Forward Deployed Engineer

Hire Overseas

. Develop user-facing interfaces in TypeScript and React, along with backend services and APIs in Python or Node .

Posted 11/3/2026full-timeRemote • Peru, Argentina, BrazilMid-LevelSenior💰 $45,000 - $65,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing user-facing interfaces and backend services using TypeScript, React, and Python, with a strong focus on AI tools and LLM-based development. Proficient in building data pipelines, APIs, and deploying applications on cloud platforms while mentoring junior engineers and communicating effectively with stakeholders.

Highest-signal resume keywords

TypeScript DevelopmentPython ProgrammingReact Front-End DevelopmentAI Tools and LLM DevelopmentCloud Platform Deployment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

TypeScriptPythonReactAPI DevelopmentData Pipeline ConstructionRAG ImplementationEmbeddingsVector SearchAgentic FrameworksCI/CD

Soft Skills

CommunicationMentoringProblem-Solving

Tools & Technologies

GCPAzureAWSClaude CodeGemini CLICodexCursorMCP

Certifications & Qualifications

AI Platform CertificationCloud Certification

Industry Keywords

AI SystemsLLM-Powered FeaturesEvaluation SuitesRegression TestsSemantic Layers

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformJavaScriptNode.jsPythonReactTypeScript

About the role

Key responsibilities & impact

Develop user-facing interfaces in TypeScript and React, along with backend services and APIs in Python or Node
Implement agentic behavior including orchestration, tool and function calling, memory, and guardrails
Build retrieval-augmented generation 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, demo building, 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
Experience with front-end development 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, walking through one production AI system owned end to end, and explaining evaluation and reliability

Benefits

Comp & perks

100% remote setup
Paid bi-monthly on the 15th and 30th
Paid Time Off according to company policy
Holidays observed according to company guidelines
Exam sponsorship and prep time provided for required AI platform or cloud certification
Dedicated hours to ensure alignment with the team and delivery of quality work