JC-4399; Senior Full Stack AI Engineers

B2E Consulting
London, UK
2 months ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Applications Architecture Software Applications Microsoft Azure Cloud Engineering Continuous Integration Amazon DynamoDB Python (Programming Language) Node.Js Scrum Methodology
+15 more
Software Engineering Software Systems Data Streaming TypeScript Datadog Google Cloud ReactJS 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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

1:21 min

Exploring the target application for front end tests

Anna Mcdougall · JS Congress

5:34 min

Managing token budgets and enterprise usage of coding agents

Chris Heilmann +2 · LIVE

45 sec

Working securely with Node.js path application programming interfaces

Sonya Moisset · WWC 2023

1:34 min

Transitioning from traditional software development to artificial intelligence consulting

Patrick Schnell Patrick Schnell · Coffee With Developers

2:59 min

Introduction and transitioning into the tech industry

Anna Mcdougall · JS Congress

2:14 min

Exploring internal AI product initiatives and global engineering roles

Maria Apazoglou · Coffee With Developers

Videos

See all

Related articles

See all