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Senior Full-Stack AI Engineer

HelloKindred · Sheffield, England, United Kingdom, GB · 11 days ago

Anticipated Contract End Date/Length: November 30, 2026.

Work Set Up: Hybrid (3 days per week in office)

Clearance required: BPSS

Our client in the Information Technology and Services industry is looking for a Senior Full-Stack AI Engineer to build and support an end-to-end AI-enabled helpdesk platform across web UI, APIs, agent orchestration, and enterprise workflow automation environments. This role will combine full-stack software engineering expertise with AI-driven workflow development to deliver scalable, secure, and enterprise-grade support solutions.

The successful candidate will contribute across frontend, backend, API, and AI orchestration layers while supporting enterprise integrations, workflow automation, and production-grade application delivery within a highly collaborative engineering environment.

What you will do

  • Design and build user-facing applications for employees, support agents, and administrators.
  • Develop frontend, backend, and API layers supporting chat, ticket submission, status tracking, and escalation workflows.
  • Build LLM and agent-based workflows to automate repetitive IT helpdesk activities including password resets, account unlocks, software access requests, and knowledge-based troubleshooting.
  • Integrate solutions with ticketing, identity, collaboration, and ITSM platforms.
  • Implement prompt flows, guardrails, fallback logic, and human handoff mechanisms suitable for enterprise environments.
  • Own feature delivery activities from solution design through deployment and production support.
  • Develop and maintain REST APIs, workflow services, and production-grade web applications.
  • Support secure integration patterns including authentication, RBAC, logging, and secure coding practices.
  • Collaborate with cross-functional teams to deliver scalable and resilient enterprise applications.
  • Support troubleshooting, optimization, and continuous improvement activities across AI-enabled workflows and platform services.
  • Strong full-stack engineering experience using modern frontend and backend frameworks.
  • Experience with Python, Node.js, or Java.
  • Experience building REST APIs, workflow services, and production-grade web applications.
  • Working knowledge of LLM APIs, prompt engineering, and agent or tool-calling patterns.
  • Familiarity with authentication, RBAC, logging, and secure coding practices.
  • Experience integrating enterprise platforms and workflow automation solutions.
  • Strong problem-solving, troubleshooting, and software engineering capabilities.
  • Experience with ServiceNow, Jira, Zendesk, Microsoft Teams, Slack, or telephony and chat integrations is preferred.
  • Experience building internal enterprise support tools is preferred.
  • Experience working within enterprise or regulated technology environments is preferred.
  • Strong communication and collaboration skills within agile engineering teams.

All your information will be kept confidential according to EEO guidelines.

Candidates must be legally authorized to live and work in the country where the position is based, without requiring employer sponsorship.

HelloKindred is committed to fair, transparent, and inclusive hiring practices. We assess candidates based on skills, experience, and role-related requirements.

We appreciate your interest in this opportunity. While we review every application carefully, only candidates selected for an interview will be contacted.

HelloKindred is an equal opportunity employer. We welcome applicants of all backgrounds and do not discriminate on the basis of race, colour, religion, sex, gender identity or expression, sexual orientation, age, national origin, disability, veteran status, or any other protected characteristic under applicable law.

Headquarters

Sheffield, England, United Kingdom

Work Location

hybrid

Job Category

Data Science / AI / Machine Learning

Application Deadline

Not specified

Job Type

contract

Experience Level

senior-level

Application Method

Apply via Website

Salary

Not specified

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