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 - 6β8 PM local time
Start: ASAP
Planned Work Duration: 12 months
π₯ 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.
π§© 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.
βοΈ Project Phase:
ongoing
π¨βπ»Project Team:
5 team members (distributed, primarily asynchronous collaboration)
π€ 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
π‘ 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
π 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
π§ͺ Technology Stack:}Python (backend), React (frontend), LangGraph, Claude, AWS - plus broader AI/LLM tooling
π Interview stages:
β’ English check (15 minutes)
β’ internal technical interview (1-1,5 hour)
β’ client interview (1 hour)
π© Ready to Join?
We look forward to receiving your application and welcoming you to our team!

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