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Build AI-powered applications using LLMs, RAG pipelines, and vector search; implement agents, prompts, and evaluation loops while integrating enterprise APIs and data sources.
Build AI-powered agentic applications using LLMs, RAG pipelines, and vector databases, integrating enterprise APIs and cloud services while delivering rapid prototypes.
Build AI-powered agentic applications using LLMs, RAG pipelines, and vector databases, integrating enterprise APIs and deploying scalable services with Java/Python/TypeScript.
Builds AI-powered agentic applications by implementing LLM tooling, RAG pipelines, and vector search, integrating with enterprise systems, and ensuring safety/testing. Core tech: Python, TypeScript/Node.js, Java, LangChain, vector DBs (pgvector, Pinecone).
Build AI-powered applications using Java full-stack, Python, and TypeScript, implementing agents, RAG pipelines, and vector search for rapid prototyping and production systems.
Design and implement scalable test automation frameworks, set quality standards, and integrate automated tests into CI/CD pipelines using Python and modern testing tools.
Designs and runs tests for AI systems using Python and PyTest, ensuring accuracy and robustness while adhering to government standards.
Build AI-powered agentic applications using LLMs, RAG pipelines, and vector databases, integrating enterprise APIs and ensuring robust testing and safety.
Build AI-powered agentic applications using LLMs, RAG pipelines, and vector databases, integrating APIs and cloud services while writing clean, testable code and CI/CD pipelines.
Build AI-powered applications using LLMs, RAG pipelines, and vector databases; implement agents, prompts, and APIs while owning full-stack development and CI/CD.
Build AI-powered applications using LLMs, RAG pipelines, and vector databases; implement agents, prompts, and CI/CD while integrating enterprise APIs and ensuring safety.
Builds and maintains Python-based financial applications for capital markets, including REST APIs, reporting tools, and CI/CD pipelines.
Lead GenAI testing for financial-services AI initiatives, designing test cases for LLMs and AI agents, automating with Python/Selenium/Pytest, and ensuring safety and accuracy.
Develops and maintains automated test frameworks (Python/Pytest) for medical devices and embedded systems, ensuring hardware-software integration, system reliability, and regulatory compliance in a US-based healthcare product environment.
Architect and build high-throughput, low-latency FastAPI microservices for a cloud-native backend, using async Python, PostgreSQL, Redis, and Kubernetes.
Senior Python developer builds and scales Flask-based REST APIs and backend systems, using PostgreSQL, Redis, Celery, and Docker in a remote role for a high-growth client.
Test AI agent workflows and LLM-based applications for accuracy, hallucinations, and consistency using Python, RAG pipelines, and tools like Azure OpenAI or AWS Bedrock.
Разрабатывает и поддерживает автотесты на Python для проверки отчетности банка, используя Playwright/Selenium, pytest и AI-инструменты.
Builds and runs automated tests for a large HR platform’s web, mobile, and backend services using Python, Pytest, and CI/CD pipelines.
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