# AI Backend Engineer

**Company:** [Seez](http://jobs.workable.com/companies/2PgQmksnitdzQccun8GtM1.md)
**Location:** Remote
**Workplace:** remote
**Employment type:** Full-time
**Department:** Tech

[Apply for this job](http://jobs.workable.com/view/ef75a8a5-6e43-4828-978a-8e2a60ed667a)

## Description

First things first: do you enjoy building scalable backend systems and helping engineers around you grow into stronger versions of themselves? If the answer is yes, you might be a great fit for Seez.

Seez is an AI-powered automotive technology company transforming how vehicles are bought and sold. Since 2016, we’ve been building scalable SaaS and digital retail solutions that help dealerships, OEMs, and marketplaces deliver smarter, more seamless car buying experiences.

We're looking for an engineer who combines strong backend engineering fundamentals with modern machine learning expertise. This role sits at the intersection of software engineering and AI, helping us build intelligent, production-ready applications that power the next generation of automotive retail. If you enjoy building scalable software, experimenting with the latest AI technologies and solving real customer problems, we'd love to hear from you.

Passion, ownership, and strong technical judgment are essential for success in this role.

## Requirements

**Technical** 

-   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.

### YOU’LL THRIVE IN THIS ROLE IF YOU’RE SOMEONE (GREAT-TO-HAVE)

-   Experience with LangChain or similar AI orchestration frameworks.
-   Experience with vector databases such as Pinecone, pgvector, Weaviate or Qdrant.
-   Experience building Retrieval-Augmented Generation (RAG) applications.
-   Knowledge of prompt engineering and LLM evaluation techniques.
-   Experience deploying AI applications into production environments.
-   Familiarity with CI/CD pipelines and infrastructure as code.

### WHAT YOU’LL BRING TO THE PARTY (MUST HAVES)

-   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.

**OUR TECH STACK**  

While we don't expect experience with every technology, you'll likely have worked with many of the following:

  
**Backend**

-   Python
-   Node
-   FastAPI
-   REST APIs
-   GraphQL
-   PostgreSQL
-   Redis

**Infrastructure**

-   Docker
-   AWS (Lambda, S3, CloudFront)
-   Git
-   CI/CD  
    

**AI & Machine Learning**

-   OpenAI
-   Anthropic
-   Gemini
-   LangChain
-   LlamaIndex
-   Vector Databases
-   RAG
-   Prompt Engineering

**BIG NO-NOs**

-   Ship code without understanding what it does
-   Avoid supporting or developing teammates
-   Prefer shortcuts over solid engineering decisions
-   Working multiple full-time roles simultaneously
-   Prefer maintaining the status quo instead of improving systems

## 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

**WHY JOIN SEEZ?**

At Seez, we’re all about attracting and keeping top talent, the kind of people who bring ideas, energy, and curiosity to the table. We’ve created a space where great work gets noticed, collaboration is second nature, and our values aren’t just posters on the wall; they guide everything we do.

We’re a colorful mix of cultures, backgrounds, and perspectives. Everyone has a voice, a purpose, and the freedom to show up as their real self. It’s the kind of place where you can do meaningful work, grow quickly, enjoy a healthy work-life balance, and shape your own career path.