GenAI Python Engineer – Hybrid, Enterprise RAG Apps in Sheffield

GenAI Python Engineer – Hybrid, Enterprise RAG Apps in Sheffield

Sheffield Full-Time 80000 - 100000 £ / year (est.) No working from home possible
iBSC

At a Glance

  • Tasks: Design and build innovative GenAI applications while integrating data from various systems.
  • Company: Join a forward-thinking enterprise in Sheffield with a hybrid work model.
  • Benefits: Enjoy a competitive contract, flexible working, and the chance to work on cutting-edge AI projects.
  • Other info: Opportunity for career growth with a rolling contract of 6–12 months.
  • Why this job: Make an impact in the AI field and enhance your skills in a dynamic environment.
  • Qualifications: Strong Python skills and experience in AI/ML engineering are essential.

The predicted salary is between 80000 - 100000 £ per year.

Gen AI Python Engineer position in Sheffield (hybrid) requires onsite 3 days per week.

You will design and build Gen AI and RAG‑based applications, integrating data from multiple systems and creating end‑to‑end AI workflows.

The role demands strong Python, AI/ML engineering, document parsing, OCR and embedding pipelines, LLM orchestration, vector databases and scalable APIs.

Inside IR35, 6–12 months rolling contract.

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GenAI Python Engineer – Hybrid, Enterprise RAG Apps in Sheffield employer: iBSC

As a leading consultancy based in London, we pride ourselves on fostering a dynamic work culture that encourages innovation and collaboration. Our employees benefit from flexible working arrangements, including remote work options, and have access to extensive professional development opportunities to enhance their skills and advance their careers. Join us to be part of a supportive team that values your contributions and offers a rewarding environment for growth.

iBSC

Contact Details:

iBSC Recruitment Team

We think you need these skills to ace GenAI Python Engineer – Hybrid, Enterprise RAG Apps in Sheffield

Python
AI/ML Engineering
Document Parsing
OCR
Embedding Pipelines
LLM Orchestration
Vector Databases