Lead, grow, and enable a small engineering team: hire, onboard, coach, and help each engineer succeed.
Own the technical direction and architecture across the stack (frontend to infrastructure), ensuring scalable, robust, and maintainable solutions.
Stay hands-on: contribute code, build prototypes, and ship high-quality software leveraging AI.
Translate business needs into technical roadmaps in close collaboration with Business Development, Product, and other stakeholders; prioritise and trade off explicitly.
Own end-to-end delivery: design, development, QA, deployment, and production monitoring with clear engineering standards.

Key requirements

Lead, grow, and enable a small engineering team: hire, onboard, coach, and help each engineer succeed.
Own the technical direction and architecture across the stack (frontend to infrastructure), ensuring scalable, robust, and maintainable solutions.
Stay hands-on: contribute code, build prototypes, and ship high-quality software leveraging AI.
Translate business needs into technical roadmaps in close collaboration with Business Development, Product, and other stakeholders; prioritise and trade off explicitly.
Own end-to-end delivery: design, development, QA, deployment, and production monitoring with clear engineering standards.

Jobs at Vicoland

1 active role from this employer in the JobMatcher catalog.

All company jobs

Jobs at Vicoland

1 active role from this employer in the JobMatcher catalog.

All company jobs

About the role

Vicoland is redefining the professional services market with Virtual Companies (Vicos). Our AI-driven SaaS platform enables freelancers, SMEs, and AI agents to operate like real companies, competing for large enterprise projects. We are backed by €20 million in Series A funding and work with enterprise clients such as BASF, Miele, Siemens, and Daimler. We are seeking a Senior Tech Lead for AI & Innovation who embodies technical excellence, pragmatic judgment, and entrepreneurial spirit to lead a small team of forward-deployed engineers.

Responsibilities

Lead, grow, and enable a small engineering team: hire, onboard, coach, and help each engineer succeed.
Own the technical direction and architecture across the stack (frontend to infrastructure), ensuring scalable, robust, and maintainable solutions.
Stay hands-on: contribute code, build prototypes, and ship high-quality software leveraging AI.
Translate business needs into technical roadmaps in close collaboration with Business Development, Product, and other stakeholders; prioritise and trade off explicitly.
Own end-to-end delivery: design, development, QA, deployment, and production monitoring with clear engineering standards.
Establish AI practices: context engineering, model selection, evaluation, tracing, and observability to measure quality.
Lead architectural discussions, code reviews, and retrospectives; foster a culture of ownership and continuous learning.
Act as sparring partner to the Chief Product Officer and leadership on technology strategy, build-vs-buy decisions, and team setup.
Build a p

About the role

Vicoland is redefining the professional services market with Virtual Companies (Vicos). Our AI-driven SaaS platform enables freelancers, SMEs, and AI agents to operate like real companies, competing for large enterprise projects. We are backed by €20 million in Series A funding and work with enterprise clients such as BASF, Miele, Siemens, and Daimler. We are seeking a Senior Tech Lead for AI & Innovation who embodies technical excellence, pragmatic judgment, and entrepreneurial spirit to lead a small team of forward-deployed engineers.

Responsibilities

Lead, grow, and enable a small engineering team: hire, onboard, coach, and help each engineer succeed.
Own the technical direction and architecture across the stack (frontend to infrastructure), ensuring scalable, robust, and maintainable solutions.
Stay hands-on: contribute code, build prototypes, and ship high-quality software leveraging AI.
Translate business needs into technical roadmaps in close collaboration with Business Development, Product, and other stakeholders; prioritise and trade off explicitly.
Own end-to-end delivery: design, development, QA, deployment, and production monitoring with clear engineering standards.
Establish AI practices: context engineering, model selection, evaluation, tracing, and observability to measure quality.
Lead architectural discussions, code reviews, and retrospectives; foster a culture of ownership and continuous learning.
Act as sparring partner to the Chief Product Officer and leadership on technology strategy, build-vs-buy decisions, and team setup.
Build a p

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