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Senior Software Engineer – Full Stack & AI

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Onsite

Senior Software Engineer – Full Stack & AI

E-Solutions

Senior Software Engineer – Full Stack & AI

Skills

Google Cloud PlatformSQL QueriesDockerReactNodeTypescriptJavaMicroservicesSpring BootGraphQLAIAWSJavascriptAzure

20 days ago

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Important information


Contract type:

Permanent

Location:

London, UK

Work mode:

Onsite

Published on:

14 October 2026

What they need


Job Description: Senior Software Engineer – Full Stack & AI

Location: London, UK (Onsite)

Employment Type: Full-Time, Permanent

Experience: 7–8 Years

Role Overview

Client is looking for an experienced Senior Software Engineer with strong full-stack development skills and practical experience working with AI-enabled applications. The ideal candidate will have a balanced technical profile, combining frontend and backend development, cloud technologies, API design, and AI-assisted engineering.

We are looking for someone who can independently deliver scalable, secure, and maintainable applications, contribute to technical decisions, and collaborate effectively with cross-functional teams.

Required Skills and Experience

  • 7–8 years of professional software development experience.
  • Strong full-stack development experience with either:
  • JavaScript/TypeScript, Angular, and Node.js; or
  • JavaScript/TypeScript, React, and Node.js.
  • Candidates with strong React or Angular skills and Java/Spring backend experience may also be considered.
  • Good understanding of REST APIs, microservices, distributed systems, and software design patterns.
  • Experience with SQL and/or NoSQL databases.
  • Hands-on experience with at least one major cloud platform: AWS, Azure, or GCP.
  • Familiarity with CI/CD pipelines, Docker, automated testing, and deployment practices.
  • Practical experience with AI/GenAI applications, LLM integrations, or AI-assisted software engineering tools.
  • Understanding of application security, OAuth/OIDC, authentication, and authorization.
  • Strong problem-solving, communication, and collaboration skills.

Preferred Qualifications

  • Exposure to multiple cloud platforms.
  • Experience with GraphQL, API gateways, caching, and rate limiting.
  • Experience with AI coding tools such as Cursor, Claude Code, or Codex.
  • Experience integrating LLMs, RAG, or AI agents into production applications.

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