Applied AI Engineer

GoFasti

. Work closely with product teams to define and execute technical criteria .

Posted 10/20/2026contractRemoteMid-LevelSenior💰 $4,000 - $5,000 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing, building, and deploying LLM-powered features and agents, with a strong focus on production-level AI systems and evaluation methodologies. Proficient in Python and experienced with cloud platforms like AWS, emphasizing effective communication and collaboration with product teams.

Highest-signal resume keywords

LLM-Based Feature DevelopmentPython ProgrammingAI System EvaluationAWS BedrockAgent Orchestration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonNode.jsTypeScriptPrompt DesignTool DesignRetrieval/RAGProduction MonitoringCI/CDAI System EvaluationStructured Outputs

Soft Skills

Strong English Communication

Tools & Technologies

AWSAWS BedrockAgentic AI Coding Tools

Industry Keywords

AI FeaturesProduction ExperienceData Evaluation SetsHuman ReviewDevelopment Lifecycle

Tech Stack

Tools & technologies

AWSCloudJavaScriptNode.jsPythonTypeScript

About the role

Key responsibilities & impact

Work closely with product teams to define and execute technical criteria
Find high-value uses for AI and define success measures
Design, build and ship LLM-powered features and agents from prototype to production
Own retrieval and RAG over data prepared by data engineers
Build evaluations and monitoring for quality, cost and latency, and improve systems based on results
Help refine customer-facing AI features

Requirements

What you’ll need

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
Experience with prompt and tool design, structured outputs, retrieval/RAG and agent orchestration
Experience evaluating AI systems using representative-data eval sets, automated graders, human review and production monitoring
Experience with AWS or another enterprise cloud platform, including AI services; AWS Bedrock preferred
Daily use of agentic AI coding tools
Experience scaling shared AI workflows across a team and into the development lifecycle, including CI/CD
Strong English and communication skills

Benefits

Comp & perks

40 hours per week
Full time contract through a payroll platform
Remote work allocated at the client