Applied AI Engineer
You will build agent workflows that interact with browsers, codebases, and APIs; evaluate model behavior; develop tool, memory, and evaluator frameworks; create data pipelines for SFT and RL training; design prompting and benchmarking systems; and partner with customers and stakeholders to align AI behavior with user expectations.
Responsibilities
- Build autonomous and semi-autonomous agent workflows
- Evaluate model behavior in live environments
- Develop reinforcement learning approaches for end-to-end agent systems
- Design modular frameworks for tools, memory and evaluators
- Develop data pipelines for usage-data collection, transformation and annotation
- Design agent libraries, prompting strategies and benchmarking frameworks
- Partner with customers and internal stakeholders
Requirements
- 4+ years of software engineering experience
- At least one year working directly on AI/ML-powered applications
- Fluency in AI tooling such as OpenAI APIs and Anthropic APIs
- Practical understanding of LLMs, prompt engineering and agentic architectures
- Experience building production systems integrating external environments
- Experience with code execution, browser automation or API orchestration
- Familiarity with benchmarks such as SWE-bench or evaluation strategies for tool-using agents
- Background in reinforcement learning or data-centric AI approaches
Benefits
- Performance-based annual bonus
- Meaningful equity awards
- Medical, dental and vision insurance
- Fertility and family-planning support
- 401k plan
- Unlimited paid time off
- Paid sick leave
- Employee wellness programs
- Flexible work hours
- Gym, sauna and bike parking
- Free lunch three days a week