1175 - Applied AI Engineer

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Machine Learning EngineerData

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Quick Summary

Key Responsibilities

Work closely with product teams to help define and execute technical criteria Find high-value uses for AI and define how success is measured Design,

Requirements Summary

Mid-to-senior software engineer who has shipped LLM-based features or agents to production, not only prototypes Production experience in Python (preferred) or Node.

Technical Tools

Machine Learning EngineerData

Hello! We are GoFasti, a Talent-as-a-Service. GoFasti bridges the gap between world-class developers and designers from LatAm and first-class companies around the globe.

We need an English-fluent Mid Level Applied AI Engineer, based in Latin America, available to work remotely.

We are looking for someone with exceptional communication and relationship-building skills, who embraces changes while maintaining strong attention to detail. An interested and proactive person, who's constantly learning and improving their skills.

Are you the one we are looking for?

Responsibilities

~1 min read

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Work closely with product teams to help define and execute technical criteria
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Find high-value uses for AI and define how success is measured
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Design, build and ship LLM-powered features and agents from prototype to production, such as automating client data onboarding
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Own retrieval and RAG over our data, building on the foundation our data engineers prepare
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Build evals and monitoring that track quality, cost and latency, and improve systems based on the results
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Help refine our customer-facing AI features

Requirements

~1 min read

Mid-to-senior software engineer who has shipped LLM-based features or agents to production, not only prototypes
Production experience in Python (preferred) or Node.js/TypeScript
Building with LLMs: prompt and tool design, structured outputs, retrieval/RAG and agent orchestration
Evaluating AI systems: eval sets built from representative data, automated graders, human review and production monitoring
AWS or another enterprise cloud platform, including its AI services (AWS Bedrock preferred)
AI-native development: daily use of agentic AI coding tools, and experience scaling shared AI workflows across a team and into the development lifecycle, including CI/CD
Strong English and communication skills

Nice to Have

~1 min read

Agent tool protocols such as MCP
SQL and cloud warehouse data (Snowflake preferred)
Infrastructure as code (e.g. Terraform)
Exposure to energy, utilities or sustainability data

What We Offer

~1 min read

✓The salary range offered for this position varies from (USD) $4,000 - $5,000 per month, depending on seniority and skillset.

✓This is a 40 hours per week.

✓This position is for a full time contract, through a payroll platform.

✓The talent will work remotely allocated at our client.

Location & Eligibility

Where is the job

Worldwide

Fully remote, anywhere in the world

Who can apply

Same as job location

About this job

Pay per year: ≈ $48,000–$60,000 a year; 74% below the $210,000 median for Machine Learning Engineer jobs on Jobera (870 salaries).
Posted: Today
Employer: has 17 open jobs on Jobera.