
Forward Deployed Engineer
Posted 1 day ago

Posted 1 day ago
This is a fully remote position, open to applicants in Argentina, +5 more countries.
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.
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 1β2 minute Loom video introducing yourself and discussing a production AI system you have owned end-to-end, including aspects of evaluation and reliability.
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.
Astreya
The College Board
Docusign
AECOM
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