Forward Deployed Engineer

Posted 1 day ago

This is a fully remote position, open to applicants in Argentina, +5 more countries.

πŸ“‹ Description

β€’ Design and develop comprehensive full-stack AI applications, agentic systems, and production-ready AI infrastructure.

β€’ Create user-facing interfaces utilizing TypeScript and React.

β€’ Construct backend services and APIs using Python or Node.

β€’ Implement agentic functionalities, including orchestration, tool and function invocation, memory management, and guardrails.

β€’ Develop RAG pipelines that encompass data ingestion, chunking, embeddings, and both vector and hybrid search.

β€’ Integrate AI systems with enterprise data and applications through APIs, semantic layers, and protocols such as MCP.

β€’ Compose evaluation suites and regression tests for features powered by LLM.

β€’ Oversee cost, latency, and quality metrics in production environments.

β€’ Employ version control, code reviews, automated testing, CI/CD practices, and observability tools.

β€’ Deploy applications on cloud infrastructures such as GCP, Azure, or AWS.

β€’ Construct and manage data pipelines that supply AI systems.

β€’ Utilize Claude Code, Gemini CLI, Codex, or Cursor on a daily basis, including verification and review processes.

β€’ Communicate project progress, trade-offs, and obstacles to clients and project leads.

β€’ Assist in pre-sales activities through solution scoping, demonstrations, and effort estimation.

β€’ Mentor junior engineers in their development.

β€’ Contribute to internal accelerators, reusable components, and engineering standards.


⛳️ Requirements

β€’ 3 to 5 years of experience in software or data engineering.

β€’ Significant hands-on experience with AI tools and LLM-based development in the past year.

β€’ Proficient programming skills in Python and TypeScript or JavaScript.

β€’ Experience in building and consuming APIs.

β€’ Front-end development experience with React or similar frameworks.

β€’ Familiarity with at least one backend framework.

β€’ Practical experience with RAG, embeddings, and vector search.

β€’ Experience with at least one agentic framework, including LangGraph, LangChain, Google ADK, Claude Agent SDK, or OpenAI Agents SDK.

β€’ Deep expertise in at least one major AI platform ecosystem: Google, Anthropic, or OpenAI.

β€’ Practical experience with at least one cloud platform: GCP, Azure, or AWS.

β€’ Experience in building and maintaining data pipelines.

β€’ Proficiency with agentic coding tools such as Claude Code, Gemini CLI, Codex, or Cursor.

β€’ Professional proficiency in English at C1 or C2 level minimum.

β€’ Bachelor's or Master's degree in computer science, engineering, or a related field, or equivalent hands-on experience.

β€’ A certification in at least one major AI platform or cloud is required within the first two months if not already obtained.

β€’ Availability during US business hours is essential.

β€’ An updated resume is required.

β€’ A GitHub link or portfolio showcasing AI systems or full-stack projects that have been built and deployed in production.

β€’ A 1–2 minute Loom video introducing yourself and discussing a production AI system you have owned end-to-end, including aspects of evaluation and reliability.


🏝️ Benefits

β€’ 100% remote work arrangement.

β€’ Paid Time Off as per company policy.

β€’ Holidays observed according to company guidelines.

β€’ Compensation provided in USD.

β€’ Bi-monthly payments on the 15th and 30th.

β€’ Sponsorship for exams and preparation time offered for obtaining a major AI platform or cloud certification within the first two months.

β€’ Dedicated hours allocated to ensure team alignment and the delivery of high-quality work.

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