59 минут назад
Senior AI Engineer (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI Engineer (Fintech): Building and deploying production-grade AI applications, agents, agentic workflows, and LLM-based payment solutions with an accent on AWS AI/ML services, RAG systems, and MLOps. Focus on integrating agents with enterprise systems, evaluating model behavior and reliability, and turning AI prototypes into scalable production services.
Location: Sofia, Bulgaria; fully distributed and remote
Company
is a global payment service provider and acquirer offering online, mobile, in-store, and telephone payment solutions with acquiring, local and global payment methods, fraud management, and performance optimization.
What you will do
- Design, build, maintain, and roll out production-grade AI applications, services, and integrations.
- Develop AI agents, agentic workflows, LLM applications, automation, and AI-assisted business processes.
- Build RAG solutions covering document ingestion, chunking, embeddings, vector search, reranking, and grounding.
- Implement AI systems with Python frameworks, React, AWS Bedrock, Bedrock AgentCore, SageMaker, and other cloud-native services.
- Contribute to ML pipelines and MLOps, including training, deployment, monitoring, evaluation, and lifecycle management.
- Collaborate with engineering, product, data, cloud, DevOps, security, and business stakeholders on reliable AI delivery.
Requirements
- 7–8 years of professional experience in software engineering, AI engineering, ML engineering, data science, or related technical roles.
- 2–3 years of experience developing AI or ML solutions and deploying models to production.
- Strong Python development experience with FastAPI, Flask, Django, or equivalent frameworks, plus some React experience.
- Practical experience with AI agents, agentic workflows, LLM applications, RAG, embeddings, fine-tuning, evaluation, and orchestration frameworks.
- Strong AWS experience, including Bedrock, Bedrock AgentCore, SageMaker, and related AI/ML services.
- Experience with PyTorch or TensorFlow, Hugging Face Transformers, LLM APIs, vector databases, MLOps, API design, microservices, security, and governance.
Nice to have
- Experience with Bedrock Agents, Knowledge Bases, Guardrails, Docker, EKS/ECS, Terraform, AWS CDK, or CloudFormation.
- Experience with data platforms, real-time processing, responsible AI, observability, enterprise integrations, or AI governance.
- AWS certifications, open-source contributions, technical publications, conference talks, patents, or fintech experience.
Culture & Benefits
- Fully distributed remote work with a casual atmosphere and modern hardware.
- Professional development through books, training, and certifications.
- 25 days of paid holiday, plus one additional day for every two years with the company.
- Team-building activities and a fast-growing, challenging payments business.
Hiring process
- Submit a CV in English.
- Only shortlisted candidates will be contacted.
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