Backend Engineer, AI at Bjak

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

19 Jun, 26

Salary

0.0

Posted On

21 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Backend Engineering, AI, Inference, Orchestration, Production Systems, APIs, Latency Optimization, Throughput Optimization, Monitoring, Logging, Alerting, Incident Response, LLMs, Embeddings, Multimodal, Distributed Systems

Industry

Software Development

Description

About the Role A1 is building a proactive AI system that carries work forward across conversations, tools, and time. As a Backend Engineer, AI, you own the inference and orchestration layer that powers every AI interaction in the product. Your work sits between models and users, where latency, correctness, reliability, and cost directly impact real-world experience. You will build and operate production systems that turn model capability into fast, stable, observable APIs used across mobile and desktop clients. Focus Build and operate backend systems that serve AI-powered features in production. Design inference pipelines, orchestration layers, and service boundaries around models. Own production concerns: monitoring, logging, alerting, and incident response. Optimize latency and throughput across inference, caching, batching, and streaming. Ideal Experiences Strong backend engineering fundamentals in production environments. Experience running high-throughput, low-latency services. Familiarity with AI inference patterns (LLMs, embeddings, multimodal). Comfortable debugging distributed systems under load. Bias toward shipping and learning from production behavior. Outcomes Backend systems run reliably at scale, handling production AI traffic with low latency and high throughput. APIs are stable, clear, and support seamless integration with frontend and ML systems. Production incidents are quickly detected, diagnosed, and resolved, minimizing user impact. Iterative improvements based on real usage continuously increase system performance and reliability. Tech Stack Python NodeJs Pytorch OpenAI / Anthropic / open-source LLMs SQl & noSQL Kubernetes Docker How We Work The best products today in the world were built by small, world class teams. We are a high talent density and hands-on team. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical product Interview process If there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews. Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite. We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.

Responsibilities

The engineer will build and operate backend systems that serve AI-powered features in production, focusing on designing inference pipelines, orchestration layers, and service boundaries around models. Key duties include owning production concerns like monitoring, logging, alerting, and incident response while optimizing latency and throughput across various components.