Senior Software Engineer, Applied AI

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 a Senior 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.

• 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.

• 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 programming skills in Python and at least one modern application language such as Type Script/JavaScript, or Go.
• 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.

• Experience with MCP, Lang Graph, Lang Chain, Llama Index, or equivalent agent/tool orchestration frameworks.
• Experience with Temporal or another durable workflow engine for long-running, stateful workflows.
• Experience designing RAG,…