Make Your Resume Now

Lead AI Engineer

Posted August 27, 2025
FullTime

Job 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.

Ready to Apply?

Take the next step in your career journey

Stand out with a professional resume tailored for this role

Build Your Resume – It’s Free!