---
title: 'Senior Machine Learning Engineer at Arionkoder'
canonical: 'https://feeny.ai/job/senior-machine-learning-engineer-arionkoder-latin-america-mrp30ct8cdr2'
type: 'job'
last_seen: '2026-11-03'
---

# Senior Machine Learning Engineer at Arionkoder

- **Company:** Arionkoder
- **Location:** Latin America
- **Posted:** 2026-10-14
- **Last confirmed live:** 2026-11-03
- **Apply:** https://job-boards.greenhouse.io/arionkoder/jobs/5453077008

## 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 looking for a Senior AI Engineer to build the AI components of a governed data foundation used by AI agents, applications and business teams.You will work inside AI Labs, where most engagements start as an ambiguous business problem (complex legal documents, scanned and digital; extraction, classification, assistants, agents) and end as a working system with measurable quality. Hence, this is a hybrid of engineer and scientist. You write production-grade Python and ship it through CI/CD, and you treat model quality as an engineering discipline: you do not say "it works" — you show the eval. Curated datasets, graded criteria, baselines, regression thresholds wired into CI. You know that an LLM feature without evals is an untested feature, and you build the measurement before you build the demo.

You are vendor-agnostic and cost-aware: you choose models based on business constraints, and design solutions between the whole catalog of in-context learning options and new available tools. You use AI tools daily to accelerate your own work, with the judgment to know when to trust the output and when not to. Because we are a consultancy company, you are also client-facing: you demo live, explain trade-offs to non-technical stakeholders, size effort honestly in pre-sales, and turn what you learn into assets the rest of the company can reuse. You might be needed to record videos, design prototypes, and help all through the creative process of a solution.

You'll work in a small team (solution architect, data engineer, full-stack engineer, data quality lead, product and project managers) alongside the client's engineers, who will run what you build.

Required Qualifications

- 5+ years of professional software engineering experience, with production ownership — not notebooks handed off to someone else.
- 2+ years building LLM systems used by real users or delivered to clients.
- Advanced Python: clean, tested, reviewable code; async, typing, packaging, dependency management.
- Structured extraction from unstructured documents.
- Hands-on RAG experience: chunking, embeddings, vector stores, reranking and the ability to explain how retrieval quality was measured.
- Hands-on Agents with tool use and MCP experience.
- Awareness of LLM security and privacy risks: prompt injection, data leakage, PII handling in a client-data context.
- Experience designing and running evals: building eval datasets, defining graded criteria, establishing baselines and regression thresholds, and using them as a release gate. Candidates who have only eyeballed outputs will not pass this bar.
- CI/CD and engineering hygiene: Git, automated tests, reproducible builds, containerization; ability to ship without a platform team holding your hand.
- Experience with at least one LLM orchestration framework (LangChain/LangGraph, LlamaIndex, Pydantic AI, or equivalent) and the judgment to work without one.
- Cloud deployment of AI/ML workloads, preferably AWS (Bedrock, SageMaker, Lambda, ECS, S3) or demonstrable equivalent on GCP/Azure.
- Practical understanding of cost and latency engineering for LLM systems: token accounting, caching, model routing, streaming.
- AI-first working style: daily hands-on use of AI coding tools (Claude Code, Cursor, Copilot, or similar) with the judgment to know when to trust the output.
- Senior judgment: operate autonomously, challenge an ill-posed problem, prioritize by risk and business impact, own outcomes.
- Excellent written and spoken English; comfortable in a fully remote, distributed, client-facing team.

Preferrable: Experience with AI in Databricks environments. Permission-aware or multi-tenant retrieval for customer-facing AI. Experience with an eval or LLM-observability framework (LangSmith, Langfuse, Weave, Braintrust, Arize Phoenix, DeepEval, Ragas, or similar). Knowledge pipelines that stay in sync with changing sources, with human review. Databricks and MLflow (tracing, evaluation). Contracts, finance or regulatory documents. Experience building LLM-as-judge graders and validating judge/human agreement. MLOps tooling: MLflow, Weights & Biases, DVC, model/prompt versioning and registries. Serving open-weight models (vLLM, Ollama, Bedrock/SageMaker endpoints) and reasoning about GPU cost. Legal, financial, or other regulated-domain document experience. Consulting or client-facing delivery experience; live demos, discovery, pre-sales. Public evidence of craft: open-source contributions, papers, talks, or a track record of writing about applied AI.

## 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.

## About Arionkoder

## Company Overview
- **One-liner**: Arionkoder is an AI consulting firm that helps organizations craft AI strategy and embed trustworthy, production-ready AI systems they own and operate.
- **Entity Type**: Private (bootstrapped; no disclosed funding rounds)
- **Headquarters**: Boston, Massachusetts, United States (with home base in Montevideo, Uruguay and offices across Latin America)
- **Founded**: 2020
- **Founders**: Martin Bouza (CEO & Co-founder), Mario Tucci (Co-founder)

## Core Business
- **Primary industry**: IT Services and IT Consulting, AI consulting, AI strategy & implementation
- **Target customers**: B2B, enterprise and mid-market organizations across industries (pharma, logistics, oil & gas, finance, etc.)
- **Mission/purpose**: “Conduct AI toward the good, to serve humankind and help us evolve” – building AI that is accountable, measurable, and owned by the client.

## Products & Services
- **Applied AI Solutions**: Custom AI systems built from research to production, owned by the client. Includes ML models, hybrid AI agents, and governance frameworks.
- **End-to-End AI Advisory**: From strategic clarity to deployed AI systems with measurable outcomes.
- **Embedded AI Teams**: Engineers, product, and design talent embedded in client squads to turn ideas into deployment-ready systems.
- **The Foundry**: Internal system that turns AI ideas into production-ready capabilities faster and more reliably.
- **T.R.U.S.S. Framework**: Trust and governance framework ensuring AI decisions are auditable, reliable, and safe.
- **Sokuvo (IP)**: Proprietary coordination platform to eliminate coordination tax.
- **Delivery OS**: Operating framework for accountability, speed, and zero bureaucracy.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private, no disclosed funding)
- **Key Metric**: ~133 employees (LinkedIn, 2026) – website claims “200+ Arionics”, conflicting reports; revenue not disclosed
- **Notable Investors/Partners**: No public investors listed. Notable partnerships: Evertreen (reforestation partner)
- **Growth Signals**: Headcount grew +10.2% YoY; 21 active job postings (monthly growth +61.5%, quarterly +162.5%); expanding across LATAM, US, Europe, and Asia

## Competitive Advantages
- Full-stack AI-native approach: strategy, execution, and governance all built in-house.
- Proprietary IP (Sokuvo, Delivery OS, T.R.U.S.S.) that reduces coordination overhead and ensures trust by design.
- Strong focus on “AI that you own” – clients retain IP and control after engagement ends.
- Multidisciplinary team including PhD-level scientists, product leaders, and creative technologists.
- Remote-first global team with offices across the Americas reduces cost while accessing top talent.

## Strategic Focus
- Scaling consulting impact across industries (pharma, logistics, oil & gas, etc.) with measurable ROI.
- Deepening governance and responsible AI capabilities (T.R.U.S.S. framework).
- Building reusable AI capabilities via The Foundry to ship faster.
- Expanding headcount in engineering, product, and sales roles – particularly Senior Engineers, Architects, and Account Executives.

## Why Work Here
- **Remote-first**: Fully remote with flexibility and trust; collaboration spaces across Latin America (Montevideo, Buenos Aires, Tandil, Bogotá, São Paulo).
- **Learning & growth**: Access to online courses, certifications, and internal knowledge-sharing talks and workshops.
- **Time off**: 20 business days annual leave, plus sick days; birthday day off with a bonus.
- **Compensation**: Salary adapted to local realities, including crypto option where applicable.
- **Community**: Multidisciplinary, international teams; cross-team knowledge sharing; annual and regional meetups.
- **Impact**: Work on real AI problems that ship to production, with a focus on governance and responsible AI.
- **Perks**: Referral bonuses, tree planting (10 per employee per year + milestones).

## Sources
1. [arionkoder.com](https://www.arionkoder.com/)
2. [arionkoder.com/arionics](https://www.arionkoder.com/arionics)
3. [arionkoder.com/who-we-are](https://www.arionkoder.com/who-we-are)
4. [job-boards.greenhouse.io/arionkoder](http://job-boards.greenhouse.io/arionkoder)
5. [linkedin.com/company/arionkoder](https://www.linkedin.com/company/arionkoder)

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