Open to international AI Engineer roles (remote)

Sebastian FuertesAI Backend Engineer

I design and ship scalable, cloud-native backends — and I'm now applying that foundation to AI: RAG pipelines, LLM-powered services, and agentic systems built to run reliably in production.

Bogotá, Colombia
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About

From backend systems to AI in production

I'm a backend Python developer with ~4 years building scalable, cloud-native services — API design with FastAPI and Flask, ETL pipelines, and event-driven architectures on AWS serverless (Lambda, Step Functions).

I'm now focused on the engineering layer of AI: taking large language models from a notebook demo to a reliable production service — retrieval pipelines, agents, evaluation and observability. My goal is to build AI systems with the same rigor I bring to backend: tested, measured, and operable.

The projects on this site are built to demonstrate exactly that — each one documented as a real case study, not a tutorial clone.

Stack

Skills & tools

AI / LLM EngineeringFocus

  • RAG pipelines
  • LLM APIs (OpenAI, Anthropic)
  • AI agents & tool use
  • Vector databases
  • Prompt engineering
  • Evaluation & observability

Backend

  • Python
  • FastAPI
  • Flask
  • REST APIs
  • Async
  • ETL pipelines

Cloud & Infrastructure

  • AWS Lambda
  • AWS Step Functions
  • Serverless
  • CI/CD (GitHub Actions)
  • Azure DevOps
  • Docker

Data

  • PostgreSQL
  • BigQuery
  • ArangoDB (graph)
  • Pandas

Frontend (familiar)

  • React
  • Next.js
  • TypeScript

Work

Featured projects

RAG Knowledge Assistant

A production-style retrieval-augmented question-answering API over a private document corpus, with citations, evaluation, and cost/latency tracking.

PlannedFastAPIPostgreSQL + pgvectorOpenAIAWS Lambda
All projects

Career

Experience

  1. Backend Python Developer · Neostella

    Jan 2025 — Present

    Core product engineering for a legal case-management CRM (US market) on an AWS serverless stack, plus data governance and third-party integrations.

    • Built event-driven backend services with AWS Lambda for high-availability workloads.
    • Designed and orchestrated workflows with AWS Step Functions, improving reliability and traceability.
    • Standardized a Git Flow strategy across the team, improving release management.
    • Co-designed a custom query language for graph databases from stakeholder requirements.

  2. Backend Python Developer · EY (Ernst & Young)

    Mar 2023 — Jan 2025

    Payroll-sector backend services: ETL, API integrations, and performance work across internal web platforms.

    • Built an end-to-end ETL process from APIs encoding 20+ business rules, with pipelines in Azure DevOps.
    • Ran a proof of concept for an AI assistance tool for an internal website.
    • Cut internal-site database calls ~30% by retrieving data only when needed.
    • Migrated an internal website to React, improving performance ~30%.

  3. RPA / Automation Developer · Trycore

    Jul 2022 — Mar 2023

    Automation across Automation Anywhere, Rocketbot and Selenium, integrating SQL and NoSQL data sources.

    • Built end-to-end RPA automations for web platforms integrated with Google Workspace.
    • Replaced RPA tooling with Python + Pandas for data-frame automation.

Education

  • Mechatronic Engineering

    Universidad ECCI, Bogotá · 2022

  • Associate — Automation & Industrial Robotics

    Universidad ECCI, Bogotá · 2021

Contact

Let's talk

I'm open to AI Engineer roles and interesting backend-meets-AI problems. The fastest way to reach me is email.

jsfuertesdev@gmail.com LinkedIn GitHub