Senior Software Engineer, Applied AI

Socket.dev

San Francisco (CA)

On-site

USD 160,000 - 220,000

Full time

2 days ago
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Job summary

Bot Auto is seeking a Senior Software Engineer, Applied AI in California to architect, build, ship, and operate production-grade AI agentic systems across the company.

You will own end-to-end architecture, design tool contracts, and integrate with enterprise systems while managing performance, security, and reliability.

Qualifications

  • 6+ years of professional software engineering experience.
  • Hands-on experience architecting and shipping AI agentic applications.
  • Backend and full-stack proficiency across services, APIs, databases, and UI.
  • Strong Python and TypeScript/JavaScript or Go skills.
  • Knowledge of distributed systems, data modeling, and transactions.
  • Cloud, containers, CI/CD, observability, security, and production ops.
  • Deep understanding of LLM/agent systems, tool calling and memory.
  • Experience solving nondeterministic failures and latency/cost trade-offs.

Responsibilities

  • Own architecture and end-to-end implementation of production agentic products and workflows.
  • Design boundaries between deterministic software, workflow engines, and probabilistic agent reasoning.
  • Build and review backend services, APIs, and full-stack tools for agentic workflows.
  • Design agent orchestration, tool contracts, state, memory, retrieval, and retries.
  • Define production data architecture, schemas, caching, event systems, and consistency.
  • Integrate AI with enterprise tools and internal APIs while preserving security and auditability.
  • Collaborate with infra on cloud, containers, CI/CD, observability, and cost.
  • Create reusable engineering patterns and translate customer workflows into reliable products.

Skills

Python
TypeScript/JavaScript
Go
Distributed systems
LLM/agent systems
Cloud infrastructure
Observability
CI/CD

Tools

LangChain
LangGraph
LlamaIndex
Temporal

Job description

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.

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