Описание

IOMETE is hiring a remote AI Software Engineer to build AI services and agents for its data lakehouse platform. The role involves developing an MCP server, model gateway, SQL AI functions, and Spark diagnosis agents, along with Kubernetes deployment and customer integration work.

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
Production experience with Python, Go, Kotlin, or Java is a big plus
Familiarity with distributed systems and their challenges (e.g., data consistency, fault tolerance, scheduling)
Fluency in English, both written and verbal
Based in a time zone that overlaps Amsterdam working hours (CET/CEST)

Nice to have

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

We offer

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

Hiring process

Introduction call — 30 mins max
Technical conversation (with a challenge) — 90 mins
Team interview — 60 mins
Offer