Spice AI
Forward Deployed Engineer (Rust)
Bellevue, Washington · Internship
Sponsorship not specified$30k-$60kDetected 92 days ago
Distributed SystemsGitSQLElasticsearchSnowflakeDatabricksAzureCloud PlatformsData EngineeringCustomer SuccessCommunicationProblem Solving
About the role
- This new generation of applications need fast, secure access to data across disparate systems, the ability to search and reason over that data, and infrastructure that's reliable enough to run in production.
- Today, teams often need to piece together query engines, search systems, caches, and AI tooling, adding significant complexity along the way.
- include deploying, optimizing, and extending Spice.ai solutions in production environments, while collaborating on product improvements.
Responsibilities
- A thinker who challenges the status quo, rejects the current world model, and builds better for everyone.
- Building data-driven AI applications and agents is too complex, even for advanced developers.
- At Spice AI, we simplify this by unifying query federation, search, and AI into a single runtime for building intelligent applications.
- Our mission is to make building AI-powered software as easy building a modern web application and help developers build the next generation of applications.
Requirements
- 5+ years in engineering roles, with focus on deploying data, search, and AI systems in enterprise environments.
- Experience designing, implementing, and scaling production database engines, distributed systems, search engines, and data & AI pipelines.
- Experience with Apache infrastructure, CNCF stack, or cloud-native development.
- Deep knowledge of databases, data warehousing, data lakes, search, virtualization, and mesh principles.
- Proficiency with Databricks, Snowflake, Starburst, Dremio, ElasticSearch, or similar.
- Familiarity with data storage like HDFS, Amazon S3, and relational databases.
- Knowledge of data security, privacy, authentication, authorization, and encryption.
Nice to have
- Contributions to open-source projects preferred.
Skills
- 30-60 days: Take ownership of a customer deployment area, from architecture to production rollout.
- 60-90 days: Propose and execute a technical strategy for scaling customer integrations.
Compensation
- $30k-$60k
Company info
- Looking For
- An exceptional engineer.
- A problem solver who starts with customer problems and solves them with technology.
- A positive force who asks what's possible instead of focusing on limitations.
- Someone who views work as meaningful, not just a job.
- Comfortable with ambiguity and unknowns, leading by creating clarity.
- Passionate about high performance with high standards.
- We offer both open source and fully managed cloud deployments.
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This listing is sourced directly from Spice AI's careers page and normalized into a canonical job model.