Senior AI Engineer (Remote)

About This Opportunity

We are representing a well-funded European fintech organization that is transforming how businesses manage their financial operations. Our client is building an integrated platform that combines multiple financial services into a seamless digital experience, and they need talented engineers to power the next generation of AI-driven capabilities.

As a Senior AI Engineer, you'll design, build, and operate production AI systems that solve real business problems. This is a hands-on engineering role focused on shipping production-grade AI capabilities—from prototype to deployment, evaluation to iteration. You'll work on high-impact initiatives across customer onboarding, support automation, document processing, fraud detection, and internal tooling.

This role is remote-friendly and based in Berlin, with flexibility to work across Europe.

Responsibilities

• Build and deploy AI-powered solutions using LLMs, RAG, tool calling, and agentic workflows
• Own AI systems end-to-end: problem definition, architecture, implementation, evaluation, deployment, monitoring, and continuous improvement
• Partner with product managers, domain experts, and engineering teams to integrate AI into real workflows
• Design quality and evaluation frameworks including offline evals, online metrics, failure analysis, and feedback loops
• Develop scalable inference pipelines with attention to latency, cost, security, and observability
• Work on use cases such as customer care automation, transaction classification, document understanding, knowledge systems, and fraud detection
• Contribute to platform and tooling decisions that improve reusability and consistency across teams
• Challenge assumptions, propose better approaches, and help shape the technical roadmap
• Experiment rapidly, learn from failures, and translate insights into stronger systems

What We're Looking For

Must-Have Skills:

• Proven experience building and deploying AI systems in production environments
• Strong Python and software engineering fundamentals
• Hands-on experience with LLM applications including: RAG, tool use, agents, prompt engineering, evaluations, structured outputs, guardrails, or fine-tuning
• Experience integrating AI systems into backend services or product workflows
• Ability to design meaningful evaluation, monitoring, and improvement loops
• Experience with cloud infrastructure and containerized deployments
• Strong ownership mindset and ability to navigate ambiguity
• Active experimentation with new AI models, tools, and patterns—with the judgment to evaluate what's production-ready
• Strong understanding of the evolving AI landscape and ability to turn advances into practical solutions
• Fluent English

Nice-to-Have:

• Experience in fintech, financial services, risk, compliance, or operations-heavy environments
• Applied ML experience beyond LLMs: classification, anomaly detection, ranking, document intelligence
• Experience with vector databases, knowledge systems, and retrieval infrastructure
• Experience with model benchmarking, experimentation frameworks, and optimization at scale
• Startup or founder background
• Open-source contributions or visible AI projects

Example Technologies:

You don't need experience with everything, but this role may involve: Python, SQL, OpenAI, Anthropic, LangGraph, Hugging Face, PyTorch, Docker, Kubernetes, AWS/GCP/Azure, vector databases, event-driven systems, and observability tooling.

How We Work With You

Candidates apply directly through Get A Job.ai. Our talent team will screen your application and conduct an initial interview to understand your background and goals. If there's a strong match, we'll submit your profile to our client for consideration. Please do not contact the client directly—all communication and coordination will flow through our recruiting team to ensure the best experience for everyone involved.

Pay

Compensation details will be discussed during the screening process based on experience and location.

Equal Opportunity: Get A Job.ai is committed to inclusive hiring practices. We welcome applications from candidates of all backgrounds and do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected characteristic.