Senior Fullstack Engineer (AI)

TL;DR

Senior Fullstack Engineer (AI): Building and optimizing high-load applications across the entire software stack, focusing on data pipelines, interactive widgets, and integrating AI for user insights. Focus on developing robust APIs, managing complex data transformations, and leveraging AI to enhance user decision-making.

Salary: 1,200–1,400 PLN net/day (B2B)

Company

hirify.global is a team that values open communication, shared knowledge, and mutual support for personal and organizational growth.

What you will do

• Collaborate with the team to identify and define functional requirements based on business needs.
• Implement UI components and integrate them with the API and storage layer.
• Build mnemonic-based data stores and data feed services to deliver supply chain data for widgets.
• Enable users to dynamically configure the PGM Model for multi-scenario, multi-mineral analysis.
• Leverage AI to explain, interpret, and guide users through scenario results via dashboards.
• Deploy components using Infrastructure as Code, Docker, and CI/CD pipelines.

Requirements

• Strong proficiency in JavaScript/TypeScript and experience creating custom React components and building ReactJS applications.
• Strong proficiency in Python 3.14 and experience developing RESTful APIs using Flask or FastAPI, including asynchronous job triggering.
• Comfortable working with Pandas, Dask, or Spark for data transformation and wrangling.
• Experience deploying to AWS and working with its various services (EC2, ECS/Fargate, ECR, Lambda / MWAA, S3, Cognito, DynamoDB, Aurora, CloudWatch, Secrets Manager, SQS).
• Experience with PostgreSQL and SQLAlchemy.
• Experience with ETL tools and workflow orchestration such as Airflow or Step Functions.
• Familiarity with infrastructure and deployment tools including Terraform, GitHub CI/CD, Docker, and Artifactory.
• Experience in unit testing (TDD) and/or dockerized integration testing.
• 5+ years of software engineering experience, particularly in web application development.

Nice to have

• General understanding of Bayesian networks and probability.
• Proven experience collaborating with data scientists and cross-disciplinary teams.
• Familiarity with RAG/LLMs, AI prompting, and Bedrock.

Culture & Benefits

• Team-oriented environment valuing open communication, shared suggestions, observations, and knowledge.
• Opportunities for personal and organizational growth with full support.
• Daily sharing of experiences and mutual help within the team.
• Agile environment with participation in cross-team project meetings, code reviews, and demos.