Skylo Applied AI Engineer at Skylo focusing on agentic AI, identity, and network technologies. Responsible for designing and building agentic AI systems and developing prototypes to demonstrate business value.
Responsibilities
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.
Explore 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.
Qualification
Familiarity with identityUnderstanding of APIsA curiousExperience with agent identityBackground in enterprise identityExperience in telecomExperience at an early-stage startupAdvanced degree in AIWhat Success Looks Like
Required
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 TypeScript.
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.
Preferred
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 validation.
Advanced degree in AI, computer science, networking, or a related field.
