Extend (Australia) Pty Ltd
Senior AI Software Engineer, Internal Enablement
Remote, US · Senior
Sponsorship not specified$160k-$180kDetected 77 days ago
TypeScriptPythonNode.jsDynamoDBAWSPlatform EngineeringOAuthLLMsCybersecurityComplianceCRMSupply ChainRecruitingCustomer Support
About the role
- We are hiring a Senior AI Software Engineer to change the way we work with AI across the whole company.
- We want you to be part of the team that provides the engineering rigor to make this platform reliable, secure, and easy to use.
- Over the next six months we are standing up MCP connectors to the systems we run on, a shared library of agent skills every team composes from, and the infrastructure that turns a one-off prototype into durable tooling.
Responsibilities
- Design and ship secure MCP (Model Context Protocol) connectors to Extend's internal systems and the third-party SaaS we run on: finance, CRM, data warehouse, expense management, product analytics, support, ATS, and the long tail beyond.
- Build and curate the shared library of agent skills that every team at Extend composes from. Ship skills, codify patterns, and raise the floor for what a safe, high-quality skill looks like.
- Build the tooling that lets non-engineers create reusable agent skills securely and reliably.
- Fill the open phases of the lifecycle that governs how skills are designed, reviewed, and shipped, so non-engineers can build and ship intelligent automation end to end.
- Build toward a connector-building agent: a meta-agent that discovers APIs, scaffolds MCP servers, and provisions access automatically. The end state is a platform that is itself an agent.
- Own the employee experience for the agentic platform.
- Help onboard employees to the tools with self-serve guides, build skills people can learn from, and run the feedback loop between what's shipped and what adopters actually need.
- Design credential scoping and vending for agent connectors: how API keys are provisioned, rotated, and scoped per user, per skill, per connector. OAuth/OIDC where it fits, least-privilege everywhere.
- Build the risk-tier and review model for shared agent skills: what's safe at personal, team, and org level
Requirements
- Direct experience with Claude Code, MCP, or another agent framework (LangChain, CrewAI, AutoGen, OpenAI Agents SDK).
Nice to have
- Experience with AWS CDK, CloudFormation, or similar infrastructure-as-code.
- Experience with OpenTelemetry, Coralogix, or equivalent observability tooling.
- Background in platform engineering, internal developer platforms (IDPs), or enterprise integration.
- Prior IC role at an early-stage startup with a small team, wide surface area, and high pace.
- Experience with LLM application security: OWASP LLM Top 10, prompt injection defense, agent sandboxing.
- Background in supply chain security, dependency scanning, or SBOM tooling.
- Individual salaries are determined based on a number of factors including, but not limited to, job-related knowledge, skills and experience.
- Working with a great team from diverse backgrounds in a collaborative and supportive environment.
Skills
- Proficient in at least one of Python, TypeScript/Node, or Rust.
Compensation
- The target base salary range for this position is listed above. Individual salaries are determined based on a number of factors including, but not limited to, job-related knowledge, skills and experience.
- $160,000 - $180,000 per year salaried*
- Competitive salary based on experience, with full medical and dental & vision benefits.
Benefits
- Competitive salary based on experience, with full medical and dental & vision benefits.
- Stock in an early-stage startup growing quickly.
- Generous, flexible paid time off policy.
Company info
- What We're Looking For:
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