Founding AI Engineer

KOS AI

AI Engineer designing and building production systems for Kos, a virtual finance employee. Processing finance for America's industrial revival with cutting-edge AI technology.

Posted 7/27/2026full-timeSan Francisco • California • 🇺🇸 United StatesJuniorMid-Level💰 $170,000 - $250,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in agentic systems and LLM orchestration, with a strong focus on transforming research into reliable production solutions. Proven ability to design evaluation harnesses and improve workflows based on customer feedback.

Highest-signal resume keywords

Agentic System DevelopmentLLM OrchestrationEvaluation DesignProduction DeploymentResearch Implementation

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Computer ScienceElectrical EngineeringMachine LearningModel Fine-TuningPrompt EngineeringRetrieval TechniquesWorkflow EvaluationData AnalysisSystem ArchitectureAlgorithm Design

Soft Skills

Problem SolvingCollaborationLeadershipCultural DevelopmentCommunication

Certifications & Qualifications

Bachelor's DegreeMaster's DegreePhD

Industry Keywords

Agent RuntimeTool OrchestrationCustomer DemosModel RoutingProduction ExperimentsResearch Track RecordCustomer WorkflowsError HandlingModel WeightsFrontier Agent Capabilities

About the role

Key responsibilities & impact

Own the agent runtime: computer use, tool orchestration, and memory loop that lets Kos learn a workflow from customer demos
Design the ensemble routing layer that picks the right model per step and keeps Kos.ai provider-agnostic
Build the evaluation harness that catches regressions on recorded customer workflows before they reach production
Take frontier agent capabilities from paper to production, with equal attention to what the research says and what runs reliably every day
Partner with the applied controller team so practitioner-caught errors turn into prompt, model, and routing improvements
Set the hiring bar and culture for Kos.ai

Requirements

What you’ll need

Have strong fundamentals: Bachelors / Masters / PhD in CS/EE from top-tier universities, 2+ years of experience
Have shipped an agentic system, computer-use agent, or LLM-powered feature into production. Or you have an equivalent research track record.
Worked on modern LLM orchestration, tool use, eval design for open-ended tasks, and the tradeoffs between fine-tuning, prompting, and retrieval are second nature to you
Can take a problem from "interesting paper" to "runs reliably every day for paying customers" without being told how to scope it
Track agent and LLM research closely. Useful ideas turn into production experiments in your hands quickly.
Care as much about the eval harness as the model weights.

Benefits

Comp & perks

Medical, dental, vision for you and your dependents (little/no premiums, the absolute best we qualify for)
401(k)
Visa sponsorship