Full Stack Engineer - Python (AI Platform)

Full Stack Engineer - AI Platform

12-month contract - Extendable

Immediate/short notice availability would be advantageous

Role Overview

We are looking for an experienced

Full Stack Engineer

to join a technology team working on

AI and data-driven platforms . The successful candidate will be responsible for developing scalable applications and data solutions, working across backend, cloud, data engineering and AI/ML capabilities.

Key Responsibilities

Design, develop and maintain

full-stack applications

and scalable backend services.

Develop robust solutions using

Python

and modern software engineering practices.

Work with

AWS cloud services

to build, deploy and support cloud-based applications.

Develop and optimise

SQL queries

and work with large-scale datasets.

Work with

Apache Spark / PySpark

for large-scale data processing and transformation.

Collaborate with data scientists and AI/ML teams to integrate

machine learning and AI capabilities

into applications.

Contribute to projects involving

LLM / Generative AI

technologies.

Participate in system design, development, testing, deployment and ongoing optimisation.

Troubleshoot technical issues and ensure the reliability, scalability and performance of applications.

Work closely with cross-functional teams to understand requirements and deliver high-quality solutions.

Required Skills & Experience

Strong hands-on experience in

Python development .

Solid experience in

AWS

and cloud-based application development.

Strong knowledge of

SQL

and relational databases.

Hands-on experience with

Apache Spark / PySpark .

Experience working with

data engineering, ML or AI-related projects .

Good understanding of software development lifecycle and engineering best practices.

Strong problem-solving and analytical skills.

Ability to work effectively in a collaborative, fast-paced environment.

Good to Have

Experience with

Databricks .

Exposure to

Machine Learning

solutions and frameworks.

Experience working with

LLMs / Generative AI .

Experience building or integrating

AI/ML platforms .

Familiarity with modern DevOps, CI/CD and cloud deployment practices.