Applied AI Engineer, Agentic Systems & Identity

The world still has coverage blind spots. You could help eliminate them lo has pioneered a standards-based approach to satellite connectivity. We connect smartphones and IoT devices directly to satellites. No special hardware, no entirely new networks. Just billions of existing devices, suddenly reachable anywhere on Earth. We're not building toward this future. We're already in it.

Our direct-to-device service is live on millions of activated devices across five continents, covering more than 72 million square kilometers, in partnership with leading satellite operators, mobile network operators, Tier-1 chipset makers, and OEMs worldwide. And we're just getting started.

At the heart of it all is Skylo's commercial NTN vRAN: a 3

GPP standards-based, cloud-native platform that seamlessly bridges terrestrial and satellite networks. It's the infrastructure that makes true anywhere, anytime connectivity possible.

When you join Skylo, you'll work at the intersection of three markets reshaping how the world stays connected: mass-market consumer devices, automotive, and industrial IoT. Enabling people outdoors and critical workflows in the world's most remote places.

This is a rare chance to work on technology that matters, at a company that's already proving it works

About the Role Skylo is exploring how agentic AI can unlock new capabilities and business opportunities across telecommunications and connected systems.

We're looking for a highly entrepreneurial software engineer who enjoys solving ambiguous problems, experimenting with emerging technologies, and turning early ideas into working products.

You'll work at the intersection of agentic AI, identity, service discovery, and network technologies. Your focus will be on understanding emerging opportunities, developing technical approaches, and rapidly building prototypes that demonstrate real business value.

This is a hands-on, zero-to-one engineering role for someone who likes building as much as thinking.

This is a hybrid role requiring regular in-office presence at our Mountain View, CA location.

What You'll DoExplore emerging applications of agentic AI across telecommunications, identity, discovery, and network services.

Identify business opportunities and translate ambiguous ideas into technical experiments and working prototypes.

Design and build agentic AI systems using LLM orchestration, tool integrations, and emerging agent communication protocols.

Apply concepts from enterprise identity and security, including authentication, authorization, OAuth, SSO, and zero-trust architectures, to emerging agent ecosystems.

Develop working proof-of-concepts, APIs, services, and demonstrations to validate new technical approaches.

Evaluate technical trade-offs across AI agents, identity infrastructure, cloud services, and network systems.

Collaborate with product and engineering leaders to assess feasibility, commercial relevance, and opportunities for product development.

Help establish architectural patterns and technical foundations for promising prototypes.

What We're Looking For Strong hands-on software engineering experience, with demonstrated ability to independently design and build working systems.

Experience building applications using LLMs, agentic frameworks, tool calling, or multi-agent architectures.

Familiarity with identity, authentication, authorization, service discovery, or distributed systems.

Ability to learn and apply emerging protocols such as MCP and A2A.Strong technical judgment and an ability to navigate ambiguous, open-ended problems.

Experience rapidly developing prototypes, proof-of-concepts, or early-stage products.

Solid backend development skills in Python, Go, Java, or Type Script.

Understanding of APIs, cloud infrastructure, and modern software architectures.

A curious, experimental mindset and the ability to connect technical possibilities with business opportunities.

Strong communication skills and comfort working with cross-functional stakeholders.

Nice to Have

Experience with agent identity, verifiable credentials, decentralized identifiers, or agent registries.

Background in enterprise identity, IAM, SSO, OAuth, or zero-trust security.

Experience in telecom, 5G core, NTN, network APIs, IoT, or network equipment.

Experience at an early-stage startup, research lab, or advanced technology team.

Contributions to open-source projects involving AI agents, identity, or agent protocols.

Experience taking an experimental project from concept through customer or partner…