AI Engineer

New

Workable locations: Miami Beach, Florida, United States. India. Brazil, Available on Slack between 9 AM - 1 PM EST daily.Full-TimeMiddle

Salary not disclosed

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Job Details

Languages: Fluent in both verbal and written English.
Experience: 3+ years of professional experience building AI/ML systems in production
Required Skills: Node.jsPythonSQLReactLangChain

Requirements

Have 3+ years of professional experience building AI/ML systems in production, including AI features used by real users.
Have strong Python proficiency, including packaging, testing, type hints, and async programming where appropriate.
Have full-stack experience working with Python or Node services and a modern frontend such as React.
Have hands-on LLM engineering experience with prompt design, structured output, tool calling, RAG, guardrails, and output evaluation.
Have experience with LLM frameworks such as LangChain, LangGraph, or LlamaIndex, and be able to build a RAG pipeline from scratch.
Have experience with vector databases such as Pinecone, ChromaDB, FAISS, or Qdrant, and embedding models.
Understand ML fundamentals, including model behavior, when to fine-tune versus prompt engineer, and how to evaluate models.
Have experience with data processing at scale using SQL, pandas, Spark, or similar tools.
Have experience building and deploying production APIs using FastAPI, Flask, or similar.
Be familiar with AWS, GCP, or Azure and containerization with Docker or Kubernetes.
Use AI coding tools such as Claude Code, Cursor, or Codex daily and be able to explain your workflow.
Use Git and GitHub, including branching, clean commit history, and code review through pull requests.
Have previous remote-work experience and be able to manage time, communicate proactively, and work productively without supervision.
Have a personal computer with reliable internet access and be available for audio/video meetings and on Slack between 9 AM and 1 PM EST daily.
Be fluent in verbal and written English.

Responsibilities

Design and ship AI features that turn a user's goals, website, or data into campaigns, content, and recommendations.
Build AI-powered internal tools and data-driven systems, including analytics platforms, reporting automation, and workflow intelligence.
Design and build LLM pipelines with prompt design, structured and validated output, RAG, guardrails, and agentic workflows.
Clean and analyze product and behavioral data, grounding AI output in facts.
Build data pipelines that ingest, transform, and serve behavioral and operational data at scale.
Set up evaluation and observability to measure iterations and catch failures before users see them.
Own the path from model output to the user interface across backend and frontend.
Evaluate and select models, frameworks, and infrastructure based on quality, cost, and latency.
Monitor how people use AI features and use that feedback to improve them.
Write production-grade code and document work, including how AI was used to build it.

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