About the Role

Veho is building the AI-native infrastructure that will power how every product and team
builds, ships, and operates. As a Senior Software Engineer on the Builder Experience team, you
will own core platform services, abstractions, and guardrails that make it safe and easy for
engineers across Veho to build on top of LLMs and agents.

You will work across cloud and edge, shape the architecture of our next-generation developer
platform, and turn experimental AI workflows into reliable, multi-tenant production systems.

What You Will Work On
Platformized agentic workflows: Design and build reusable agent harnesses and
orchestration services that other teams can plug into, rather than one-off bots.
Framework evaluation and standardization: Evaluate, integrate, and standardize agent
and orchestration frameworks (e.g., LangGraph, Amazon Bedrock Agent
Framework/AgentCore) as core building blocks for our AI-native platform.
Company-wide knowledge graph: Build ingestion pipelines, storage models, and APIs
that expose LLM-ready context as a shared platform capability.
Internal developer platform: Evolve our internal developer platform
(Minerva/Vulcan/Veho Build) into the primary way to discover, consume, and safely
extend internal APIs, with first-class AI/agent primitives.
Security and guardrails: Implement cross-cutting policies (authZ, rate limits, capability
scopes, audit trails) to ensure AI-powered features are safe by default.
GitHub-native delivery: Build services that standardize how code, agents, and
workflows move from branch to production via PRs, checks, and automated review.
MCP server ecosystem: Operate a fleet of domain-specific MCP servers as platform
components with clear SLAs, observability, and lifecycle management.
Responsibilities
Design, build, and operate scalable, multi-tenant platform services used by product,
operations, and engineering teams.
Develop and evolve APIs and systems across edge runtimes and cloud environments.
Architect distributed systems spanning edge runtimes, cloud providers, and internal
platforms.
Embed AI and LLM-powered capabilities into platform surfaces (e.g., Vulcan, CI/CD,
Slack), enabling safe agent workflows and tool use.
Define standards, best practices, and reference implementations for building AI-native
features at Veho.What We’re Looking For
8+ years of software engineering experience with a focus on backend or platform
systems.
Strong fundamentals in APIs, distributed systems, and security for multi-tenant
environments.
Hands-on experience with LLMs, agent frameworks, or AI tooling (e.g., LangGraph,
Amazon Bedrock Agent Framework/AgentCore, OpenAI, Anthropic) and a desire to
treat them as platform primitives, not just product features.
Experience building or contributing to internal platforms, API gateways, or developer
tooling (e.g., GitHub-based workflows, CI/CD).
Familiarity with GraphQL, service-to-service communication patterns, and observability
for complex systems.
Curiosity about the rapidly evolving AI ecosystem and a bias toward pragmatic
infrastructure that teams readily adopt