Senior Fullstack (Python + React) Engineer

 Posted 2 months ago
  
 Poland
  
5-10 years experience
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AI Summary

Design and build scalable AI-driven systems, including multi-agent architectures and RAG pipelines, using Python and React. Lead architectural decisions, mentor engineers, and implement efficient Generative AI solutions within a distributed global team.


We are looking for a Senior Fullstack (Python + React) Engineer:}

Employment type: Full-time

Candidate Location: Poland

Working Time Zone: Occasional EST-friendly calls, max overlap - 6–8 PM local time

Start: ASAP

Planned Work Duration: 12 months

👥 Customer Description:

Our client is a leading global consulting company recognized for delivering high-impact solutions across industries.

The organization collaborates with large global enterprises, financial institutions, technology companies, and public sector organizations, providing advanced platforms and strategic services.

🧩 Project Description:

The project focuses on internal Generative AI initiatives within a geopolitics-related domain. The team operates in a distributed environment across multiple global regions.

The work involves building scalable AI-driven systems, including agent-based architectures and Retrieval-Augmented Generation pipelines, supporting complex workflows and high-demand use cases.

⚙️ Project Phase:

ongoing

👨‍💻Project Team:

5 team members (distributed, primarily asynchronous collaboration)

🤝 Soft Skills:

• Highly proactive with the ability to independently identify stakeholders and drive tasks forward

• Strong stakeholder management skills across technical and non-technical audiences

• Curious mindset with a focus on continuous improvement and challenging existing processes

• Excellent communication skills for cross-functional collaboration

• Strong time management and organizational skills

💡 Hard Skills / Must Have:

• Proficiency in React

• Ability to design user interfaces, components, and data structures

• Experience with backend frameworks such as FastAPI, Flask, or Django

• Strong experience designing scalable APIs and backend systems

• Hands-on experience with SQL (PostgreSQL) and NoSQL (MongoDB)

• Experience with vector databases or extensions such as pg_vector, OpenSearch, or Pinecone

• Hands-on experience with AWS, including deployment and infrastructure management

• Familiarity with cloud-native architectures including microservices and containerization (Docker, Kubernetes)

• Experience with infrastructure as code tools such as Terraform

• Experience with Generative AI systems including LLM APIs (e.g., OpenAI), embeddings, and RAG pipelines

• Familiarity with AI agent frameworks such as LangGraph or similar

• Experience with platforms such as AWS Bedrock or similar LLM orchestration environments is a plus

• Strong understanding of software engineering best practices including testing and CI/CD

• Strong problem-solving and system design skills

• Fluent English communication skills

📌 Responsibilities and Tasks:

• Work with PostgreSQL and vector extensions or OpenSearch/ElasticSearch for vectorized data storage supporting RAG pipelines

• Design and build AI agents and multi-agent systems using frameworks such as LangGraph and platforms like AWS Bedrock

• Evaluate and implement efficient Generative AI solutions using direct API integrations when appropriate

• Develop scalable architectures for complex AI workflows and agent-based systems

• Apply best practices in testing, CI/CD, and observability

• Lead system design and architectural decisions ensuring scalability and reliability

• Mentor engineers and conduct code reviews

• Troubleshoot technical and infrastructure issues and ensure optimal performance

• Drive innovation and deliver impactful AI solutions in a distributed global team

🧪 Technology Stack:}Python (backend), React (frontend), LangGraph, Claude, AWS - plus broader AI/LLM tooling

📞 Interview stages:

• English check (15 minutes)

• internal technical interview (1-1,5 hour)

• client interview (1 hour)


📩 Ready to Join?
We look forward to receiving your application and welcoming you to our team!

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