> Markdown version of [/jobs/ext/737638-full-stack-engineer](https://www.wearedevelopers.com/jobs/ext/737638-full-stack-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Full-Stack Engineer - **Company:** GILPIN-CASTELLI INVESTMENTS, INC. - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $120,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Cloud Computing, Code Review, Databases, Data Stores, Database Schema, Software Debugging, Python (Programming Language), PostgreSQL, Machine Learning, Node.Js, Open Source Technology, Azure Machine Learning, Software Engineering, Data Streaming, TypeScript, User Environment Management, AI Infrastructure, Google Cloud, ReactJS, Large Language Models, Prompt Engineering, Backend, Containerization, Kubernetes, Production Code, Performance Monitor, Graphql, Machine Learning Operations, Front End Software Development, Virtual Agents, Restful APIs, Terraform, Data Pipelines, Docker, Programming Languages - **Published:** June 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=a2d36fe756baa3fe ## About the Role Do you have experience in UX?, * 5+ years of professional software engineering experience with end-to-end ownership in a full-stack role. * Deep expertise in Python, Node.js, React/TypeScript, and PostgreSQL. * Able to be hands-on with GCP, containerization (Docker/K8s), and building/supporting high-traffic systems. * Proven experience integrating AI/ML models (LLMs, NLP, RAG) into production apps. * Familiarity or strong interest in working with MCP servers. * Exceptional problem-solving skills and a product mindset: you think deeply about UX, performance, and business impact. * You sweat both technical details and end-user experience., * Experience with multi-step or agentic AI workflows. * Background in AI infrastructure or tooling companies. * Contributions to open-source AI/ML projects. ## Description We're empowering small teams with technology that makes it easier to market and grow businesses. Our current focus is to help consumer brands shift from "workflow automation" to "agent management" within their marketing operations. Shadow is the AI coordination layer - providing shared AI memory, centralized agent control, and model orchestration for marketing teams., * Product Ownership You'll ship production code daily and help steer key product and technical decisions. * Shape the Engineering Culture You'll influence how we work-tools, processes, standards, and hiring. * Work with Challenger Consumer Brands Talk directly to customers (CEOs, CMOs, VP's) of fast-growing consumer brands-some doing $80M-$500M in revenue., You'll sit squarely at the intersection of back-end and front-end, ensuring seamless integration between APIs, databases, UIs, and ML services. You'll design, build, and scale features end-to-end, especially our AI/ML-powered experiences, while mentoring peers and driving architecture decisions. Core Tech & Tools * Languages & Frameworks: Python, Node.js, React (TypeScript) * Datastore: PostgreSQL * Cloud & Infra: Google Cloud Platform, Airflow, Terraform, Docker, Kubernetes * ML/AI: LLMs, RAG, prompt engineering, * Architect and implement full-stack features, from database schema to React components, optimized for scale and reliability. * Build and maintain RESTful/GraphQL APIs, data pipelines, and distributed services in GCP. * Integrate, prompt, and debug LLMs and generative AI tools; own RAG or fine-tuning pipelines. * Ensure front-end and back-end systems interoperate flawlessly, minimize friction, optimize data flow, and enforce contracts. * Collaborate with product, research, design, and infra teams to define requirements, iterate rapidly, and ship production-grade code. * Monitor performance, reliability, and security. * Mentor junior engineers through code reviews, architecture reviews, and shared best practices. ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) ## Related Articles - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [The Prompt Engineer ✍️](https://www.wearedevelopers.com/magazine/216-the-prompt-engineer) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)