Lead AI Engineer
FullTimeJob Overview
About StackOne
StackOne is the AI Integration Gateway powering the next generation of SaaS and AI Agents. Backed by GV, Workday Ventures, and angels/advisors from DeepMind, OpenAI, GitHub & Mistral, we’ve raised $24M to enable developers to orchestrate thousands of secure, scalable, and accurate actions in AI Agents.
With an AI-native integration toolkit that delivers real-time execution, managed authentication, granular permissions, and full observability, all built with safety at its core, we’re now doubling down on AI R&D & creating our own lab to push the boundaries of tool calling for agents: training specialized LLMs designed to outperform general-purpose models in what matters most: precision, reliability, and safety in agentic execution.
Role overview
You'll help build a world where users of any agents can integrate with the tool of their choice in one click thanks to StackOne.
You’ll be reporting directly to the CTO and collaborate on a daily basis with the founders. You will be responsible for delivering on our comprehensive AI agent strategy, including our AI ToolSet SDK, proprietary planner-executor system, and real-time integration capabilities across 200+ enterprise SaaS platforms.
Your responsibilities
Technical Leadership
Lead and scale a team of AI engineers focused on AI agent development and AI tooling
Drive technical architecture decisions for AI agent integrations and tooling
Own the development of our AI ToolSet SDK (TypeScript/Python) and agent frameworks
Leads R&D of our proprietary planner-executor system maintains superior accuracy vs. off-the-shelf LLMs
Lead development of real-time AI agent capabilities with enterprise-grade security
Product Management
Define and execute roadmap for AI agent internal and external tooling
Prioritize feature development based on market needs and technical feasibility
Collaborate with customers, sales and customer success on enterprise AI agent deployments
Drive adoption of open-source standards (MCP, A2ALangChain, OpenAI tools) in our platform
Strategic Execution
Deliver on AI agent capabilities outlined in our public strategy
Ensure seamless integration with existing unified API infrastructure
Drive token efficiency improvements and data normalization for LLM consumption
Lead multi-tenant authentication and security implementations for AI agents
Build and maintain integrations with major AI frameworks (OpenAI, LangChain, CrewAI, etc.)
Team Development
Mentor, and develop world-class AI engineers
Foster culture of innovation and rapid experimentation
Establish engineering best practices for AI agent development
Drive technical excellence while maintaining rapid delivery pace
Core qualifications
Technical Leadership Experience
7+ years of software engineering experience with 3+ years in AI/ML leadership roles
2+ years leading engineering teams
Proven track record of shipping customer-facing AI products
Experience in fast-growing B2B SaaS companies (Series A-B stage preferred)
AI & ML Expertise
Deep expertise in LLMs, AI agents, and enterprise AI applications
Strong background in API design, particularly for AI tool-calling and integration platforms
Experience with vector databases, RAG systems, and real-time data processing
Understanding of enterprise authentication, security, and multi-tenancy
Knowledge of AI agent frameworks and emerging standards (MCP, etc.)
Infrastructure & Data Engineering
Proficiency in TypeScript/Node.js and Python for AI development
Experience with cloud infrastructure and services (AWS and/or Cloudflare preferred but not required)
Experience with ETL, Databases / Data Warehouses (eg. Postgres, Databricks, Vector DBs…) and DAG orchestration tools like Airflow or Dagster
Product & Business Skills
Strong product intuition with ability to balance technical complexity and user needs
Experience working directly with enterprise customers on AI implementations
Deep understanding of enterprise SaaS integration challenges
Experience with APIs, webhook systems, and real-time data architectures
Knowledge of enterprise security requirements (SOC2, GDPR, HIPAA)
Benefits
Join one of Europe’s fastest-growing startups
Work with a veteran team of ex-employees of Google, Microsoft, Oracle, Coinbase, JP Morgan and more
Participation in the company’s employee share options plan
25 days holiday + 1 additional day holiday per year of tenure
Flexible work setup - we're hybrid-friendly
£1,000 for your home office set up + £500/year top-up
Cycle2Work and Electric Cars scheme
Private health insurance (including dental & optical)
Health, fitness and gift card discounts
Annual team offsite to sunny spots (last ones were in Spain and Portugal ☀️)
Ready to help us change the game for SaaS integrations? Get in touch and let's chat!
We believe diversity drives innovation. We encourage individuals from all backgrounds to apply. As an equal-opportunity employer, we celebrate diversity and are committed to creating an inclusive environment for all employees.
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