4 дня назад
Mid AI Engineer (FinTech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Mid AI Engineer (Python/LLM/FinTech): Building and shipping internal AI services from data pipelines and models to asynchronous APIs and microservices with an accent on retrieval pipelines, model evaluation, and production observability. Focus on deploying reliable LLM applications with FastAPI, Kubernetes, PostgreSQL, vector search, agent tools, and measurable quality and drift monitoring.
Location: Larnaca, Cyprus; hybrid work model with 2 days working from home
Company
is a multi-asset broker delivering trading tools, platforms, and services for financial markets.
What you will do
- Build and ship internal AI services end to end, from data pipelines and models to APIs used by other teams.
- Develop asynchronous REST APIs and microservices with FastAPI and Kubernetes for model serving and agent tool orchestration.
- Implement retrieval pipelines using PostgreSQL and pgvector, including chunking, embedding, indexing, retrieval tuning, and evaluation.
- Build training pipelines for data preparation, fine-tuning, evaluation, model registration, and production model promotion.
- Integrate agent tools and Model Context Protocol endpoints with tool-level access controls.
- Create evaluation sets, structural output checks, drift monitoring, structured logging, Prometheus metrics, and OpenTelemetry tracing; review and support the work of junior engineers and trainees.
Requirements
- Bachelor’s degree in Computer Science, Artificial Intelligence, Software Engineering, or a related field.
- 3+ years of backend software development experience, including production delivery of at least one machine learning or LLM application.
- Strong proficiency in Python and FastAPI, with solid PostgreSQL and SQL knowledge.
- Practical experience with retrieval-augmented generation, prompt design, structured outputs, and model-quality evaluation.
- Experience with Docker, Git, CI/CD, and containerized environments such as Kubernetes; working knowledge of a major cloud platform, ideally AWS.
- Full professional proficiency in English and legal authorization to work in Cyprus are required.
Nice to have
- Production experience with vector search tools such as pgvector, OpenSearch, or Qdrant.
- Exposure to multi-agent frameworks, Model Context Protocol, model registries, MLflow, or open-weight model serving with vLLM.
- Familiarity with ClickHouse, OpenTelemetry, Grafana, or Langfuse.
- Experience with FinTech platforms, FX trading, or financial services operations.
Culture & Benefits
- Hybrid work model with 2 days working from home.
- Health plan from the first day of employment, pension plan, and 13th salary payment.
- Additional paid annual leave of up to 30 days, carry-over leave, and birthday leave.
- Udemy Business access, gym membership, referral bonus program, and group discounts.
- Office meals and treats, monthly Wolt vouchers, and summer short Fridays in August.
- Visa sponsorship and relocation assistance may be available.
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