Senior Fullstack (Python + React) Engineer

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 - 68 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 pgvector 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 (1-15 hour)

client interview (1 hour)

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