3 months ago

Software Engineer, Agents

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Software Engineer, Agents to build and optimize agentic AI systems for legal professionals. Design environments for agent work, select models, manage context windows, and develop evals to accelerate iteration. Collaborate with customers, PMs, and infra teams to deliver low-latency, high-quality agents that enhance productivity for legal workflows at scale.

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Partner with customers and PMs to understand legal workflows, design practical evaluations that capture what “excellent” means, 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 our model infra team to design and implement infrastructure for low-latency agent execution, including caching strategies, parallel tool calls, or subagent patterns.
•Improve our observability and instrumentation to profile agent behavior, identify bottlenecks, and drive optimization decisions.
•Stay current on new developments in agentic systems and bring those learnings back to the products we build.

Pay and Benefits

Salary: USD 161,300 - 241,900 annually

Equity and Bonus:Equity

Perks:EquityAnnual Bonus

Key Requirements

•2-5 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.
•Comfortable with evaluating and driving quality through structured experiments.
•Willingness to contribute across mid, senior, and staff levels.

Experience:2-5 yearsAISaaSEnterprise softwareLegal tech

Skills:Problem-solvingCommunicationCollaborationAdaptiveAbility to learn quickly

Tech Stack:PythonLLM APIsAgent frameworks

Company Brief

Harvey

Harvey builds domain-specific generative AI for legal and professional services, automating contract analysis, due diligence, compliance, and litigation workflows for law firms and corporate legal teams.

Industry: LegalTech

Company Size: Large (251 to 1,000 employees)

Revenue: USD 100M to 250M

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2022

Glassdoor: 4.1

Website LinkedIn Glassdoor

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Harvey

3 months ago

Software Engineer, Agents

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 2 hours agoStatus: Live

Job Summary

Location: San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Partner with customers and PMs to understand legal workflows, design practical evaluations that capture what “excellent” means, 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 our model infra team to design and implement infrastructure for low-latency agent execution, including caching strategies, parallel tool calls, or subagent patterns.
•Improve our observability and instrumentation to profile agent behavior, identify bottlenecks, and drive optimization decisions.
•Stay current on new developments in agentic systems and bring those learnings back to the products we build.

Pay and Benefits

Salary: USD 161,300 - 241,900 annually

Equity and Bonus:Equity

Perks:EquityAnnual Bonus

Key Requirements

•2-5 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.
•Comfortable with evaluating and driving quality through structured experiments.
•Willingness to contribute across mid, senior, and staff levels.

Experience:2-5 yearsAISaaSEnterprise softwareLegal tech

Skills:Problem-solvingCommunicationCollaborationAdaptiveAbility to learn quickly

Tech Stack:PythonLLM APIsAgent frameworks

Company Brief

Harvey

Industry: LegalTech

Company Size: Large (251 to 1,000 employees)

Revenue: USD 100M to 250M

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Funding: Series E+

Headquarters: San Francisco, United States

Founded: 2022

Glassdoor: 4.1

Website LinkedIn Glassdoor