Senior Software Engineer, Applied AI New Houston, Texas (preferred), or the San Francisco Bay Area

Houston, Texas (preferred), or the San Francisco Bay Area

Company Introduction

At Bot Auto, we are revolutionizing the transportation of goods with our cutting-edge autonomous trucks, enhancing the quality of life for communities around the globe. With the agility of a start-up and the wisdom of seasoned experts, Bot Auto boasts a team that has achieved numerous world-firsts and unparalleled innovations. United by a shared vision, we create miracles and propel the future of transportation. Join us and transform your dreams into reality.

We are seeking aSenior Software Engineer, Applied AI to architect, build, ship, and operate production-grade AI and agentic systems across Bot Auto. This is an engineering-first role for a senior software engineer with proven experience building real AI agentic products or business workflows in production. You should be comfortable owning the system end to end across backend services, full-stack applications, databases, infrastructure, integrations, and modern AI/LLM engineering, while making sound decisions about where probabilistic AI should and should not be used.

Key Responsibilities

• Own architecture and end-to-end implementation of production agentic products and workflows from problem definition through deployment and operation.
• Design boundaries between deterministic software, workflow engines, databases, source systems, and probabilistic agent reasoning.
• Build and review backend services, APIs, full-stack applications, and operator/user-facing tools supporting agentic workflows.
• Design agent orchestration, tool contracts, workflow state, memory, context, retrieval, approvals, escalation, retries, idempotency, rollback, and failure recovery.
• Design production data architecture, including relational schemas, state persistence, caching/search, event systems, and consistency behavior.
• Integrate AI systems with enterprise tools, internal APIs, data platforms, and operational systems while preserving permissions, auditability, and source-of-authority boundaries.
• Partner with infrastructure teams on cloud architecture, containers, CI/CD, queues, observability, tracing, security, scaling, latency, and cost.
• Establish reusable engineering patterns and reference implementations; work directly with users to convert high-value workflows into reliable products.

Required Qualifications

• 6+ years of relevant professional software engineering experience, or equivalent demonstrated experience building and shipping production systems.
• Demonstrated hands-on experience architecting, building, shipping, and operating production-grade AI agentic applications, products, or business workflows.
• Strong backend and full-stack engineering capability across services, APIs, databases, application state, and user-facing web applications.
• Strong understanding of distributed systems, databases, data modeling, transactions/consistency, event-driven architectures, and production application design.
• Strong working knowledge of cloud infrastructure, containers, CI/CD, observability, security, and production operations.
• Deep practical understanding of LLM/agent systems, including tool calling, orchestration, context, retrieval, memory, workflow state, human review, guardrails, and failure recovery.
• Experience owning real production issues such as nondeterministic failures, stale context, tool errors, duplicate actions, permission failures, model regressions, latency, and cost trade-offs.

Preferred Qualifications

• Experience with MCP, LangGraph, LangChain, LlamaIndex, or equivalent agent/tool orchestration frameworks.
• Experience with Temporal or another durable workflow engine for long-running, stateful workflows.
• Experience designing RAG, hybrid retrieval, vector search, graph/knowledge systems, or context-engineering architectures.
• Experience with eval-driven development, tracing, offline/online evaluation, model/prompt versioning, guardrails, and regression testing.
• Experience leading technical initiatives across teams; experience in autonomous systems, logistics, robotics, or other mission-critical domains is a plus.

Compensation

For candidates based in California, the anticipated annual base salary range for this position is $160,000–$220,000. The final base salary will be determined based on factors such as the candidate’s qualifications, relevant experience, demonstrated skills, position level, scope of responsibilities, and work location. This base salary range does not include any applicable bonus, equity, or benefits.

As set forth in Bot Auto’s Equal Employment Opportunity policy,we do not discriminate on the basis of any protected group status under any applicable law.

If you believe you belong to any of the categories of protected veterans listed below, please indicate by making the appropriate selection.As a government contractor subject to the Vietnam Era Veterans Readjustment Assistance Act (VEVRAA), we request this information in order to measurethe effectiveness of the outreach and positive recruitment efforts we undertake pursuant to VEVRAA. Classification of protected categoriesis as follows:

A "disabled veteran" is one of the following: a veteran of the U.S. military, ground, naval or air service who is entitled to compensation (or who but for the receipt of military retired pay would be entitled to compensation) under laws administered by the Secretary of Veterans Affairs; or a person who was discharged or released from active duty because of a service-connected disability.

A "recently separated veteran" means any veteran during the three-year period beginning on the date of such veteran's discharge or release from active duty in the U.S. military, ground, naval, or air service.

An "active duty wartime or campaign badge veteran" means a veteran who served on active duty in the U.S. military, ground, naval or air service during a war, or in a campaign or expedition for which a campaign badge has been authorized under the laws administered by the Department of Defense.

An "Armed forces service medal veteran" means a veteran who, while serving on active duty in the U.S. military, ground, naval or air service, participated in a United States military operation for which an Armed Forces service medal was awarded pursuant to Executive Order 12985.