Forward Deployed Engineer

Hire Overseas

. Design and build full-stack AI applications, agentic systems, and production-grade AI infrastructure .

Posted 11/2/2026full-timeRemote • Argentina, El Salvador, Peru, Colombia, Brazil, MexicoMid-LevelSenior💰 $45,000 - $65,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and building full-stack AI applications, with strong capabilities in Python, TypeScript, and cloud platforms such as GCP, Azure, or AWS. Proficient in developing user-facing interfaces, backend services, and implementing agentic behavior while mentoring junior engineers and communicating effectively with stakeholders.

Highest-signal resume keywords

Full-Stack AI Application DevelopmentPython ProgrammingTypeScript DevelopmentCloud Platform ExperienceAgentic Framework Expertise

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonTypeScriptReactAPIsRAGEmbeddingsVector SearchAgentic FrameworksData Pipeline DevelopmentCI/CD

Soft Skills

CommunicationMentoringProblem-Solving

Tools & Technologies

GCPAzureAWSClaude CodeGemini CLICodexCursorVersion ControlAutomated TestingObservability

Certifications & Qualifications

AI Platform CertificationCloud Certification

Industry Keywords

AI ApplicationsAgentic SystemsProduction-Grade InfrastructureSoftware EngineeringData Engineering

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformJavaScriptNode.jsPythonReactTypeScript

About the role

Key responsibilities & impact

Design and build full-stack AI applications, agentic systems, and production-grade AI infrastructure
Develop user-facing interfaces in TypeScript and React
Build backend services and APIs in Python or Node
Implement agentic behavior including orchestration, tool and function calling, memory, and guardrails
Build RAG pipelines covering ingestion, chunking, embeddings, and vector and hybrid search
Connect AI systems to enterprise data and applications via APIs, semantic layers, and protocols such as MCP
Write evaluation suites and regression tests for LLM-powered features
Monitor cost, latency, and quality in production
Apply version control, code review, automated testing, CI/CD, and observability
Deploy on GCP, Azure, or AWS cloud infrastructure
Build and maintain data pipelines feeding AI systems
Use Claude Code, Gemini CLI, Codex, or Cursor daily with verification and review
Communicate progress, trade-offs, and blockers to clients and project leads
Support pre-sales through solution scoping, demos, and effort estimation
Mentor junior engineers
Contribute to internal accelerators, reusable components, and engineering standards

Requirements

What you’ll need

3 to 5 years of software or data engineering experience
Extensive hands-on use of AI tools and LLM-based development over the past year
Strong programming skills in Python and TypeScript or JavaScript
Experience building and consuming APIs
Front-end development experience in React or similar frameworks
Experience with at least one backend framework
Hands-on experience with RAG, embeddings, and vector search
Experience with at least one agentic framework such as LangGraph, LangChain, Google ADK, Claude Agent SDK, or OpenAI Agents SDK
Deep specialization in at least one major AI platform ecosystem: Google, Anthropic, or OpenAI
Working experience with at least one cloud platform: GCP, Azure, or AWS
Experience building and maintaining data pipelines
Fluency with agentic coding tools such as Claude Code, Gemini CLI, Codex, or Cursor
Professional English proficiency at C1 or C2 level minimum
Bachelor's or Master's degree in computer science, engineering, or a related field, or equivalent practical experience
A certification on at least one major AI platform or cloud is required within the first two months if not already held
Availability during US business hours
Updated resume
GitHub link or portfolio showing AI systems or full-stack projects built and shipped in production
1–2 minute Loom video introducing yourself and discussing one production AI system owned end to end, including evaluation and reliability

Benefits

Comp & perks

100% remote setup
Paid Time Off according to company policy
Holidays observed according to company guidelines
Compensation paid in USD
Paid bi-monthly on the 15th and 30th
Exam sponsorship and prep time provided for obtaining a major AI platform or cloud certification within the first two months
Dedicated hours to ensure alignment with the team and delivery of quality work