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Senior Machine Learning Engineer

Arionkoder · Engineering · Senior · 28d ago

✓

Open to candidates across LATAM.

English requiredLATAMPythonMachine LearningLLMsRAG

Direct from the employer's own careers page

Who can apply

Read straight from the listing, so you know before you spend time on it.

LATAM

Open to candidates across LATAM.

“LATAM”
Async-first
The listing doesn't promise async-first working.
Contractor / B2B
Compensation is structured as a monthly USD service fee for contractor engagement.
Global stipend
No home office or equipment budget mentioned.
Annual retreat
No company-paid get-togethers mentioned.

Read from the listing automatically. Always confirm the details with the company before you accept an offer.

About the role

As a Senior AI Engineer inside AI Labs, you will develop the AI components of governed data foundations utilized by business teams and autonomous agents. Balancing engineering and applied science, you will write production-grade Python, design structured extraction and RAG systems, wire rigorous evaluation benchmarks into CI/CD pipelines, and collaborate directly with clients to translate complex document processing challenges into high-performing systems.

What you'll do

  • Build production-grade AI components and governed data foundations for LLM agents and enterprise applications.
  • Design and execute evals, defining graded criteria, baselines, and CI regression thresholds as release gates.
  • Develop structured extraction, agents with tool use and MCP, and high-quality RAG pipelines.
  • Deploy AI/ML workloads across cloud infrastructure (AWS Bedrock, SageMaker, Lambda, ECS, or GCP/Azure).
  • Engage directly with client teams to conduct live demos, explain technical trade-offs, and support solution sizing.

What you bring

  • 5+ years of professional software engineering experience with production ownership in Python.
  • 2+ years of experience building and delivering LLM systems to end users or clients.
  • Hands-on experience with RAG architectures, chunking, embeddings, vector databases, and retrieval quality measurement.
  • Proven experience building evaluation datasets, defining benchmarks, and implementing automated testing in CI/CD.
  • Strong understanding of cost, latency, and security trade-offs (prompt injection, token caching, PII handling).
  • Excellent written and spoken English in a remote client-facing consultancy setting.

About Arionkoder

Arionkoder is an AI consulting firm that partners with global organizations to design, build, and deploy high-impact AI systems and digital products.

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