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Senior Fullstack (Python + React) Engineer

Key Facts

Remote From: 
Full time
Senior (5-10 years)
English

Other Skills

  • β€’
    Troubleshooting (Problem Solving)
  • β€’
    Collaboration
  • β€’
    Time Management
  • β€’
    Lateral Communication
  • β€’
    Organizational Skills
  • β€’
    Mentorship
  • β€’
    Problem Solving

Roles & Responsibilities

  • Proficiency in React and ability to design user interfaces, components, and data structures
  • Backend experience with FastAPI, Flask, or Django and designing scalable APIs
  • Strong experience with SQL (PostgreSQL) and NoSQL (MongoDB), plus vector databases/extensions like pg_vector, OpenSearch, or Pinecone
  • Hands-on AWS experience and cloud-native architectures (Docker, Kubernetes) with infrastructure as code (Terraform)

Requirements:

  • Design and implement AI agents and multi-agent systems using LangGraph and AWS Bedrock with vector storage support for RAG pipelines
  • Develop scalable architectures for complex AI workflows and agent-based systems, leading system design decisions
  • Apply testing, CI/CD, and observability best practices; troubleshoot infrastructure for optimal performance
  • Mentor engineers, conduct code reviews, and collaborate across a distributed global team to deliver AI solutions

Job description


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

πŸ‘₯ 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.

βš™οΈ Project Phase:

ongoing

πŸ‘¨β€πŸ’»Project Team:

5 team members (distributed, primarily asynchronous collaboration)

🀝 Soft Skills:

β€’ Highly proactive with the ability to independently identify stakeholders and drive tasks forward

β€’ Strong stakeholder management skills across technical and non-technical audiences

β€’ Curious mindset with a focus on continuous improvement and challenging existing processes

β€’ Excellent communication skills for cross-functional collaboration

β€’ Strong time management and organizational skills

πŸ’‘ Hard Skills / Must Have:

β€’ Proficiency in React

β€’ Ability to design user interfaces, components, and data structures

β€’ Experience with backend frameworks such as FastAPI, Flask, or Django

β€’ Strong experience designing scalable APIs and backend systems

β€’ Hands-on experience with SQL (PostgreSQL) and NoSQL (MongoDB)

β€’ Experience with vector databases or extensions such as pg_vector, OpenSearch, or Pinecone

β€’ Hands-on experience with AWS, including deployment and infrastructure management

β€’ Familiarity with cloud-native architectures including microservices and containerization (Docker, Kubernetes)

β€’ Experience with infrastructure as code tools such as Terraform

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

β€’ Familiarity with AI agent frameworks such as LangGraph or similar

β€’ Experience with platforms such as AWS Bedrock or similar LLM orchestration environments is a plus

β€’ Strong understanding of software engineering best practices including testing and CI/CD

β€’ Strong problem-solving and system design skills

β€’ Fluent English communication skills

πŸ“Œ Responsibilities and Tasks:

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

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

β€’ Evaluate and implement efficient Generative AI solutions using direct API integrations when appropriate

β€’ Develop scalable architectures for complex AI workflows and agent-based systems

β€’ Apply best practices in testing, CI/CD, and observability

β€’ Lead system design and architectural decisions ensuring scalability and reliability

β€’ Mentor engineers and conduct code reviews

β€’ Troubleshoot technical and infrastructure issues and ensure optimal performance

β€’ Drive innovation and deliver impactful AI solutions in a distributed global team

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

πŸ“ž Interview stages:

β€’ English check (15 minutes)

β€’ internal technical interview (1-1,5 hour)

β€’ client interview (1 hour)


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

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