AI Product Engineer

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November 15

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Logically

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Cybersecurity • B2B

Logically is a US-based managed IT and cybersecurity provider that helps organizations secure, manage, and optimize their IT infrastructure. For more than 20 years it has delivered cyber-first managed services — including a 24/7 in-house SOC and NOC, SentryXDR 360 threat detection and response, data center and cloud services, networking, collaboration, and compliance — to education, financial, healthcare, government, retail and other B2B clients. Logically offers professional and consulting services, remote help desk support, and turnkey security solutions to reduce risk, fill IT talent gaps, and keep business operations running smoothly.

201 - 500 employees

Founded 1999

🔒 Cybersecurity

🤝 B2B

📋 Description

• Build and ship AI-driven product features end-to-end using Next.js AI SDK, AI Gateway, and Python-based APIs. • Develop and maintain FastAPI services with Pydantic models, SQLAlchemy ORM, and Dockerized deployments. • Implement MCP servers in TypeScript or Python for dynamic context injection and agent orchestration. • Collaborate on AI UX and UI components for MCP environments (e.g. mcpui.dev). • Design agentic workflows and autonomous AI systems using Vercel AI SDK, LangChain, LangGraph, or similar orchestration frameworks. • Integrate with Databricks MLflow, Langfuse, and Braintrust for experiment tracking, LLM evals, and observability. • Collaborate with designers and product engineers to build responsive, intelligent interfaces using Tailwind and Shadcn/UI. • Maintain high-quality standards with Git, testing (unit, component, Storybook, e2e), and CI/CD best practices. • Visualize data and agentic flows using ReGraph, D3.js, or similar libraries.

🎯 Requirements

• 3+ years of experience in full-stack engineering and AI development / applied ML. • Strong skills in TypeScript, Next.js / React, and Python. • Hands-on experience with FastAPI, Pydantic, SQLAlchemy, and Docker. • Experience building or extending MCP servers and integrating contextual agents. • Proficiency with Vercel AI SDK, LangChain, LangGraph, or related agent orchestration tools. • Understanding LLM integration patterns. • Solid understanding of testing frameworks and best practices (Vitest, Pytest, Playwright, Storybook). • Comfort with Git, version control, and modern DevOps workflows. • Familiarity with Vercel Edge Functions, Server Actions, and Next.js App Router. • Strong frontend sensibilities, able to design and ship polished, accessible UIs.

🏖️ Benefits

• Unlimited holiday [28 days annual leave in Spain] • Private Health insurance/wellbeing support [UK only] • 5% Employer Pension contribution [UK only] • Flexible working arrangements • Work from Home Allowance • Learning & development budget • Refer a friend scheme • Enhanced family and sickness leave