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Design, build and deploy AI agents end to end, from spec to production
Build agents and AI features on top of client data in Databricks
Own shipped agents: monitoring, evals, cost and failure handling
Ship early and iterate on feedback from real users
Turn loose problems from non-engineering stakeholders into clear requirements
Design, build and deploy AI agents end to end, from first spec to production.
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.
Ship early and iterate on feedback from real users.
Work with product, support and engineering stakeholders to turn loose problems into clear 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.
Strong Python, with experience building with LLM APIs and MCP.
Cloud experience in Azure or AWS.
From the employer’s posting.
Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 1
Early. Similar jobs usually come down between day 6 and day 69.
From 4,284 similar postings that came down. Coming down is not always a hire.
3 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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.
- 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.
- 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.
- 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.
- Processing complex documents with LLMs (OCR, extraction). - MLOps tools such as MLflow. - Background in logistics, transportation or compliance.
Nice to have: - Owning deployment of what you build: CI/CD, infrastructure as code (Terraform) and monitoring. - Processing complex documents with LLMs (OCR, extraction).
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We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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:
How you’ll work:
Requirements:
Nice to have:
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.
Perks
💵 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.
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LATAM
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.
Perks 💵 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.
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