About the Role

The Enterprise Agents Engineering Team at SpaceXAI 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.

Equal Opportunity Employer

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

Requirements

Rust or C++ expertise

You must have expert knowledge of either Rust or C++.

Distributed systems experience

Experience in designing, implementing, and maintaining reliable and horizontally scalable distributed systems is required.

Database knowledge

You should have experience operating databases like PostgreSQL, Clickhouse, and CockroachDB.

Service observability

Knowledge of service observability and reliability best practices is essential.

Nice to Have

Python expertise

Expert knowledge of Python is preferred.

Containerization skills

Experience with Docker, Kubernetes, and containerized applications is a plus.

TypeScript knowledge

Expert knowledge of TypeScript is beneficial.

gRPC experience

Expert knowledge of gRPC, including various streaming methods, is advantageous.

LLM APIs experience

Hands-on experience with LLM APIs, embeddings, or RAG patterns is a plus.