Senior AI Engineer, AI Engineering

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Develop AI capabilities utilizing our cloud closing agent, Pronto.

• Design and implement connectors and integrations to make company data accessible to AI systems, including Google Workspace, Slack, Jira, GitHub, Snowflake, Confluence, and more.

• Construct and sustain knowledge base pipelines, MCP integrations, and API connections that empower AI tools throughout the organization.

• Collaborate with security and data governance to guarantee that integrations are secure and suitable.

• Assist internal teams in establishing their own AI-driven data sources, automated workflows, and internal tools using rapid application building tools.

• Create templates, guidelines, and foundational elements that enable non-engineers to experiment safely.

• Contribute to our internal automation platform by utilizing tools such as AWS Bedrock, n8n, and custom-built solutions.

• Work closely with the Product Manager and engineering lead to pinpoint the most impactful opportunities.

• Deliver quickly, assess outcomes (such as time saved, reduction in errors, and adoption rates), and iterate based on insights gained.

• Maintain curiosity about emerging tools and techniques and apply them judiciously to enhance our engineering output.

⛳️ Requirements

• A minimum of 4 years of experience in software engineering.

• Demonstrated experience in developing AI tools utilized in a commercial setting.

• Robust full-stack expertise in TypeScript.

• Frontend proficiency with Next.js or React for engineer-facing interfaces.

• Understanding of the Model Context Protocol (MCP).

• Experience in deploying containerized software to Kubernetes.

• Comfortable with large language models (LLMs), embeddings, and AI application patterns.

• Experience in designing and implementing API integrations.

• A self-starter who takes comprehensive ownership from problem identification to design, implementation, monitoring, and iteration.

• Driven by the desire for impact, with a focus on seeing your work utilized and making a difference.

🏝️ Benefits

• Flexible working: a tailored approach for each role. Hybrid roles require three days in the office weekly, while fully remote roles provide regular opportunities for in-person connection through socials and off-sites.

• Socials & connection: various opportunities and events to unite, socialize, and build relationships beyond the office environment.

• Health coverage: support for both physical and mental well-being, including private health insurance.

• Retirement & savings: ensuring long-term financial well-being through retirement savings plans.

• Employee referral programme: earn a competitive bonus for successfully referring new team members.

• Office meals & snacks: enjoy a fully stocked kitchen and complimentary lunches prepared by in-house chefs on in-office days at select locations.

• Sustainable commuting: options for cycle-to-work and electric vehicle salary sacrifice schemes available in select locations.