Dexmate

Dexmate

Senior Software Engineer, AI Platform

Santa Clara Office · Senior

Sponsorship not specifiedDetected 193 days ago
TypeScriptPythonGoRustReactNext.jsNode.jsBackend DevelopmentFull-Stack DevelopmentData StructuresAlgorithmsCode ReviewPostgreSQLVector DatabasesDockerKubernetesCI/CDDevOpsTemporalAPI DevelopmentGraphQLRESTMachine LearningLLMs

Stay score

odds of building a lasting career here

40Risky
Cap-exempt (no lottery)0
Sponsors this role90
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

Thin sponsorship signal and lottery-bound. A low-probability bet with your clock running. Prioritize cap-exempt roles and proven entry-level sponsors first.

Lottery odds assume a STEM candidate.

Personalize to your clock →

Employer immigration record

from this employer's Department of Labor filings

Files H-1B transfers

4 transfer filings in the last year, covering 4 workers. Median labor-condition decision: 7 days. An employer that already files transfers is one that can take over an existing H-1B.

Sourced from Department of Labor LCA, PERM and prevailing-wage disclosure data. Employer matching is by name, so figures may be split across an employer's legal entities. Absence of a filing means none appears in our copy of the data, not that none exists.

Community outcomes

No reports yet — be the first to help the next applicant.

About the role

  • You are equally comfortable writing agent orchestration logic, designing REST APIs, and shipping a React dashboard.
  • We want engineers who have closed the loop from prototype to production with AI systems that real users depend on.

Responsibilities

  • Design, implement, and deploy production-grade AI agents: multi-step reasoning pipelines, tool-calling workflows, multi-agent coordination, and human-in-the-loop handoffs
  • Design and build agent harnesses - the runtime infrastructure (context management, tool definitions, memory, feedback loops, observability, and lifecycle control) that makes agents reliable in production
  • Implement production-grade reliability: retry logic with backoff, cost controls, structured output validation, sandboxed tool execution, and checkpoint-resume for long-running agent workflows
  • Develop systematic evaluation frameworks (evals, golden datasets, regression suites, observability traces) that measure agent quality and catch regressions before production
  • Architect and implement scalable backend services and APIs (REST/GraphQL) in Go, Rust, or TypeScript/Node.js
  • Build and maintain integrations with external systems - databases, internal APIs, robot data streams - enabling agents to take real actions with appropriate access controls
  • Own deployment, monitoring, and observability: Docker, Kubernetes, CI/CD pipelines, and LLM-specific tracing and cost tracking
  • Build clean, functional web interfaces in React/Next.js - operator dashboards for robot fleet management, engineering tooling for the AI team, and customer-facing applications

Requirements

  • 5+ years of professional software engineering experience with a full-stack production track record - this is a software engineering role first
  • strong fundamentals in system design, data structures, algorithms, and code quality are required
  • Experience with at least one LLM API (Anthropic Claude, OpenAI, or equivalent) and agentic frameworks (LangChain, LangGraph, PydanticAI, or similar)
  • Frontend engineering proficiency: React, Next.js, TypeScript - able to architect and ship functional, production-grade UIs, not just wire up component libraries

Nice to have

  • Experience with durable execution patterns (Temporal, or similar) for long-running or stateful agent workflows with checkpoint-resume
  • Vector database and embedding experience (Pinecone, Weaviate, pgvector, Voyage AI, etc.) - but as one tool in a broader context engineering stack, not the whole solution
  • Experience designing multi-tenant platforms or internal developer platforms (SDKs, golden-path tooling, shared infrastructure)
  • Familiarity with prompt injection risks, sandboxed code execution, and AI security considerations for agents that take real-world actions

Company info

  • Our mission is to democratize robotics by lowering the barrier to entry, delivering a plug-and-play platform for developers, researchers, and enterprises, and cultivating an open ecosystem that accelerates the evolution of physical AI.
Apply directly at Dexmate →Create a free account for alerts like thisView Dexmate immigration profile

This listing is sourced directly from Dexmate's careers page and normalized into a canonical job model.