1175 - Applied AI Engineer.

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:

• 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.