Senior Software Engineer, Applied AI

Role overview

Responsibilities

• Discover workflows and pain points with business and operational teams; identify opportunities for measurable AI impact.
• Turn ambiguous problems into solution hypotheses, prototypes, production plans, and success measures.
• Deliver solutions end to end with users and Platform Ops, from design and implementation through rollout, reliability, feedback, and iteration.
• Build LLM agents, copilots, and automations; connect them to enterprise data and systems with evaluation, observability, security, and feedback loops.
• Enable employees to query data, make decisions, and take action through existing tools and workflows.
• Support workflow redesign, training, change management, enablement materials, and responsible AI use.
• Measure adoption and operational outcomes; use evidence to iterate, scale, or stop work.
• Create reusable patterns and playbooks, share lessons, and help define the applied AI technical roadmap.

Required qualifications

• 3 to 5+ years of software engineering experience, including at least 1 year delivering applied AI, ML, or intelligent automation in production.
• Hands-on LLM experience, including prompt engineering, RAG, function and tool calling, evaluations, and agentic patterns.
• Strong software engineering fundamentals, system design, and ability to ship reliable production applications at high velocity.
• Strong Python proficiency; experience with APIs, data pipelines, integrations, and cloud-based application architectures.
• Experience with Git and GitHub workflows, CI/CD, observability, and modern development practices.
• Communicates with technical and non-technical partners, works autonomously, and focuses on adopted solutions and measurable outcomes.

Preferred qualifications

• Experience embedding with customers or internal teams in ambiguous problem spaces and driving technical adoption.
• Experience with agentic frameworks such as LangChain, LangGraph, or CrewAI, or workflow orchestration tools.
• Familiarity with enterprise AI platforms such as OpenClaw, Glean, or Claude Cowork.
• Experience with agentic process automation or RPA platforms such as Sola.
• Experience in logistics, freight, or other operations-heavy industries.

Compensation

• Expected salary range is $159,000–$178,000 per year.
• Full-time employees are eligible for equity and benefits.

Workplace and location

• Hybrid work model with scheduled in-office and work-from-home days.
• Employer targets candidates local to or willing to relocate to the San Diego headquarters and is targeting the San Diego/Encinitas area.

Benefits

• Benefits include 401(k), medical, dental, and vision coverage.