Applied AI Engineer, Agentic Systems & Identity

The role

You will explore emerging applications of agentic AI across telecommunications, identity, discovery, and network services. You will design and build agentic AI systems, develop proof-of-concepts, and evaluate technical trade-offs to identify business opportunities.

What you will do

• 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 to emerging agent ecosystems.
• Develop working proof-of-concepts, APIs, services, and demonstrations.
• Evaluate technical trade-offs across AI agents, identity infrastructure, cloud services, and network systems.
• Collaborate with product and engineering leaders to assess feasibility and commercial relevance.
• Help establish architectural patterns and technical foundations for promising prototypes.

Required qualifications

• Strong hands-on software engineering experience.
• 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.

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 validation.
• Advanced degree in AI, computer science, networking, or a related field.

Benefits

• Competitive compensation packages including a stock option-based equity program
• Comprehensive benefits including medical, dental, vision, and retirement plan
• Monthly allowances for wellness and education reimbursement
• A generous time-off policy, holidays, and the opportunity to temporarily work abroad
• Access to a world-class team across software, hardware, chipsets, telecom, satellite, and network virtualization

About the company

Skylo has pioneered a standards-based approach to satellite connectivity, connecting smartphones and IoT devices directly to satellites. Their direct-to-device service is live on millions of activated devices across five continents.