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Senior Software Engineer, Applied AI

Bot Auto, Houston, Texas (preferred), or the San Francisco Bay Area +1

Posted pay

$160K–$220K

a year

Location: Houston, Texas (preferred), or the San Francisco Bay Area +1
Work type: Not given
Level: Senior
Experience: 6+ years
Skills in the job text: Python
TypeScript
Go
JavaScript
LangChain
Posted: Sep 18, 2026
Last check: 11 h ago
Job type: ML / AI engineering

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BA

Bot Auto

About Bot Auto: funding, hiring and pay

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The role

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.

What you will do

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.

What you need

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 TypeScript/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.

Nice to have

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.

Pay and benefits

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.

About Bot Auto

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.

Read the job posting on the Bot Auto site

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Source: the Bot Auto Greenhouse job board. We last checked this job 11 h ago. We first saw it 5 days ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.

BA

Bot Auto

Open tech jobs: 18
With posted pay: 6%

About Bot Auto: funding, hiring and pay

Compared with similar jobs

This base pay is below the median for senior ML and AI engineering jobs in the Bay Area.

Median: $225K a year
Other jobs in the group: 390

We compare the middle of each posted range. This is base pay as posted. The group does not include this job.