Senior Full Stack Engineer (Python / React)

Main responsibilities

Design and develop scalable backend services and RESTful APIs

Build and maintain modern full-stack applications using Python and React

Design and integrate AI-powered features including LLM integrations, machine learning models, and RAG-based architectures with vector search capabilities

Work with vector databases and AI orchestration frameworks such as LangChain

Design efficient data models and optimize database performance

Architect and maintain microservices-based systems

Lead integrations with third-party platforms through APIs, data pipelines, and automation workflows

Develop data analytics and predictive processing components

Implement automation pipelines and workflow orchestration

Ensure high performance, scalability, reliability, and security of systems

Write unit tests, integration tests, and maintain testing coverage

Participate in system design discussions, code reviews, and architecture planning

Contribute to architectural decisions and mentor other engineers where needed

Requirements

Higher education in Computer Science, Software Engineering, or a related field

6+ years of full-stack software development experience building and maintaining production-grade web applications

Strong proficiency in Python and backend frameworks such as Django or FastAPI

Experience with PostgreSQL, database design and data modeling

Strong experience with React.js / Typescript and modern frontend development (experience with Vue.js or Angular is a plus)

Experience with cloud platforms, particularly AWS or GCP services

Solid understanding of RESTful APIs, microservices, and system architecture

Familiarity with CI/CD pipelines

Experience with containerized applications (Docker, Kubernetes)

Fluent English and proven experience working in agile and distributed teams

Excellent communication and problem-solving skills Nice to Have

Experience with vector databases such as Pinecone, Weaviate, Milvus, or pgvector

Experience building RAG-based AI systems

Experience with LangChain, LlamaIndex, or similar AI orchestration frameworks

Experience with workflow automation platforms such as n8n, Make, or Airflow

Experience with data analytics, BI platforms, or large-scale data processing

Experience working on AI-enabled products or intelligent automation systems

About us

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