Agentic Platform Engineer
- Manchester, United Kingdom
Posted 11 hours ago
About the role
About Us
At Travel Counsellors, our customers, communities, and colleagues are at the heart of everything we do. For over 30 years, we've empowered 2,200+ independent travel agents worldwide, helping them build successful businesses while providing deeply personal, human connections with their customers. Supported by a talented team of over 400 people in our Support Offices, we create unique travel experiences that keep customers coming back. Named the Best Place to Work in Travel (2022) and ranked in the Sunday Times Best Places to Work (2023, 2024 & 2025), we’re expanding rapidly and looking for exceptional individuals to join our Head Office team.
About the Role
As Agentic Platform Engineer, you will be responsible for building and operating the enterprise agentic engineering platform that enables AI agents to safely plan, reason, use tools and execute work across Travel Counsellors' technology estate.
This is an agentic engineering role with strong Platform foundations. Your primary focus will be the design, development and production operation of autonomous and semi-autonomous agents for software delivery, platform operations, service reliability, security and engineering productivity. You will create reusable agent capabilities, orchestration patterns, tool integrations, memory and retrieval services, evaluation frameworks and governance controls that allow teams to adopt agentic automation safely at scale.
You will treat agents as production software: versioned, tested, observable, secure, cost-controlled and accountable. Working across Platform Engineering, Architecture, Security, Data and product teams, you will turn high-value operational workflows into reliable agentic products with clear human oversight, measurable outcomes and safe rollback.
Principal Accountabilities
Design, build and operate the enterprise agentic platform, including orchestration, runtime services, model routing, memory, identity and policy enforcement.
Develop reusable agent frameworks, SDKs and patterns that enable engineering teams to build secure, scalable AI agents consistently.
Engineer autonomous and human-in-the-loop agent workflows that plan, execute, validate and escalate tasks within defined risk and governance controls.
Integrate agents securely with enterprise platforms, cloud services, APIs and knowledge sources using modern integration standards and Model Context Protocol (MCP).
Build production-grade agent services using Python, cloud-native architectures, event-driven design, automation and Infrastructure as Code.
Implement robust evaluation, observability and continuous improvement capabilities, including testing, tracing, telemetry and performance optimisation.
Embed security, governance and responsible AI principles through least-privilege access, policy enforcement, auditability and data protection.
Own the reliability and operational excellence of the agentic platform, including CI/CD, cloud infrastructure, monitoring, incident response and production support.
Collaborate with Engineering, Security, Architecture, Data and Risk teams to define standards, document best practices and support adoption of the platform.
Required Experience
Hands-on experience designing and operating production AI-agent or LLM-powered systems, not only experimenting with chat interfaces or prompt prototypes.
Strong software engineering capability in Python, including API design, automated testing, asynchronous processing, dependency management and production debugging.
Practical experience with agent orchestration, structured tool calling, workflow state, retrieval-augmented generation and human-in-the-loop patterns.
Experience building secure integrations with enterprise APIs, repositories, cloud services, CI/CD, observability or ITSM platforms.
Experience creating evaluation frameworks for agent quality, task completion, safety, reliability, latency and cost.
Strong understanding of agent security, including workload identity, least privilege, secrets management, sandboxing, approvals and audit trails.
Experience observing and operating LLM or agent workloads in production, including tracing, prompt/model/tool versioning, regression monitoring and incident response.
Strong AWS and cloud-native engineering experience, including Infrastructure as Code, containers or serverless services, networking, IAM and monitoring.
Experience with CI/CD and production ownership, with willingness and ability to participate in an on-call rota.
Ability to explain complex agent behaviour, risks and trade-offs clearly to engineering and non-engineering stakeholders.
Our Benefits
Competitive salary + annual bonus
Flexible hybrid working
Career development opportunities
25 days holiday (increasing to 28 after 5 years)
Enhanced Maternity/Paternity pay
1 day paid charity day
Company events and incentives
3x salary death in service benefit
Pension scheme
Private Medical Insurance or Healthcare Cash Plan
Free breakfast and beverages
Inclusive Recruitment at Travel Counsellors
Travel Counsellors is an equal opportunity employer committed to diversity and inclusion. We welcome applicants from all backgrounds and do not discriminate based on race, gender, disability, or any protected characteristic. We provide accommodations for individuals with disabilities throughout the hiring process and will make every effort to accommodate reasonable adjustments where required. We believe diverse perspectives strengthen our team and encourage all to apply.
For more information about this role – and others – at Travel Counsellors, please do not hesitate to contact the Talent Acquisition team at talentacquisition@travelcounsellors.com