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GenAI Full-Stack Engineer & Strategy Consultant

83zero Limited

Greater London

Hybrid

GBP 80,000 - 89,000

Full time

Yesterday
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Job summary

A UK consulting firm is seeking a GenAI Full Stack Engineer to tackle real-world challenges through innovative technology solutions. This role focuses on developing proof-of-concepts and production-ready applications for clients, leveraging advanced GenAI techniques. The ideal candidate will possess strong back-end and front-end development skills, experience with cloud platforms, and familiarity with Large Language Models. This position offers a hybrid working model with opportunities to explore emerging technologies.

Benefits

£8,000 Bonus
Healthcare options
Flexible working hours

Qualifications

  • Experience in building microservices using Python or TypeScript.
  • Experience in building React applications using TypeScript with frameworks like Next.js.
  • Familiarity with GenAI tools like LangChain or Vercel AI.
  • Practical experience with Large Language Models like OpenAI or Anthropic.
  • Proficiency in AWS or Azure.
  • Hands-on experience with Docker and Kubernetes.
  • Exposure to Infrastructure as Code tools like Terraform.
  • Familiarity with LLM monitoring tools.

Responsibilities

  • Collaborate with the team to develop GenAI proof-of-concepts (POCs).
  • Scale existing POCs to production-ready solutions.
  • Design and develop Full Stack applications.
  • Support the development of infrastructure for end-to-end solutions.
  • Explore and experiment with emerging technologies.

Skills

Backend Development
Frontend Development
GenAI Frameworks
LLM experience
Cloud Platforms
Containerization
Infrastructure as Code (IaC)
Monitoring Tools
CI/CD
Vector Databases
NoSQL
SQL
Proficient in Git
Job description
A UK consulting firm is seeking a GenAI Full Stack Engineer to tackle real-world challenges through innovative technology solutions. This role focuses on developing proof-of-concepts and production-ready applications for clients, leveraging advanced GenAI techniques. The ideal candidate will possess strong back-end and front-end development skills, experience with cloud platforms, and familiarity with Large Language Models. This position offers a hybrid working model with opportunities to explore emerging technologies.
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