Senior Software Engineer II — AI, RAG & Cloud Solutions

Talent Octopusventures

City Of London

On-site

GBP 90,000 - 130,000

Full time

14 days+
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Job summary

LexisNexis Risk Solutions is seeking a Senior Software Engineer II in London to design, develop, and maintain software that drives risk assessment and customer experience improvements. You will work in cross-functional teams, mentoring juniors and contributing to projects with real user impact.

You will apply modern software practices, from RAG pipelines to LangChain-based orchestration, leveraging Python, .NET, and cloud-native solutions.

Qualifications

  • Experience with Agile/Scrum methodologies and leading teams.
  • Proficiency in Python and hands-on experience with AI tools and LLM APIs.
  • Understanding of OOP concepts in .Net and practical integration.
  • Experience with RAG pipelines, embeddings, and vector stores.
  • Familiarity with Lang Chain or similar orchestration patterns.
  • Deep expertise in SQL Server and performance troubleshooting.
  • Experience with AWS cloud services and cloud-native apps.

Responsibilities

  • Develop, maintain, and enhance software in cross-functional teams.
  • Investigate and resolve customer and colleague-reported issues.
  • Share knowledge and mentor junior engineers.
  • Assist with project planning and effort estimation.
  • Support other teams and contribute to ongoing improvements.
  • Communicate effectively with diverse colleagues.

Skills

Agile/Scrum
Python
LLM APIs
OOP .NET
RAG pipelines
LangChain
SQL Server
AWS
JavaScript/TypeScript
Security engineering
Communication

Tools

LangChain
LLM APIs

Job description

LexisNexis Risk Solutions is seeking a Senior Software Engineer II in London to design, develop, and maintain software that drives risk assessment and customer experience improvements. You will work in cross-functional teams, mentoring juniors and contributing to projects with real user impact.

You will apply modern software practices, from RAG pipelines to LangChain-based orchestration, leveraging Python, .NET, and cloud-native solutions.

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