AI Backend Engineer

🔥 23 minutes ago

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Seez

11 - 50 employees

Founded 2016

🚘 Automotive

🤖 Artificial Intelligence

☁️ SaaS

Automotive • Artificial Intelligence • SaaS

Seez is an AI-driven software company that builds an integrated suite of products for automotive retailers. Its platform (branded products include Connect, Assist, Reach, Serve, SeezPad, SeezClick, SeezNITRO and Boost) automates the car retail workflow — engaging shoppers, converting inquiries into showroom-ready leads, managing inventory and pricing, booking service appointments, and running AI-powered marketing and ads. Seez positions itself as a SaaS provider delivering AI agents and tools trained on a dealer’s business to increase leads, operational efficiency, and revenue for dealerships and automotive groups.

📋 Description

• Design, build and maintain scalable backend services using Python, Node and .NET. • Develop production-ready AI applications powered by Large Language Models (LLMs). • Build and optimise Retrieval-Augmented Generation (RAG) pipelines and vector search solutions. • Integrate foundation models such as OpenAI, Anthropic and Gemini into customer-facing products. • Design, build and maintain REST APIs that power our AI services. • Work with structured and unstructured data to improve AI performance and user experience. • Optimise applications for performance, scalability and reliability. • Write clean, maintainable and well-tested code. • Collaborate closely with Product, Design and Engineering to deliver features from concept through production. • Monitor, evaluate and continuously improve AI system performance.

🎯 Requirements

• 4+ years of experience in software engineering. • Strong commercial experience building backend applications with Python and Node. • Experience developing and deploying machine learning or LLM-powered applications. • Experience building REST APIs, GraphQL, and backend services. • Experience with FastAPI or similar Python web frameworks. • Experience working with SQL databases such as PostgreSQL. • Familiarity with Docker and cloud platforms (AWS preferred). • Experience using Git and modern software development practices. • Strong problem-solving skills with a pragmatic approach to shipping software. • Strong written and verbal English communication skills.

🏖️ Benefits

• 25 days of paid annual leave plus public holidays • Flexible remote work options • Open door policy to CEO and all Leadership team • One-on-one wellness coaching sessions because your well-being matters. • An annual wellness budget to fuel whatever keeps you balanced—whether that’s yoga, hiking, or visit to the museum. • An annual learning budget to power your growth—be it a new course, certification, or skill you’ve been eyeing

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