As a Software Engineer, Agents, you'll build the systems that make Harvey's AI agents indispensable to legal professionals: designing environments and actions for agentic work, making model selection decisions, managing context windows, building optimal tools, and developing evals for faster iteration.
Responsibilities
- ▹Partner with customers and PMs to understand legal workflows, design practical evaluations, and ship agents that get the job done
- ▹Optimize agent performance through prompt engineering, model selection, tool design, skill writing, context window management, and eval harness development
- ▹Work with the model infra team to design and implement infrastructure for low-latency agent execution, including caching strategies, parallel tool calls, and subagent patterns
- ▹Improve observability and instrumentation to profile agent behavior, identify bottlenecks, and drive optimization decisions
- ▹Stay current on developments in agentic systems and bring those learnings back to the products
Requirements
- ▹Passion for building effective domain-specific agents
- ▹Iterative mindset: build proof of concepts, make decisions quickly, and ship v0s
- ▹Comfortable with when and how to use evaluations to drive quality
- ▹Humble and adaptable about code and frameworks, driving adoption of new best practices
- ▹5-8 years (post-BS/MS) of software engineering experience
- ▹Proficiency in Python and experience working with LLM APIs and agent frameworks
- ▹Experience shipping user-facing products, either on the backend or full-stack
Soft skills
Humble and adaptable mindsetIterative, fast decision-making work styleCuriosity and staying current on developments in agentic systems
About the company
Harvey builds an enterprise-grade, agentic AI platform for legal and professional services, serving 2,400+ customers in 70+ countries.
Languages: Angol: Felsőfok
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