Sr AI Engineer (Backend & Platform)

Arionkoder; Tandil; Remote; ARS 128,093,000 - 256,186,000; Full time

Benefits offered by this job

Service fee (Monthly USD)

Paid time off, 20 business days

Caregiver Time Off

Dynamic remote work culture

Entrepreneurial environment

Job summary

Arionkoder is seeking a contract AI engineer with backend or full stack background to design, build, deploy, and operate AI agents in production. You will work across tolling and compliance data, shipping agents that affect revenue, safety, and compliance.

Remote from LATAM with overlap to US Eastern hours. You will own end-to-end production paths, including infrastructure as code, CI/CD, monitoring and evals.

Qualifications

• Backend or full stack background with hands‑on AI engineering experience.
• Track record of shipping agents and AI features to production with real users.
• Own full production path: IaC (Terraform), CI/CD, deployment and monitoring.
• Cloud experience in AWS and/or Azure; container orchestration (Kubernetes/ECS).
• Use evals and data to decide when an agent is ready to ship and measure success.
• Strong Python or TypeScript; experience with LLM APIs and related tools.
• Experience with agent frameworks or SDKs and knowing when not to use one.
• Independent work style, gathering requirements from non‑engineering stakeholders; honest about unknowns.
• Advanced English, written and oral.

Responsibilities

• Design, build and deploy AI agents end to end from spec to production.
• Ship early and iterate based on real user feedback.
• Collaborate with product, support and engineering to turn problems into clear requirements.
• Own the infrastructure and delivery path of the agents: IaC, CI/CD and deployment.
• Monitor, evals, cost and failure handling after going live.
• Share best practices in agentic engineering to move the team faster.
• Define work for agents, verify results, and run multiple agents in parallel.
• Improve stability by refining setup and packaging reusable skills for the team.

Skills

Backend engineering

Full stack development

AI engineering

Infrastructure as code

CI/CD

Cloud (AWS/Azure)

Kubernetes/ECS

Python

TypeScript

LLM APIs

Agent frameworks/SDKs

Tools

Terraform

AWS

Azure

Kubernetes

ECS

Python

TypeScript

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 backend or full stack background who builds, deploys and operates AI agents in production, 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.
• Own the infrastructure and delivery path of the agents you build: infrastructure as code, CI/CD and deployment.
• 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

• Backend or full stack engineering background, with recent hands-on AI engineering experience.
• A track record of shipping agents and AI features to production, with users who rely on them today.
• You own the full path to production yourself: infrastructure as code (Terraform), CI/CD, deployment and monitoring.
• Cloud experience in AWS and/or Azure, including container orchestrators (Kubernetes or ECS/Azure .
• 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 or TypeScript, 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

• Frontend experience on existing production platforms.
• Databricks.
• LLM observability and eval tools.
• Background in logistics, transportation or compliance.

Notes

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

Remote, LATAM

• Overlap with 9am–5pm US Eastern

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.