When you apply our AI-powered matching platform considers you not only for this opportunity but also for other relevant roles across our network so one application can unlock multiple career opportunities.
We only work with real companies hiring for live positions. Every opportunity on our platform is an active search. If theres a strong match well guide you through the process. If not we ignore you.
About the Company
Our client is a Series A fintech building AI-native infrastructure for financial operations. Their platform helps financial institutions automate complex data-heavy workflows through AI enabling customers to streamline operations improve decision-making and deliver measurable business outcomes.
Backed by experienced founders and growing rapidly across Europe theyre looking for engineers who thrive at the intersection of product data AI and customer impact.
Location: Remote (European Time Zone)
Employment Type: Full-time (EOR)
Level: Mid-Senior Level
Work Authorization: Must be based within the European Time Zone (EOR provided)
About the Role
Were looking for a Forward Deployed Engineer who owns customer outcomes not just code.
This is a hybrid role combining software engineering AI data engineering product thinking and customer collaboration. Youll work directly with enterprise customers build production-grade integrations and AI workflows rapidly deliver proof-of-concepts and turn customer needs into scalable platform capabilities.
If you enjoy solving ambiguous problems building production systems and seeing your work create immediate business impact youll thrive here.
What Youll Do
Customer Delivery;
Own enterprise customer implementations from discovery through production deployment
Work directly with customer teams to understand business challenges and define technical solutions
Build production-ready AI workflows integrations and data pipelines
Product Engineering;
Develop scalable integrations APIs automations and AI-powered workflows
Build features that initially solve customer-specific needs before evolving into core platform capabilities
Continuously improve platform scalability through automation
Data & AI;
Design and implement data pipelines and integrations
Build evaluation frameworks for AI systems
Ensure outputs remain explainable reliable and production-ready
Customer Success;
Build rapid Proofs of Concept (PoCs) for enterprise prospects
Help customers achieve measurable ROI quickly
Translate technical concepts into business value for non-technical stakeholders
What Were Looking For
Must Have;
5 years of software engineering experience
Strong Python and SQL skills
Experience building production software end-to-end
Strong data engineering background (ETL pipelines data integrations)
Customer-facing experience working directly with enterprise clients
Excellent communication and stakeholder management skills
Comfortable working independently in ambiguous environments
Strong ownership mindset with a focus on customer outcomes
Career growth in one of Europes fastest-growing AI fintech companies
If you enjoy building AI-powered products working directly with enterprise customers and turning complex technical challenges into measurable business outcomes wed love to hear from you...
About the Hiring Process When you apply our AI-powered matching platform considers you not only for this opportunity but also for other relevant roles across our network so one application can unlock multiple career opportunities. We only work with real companies hiring for live positions. Every opp...
About the Hiring Process
When you apply our AI-powered matching platform considers you not only for this opportunity but also for other relevant roles across our network so one application can unlock multiple career opportunities.
We only work with real companies hiring for live positions. Every opportunity on our platform is an active search. If theres a strong match well guide you through the process. If not we ignore you.
About the Company
Our client is a Series A fintech building AI-native infrastructure for financial operations. Their platform helps financial institutions automate complex data-heavy workflows through AI enabling customers to streamline operations improve decision-making and deliver measurable business outcomes.
Backed by experienced founders and growing rapidly across Europe theyre looking for engineers who thrive at the intersection of product data AI and customer impact.
Location: Remote (European Time Zone)
Employment Type: Full-time (EOR)
Level: Mid-Senior Level
Work Authorization: Must be based within the European Time Zone (EOR provided)
About the Role
Were looking for a Forward Deployed Engineer who owns customer outcomes not just code.
This is a hybrid role combining software engineering AI data engineering product thinking and customer collaboration. Youll work directly with enterprise customers build production-grade integrations and AI workflows rapidly deliver proof-of-concepts and turn customer needs into scalable platform capabilities.
If you enjoy solving ambiguous problems building production systems and seeing your work create immediate business impact youll thrive here.
What Youll Do
Customer Delivery;
Own enterprise customer implementations from discovery through production deployment
Work directly with customer teams to understand business challenges and define technical solutions
Build production-ready AI workflows integrations and data pipelines
Product Engineering;
Develop scalable integrations APIs automations and AI-powered workflows
Build features that initially solve customer-specific needs before evolving into core platform capabilities
Continuously improve platform scalability through automation
Data & AI;
Design and implement data pipelines and integrations
Build evaluation frameworks for AI systems
Ensure outputs remain explainable reliable and production-ready
Customer Success;
Build rapid Proofs of Concept (PoCs) for enterprise prospects
Help customers achieve measurable ROI quickly
Translate technical concepts into business value for non-technical stakeholders
What Were Looking For
Must Have;
5 years of software engineering experience
Strong Python and SQL skills
Experience building production software end-to-end
Strong data engineering background (ETL pipelines data integrations)
Customer-facing experience working directly with enterprise clients
Excellent communication and stakeholder management skills
Comfortable working independently in ambiguous environments
Strong ownership mindset with a focus on customer outcomes
Career growth in one of Europes fastest-growing AI fintech companies
If you enjoy building AI-powered products working directly with enterprise customers and turning complex technical challenges into measurable business outcomes wed love to hear from you...