JC-4399; Senior Full Stack AI Engineers
B2E Consulting
Charing Cross, United Kingdom
yesterday
Role details
Contract type
Temporary contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Charing Cross, United Kingdom
Tech stack
Java
Artificial Intelligence
Amazon Web Services (AWS)
Applications Architecture
Software Applications
Azure
Cloud Engineering
Continuous Integration
Amazon DynamoDB
Python
Node.js
Scrum
Software Engineering
Software Systems
Data Streaming
TypeScript
Datadog
Google Cloud Platform
React
Multi-Agent Systems
Prompt Engineering
Generative AI
Firebase
Event Driven Architecture
Kubernetes
Serverless Computing
Microservices
Job description
The key services that you will be asked to provide are:
- designing and implementing AI-enabled and agentic software systems
- delivering cloud-native and serverless application architectures
- developing prompt engineering and AI orchestration capabilities
- supporting scalable microservices and event-driven architectures
- enabling automation, CI/CD and observability practices.
Requirements
Do you have experience in React?, Do you have experience of providing AI and full-stack engineering expertise, on complex AI-enabled software development and cloud architecture projects?
This consulting opportunity is to support our client, a leading organisation, in designing, building and deploying robust AI-enabled and agentic software applications. The project focuses on AI engineering, cloud-native delivery, automation and scalable solution architecture.
The project needs a consultant who has:
- deep expertise across NodeJS, Java, Python, React and TypeScript
- proven experience designing and deploying production AI and GenAI applications
- strong cloud-native engineering capability across AWS, Azure and GCP
- excellent stakeholder communication across technical and non-technical teams., * 5+ years full-stack engineering experience
- hands-on experience with Claude, Codex or Copilot tooling
- expertise across AWS, Azure or GCP cloud platforms
- experience delivering AI-enabled applications into production
- strong experience with agile delivery and Scrum environments., * experience with Kubernetes and cloud-native tooling
- exposure to Datadog, Braintrust or AI observability platforms
- experience with DynamoDB, Firebase or data streaming platforms.