Opis
Обязанности: Design, test, and optimize prompts for LLMs to ensure high-quality outputs for Credit & Lending use cases., Develop and implement solutions using RAG and vector databases to extract insights from complex financial data., Participate in the full lifecycle of AI solutions, from problem discovery and prototyping to deployment and scaling., Apply AI best practices to promote fairness, transparency, and accountability across models and applications., Collaborate with cross-functional teams to align technical efforts with strategic business goals., Write and maintain high-quality, reusable, and testable code utilizing cloud platforms (Azure, GCP)., Co-author solutions architecture and maintain products in production environments.
Опыт: 3+ years of experience in Python and Java development., Proficiency with frameworks like FastAPI, LangChain, and Spring., Strong knowledge of SQL (PostgreSQL), Vector Databases, and KV stores such as Redis., Experience with Microservices architecture, API design, Kubernetes, CI/CD tools (Jenkins, Azure DevOps, GCP Cloud Build)., Practical expertise in TDD, BDD, and working with LLM architectures in domain-specific data., Knowledge of RAG, Prompt Engineering, and Agentic architectures., Background in machine learning, deep learning, NLP, and experimenting with LLMs for AI solutions., Fluent English communication skills, with the ability to present technical solutions clearly to business stakeholders., Eligibility to work in Europe: Only c
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