AI Engineer

Stack

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Kostenlos, nach der Anmeldung.

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Beschreibung

Обязанности: Design, test, and optimize prompts for LLMs to support Credit & Lending applications., Develop and implement RAG-based AI solutions leveraging vector databases., Participate across all stages of the solution lifecycle — from ideation to deployment., Apply best practices in AI to ensure fairness, transparency, and accountability., Collaborate with engineers, product managers, and business experts to align goals., Write clean, testable, and reusable code., Use cloud platforms (Azure, GCP) for model development, deployment, and scaling., Co-author architecture and solution designs, supporting live production systems., Note: Detailed project information will be shared during the recruitment process. Опыт: Languages & Frameworks, • Python (3+ years), Java (regular)., • FastAPI, LangChain, Data containers, Spring., , Databases & Infrastructure, • SQL databases (PostgreSQL), Vector databases, Redis (KV stores)., • Azure / GCP, Kubernetes, CI/CD (Jenkins, Azure DevOps, GCP Cloud Build)., • Experience with containers and cloud-native architectures., , AI & ML Expertise, • Knowledge of LLMs and their usage on domain-specific data., • Experience with RAG, Prompt Engineering, and Agentic AI architectures., • ML, NLP, and deep learning experience, including experimentation and model development., , Engineering Practices, • Microservices architecture and observability concepts., • Strong understanding of API design and concurrency models., • Practical experience with TDD and B

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