Public Sector AI Engineer: LLMs, RAG & Secure Apps

IBM; Abbots Worthy; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Flexible working

Sabbatical program

Paternity leave

Maternity leave

Maternity returners scheme

25 days holiday

Private medical

Dental & optical cover

Employee Assistance Program

Group pension via salary sacrifice

Job summary

IBM Consulting UK FutureNow seeks a Consulting AI Engineer to design, build, and deploy AI-powered applications across public sector and regulated sectors. You will work with data scientists, architects, software engineers, and client stakeholders to deliver scalable, secure AI systems that fit existing business processes and platforms.

This role emphasizes responsible AI, governance, and secure adoption, with collaboration across teams and delivery lifecycles.

Qualifications

• Experience building production AI solutions with LLMs and APIs.
• Hands-on experience with RAG and agent-based AI systems.
• Strong Python development and API integration skills.
• Understanding of prompt engineering and evaluation for reliable outputs.
• Knowledge of governance and responsible AI practices.

Responsibilities

• Design, develop, and deploy AI-powered apps using LLMs.
• Create RAG solutions and agent-based workflows.
• Integrate AI capabilities into existing enterprise apps.
• Develop APIs and secure integration patterns.
• Translate business requirements into production-ready solutions.
• Support evaluation, testing, and optimisation of AI systems.
• Contribute to governance, security, and responsible AI practices.
• Participate in Agile delivery teams throughout the delivery lifecycle.

Skills

LLMs

Python

APIs

Prompt engineering

Governance

Agile collaboration

Tools

LangChain

LangGraph

Semantic Kernel

LlamaIndex

Vector databases

Job description

IBM Consulting UK FutureNow seeks a Consulting AI Engineer to design, build, and deploy AI-powered applications across public sector and regulated sectors. You will work with data scientists, architects, software engineers, and client stakeholders to deliver scalable, secure AI systems that fit existing business processes and platforms.

This role emphasizes responsible AI, governance, and secure adoption, with collaboration across teams and delivery lifecycles.