Jobgether is hiring an AI Principal Engineer / Architect to lead the design and implementation of advanced AI systems for real-time decision-making in high-stakes environments. You will shape our AI strategy, drive model development, and ensure seamless integration of AI capabilities across product and platform teams.

What You'll Do

Architect and scale AI/ML systems for real-time and generative use cases, including embeddings, prompt pipelines, feature stores, and inference services.
Partner with product and engineering teams to integrate AI capabilities into workflows that detect fraud and surface actionable insights.
Develop reusable infrastructure, SDKs, and pipelines for LLM integration, prompt templating, and retrieval-augmented generation (RAG).
Define AI infrastructure standards, including model lifecycle management, versioning, deployment, monitoring, and CI/CD best practices.
Collaborate cross-functionally with product managers, engineers, and domain experts to shape AI-first features and ensure alignment with business goals.
Explore and prototype emerging AI tools, open-source models, and vector store technologies to test real-world applicability.
Champion engineering standards for reliable, testable, and observable AI systems.

What We're Looking For

8+ years of experience building scalable AI/ML systems, preferably in SaaS, B2B, or data-intensive environments.
Strong knowledge of generative AI, LLMs, prompt engineering, embeddings, vector search technologies (e.g., FAISS, pgvector), and RAG workflows.
Expertise in AWS-native AI/ML infrastructure (SageMaker, S3, Lambda, Step Functions, API Gateway).
Proven system design skills, balancing latency, scalability, experimentation, and cost.
Familiarity with the full AI lifecycle: prototyping, evaluation, deployment, monitoring, and optimization.
Experience leading cross-functional teams and mentoring engineers or data scientists.
Product-oriented mindset: ability to translate AI capabilities into solutions that deliver real user value.

Nice to Have

Advanced degree (Masters or PhD) in Data Science, Computer Science, or a related field.
Experience in fraud detection, fintech, risk management, or security domains.

Technical Stack

AWS: SageMaker, S3, Lambda, Step Functions, API Gateway
Vector Technologies: FAISS, pgvector

Team & Environment

You will collaborate closely with product and engineering teams in a collaborative and innovative culture with global impact.

Benefits & Compensation

Competitive salary with performance-based opportunities.
Flexible working arrangements and fully remote position within the EU.
Professional development support including courses, conferences, and certifications.
Opportunity to work with advanced AI technologies in a fast-growing, high-impact environment.
Influence strategic AI and product decisions at scale.
Collaborative and innovative team culture with global impact.