Sr AI Engineer (ML & Data)

Arionkoder; United States; Remote; USD 96,000 - 165,000; Full time

Benefits offered by this job

Monthly USD Service Fee

20 business days of paid Agreed Time O

Caregiver Time Off

Dynamic remote work culture

Entrepreneurial environment

Job summary

Arionkoder is seeking a contract AI engineer to design, build, deploy, and operate AI agents in production on large datasets. You will ship features quickly, iterating with real users and coordinating with product, support, and engineering teams.

The role emphasizes agent development on client data using Databricks, with ownership of live performance, costs, and reliability. The position requires hands-on ML/AI engineering, strong Python, and experience with LLM APIs.

Qualifications

• Machine learning or AI engineering background.
• Hands-on experience with building and shipping AI features to production.
• Strong Python development skills and working with LLM APIs.

Responsibilities

• 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 problems into clear requirements.
• Build agents on top of client data in Databricks.
• Own monitoring, evals, cost and failure handling of what you ship.
• Spread best practices in agentic engineering.

Skills

Machine learning

Python

Independent work

English proficiency

Tools

Databricks

Azure

AWS

Job description

Arionkoder is an AI consulting firm helping companies build, embed, and own AI systems that drive real business outcomes. We combine Product Development, Artificial Intelligence, and Team Augmentation to craft digital products and solutions that create lasting impact — guided by a human‑centric approach and a commitment to pushing the boundaries of what technology can do.

We’re hiring a contract AI engineer with a machine learning background who builds, deploys and operates AI agents in production on top of large datasets, using leading‑edge agentic development practice to ship quickly. Our client builds AI agents and products for the trucking and fleet compliance space, used by both its customers and its internal teams. Agents work across tolling and millions of compliance documents, on top of more than 10 years of toll, inspection, safety and vehicle data. What you ship affects revenue, safety and compliance directly.

Responsibilities:

• 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.

Requirements:

• 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.

Important:

Remote, LATAM · Overlap with 9am–5pm US Eastern

Interviews are hands‑on: expect to walk through something you’ve built and shipped, in detail.

Benefits:

• Monthly USD Service Fee
• 20 business days of paid Agreed Time Off—Annual + 6 Local Holidays
• Caregiver Time Off
• A dynamic remote work culture. You can work from anywhere!
• An entrepreneurial environment.

About us

In 2010, our founders dreamed up a company that could positively impact the world. Since then, we've been in permanent evolution: from business consulting to innovation and design, and now to building amazing digital products powered by AI. We scaled globally, launched AI Labs and Reshape Studios, and claimed our space as an AI consulting firm — helping organizations move from pilots to production through accountable AI. Today, we're expanding our impact across industries, driving real AI adoption through accountability, governance, and value at scale. Dreamers first, builders always.