Applied AI Engineer, Agentic Systems & Identity
Role Overview
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.
Key Skills for This Role
Full Job Posting
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 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, 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 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.
- What Success Looks Like
- You'll be successful if you can independently identify promising technical opportunities, build compelling demonstrations, and help Skylo determine which emerging agentic AI capabilities have the potential to become valuable products or services.
What Success Looks Like
You'll be successful if you can independently identify promising technical opportunities, build compelling demonstrations, and help Skylo determine which emerging agentic AI capabilities have the potential to become valuable products or services.
What We Offer
- With employees working across three continents, Skylo is proud to be an equal opportunity employer dedicated to building an inclusive and diverse workforce. Our worldwide culture encourages a flexible approach to work, and we offer an attractive range of 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
- A once-in-a-career opportunity to operate the world's first commercial, live direct-to-device satellite network
- Access to a world-class team across software, hardware, chipsets, telecom, satellite, and network virtualization
- Open, transparent, inclusive culture that blends Silicon Valley, Nordic, and South Asia characteristics
- The estimated base salary range for this role is $170,000 — $185,000. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant training.
- In addition to base salary, Skylo offers a competitive benefits package including health insurance, retirement plans, paid time off, and equity options.
EEO Statement
Skylo is an equal-opportunity employer and we celebrate diversity. We do not discriminate based on race, religion, color, ancestry, national origin, caste, sex, sexual orientation, parent or caregiver status, political affiliation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service consistent with applicable federal, state, and local laws.
We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. Please let us know if you need assistance or accommodation due to a disability.
Qualifications
- 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.
Responsibilities
- 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.
- Help establish architectural patterns and technical foundations for promising prototypes.
- 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.
About Skylo Technologies
Private telecommunications company providing satellite connectivity for smartphones, vehicles, and IoT devices where cellular networks are unavailable.
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