Senior Software Engineer AI

Job Description

What if the AI agents you help build empower legal professionals to act with sharper judgment and greater leverage, using tools that are themselves AI-native and multiply what you and your team can ship?

Our agent platform team builds and ships using AI-native engineering practices: agentic coding tools that let a small, senior group move at a pace well beyond traditional engineering throughput. That's how this team builds the infrastructure, tooling, and observability our AI agents need to run reliably at scale, often several efforts 're also in the middle of rethinking how we deploy and operate agents in production, pushing quality and safety checks earlier in the pipeline and raising our bar for release velocity and stability.

As a Senior AI Engineer, you'll bring deep technical expertise to that portfolio of work, owning meaningful systems end-to-end alongside a highly capable, team building the next generation of legal AI agents.

In this opportunity as a Senior AI Engineer, you will:

• Architect and deliver complex AI agent systems end-to-end, including multi-component pipelines, tool integrations, and multi-step reasoning, for the initiatives you own.

• Build production AI agent systems on top of modern LLM APIs, agent SDKs, and orchestration/runtime infrastructure, integrating cleanly with existing platform services.

• Contribute to agent observability and evaluation practices (tracing, automated evals, and quality/drift detection) so regressions in agent behavior get caught before they reach customers.

• Adopt and extend progressive delivery practices, like feature-flagged rollout and earlier-stage quality signals, as the team raises its bar for release velocity and stability.

• Participate in cross-cutting design reviews and technical decisions (RFCs/ADRs), bringing sound technical judgment to how new systems fit together.

• Mentor other engineers on the team, sharing expertise and modeling how to use AI-native, agentic development practices effectively.

• Collaborate with product and engineering peers to translate requirements into solid technical designs.

You're a fit for the role of Senior AI Engineer if you have the following required qualifications:

• Strong experience architecting and shipping production software systems, including hands‑on experience building AI/LLM-powered products or agentic systems (not solely classical ML/data science).

• Direct experience building with modern LLM APIs, agent frameworks/SDKs, or agent-to-tool integration protocols.

• Experience owning complex technical projects end-to-end, from design through production delivery.

• Strong backend engineering fundamentals, including distributed systems design, service architecture, and cloud infrastructure.

• Experience with production reliability and observability practices: monitoring, evaluation pipelines, incident response, and quality regression detection.

• Ability to mentor other engineers and contribute to a strong technical culture.

• Comfort working with high autonomy on a fast-moving, senior-heavy team that builds with AI-native/agentic engineering practices.

• Experience with developer-facing platforms, plugin/extension systems, or integration ecosystems.

• Familiarity with progressive delivery practices (feature flagging, phased rollout, blue/green deployment) at scale.

• Experience with managed agent runtime infrastructure (e.g., AWS Bedrock Agent Core or similar).

• Domain expertise in legal, regulated, professional-services, or other fiduciary domains is a plus, but not required.

#LI-SM2

This posting is for proactive recruitment purposes and may be used to fill current openings or future vacancies within our organization.

• Hybrid Work Model: We've adopted a flexible hybrid working environment for our office-based roles while delivering a seamless experience that is digitally and physically connected.
• Flexibility & Work-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.
• Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow's challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.
• Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.
• Culture: Globally recognized,…