Strike IT Recruitment Services
Full Stack AI Data Engineer - Fully Remote - Contract - Outside IR35
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Full Stack AI Data Engineer
Python | Snowflake | GenAI | FastAPI | AWS
Fully Remote | Outside IR35 | UK based
3-month contract initially
Build production AI applications from the ground up.
We're looking for an experienced Full Stack AI Data Engineer to join a growing AI consultancy delivering cutting-edge enterprise AI solutions for global organisations.
This isn't a traditional Data Engineering role.
It isn't a Full Stack Developer position.
It isn't purely an AI Engineering role.
We're looking for someone who combines all three.
You'll design modern data platforms, build scalable APIs and applications, integrate Large Language Models, and deliver production-grade AI solutions that solve real business problems.
If you've built AI applications end-to-end—not just experimented with ChatGPT APIs—we'd love to hear from you.
What you'll be doing
You'll own the full lifecycle of AI product delivery, including:
- Designing modern cloud data platforms
- Building scalable Python services using FastAPI
- Creating modern web applications (Next.js or similar)
- Designing robust data models and data pipelines
- Developing production-ready AI applications using RAG, AI Agents and LLMs
- Building AI workflows with tool calling and evaluation frameworks
- Deploying cloud-native solutions into AWS
- Designing architecture and making key technical decisions
- Working directly with stakeholders to shape solutions
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
This is a highly autonomous role where you'll take ideas from whiteboard discussions through to production deployment.
What we're looking for
This role sits across multiple disciplines, so we're looking for engineers who have genuine commercial experience across all of the following:
Strong Python Engineering
- Python
- FastAPI (or similar)
- REST APIs
- Microservices
- Backend architecture
Modern Data Engineering
- Snowflake
- dbt
- Spark / PySpark
- Airflow
- SQL
- Data modelling
- ETL / ELT
- Schema design
- Slowly Changing Dimensions (SCD)
Production AI Engineering
We're looking for engineers who have built production AI systems, including:
- Retrieval Augmented Generation (RAG)
- AI Agents
- LLM integrations
- Tool calling
- Evaluation frameworks
- Prompt engineering
- Production AI deployments
Get help with your application
Your very own career expert that helps elevate your application to the next level.
This is far more than simply integrating ChatGPT APIs.
Cloud & Engineering
You'll also have experience with:
- AWS (preferred)
- CI/CD
- Infrastructure as Code
- Cloud deployments
- PostgreSQL
- Git
- Modern software engineering practices
- System design and architecture
We'd love to speak to people who have
- Built production AI applications end-to-end
- Strong Software Engineering background
- Modern Data Engineering expertise
- Experience designing scalable systems
- Strong stakeholder communication skills
- Consulting or client-facing experience
- Used AI coding assistants (Cursor, Claude Code or similar) as part of everyday development
Nice to have
Any experience with the following would be highly beneficial:
- LangGraph
- LangChain
- Vector databases (Pinecone, Weaviate, pgvector, Qdrant)
- Kafka
- Databricks
- MLflow
- Salesforce data
- ERP / CRM integrations
- Commercial data modelling
- Multi-cloud environments
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location