Backend/Systems Engineer

Reposted 7 Days Ago
Be an Early Applicant
Austin, TX
In-Office
40K-130K Annually
Mid level
Artificial Intelligence • Cloud • Machine Learning • Software
The Role
As a Backend/Systems Engineer, you'll design and build scalable backend systems for real-time, privacy-preserving applications, focusing on identity management, secure communications, and edge computing while ensuring high reliability and performance.
Summary Generated by Built In

About Us:

webAI is pioneering the future of artificial intelligence by establishing the first distributed AI infrastructure dedicated to personalized AI. We recognize the evolving demands of a data-driven society for scalability and flexibility, and we firmly believe that the future of AI lies in distributed processing at the edge, bringing computation closer to the source of data generation. Our mission is to build a future where a company's valuable data and intellectual property remain entirely private, enabling the deployment of large-scale AI models directly on standard consumer hardware without compromising the information embedded within those models. We are developing an end-to-end platform that is secure, scalable, and fully under the control of our users, empowering enterprises with AI that understands their unique business. We are a team driven by truth, ownership, tenacity, and humility, and we seek individuals who resonate with these core values and are passionate about shaping the next generation of AI.

What you’ll do

You’ll build the “small but serious” backend systems that power real-time, privacy-preserving product experiences like identity, sync, encrypted state, messaging/presence, and group conversations without defaulting to a giant, monolithic backend. You’ll think in terms of edge + device + cloud as a single system, and you’ll ship pragmatic, scalable coordination services that keep products fast, reliable, and secure.

Responsibilities

  • Design and build identity & session systems

    • Implement auth flows, device registration, key management integrations, token/session lifecycle, and account recovery patterns.

    • Support multi-device identity and secure device-to-account bindings.

  • Ship sync and encrypted state primitives

    • Build APIs and services that enable state sync across devices (event-based or state-based replication).

    • Partner with client engineers to support end-to-end encrypted (E2EE) state where the server coordinates without needing plaintext access.

  • Implement lightweight cloud coordination

    • Create “coordination services,” not “big backend”: rendezvous, discovery, sequencing, fan-out, rate-limits, abuse controls, and reliability tooling.

    • Prefer minimal durable state and clear boundaries; push logic to the edge/client when appropriate.

  • Build real-time messaging, presence, and group chat capabilities

    • Implement reliable messaging pipelines (delivery semantics, retries, ordering strategies, idempotency).

    • Support presence and group membership (joins/leaves, device fan-out, read receipts/typing signals as needed).

    • Integrate with pub/sub or streaming systems, and tune for latency.

  • Edge-aware systems thinking

    • Design for intermittent connectivity, offline-first behavior, device constraints, and high tail-latency networks.

    • Make trade-offs explicit: consistency vs availability, ordering vs throughput, durability vs cost.

  • Operate what you build

    • Add observability (metrics, tracing, structured logging), define SLOs, and participate in on-call/incident response (lightweight rotation).

    • Improve reliability: backpressure, load shedding, graceful degradation, and safe rollouts.

What we’re looking for

  • 3–6 years of backend/systems engineering experience (or equivalent impact).

  • Strong fundamentals in distributed systems: consistency models, replication, idempotency, failure modes, and performance tuning.

  • Experience building production services in at least one systems-friendly language (e.g., Go, Rust, Java, C++, Python) and comfort reading others.

  • Familiarity with real-time systems: WebSockets, gRPC streaming, pub/sub, queues, or event-driven architectures.

  • Experience designing APIs and data models with security and privacy in mind.

  • Working knowledge of cloud infrastructure (AWS/GCP/Azure), containerization, and CI/CD.

Nice to have

  • Experience with E2EE concepts: key management, envelope encryption, forward secrecy (conceptual), or secure sync patterns.

  • CRDTs / operational transforms / event sourcing / append-only logs for sync & collaboration.

  • Experience with presence systems, chat/group membership, and “fan-out” patterns at scale.

  • Edge computing or hybrid architectures (device + edge + cloud), and performance work on tail latency.

  • Security mindset: threat modeling, abuse prevention, rate limits, and secure-by-default service design.

We at webAI are committed to living out the core values we have put in place as the foundation on which we operate as a team. We seek individuals who exemplify the following:

  • Truth - Emphasizing transparency and honesty in every interaction and decision.

  • Ownership - Taking full responsibility for one’s actions and decisions, demonstrating commitment to the success of our clients.

  • Tenacity - Persisting in the face of challenges and setbacks, continually striving for excellence and improvement.

  • Humility - Maintaining a respectful and learning-oriented mindset, acknowledging the strengths and contributions of others.

Benefits:

  • Competitive salary and performance-based incentives.

  • Comprehensive health, dental, and vision benefits package.

  • 401k Match (US-based only)

  • $200/mos Health and Wellness Stipend

  • $400/year Continuing Education Credit

  • $500/year Function Health subscription (US-based only)

  • Free parking, for in-office employees

  • Unlimited Approved PTO

  • Parental Leave for Eligible Employees

  • Supplemental Life Insurance


webAI is an Equal Opportunity Employer and does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of webAI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations and ordinances where a particular employee works.

Top Skills

AWS
Azure
C++
GCP
Go
Java
Python
Rust
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The Company
HQ: Austin, Texas
49 Employees
Year Founded: 2020

What We Do

webAI is designed to streamline the training, deployment, and execution of AI models by offering a unified execution layer for AI that seamlessly integrates cloud-based services and local devices. Our goal is to revolutionize the AI industry by laying the foundation for the development of Super Intelligence (SI).

By approaching AI execution in a heterogeneous manner, we aim to create scalable AI products that are industry leading. Our platform is dedicated to enhancing the performance and accessibility of AI technologies, making them more efficient and user-friendly for both businesses and individuals.

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