Senior AI/ML Developer
Role details
Job location
Tech stack
Job description
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, 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.
Requirements
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, 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