1 day ago
Houston, TX, USASenior
Base Salary
$160k - $220k/yr
Responsibilities
- Own the architecture and end-to-end implementation of production agentic products and workflows through deployment and operation.
- Build and review backend services, APIs, full-stack applications, and operator- and user-facing tools.
- Design agent orchestration, tool contracts, workflow state, memory, context, retrieval, approvals, escalation, retries, rollback, and failure recovery.
- Design production data architecture involving relational schemas, state persistence, caching and search, event systems, and consistency behavior.
- Integrate AI systems with enterprise tools, internal APIs, data platforms, and operational systems while maintaining 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 and work with users to turn high-value workflows into reliable products.
Requirements
- 6+ years of relevant professional software engineering experience or equivalent demonstrated experience building and shipping production systems.
- 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 and 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 and agent systems, including tool calling, orchestration, context, retrieval, memory, workflow state, human review, guardrails, and failure recovery.
- Experience addressing production issues such as nondeterministic failures, stale context, tool errors, duplicate actions, permission failures, model regressions, latency, and cost trade-offs.
- Preferred experience with MCP, LangGraph, LangChain, LlamaIndex, or equivalent agent and tool orchestration frameworks.
- Preferred experience with Temporal or another durable workflow engine for long-running, stateful workflows.
- Preferred experience designing RAG, hybrid retrieval, vector search, graph or knowledge systems, or context-engineering architectures.
- Preferred experience with eval-driven development, tracing, offline and online evaluation, model and prompt versioning, guardrails, and regression testing.
- Experience leading technical initiatives across teams is preferred; autonomous systems, logistics, robotics, or mission-critical domain experience is a plus.
Tech Stack
Categories
About Bot Auto
Bot Auto develops and operates Level 4 autonomous trucks, selling freight capacity as Transportation-as-a-Service to shippers rather than licensing technology. The Houston-based, privately held company (founded 2023) owns the trucks and runs end-to-end operations, pairing fleet operators with autonomy engineers to deploy long-haul routes. Its platform spans autonomy software, vehicle controls, sensors, compute, and fleet operations with a documented safety case for commercial freight service.