Senior AI/ML Developer

Every mind is unique. Yet much of the world is still built for what’s considered "normal," leaving too many people behind. At Everway, we change that by creating technology that helps everyone understand and be understood. By understanding and addressing the unique needs of each individual, we're creating a world where differences are recognized and valued.

Our careers fit real life. When you join us, you’re not just taking a job. You’re joining a movement to build a more neuroinclusive world. We’re a global community of over 800 employees spanning North America, UK, Europe, Australia, and New Zealand. A career here is purposeful and fast-moving, with clear expectations, modern tools, and the clarity to focus on what matters most. 

Our people are supported and encouraged to show up as they are, with different ways of thinking welcomed and valued. 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 Friday 15th May 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.

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