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# Sr AI Engineer (ML & Data)

- **Company:** Arionkoder LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Python (Programming Language), Machine Learning, Software Construction, Large Language Models, Agentic-AI, Machine Learning Operations, Terraform, Data Pipelines, Databricks
- **Published:** November 7, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/px8fb823so

## About the Role

* Machine learning or AI engineering background.
 * A track record of shipping agents and AI features to production, with users who rely on them today.
 * Hands-on experience with Databricks, developing and managing batch and streaming pipelines.
 * Cloud experience in Azure or AWS.
 * You use evals and data to decide when an agent is ready to ship and to measure whether it's succeeding once live.
 * Strong Python, with experience building with LLM APIs and MCP.
 * Experience with agent frameworks or SDKs, and knowing when not to use one.
 * You already use coding agents as your main way of building software.
 * You work independently, gather requirements from non-engineering stakeholders and give specific answers. When you don't know something, you say so.
 * Advanced English, written and oral.

Nice To Have

 * Owning deployment of what you build: CI/CD, infrastructure as code (Terraform) and monitoring.
 * Processing complex documents with LLMs (OCR, extraction).
 * MLOps tools such as MLflow.
 * Background in logistics, transportation or compliance.

## Description

* Design, build and deploy AI agents end to end, from first spec to production.
 * Ship early and iterate on feedback from real users.
 * Work with product, support and engineering stakeholders to turn loose problems into clear requirements.
 * Build agents and AI features on top of the client's data in Databricks.
 * Own what you ship once it's live: monitoring, evals, cost and failure handling.
 * Help the team move faster by bringing in and spreading best practices in agentic engineering.

How You'll Work

 * Use coding agents as your main way of building software: define the work, check what agents produce and make the calls that matter.
 * Break work into pieces an agent can finish and you can verify, and run several agents in parallel.
 * Rely on tests, CI and agent review so speed doesn't cost quality.
 * When something goes wrong, improve your setup so it doesn't happen again, and package what works as reusable skills for the team.