Senior FullStack Engineer (Python+React)

#вакансия #vacancy #remote #React #Python

Senior Full-Stack Engineer (Python + React)

📣 We’re looking for a Senior Full-Stack Engineer with strong Python and React skills to join a globally recognized management consulting firm.
You’ll be part of a distributed international team working on internal GenAI initiatives. The role sits at the intersection of full-stack development and applied AI, focusing on building and supporting systems that enable generative AI use cases within the organization.

💡 What We’re Looking For:
-Experience or strong familiarity with React
-Ability to design user interfaces, components, and data models based on requirements
-Capability to quickly learn new frontend frameworks and deliver production-ready results
-Hands-on experience with backend frameworks such as Express, Flask, Django, FastAPI, or Golang
-Experience with web scraping
-Strong skills in designing scalable APIs and backend services
-Practical experience with SQL and NoSQL databases, including complex queries and performance tuning
-Experience working with cloud platforms (AWS, Azure, or GCP), including application deployment and infrastructure management
-Understanding of cloud-native architectures, microservices, and containerization (Docker)
-Familiarity with infrastructure as code (Terraform), cloud best practices, and environment troubleshooting

📌 Your Responsibilities:
-Work with PostgreSQL and OpenSearch/ElasticSearch to store vectorized data for RAG pipelines
-Use AWS Bedrock to help build GenAI agents with multi-agent capabilities
-Assess open-source frameworks for AI pipelines and focus on efficient API integrations
-Explore and apply multi-agent frameworks to enable interaction between automated agents

🧪 Technology Stack:
Python, React, PostgreSQL, Snowflake, MongoDB, Docker, Cloud Platforms, Terraform, GenAI, RAG, LangChain

🚀 Why This Role:
You’ll contribute to real GenAI initiatives inside a top-tier consulting organization, working with modern technologies and a globally distributed team. This is a strong opportunity to apply full-stack expertise while gaining hands-on experience with production-level generative AI systems.

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