Bot Auto Logo

Bot Auto

Senior Software Engineer, Applied AI

Posted One Month Ago
In-Office or Remote
Hiring Remotely in CA
160K-220K Annually
Senior level
In-Office or Remote
Hiring Remotely in CA
160K-220K Annually
Senior level
Architect, build, deploy, and operate production-grade AI agentic systems and workflows. Responsibilities include backend and full-stack development, agent orchestration, workflow state, retrieval, memory, approvals, failure recovery, data architecture, enterprise integrations, cloud infrastructure, observability, security, and scaling. The role establishes reusable engineering patterns and partners with users to deliver reliable AI products, while addressing production issues involving model behavior, permissions, latency, cost, and consistency.
The summary above was generated by 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.

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 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.
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.


Similar Jobs

28 Days Ago
Remote
183K-284K Annually
Senior level
183K-284K Annually
Senior level
Software
Build and operate production-grade AI agents that automate workflows across internal teams. Design agent architectures with LangGraph and Amazon Bedrock AgentCore, integrate internal systems and third-party tools, and develop evaluation, observability, and guardrail frameworks. Partner with nontechnical teams to identify workflows, own solutions from prototype through production, measure impact, and drive adoption through documentation and training.
Top Skills: Amazon Bedrock AgentcoreAmazon Web Services (Aws)AutogenClaudeGptJavaLangchainLanggraphLlamaLlamaindexMistralNode.jsPythonRetrieval-Augmented Generation (Rag)Typescript
4 Minutes Ago
Easy Apply
Remote or Hybrid
Easy Apply
140K-175K Annually
Senior level
140K-175K Annually
Senior level
Artificial Intelligence • Marketing Tech • Software
Lead measurement, monitoring, and diagnostic reporting for AI-powered personalization models. Build scalable data pipelines in GCP and BigQuery, develop automated alerts, support A/B testing, and create Tableau visualizations. Evaluate recommender systems and propensity models using statistical and predictive analytics, integrate insights into AI products, and communicate findings to technical and non-technical stakeholders while mentoring junior team members.
Top Skills: A/B TestingAWSBigQueryData PipelinesGCPMachine Learning Model MonitoringPredictive AnalyticsPythonRedshiftSQLStatistical ModelingTableau
4 Hours Ago
Easy Apply
Remote or Hybrid
Easy Apply
93K-120K Annually
Senior level
93K-120K Annually
Senior level
Artificial Intelligence • Cloud • Computer Vision • Hardware • Internet of Things • Software
Build trusted technical relationships with enterprise customers, troubleshoot Samsara hardware, software, APIs, and AI solutions, and optimize implementations. Serve as the primary technical contact, manage incident communications, identify growth opportunities, maintain account records, and collaborate across stakeholders. The role also supports Technical Account Management team development and requires occasional customer travel plus after-hours or weekend coverage when needed.
Top Skills: APIsArtificial IntelligenceGainsightGeminiHardwareIotJIRAMachine LearningPaasPythonSaaSSalesforceSoftwareTableauZendesk

What you need to know about the Chicago Tech Scene

With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.

Key Facts About Chicago Tech

  • Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
  • Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
  • Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
  • Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account