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About the Role
Bot Auto is seeking a Senior Software Engineer, Applied AI to architect, build, ship, and operate production-grade AI and agentic systems. 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.
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.
Requirements
- 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.
Skills
- Python
- TypeScript/JavaScript
- Go
- Cloud infrastructure
- Containers
- CI/CD
- Observability
- Security
- Production operations
- LLM/agent systems
- Tool calling
- Orchestration
- Context retrieval
- Memory management
- Workflow state management
- Human review
- Guardrails
- Failure recovery
- MCP
- LangGraph
- LangChain
- LlamaIndex
- Temporal
- RAG
- Hybrid retrieval
- Vector search
- Knowledge systems
- Eval-driven development
- Tracing
- Model/prompt versioning
- Regression testing
Experience Level
- Senior
Salary/Compensations
- $160,000–$220,000
About the Company
- 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.