Backend Engineer - Enterprise

xAI is hiring a Backend Engineer - Enterprise in Tokyo, Japan. Level rates it ; you can apply on xAI.

Level's read on this job

Level rates this software engineer role Works on AI ●●●○: the daily work is on AI products, without building the model.
The posting mentions RAG among its tools and skills.
xAI has 296 other open roles on Level.

AI in this role

rag

SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. Today, SpaceX is actively developing the technologies to make this possible, with the ultimate goal of making life multiplanetary and expanding consciousness to the stars.

SpaceXSI is building Super Intelligence to help humanity understand the universe. Our teams are building the full Super Intelligence stack: from our Colossus supercomputers, to Grok models, to our suite of applications, including Grok Bot, Grok Build, Grok Imagine, Grok Voice, and X. We're creating a powerful flywheel where more compute trains better models, better models power more useful products, and what we learn from people using those products shapes what we build next.

ABOUT THE ROLE:

The Enterprise Agents Engineering Team at SpaceXSI is a team of builders solving the hardest problems in applied AI: integrating with messy systems, orchestrating complex workflows, and harnessing AI to transform business operations. We build full-stack solutions with ownership of end-to-end product execution from ideation to deployment, collaborating closely with our team to incorporate cutting-edge AI advancements into robust and reliable user-centric solutions. Through an iterative development process, we work hand-in-hand with customers to gather feedback, refine features, and evolve products to address real-world challenges.

BASIC QUALIFICATIONS:

Expert knowledge of either Rust or C++,
Experience in designing, implementing, and maintaining reliable and horizontally scalable distributed systems,
Knowledge of service observability and reliability best practices,
Experience in operating commonly used databases such as PostgreSQL, Clickhouse, and CockroachDB

PREFERRED SKILLS AND EXPERIENCE:

Expert knowledge of Python,
Experience with Docker, Kubernetes, and containerized applications,
Expert knowledge of TypeScript,
Expert knowledge of gRPC (unary, response streaming, bi-directional streaming, REST mapping),
Hands-on experience with LLM APIs, embeddings, or RAG patterns
Track record of delivering user-facing software at scale.

SpaceXSI is an equal opportunity employer. For details on data processing, view our Recruitment Privacy Notice.

How we rate this

Backend Engineer - Enterprise at xAI rates 66 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Backend Engineer - Enterprise is an open job at xAI.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in Tokyo, Japan.
The job was posted on December 17, 2025.
Applications are handled by xAI. Apply on xAI

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

RAG

Also common in software engineer jobs at this level

AWS Java AI agents React Machine learning Google Cloud

Pay

Typical software engineer job: $168k

This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs

Questions you could be asked

How would you design a retrieval step so the model answers from real data instead of guessing?
Describe a typical day in a role like this one: which parts run through AI directly?
If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

List these exact terms on your resume: RAG. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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