Senior Ai Engineer
About the Role
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. #J-18808-Ljbffr
Responsibilities
- Fine-tune models for targeted use cases
- Collaborate to integrate agents into runtime
- Experiment with state-of-the-art models
Qualifications
- Experience with LLMs and agent frameworks
- Experience in fine-tuning models
- Open-source AI frameworks contributions
Required Skills
Keywords
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