1175 - Applied AI Engineer

We Make Remote Work Remarkable • TopTalent from LatAm

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

Are you the one we are looking for?

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, build and ship LLM-powered features and agents from prototype to production, such as automating client data onboarding
• Own retrieval and RAG over our data, building on the foundation our data engineers prepare
• Build evals and monitoring that track quality, cost and latency, and improve systems based on the results
• Help refine our customer-facing AI features

Requirements:

• 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

It's a plus:

• 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

Compensation:

• 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.

Here are the steps for this process:

TBD > Application review/approval > Screening interview with GoFasti's team > We build and send your profile to our client > Profile review/approval by client > Interview with the client > Hiring and onboarding.