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