RAG AI Engineer: Chatbots & Agentic ML (Hybrid)

RAG AI Engineer: Chatbots & Agentic ML (Hybrid)

Full-Time 80000 - 98000 Β£ / year (est.) No working from home possible
Intec Select

At a Glance

  • Tasks: Advance RAG chatbot capabilities and design AI solutions for product improvement.
  • Company: Intec Select, a forward-thinking tech company in London.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with exciting projects and career advancement.
  • Why this job: Join a dynamic team to innovate with AI and make a real impact.
  • Qualifications: Strong Python and SQL skills, experience with LLMs and cloud platforms.

The predicted salary is between 80000 - 98000 Β£ per year.

Intec Select is seeking a Data Science AI Engineer in London on a hybrid basis to help advance RAG chatbot capabilities and Lang Graph-based agentic architectures.

You will work with product and engineering teams to design, implement, and productionise AI solutions that improve product quality and automate complex workflows.

Ideal candidates will have strong Python and SQL, experience with LLMs, RAG pipelines, and data-rich environments, plus familiarity with cloud platforms and Git Hub workflows.

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RAG AI Engineer: Chatbots & Agentic ML (Hybrid) employer: Intec Select

Intec Select is an exceptional employer that fosters a collaborative and innovative work culture, particularly for those in the D365 F&O Business Solutions Specialist role. Located in Greater London, employees benefit from a vibrant city atmosphere, ample professional development opportunities, and a commitment to aligning individual growth with organisational success, making it a rewarding place to advance your career in financial services.

Intec Select

Contact Details:

Intec Select Recruitment Team

We think you need these skills to ace RAG AI Engineer: Chatbots & Agentic ML (Hybrid)

Python
SQL
Problem-Solving Skills
Communication Skills
Data Engineering
Data Pipeline Development
API Integration