Senior AI/ML Developer at Everway

, , United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

10 Jul, 26

Salary

0.0

Posted On

11 Apr, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, AI/ML systems, Model Context Protocol, Agentic workflows, LangGraph, CrewAI, API development, Async programming, Systems integration, CI/CD, Containerisation, AWS, Data governance, Salesforce, Snowflake, Google Workspace

Industry

Software Development

Description

At Everway, our goal is to lead the world in Neurotechnology software, helping transform the way we understand and are understood. We’re a global community of over 600 team members spanning seven countries, including the UK, USA, Norway, Denmark, Sweden, Australia, and New Zealand. By understanding and addressing the unique needs of each individual, we're creating a world where differences are recognized and valued. A world where everyone can thrive. We can only achieve our goals and continue to grow by having high performing people in our team, people who share our goals and are passionate about our mission. We pride ourselves on our core values that are embedded within our culture. These are to be curious, have courage, and commit fully. Join us at Everway - together, we can unlock the full potential of every mind. About the role At Everway, we're building AI capabilities that serve 250M+ users and transform how 1,500+ employees work. We're looking for a Senior AI Engineer to be the founding engineer for AI Enablement — building MCP infrastructure, agentic workflows, and driving AI adoption across the business. This is a founding role with significant growth potential. You'll be the engineer who builds the core infrastructure that connects AI agents to our internal systems. You'll ship production solutions and contribute to the roadmap as the function evolves. As we scale, you'll have the opportunity to grow into a leadership position and help build a team. You'll build MCP servers that securely connect LLMs to Salesforce, Snowflake, Google Workspace, and internal tools. You'll develop agentic workflows that automate business processes across sales, marketing, customer success, and operations. And you'll work directly with stakeholders across the organisation to understand requirements and deliver working solutions. We've already demonstrated strong traction: 400+ weekly active AI users, tools delivering measurable ROI, and executive support for ambitious next steps. You'll join at the right moment to take on a critical growth area and make it your own. Main Responsibilities MCP Development: Build and maintain Model Context Protocol servers that securely connect LLMs to enterprise systems (Salesforce, HubSpot, Snowflake, Google Workspace, internal APIs) Agentic Workflow Development: Develop and ship production-grade agentic workflows with appropriate orchestration, guardrails, and observability Systems Integration: Build robust, secure integrations between AI systems and enterprise tools, handling authentication, rate limiting, and data governance requirements ● Stakeholder Collaboration: Work with teams across Sales, Marketing, Operations, and Customer Success to understand automation needs and deliver solutions Technical Documentation: Create documentation and reusable patterns that enable broader AI adoption across engineering teams Grow with the Function: As we scale, help recruit and mentor team members to expand AI Enablement capabilities Essential Criteria BSc in Computer Science, Software Engineering, or a related technical discipline (or equivalent practical experience) 3+ years of software engineering experience, with meaningful exposure to AI/ML systems in production Hands-on experience with MCP (Model Context Protocol) — you've built MCP servers or have deep familiarity with the architecture and specification Experience building agentic AI systems: multi-step workflows, tool use, orchestration frameworks (LangGraph, CrewAI, or similar) Strong production Python skills — API development, async programming, systems integration Experience integrating with enterprise systems (CRM, data warehouses, productivity tools) via APIs Solid engineering fundamentals: CI/CD, testing, containerisation, cloud deployment (AWS preferred) Comfortable working autonomously and delivering in a fast-moving environment Clear communicator — able to work with non-technical stakeholders and translate requirements into working solutions Desirable Criteria Experience with multiple LLM providers (OpenAI, Anthropic, AWS Bedrock) Interest in growing into team leadership and mentoring Knowledge of AI governance, data protection, and responsible AI practices Background in internal tooling, platform engineering, or developer experience Experience in EdTech, SaaS, or scaling organisations Please submit your application on our website by 17th April 2026. Please note: applications may close early due to high demand, so early submission is encouraged. Join our team and enjoy a competitive salary with bonus opportunities, flexible work schedules, and comprehensive health and wellness benefits. We offer flexible time off plans, career growth through development programs, and a collaborative, innovative culture where your ideas matter. Ready to make an impact? Apply today and be part of a company that invests in your success! We are committed to providing a Drug-Free Workplace for all employees. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law. You can view our Recruitment and Selection Policy here. Please click the link for our Privacy Notice

Responsibilities

The Senior AI Engineer will build and maintain Model Context Protocol servers to connect LLMs with enterprise systems and develop production-grade agentic workflows. They will also collaborate with cross-functional teams to automate business processes and contribute to the company's AI adoption roadmap.