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.
Work Mode
This is a fully remote position for candidates located within the European Union.
Jobgether is an equal opportunity employer.


