AI Software Engineer
IOMETE
WorldwideremotePosted 6 days ago
Skill Required
Artificial-Intelligence-EngineerSoftware-EngineerAI-EngineerMachine-Learning-EngineerBackend-EngineerAI-ML-Software-EngineerAI-Software-EngineeringAI-Integrated-Software-EngineerAI-LLM-Software-EngineerML-Software-EngineerAI EngineerSoftware EngineerSoftware DeveloperAIsoftware engineeringSystem DesigntroubleshootingEngineeringDatabricksKubernetesSnowflakebuildingwrittenPythonKotlindesignSparkCloudjQueryRustJavaHelmSassGenerative AISQLandGoFulltime
Key highlights
- Competitive compensation and stock options
- 5+ years of software engineering experience
- Time zone overlap with Amsterdam (CET/CEST)
- Deep understanding of LLM-based systems in production
Role overview
IOMETE is the sovereign data platform for the AI era, providing a data lakehouse built on Apache Spark and Apache Iceberg for regulated industries. We are seeking a highly skilled and motivated AI Software Engineer to build agents that run inside the customer's environment, develop the framework that defines and evaluates those agents, and tackle challenges ranging from connecting AI tools to the lakehouse to diagnosing Spark applications. The AI team is building 'Lakehouse Intelligence,' which includes the MCP Server for AI Agents, the Model Gateway, agents for Spark application diagnosis, troubleshooting, and onboarding, and SQL AI Functions. Future work includes fine-tuning and building custom models small enough to run inside customer deployments.
Responsibilities
- Contribute to and maintain IOMETE's AI services, including the MCP Server for AI Agents, the Model Gateway, SQL AI Functions, and lakehouse-specific agents (such as Spark Application Diagnosis) and their harness.
- Build AI enablers: extend the IOMETE lakehouse and platform to support more AI-powered features, for example by making Spark job logs, query history and table metadata available to them.
- Be hands-on with Kubernetes, including the Helm charts that ship our AI services into each customer's deployment.
- Collaborate closely with external customer engineering teams to support integrations, troubleshoot complex issues and provide guidance for successful adoption of our platform.
- Participate in design discussions about agents, model access, evaluation, and overall systems architecture.
- Write the tests, docs and release notes for what you build. A feature is done when it has shipped with all of them.
- Review your teammates' work and provide feedback.
Requirements
- 5+ years of professional experience in software engineering (we’re open to exceptional candidates with less experience who demonstrate deep systems knowledge and impact).
- Deep understanding of LLM-based systems in production – tool calling, structured output, retrieval, evaluation, and how they fail.
- Familiarity with distributed systems and their challenges (e.g., data consistency, fault tolerance, scheduling).
- Fluency in English, both written and verbal — this role involves working with international customers and partners.
- Based in a time zone that overlaps Amsterdam working hours (CET/CEST).
Nice to have
- Production experience with Python, Go, Kotlin, or Java.
- Hands-on experience across the AI stack: agents and their evaluation, tool protocols such as MCP, model routing and serving, and fine-tuning.
- Prior exposure to data platforms like Snowflake, Databricks, etc.
- Experience with Apache Spark (especially tuning Spark jobs), Apache Iceberg, or contributing to open-source compute engines.
- Hands-on experience with Kubernetes and Helm.
Benefits
- Exciting projects and challenges.
- Opportunity to work with cutting-edge technology.
- Ability to play a key role in shaping the direction, culture, and architecture of a young & growing engineering organization.
- Competitive compensation and stock options.
Additional details
- Hiring process: Introduction call (30 mins max), Technical conversation with a challenge (90 mins), Team interview (60 mins), Offer.
- Originally posted on Himalayas