Axior is seeking an Engineering Lead to manage a team of three engineers and take ownership of delivery, processes, and team performance for their AI-native developer workflow infrastructure. This is a hands-on role requiring strong experience with a TypeScript/Node.js/Next.js/AWS stack, AI infrastructure build, and introducing engineering processes. The position emphasizes strong collaboration across distributed teams with a preference for European timezone overlap.
About the role
About Axior
Axior is building CTN, a protocol-layer infrastructure designed for AI-native developer workflows. We are in the early stages of ecosystem growth and are focused on building visible traction within the open-source and AI developer community.
Role Objective
Lead the engineering team, with direct management of three engineers, while taking ownership of delivery, processes, and team performance. This is a hands-on delivery operator, not an architecture/oversight role.
ⓘ View potential timezone restrictions
This role works in close partnership with the Chief Architect--who focuses on vision, IP, and research--forming a complementary leadership structure. The position requires strong collaboration across distributed teams, European timezone (CET ±3h) strongly preferred -- team is across India and Sweden. Open to EMEA candidates with strong overlap.
Must have:
• Shipped a product to real users on a comparable stack (TypeScript/Node.js, Next.js, AWS)
• Hands-on: can read code, run apps, debug deployments, verify API responses
• Managed 3-8 engineers through sprint-based delivery
• AI experience, AI infrastructure build (worked on AI solutions or in AI companies, not using AI, building AI)
• Introduced engineering process (sprints, code review, release discipline) in a team that didn't have one
• Understands and excells in AI-assisted development (Cursor, Copilot, Claude Code) and where agent output breaks
Nice to have:
• 6+ years experience (but candidate likely has less due to AI assisted development knowledge requirement)
• Startup background (early employee at a company that reached product-market fit)
• Comfortable with LLM/AI product concepts (agentic loops, prompts, specs, MCP)
Stack: TypeScript, Node.js, Next.js, Prisma, PostgreSQL, AWS (Fargate/ECS/S3), Docker, MCP protocol, OpenRouter, Qdrant.
Dev tools: Cursor, Claude Code, Linear, GitHub, Slack.