Forward Deployed Engineer (AI)

Location: Canary Wharf, London, UK; hybrid with 3 days per week in the office

Salary: £72,000–£92,000 gross annual base salary for Senior scope or £92,000–£122,000 for Principal scope, depending on experience and scope.

Company

hirify.global is an international data, AI, and engineering group with 2,800 consultants and experts across 28 countries, helping organisations operationalise intelligence and build reliable intelligent systems.

What you will do

• Build and deploy end-to-end AI-powered applications connecting source data, models, APIs, enterprise systems, and end users.
• Write, test, review, and maintain production code using Python, TypeScript, Java, or .NET.
• Work directly with users and clients to understand operational challenges and translate them into practical technical solutions.
• Integrate applications with APIs, identity systems, cloud platforms, and existing business systems.
• Deliver production-ready LLM, RAG, and agentic capabilities with evaluation, guardrails, reliability, and cost controls.
• Own deployment, rollout, adoption support, outcome measurement, documentation, and iteration.

Requirements

• Experience building and deploying software solutions in production within complex enterprise or client environments.
• Strong hands-on software engineering, debugging, testing, and production deployment skills, with continued coding in Python, TypeScript, Java, or .NET.
• Experience delivering solutions end-to-end, from data sources and integrations through to applications or experiences used by end users.
• Direct client-facing experience working with users, technical peers, and senior stakeholders.
• Strong experience integrating APIs, identity and access systems, enterprise systems, and cloud environments.
• Experience integrating AI capabilities into applications, including LLMs, RAG, or agentic workflows in production.
• Understanding of API design, authentication, authorisation, SSO/OAuth2, and enterprise integration patterns.
• Ability to investigate real business problems, work with imperfect requirements, adapt solutions, communicate clearly, and collaborate effectively.
• Professional fluency in English is required.

Nice to have

• Experience in data engineering, data platforms, or analytics involving complex source data.
• Experience evaluating AI output quality, implementing guardrails, and measuring AI workload costs.
• Experience in consulting, technology services, or embedded client delivery.
• Experience in iterative environments where discovery, engineering, and validation happen continuously.

Culture & Benefits

• Full-time employee role with a focus on continuous learning, career development, and internal mobility.
• Competitive holiday allowance, private medical and dental insurance, group life insurance, and an auto-enrolment pension scheme.
• Gym access and fitness, lifestyle, travel, retail, and entertainment discounts.
• Training and development through the hirify.global Learning Experience, plus electric and hybrid car scheme access.
• Annual discretionary bonus based on individual and company performance and a referral bonus.
• AI assistance by candidates is strictly prohibited during interviews and may result in immediate disqualification.

Hiring process

• Recruitment stages are conducted and evaluated by human recruiters and interviewers; the company usually responds within a week.
• AI may be used internally only for interview note-taking and is not used for hiring decisions.