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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and improving synthetic data pipelines and automated training systems, with a strong focus on agent-based workflows and model fine-tuning. Proficient in advanced English communication, capable of collaborating effectively with team members and presenting technical results to customers.
Highest-signal resume keywords
Synthetic Data Pipeline DevelopmentAgent-Based WorkflowsModel Fine-TuningSoftware Engineering ExperienceAdvanced English Proficiency
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
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Hard Skills
Model Fine-TuningQuantizing Open-Source ModelsBuilding Personal Agent HarnessesRunning Open-Source Models LocallyInter-Agent CommunicationTask Completion VerificationDetection and Classification Problem SolvingAutomated QA ProcessesField False Positive HandlingAgent Loop Implementation
Soft Skills
Clear CommunicationCollaborationPassion for AIWillingness to Experiment
Tools & Technologies
GitIssue TrackerWindowsLinux
Industry Keywords
Vision-Language ModelsOpen-Source ModelsAI AgentsDetection SystemsClassification Systems
Tech Stack
Tools & technologiesLinux
About the role
Key responsibilities & impact- Learn, maintain, and improve the synthetic data pipeline and automated training system
- Take ownership of a model and improve it with an agent loop that generates its own data
- Build closed loops where agents train detectors and classifiers, test them against validation sets, and improve them with minimal human input
- Design systems that handle field false positives, flag uncertain detections, and automatically fix the rest
- Lead research on vision-language models, fine-tune them for specific tasks, and use agents to track current techniques
- Solve detection and classification problems for customers and partners by building new models or extending existing ones
- Apply agents to QA automation and code bases that find and fix their own bugs
- Share successful approaches with the team and present results to customers when needed
Requirements
What you’ll need- Advanced English (C1) proficiency, with the ability to communicate fluently and handle complex, fast-paced technical and professional tasks
- Experience building personal agent harnesses or agentic workflows, with demonstrable work
- Experience running many agents simultaneously, including handling inter-agent communication, token use, and task completion verification
- Professional software engineering experience on both Windows and Linux
- Experience with Git and an issue tracker
- Experience fine-tuning or quantizing open-source models, such as training LoRAs
- Experience running open-source models locally
- Knowledge of the model landscape from early GPT models to current open-source models, including their strengths and limitations
- Clear communication with team members and customers
- Passion for AI and agents, and willingness to experiment with new tools and ideas
- English-only resume/CV submission
- Applicants from every background and country welcome
Benefits
Comp & perks- Fully remote work
- Access to Claude, Codex, and self-hosted models every day with no limits on applying them to work
- Opportunity to work on models already running in production on edge boxes around the world
- Direct collaboration with the whole team and influence over company-wide AI workflows
- Collaboration with colleagues interested in agent behaviour, harness design, and model quirks