Lead backend engineering and system design for large-scale machine learning platforms, setting technical direction, mentoring engineers, and ensuring production reliability.
Compensation
$144,200.00 - $288,400.00
Responsibilities
Architect and build scalable, production-grade backend services (APIs, microservices, batch and streaming pipelines)
Design data contracts and interfaces between data engineering, model training, and production serving layers
Own the design of versioned, queryable feature stores and point-in-time lookup APIs
Design and optimize large-scale distributed computing workflows
Make build-vs-buy and architecture tradeoff decisions
Requirements
Bachelor's degree in Computer Science, Mathematics, Statistics, Engineering, Business Analytics, Economics, Physics, or related discipline
A 12-week internship providing in-depth insight into Sales Planning, contributing to Field Performance Reporting, Communications, and Quality Control projects.
Compensation
The hourly rate for this internship ranges from $21.00/hr- $27.00/hr. Rates will be based on your field of study and your academic year at the start of the internship.
Responsibilities
Gain in-depth insight into the Sales Planning role
Be involved in daily business and assigned tasks within projects such as Field Performance Reporting, Communications, and Quality Control
Play a role in the development of concepts and initiatives within the Sales Operations business unit
Lead the design, development, and deployment of cutting-edge AI solutions and agentic AI frameworks for the banking sector.
Compensation
$176,720.00 - $265,080.00
Responsibilities
Spearhead the end-to-end design, hands-on implementation, and deployment of scalable, robust agentic AI frameworks and generative AI solutions
Build full-stack applications that seamlessly integrate state-of-the-art ML/LLM tools and services into comprehensive AI solutions
Champion an MVP-first approach, focusing on rapid iterations, hypothesis testing, and A/B experiments
Design and implement rigorous metrics for AI system and performance
Proactively explore, prototype, and integrate the latest advancements in AI, particularly agent-based systems, autonomous AI, and generative technologies
This role involves working with customers to understand purchasing processes and building automated logic using SQL, Python, and low-code tools to optimize supply chain operations.
Locations (2)
Amsterdam, North Holland, Netherlands
Belgium
Responsibilities
Translate non-standard purchasing rules into automated workflows using SQL, Python and other tools
Dig into customer data to answer questions regarding cash flow, OTIF, container planning, service levels, and deadstock
Identify and resolve data discrepancies between Optiply and customer ERPs, WMS, or webshops
Track account health KPIs per customer such as service level, on-time/in-full, advice adoption and deadstock
Build and improve AI agents and automations behind the CS process
Requirements
Bachelor’s degree (HBO or WO) in Industrial Engineering & Management, Logistics, Supply Chain Management or a related quantitative field
Analytical role as the engine for finance business partners supporting GTM and Product organizations. The role involves aligning financial strategies with subscription business models and making workflows AI-native using Python and Claude.
Compensation
The expected annual compensation, depending on location and experience, is between $95,800.00 – $119,800.00 with a 10% annual bonus.
Responsibilities
Own monthly, quarterly and ad hoc reporting packages: actuals vs. plan and forecast, variance commentary and trend analysis.
Track GTM efficiency (CAC, net revenue retention, pipeline conversion, sales productivity) and Product investment (R&D spend, headcount mix, cost per feature).
Build driver-based models for bookings, ARR, pipeline coverage, quota capacity and R&D investment.
Prepare the monthly bookings flash, business review and board-level materials with a clear narrative, flagging data issues before they reach leadership.
Equip finance business partners with models, dashboards and talking points, and standardize templates and definitions so everyone works from one set of numbers.
Requirements
Bachelor's degree in Finance, Accounting, Economics, Business or a related field
Senior Algorithm Engineer responsible for translating mathematical and signal‑processing models into efficient, reliable, maintainable software for high‑integrity systems.
Responsibilities
Analyse mathematical, signal‑processing and system models
Design, implement and optimise production‑quality algorithms in modern C++
Convert theoretical models into deterministic, testable code
Integrate auto‑generated and hand‑written code within model‑driven development workflows
Develop, deploy, debug and support software on Linux targets
Requirements
Degree qualified in Computer Science, Software Engineering, Mathematics, Physics, Electronic Engineering or a related STEM discipline
Join the applied AI team at a fintech company building agent-powered tools for financial advisors. You will own the agent platform, creating reliable systems that help advisors and clients handle complex tasks and collaborate effectively.
Compensation
Base salary: $200,000 to $300,000 annually. Visa sponsorship is available.
Responsibilities
Build a general-purpose agent that plans and completes multi-step tasks using code execution, web search, and retrieval.
Develop ambient agents to triage email, process meetings, draft communications, and surface timely follow-up.
Design the agent harness that coordinates language models, context, tools, retrieval, and business logic.
Create generative interfaces and human-in-the-loop workflows that support collaboration between advisors and agents.
Build evaluation infrastructure for both factual financial tasks and judgment-intensive work.
Requirements
Computer science degree
Nice to have: generative UI
Nice to have: human-in-the-loop interface experience
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