Brain Technologies, Inc. · 3 weeks ago
Backend AI Engineer
San Mateo, CA
Full-time
Onsite
Mid LevelBrain Technologies is an innovative AI startup focused on redefining human-technology interaction through their Natural OS and Natural AI Phone. The Backend AI Engineer will be responsible for designing and operating core services for the AI platform, collaborating with various engineering teams to ensure the reliability and scalability of backend systems.
Artificial Intelligence (AI)Information TechnologyNatural Language ProcessingSoftware
Responsibilities
Architect and implement scalable backend services that process high-volume, low-latency AI and user-intent traffic
Design and maintain APIs used by Natural OS, the AI Phone, and cloud AI orchestration systems
Work with distributed systems, streaming pipelines, vector stores, and event-driven architectures
Integrate LLM-powered features safely and efficiently (rate-limiting, prompt-pipeline design, real-time personalization, caching)
Ensure backend reliability through automated testing, observability, and performance tuning
Own cloud infrastructure used for device-to-cloud communication, LLM routing, metrics, and model-runtime services
Implement and maintain Infrastructure-as-Code (Terraform, Ansible, Docker/K8s, GKE/GCP)
Build CI/CD pipelines for backend and mobile releases, ensuring fast and safe iteration cycles
Drive system observability (logging, metrics, tracing) across both backend and device fleets
Improve security practices, secrets management, and compliance standards in a multi-region environment
Participate in on-call rotations, incident response, and post-mortems for critical systems
Work closely with AI/ML engineers on model integration, inference load balancing, and data-flow design
Collaborate with mobile OS engineers to design reliable protocols for AI-driven interactions between device and cloud
Influence long-term platform architecture and take ownership of key capabilities as we scale
Qualification
Required
Strong programming skills in one or more languages (Node.js, Go, Python preferred)
Experience designing distributed backend systems and scalable APIs
Proficiency with relational and non-relational databases (Postgres, MySQL, DocumentDB, Redis, vector DBs a plus)
Experience with containerized infrastructure (Docker, Kubernetes, GKE)
Experience with IaC tooling (Terraform, Ansible) and cloud platforms (GCP or AWS)
Familiarity with LLM-powered systems or interest in learning quickly (OpenAI APIs, RAG patterns, prompt pipelines, real-time AI services)
Preferred
Building and operating high-traffic or real-time systems
Experience with observability stacks (Prometheus, Grafana, ELK, OpenTelemetry)
Exposure to edge devices, mobile backends, or hybrid device-cloud architectures
CI/CD pipeline design for fast-release environments
Performance profiling, optimization, and cost-effective scaling of AI inference workloads
Benefits
Competitive salary & benefits.
Flexible schedule, paid holidays + vacation.
Catered lunches every Monday and a fully stocked kitchen.
Regular off-sites and team bonding trips.
High autonomy and the ability to shape foundational systems in a major product launch.
Company
Brain Technologies, Inc.
At Brain.ai, we build computers that think.
Founded in 2015
51-200 employees
H1B Sponsorship
Brain Technologies, Inc. has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (15)
2024 (15)
2023 (13)
2022 (16)
2021 (8)
2020 (26)
Funding
Current Stage
Growth StageTotal Funding
$81M2024-02-25Convertible Note· $30M
2021-07-28Series Unknown· $50M
2020-06-01Convertible Note
Leadership Team
Jerry Yue
Founder and CEO
Gleb Kuznetsov
Chief Design Officer
Recent News
Company data provided by crunchbase