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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…
Senior full-stack engineer at an AI consulting firm who owns features end-to-end: building accessible React/Vue UIs in TypeScript, REST/GraphQL services and data models, and running them on AWS. Day to day is hands-on coding, PR review, production debugging, and building LLM/agent-powered features with an AI-first tooling workflow.
Hands-on QA lead at an AI consulting firm: you set quality strategy, coach a QA team, and stay practicing — designing manual/exploratory tests and owning automated suites in CI, including evals for LLM-powered features (RAG, assistants, agents), with daily AI-tool usage. Must be LATAM-based.
Designs and owns the full architecture of an AI-powered software product, balancing technical constraints with business needs while coding, reviewing, and troubleshooting in AWS and TypeScript/Python.
Arionkoder, an AI consulting firm, is hiring a Senior Data Engineer (LATAM, remote) to build a governed data foundation on Databricks for a client: entity resolution, certified tables, access control, and APIs/MCP tools that serve AI agents and business teams. Core stack: Databricks/Unity Catalog, SQL, Python.
Senior Machine Learning Engineer at an AI consultancy: you build LLM-powered systems end-to-end for clients — from rapid proof of concept to production — using Python, RAG, agents, and rigorous evals, deployed to cloud (AWS preferred) via CI/CD, in a fully remote, client-facing LATAM team.
Senior QA Engineer at an AI consulting firm, responsible for designing and executing manual and automated tests to ensure high-quality AI-driven products, working closely with cross-functional teams and integrating AI tools into the testing process.
Senior security engineer at AI consultancy Arionkoder who owns the full vulnerability management lifecycle—discovery, risk assessment, remediation tracking—in a cloud-native AWS environment. Day to day: tuning SIEM, investigating incidents, and automating security operations with Python/Bash/PowerShell alongside DevSecOps and engineering teams.
Builds and experiments with Python-based backend systems, integrates AI/ML models, and prototypes solutions using AWS for a consulting firm focused on AI-driven digital products.
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