Location: New York, San Francisco or Croatia
Type: Full-time
About the Role
This role is ideal for someone who thrives at the intersection of AI research and engineering. You’ll move fast between prototyping, model fine-tuning, and building production-ready systems that inspire both developers and enterprises to push what’s possible with Daytona.
What You'll Be Doing
Fine-tune models to deliver exceptional performance for targeted use cases
Design and share real-world examples and demos that highlight Daytona’s capabilities
Collaborate with the product and platform teams to integrate agents seamlessly into Daytona’s runtime
Experiment with state-of-the-art models, techniques, and architectures to push boundaries
Write technical documentation, guides, and reference implementations for the community
You Might Be a Fit If You
Have deep experience building with LLMs and agent frameworks
Can design and train/fine-tune models for specialized workflows
Enjoy moving from proof-of-concept to production-level systems
Care deeply about developer experience and performance optimization
Communicate clearly, both with technical teams and developer communities
Bonus Points
Experience with reinforcement learning, multimodal models, or tool-augmented agents
Background in computer interaction agents, autonomous browsing, or robotic process automation
Open-source contributions to AI frameworks, agents, or orchestration systems
About Daytona
Daytona is building the agent-native runtime layer for modern software development. Our platform spins up secure, sandboxed environments in under 90ms, used by developers and AI agents alike. Daytona is open source, trusted by thousands, and backed by top-tier investors.
We’re not just making dev environments faster. We’re redefining how software gets built.
Successful candidates will be contacted for an interview. We appreciate all the applications we receive, but only those selected for an interview will be contacted.
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