Forward Deployed AI Engineer
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Forward Deployed AI Engineer
Location
Wrocław, Poland
Experience
Mid
Posted
Jul 14, 2026
Apply by
July 31, 2026
Applicants
0
Early applicantEasy applyFull-timeHybrid
Job Description
# About the Hiring Process
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## 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, they're 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
We're 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. You'll 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, you'll thrive here.
# What You'll 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 We're 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
### Nice to Have;
- Forward Deployed Engineer, Customer Engineer, Solutions Engineer, or Product Engineer experience
- Experience with Databricks, Spark, Snowflake, or dbt
- Experience building AI/LLM applications (LangChain, LangGraph, RAG, Vector Databases)
- Startup or founding engineer experience
- FinTech or enterprise SaaS background
# What We Offer
- Competitive salary
- Meaningful equity
- Fully remote work within the European Time Zone
- Employer of Record (EOR) employment
- High ownership and direct customer impact
- Opportunity to work with cutting-edge AI technologies
- Collaborative, high-performance engineering culture
- Career growth in one of Europe's 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, we'd love to hear from you...
Key Responsibilities
- 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
- Develop scalable integrations, APIs, automations, and AI-powered workflows
- Design and implement data pipelines and integrations
- Build evaluation frameworks for AI systems
- Build rapid Proofs of Concept (PoCs) for enterprise prospects
- Translate technical concepts into business value for non-technical stakeholders
Skills Required
PythonSQLData EngineeringETLPipelinesData IntegrationsAPI DevelopmentAI WorkflowsCommunicationStakeholder ManagementOwnershipProblem SolvingCustomer CollaborationDatabricksSparkSnowflakedbtLangChainLangGraphRAGVector Databases
Benefits
- Competitive salary
- Meaningful equity
- Fully remote work within the European Time Zone
- Employer of Record (EOR) employment
- High ownership and direct customer impact
- Opportunity to work with cutting-edge AI technologies
- Collaborative, high-performance engineering culture
- Career growth
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