Software Engineer – AI

Qodea

AI Engineer building production-grade Vertex AI, Python, and LLM solutions for enterprise clients in North America. Developing RAG, agentic systems, data integrations, and observability frameworks from Argentina with global teams.

Posted 8/5/2026full-timeBuenos Aires • 🇦🇷 ArgentinaJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Python development for AI/ML applications, with a strong focus on integrating LLMs and optimizing data retrieval processes. Proficient in leveraging Google Cloud Platform tools and MLOps practices to ensure reliable AI feature deployment.

Highest-signal resume keywords

Python DevelopmentAI/ML ImplementationGoogle Cloud PlatformVertex AI EcosystemMLOps Workflows

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Model IntegrationData Manipulation LibrariesLLM OrchestrationData Pipeline OptimizationVector Search Optimization

Soft Skills

CollaborationClear Communication

Tools & Technologies

DockerCI/CD PipelinesBigQueryCloud Functions

Certifications & Qualifications

GCP Professional Machine Learning Engineer

Industry Keywords

AI FeaturesRAG PipelinesAgentic WorkflowsAI ObservabilityETL Processes

Tech Stack

Tools & technologies

BigQueryCloudDockerETLGoogle Cloud PlatformPython

About the role

Key responsibilities & impact

Build and deploy AI features, including RAG pipelines, LLM orchestrations, and agentic workflows under senior architect guidance
Write clean, maintainable, efficient Python code for AI model integration and data-intensive applications
Fine-tune models and optimize LLM prompts for accuracy, relevance, and safety
Optimize and manage data sources and vector databases for high-quality retrieval
Collaborate with US-based product owners and European delivery teams, including early-morning syncs
Apply AI observability and evaluation frameworks to ensure deployment reliability and quality
Partner with clients to develop AI concepts and enhancements and translate business goals into technical AI roadmaps

Requirements

What you’ll need

2+ years of professional software engineering experience focused on AI/ML implementation and Python development
Practical experience with the Vertex AI ecosystem and integrating LLMs into web applications
Mastery of the Python ecosystem, especially AI development and data manipulation libraries
Hands-on experience with Google Cloud Platform, specifically Vertex AI, BigQuery, and Cloud Functions
Proficiency with Docker and CI/CD pipelines for MLOps workflows
Fluent English skills and ability to explain technical trade-offs clearly
Nice to have: deep experience with LangChain or LlamaIndex
Nice to have: understanding of data pipelines and ETL processes
Nice to have: advanced retrieval techniques and vector search optimization
Nice to have: GCP Professional Machine Learning Engineer certification

Benefits

Comp & perks

OSDE 210 for family group
Work from Home Allowance
Birthday leave
10 paid learning days per year
Bonusly 100 points per month to recognise colleagues