Senior Full-Stack AI Engineer

Posted 4 Days Ago
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Amsterdam, NLD
In-Office
Senior level
Fintech • Software • Financial Services
The Role
Design, build, and scale production-grade agentic AI/LLM applications and reusable platform capabilities. Architect cloud-native, microservice-based AI systems with orchestration frameworks, evaluate and optimize AI performance, and translate prototypes into secure enterprise solutions while driving engineering best practices.
Summary Generated by Built In
Company Description

Varrlyn is a consulting firm which was founded in 2010 and is based in The Netherlands. We help financial institutions with system implementations and provide some serious application support, concentrating on the way they process transactions and deploy reporting applications.

Varrlyn has a proven track record: we have worked for financial institutions in Amsterdam, Brussels, London, Paris, New York, Frankfurt, and Sydney. We help improve cost efficiency, simplify application architecture, optimize time to market, enhance straight-through processing, and ensure compliance with financial regulations. In other words: You do the deal, we’ll do the project.

 

Job Description

Build the future of AI-driven banking

Our client's Agentic AI Centre of Excellence is building the next generation of AI-powered products and engineering capabilities. We are looking for engineers who don't just implement AI solutions—they shape how they are designed, validated, and scaled across one of Europe's largest banks.

You are someone who naturally experiments, challenges assumptions, and turns ideas into working software. You don't wait for perfect requirements. You reduce uncertainty by building, testing, measuring and iterating.

What you'll do

  • Design and build production-grade Agentic AI applications.
  • Architect AI systems using modern orchestration frameworks such as LangGraph or similar.
  • Design reusable AI platform capabilities that can be adopted by multiple engineering teams.
  • Build scalable cloud-native services using modern software engineering principles.
  • Evaluate AI systems using quantitative metrics and continuously improve their performance.
  • Translate prototypes into secure, reliable enterprise solutions.
  • Challenge existing ways of working and help shape engineering best practices across the organization.

Qualifications

Must-have requirements:

  1. 5+ years of hands-on software engineering experience with a strong foundation in backend or full-stack development.
  2. Proven experience building production-grade Agentic AI or LLM applications, not just prototypes.
  3. Deep understanding of AI architecture, including orchestration, design trade-offs, and scalable AI system design.
  4. Hands-on experience with LangGraph, LangChain or similar agent frameworks, combined with Python.
  5. Strong cloud and platform engineering skills, preferably Azure, Kubernetes, Docker and CI/CD.
  6. Experience building scalable microservices and distributed systems in an enterprise environment.
  7. Able to measure and optimize AI performance, using metrics, evaluation frameworks and continuous improvement.
  8. Strong bias toward action, with experience rapidly prototyping, validating ideas and driving change in ambiguous environments.
  9. Demonstrated ownership and measurable business impact, with clear examples of technical decisions that improved products or processes.
  10. Excellent communication skills, able to explain technical decisions, challenge existing approaches and inspire confidence through enthusiasm and curiosity.

Additional Information

Acquisition in response to this vacancy is not appreciated.

 

Skills Required

  • 5+ years of hands-on software engineering experience with backend or full-stack development
  • Proven experience building production-grade Agentic AI or LLM applications
  • Deep understanding of AI architecture, orchestration, design trade-offs, and scalable AI system design
  • Hands-on experience with LangGraph, LangChain or similar agent frameworks
  • Proficiency in Python
  • Strong cloud and platform engineering skills (preferably Azure), Kubernetes, Docker and CI/CD
  • Experience building scalable microservices and distributed systems in an enterprise environment
  • Ability to measure and optimize AI performance using metrics and evaluation frameworks
  • Demonstrated ownership and measurable business impact from technical decisions
  • Excellent communication skills and ability to influence engineering best practices
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The Company
HQ: Amsterdam
15 Employees
Year Founded: 2010

What We Do

Varrlyn is a consultancy firm established in 2010 and based in Amsterdam, The Netherlands. Having worked all over the world, we now pour our global experience into the Dutch market. At Varrlyn, we are trained to think ahead. With advanced digital tools, we enjoy turning any obstacle into a chance to thrive. It’s all about thinking in terms of opportunities, together. A positive mindset - that's what got us this far. Thinking of doing something deemed impossible? Once you realize nothing is impossible, you are free to dream. We’ll help you plan and thrive. Because at Varrlyn we believe that if something is achievable, we can - and will - achieve it together. Get ready to improve your cost efficiency, simplify your application architecture, optimize the time to market, increase straight-through processing – whilst meeting all regulatory requirements. You do the deal, we do the project. At Varrlyn, we take processes apart. We clarify, design and implement the most intricate financial IT projects; as a complete custom-designed package, or in parts. If the tangle turns out too wild to tame, we "simply" build a new IT landscape from scratch. Get to know our four Valuestreams. -Dealing room & Sustainability services We’ll unburden you by taking care of your entire trade lifecycle. Get ready a for positive, sustainable change! - Asset management Step up your game as a data-driven organization: digitise your processes without losing sight of the legal picture. - Finance & Risk Get a grip on the rapid changes and the unpredictable influences that keep hitting the financial services sector. - Digital services Our triple engine - dealing room & sustainability services, asset management, and finance & risk - is powered by our love for data and technology.

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