DataArt

Client

Our client is an international SaaS company developing tools that empower businesses to create highly engaging digital experiences. Their solutions are trusted by thousands of organizations worldwide to collect, analyze, and act on user data effectively.

Project overview

The project is an interactive form builder designed for marketers, researchers, HR, sales, and customer experience teams to create engaging, conversational online forms, surveys, and quizzes.

Key features:
Visually appealing conversational design optimized for high completion rates
AI-powered data interpretation
Workflow and logic builders for personalized experiences
Brand customization options
Seamless integrations with various tools to automate data collection and streamline workflows

Position overview

We are seeking a Full Stack Engineer who builds with AI in the loop — both as a daily development practice and as a product capability. You are fluent with coding agents (Claude Code, Cursor, Copilot) and ship faster because of them, not despite them. You understand how to design, prompt, evaluate, and operate LLM-backed features in production — including model selection, context engineering, evals, guardrails, and cost and latency tradeoffs.

Beyond AI, you have deep Golang and React/TypeScript expertise and own features end-to-end: from understanding business requirements, through writing and testing code, to deployment and production monitoring. This role requires strong autonomy, proactive communication, and the ability to deliver reliable, scalable solutions in a modern cloud environment.

This position operates according to the CET time zone.

Responsibilities

• Design and ship LLM-powered product features: prompt design, retrieval, tool and function calling, structured outputs, streaming, evaluation harnesses, and guardrails.
• Operate AI features in production: monitor quality, latency, cost, and failure modes; iterate on prompts, models, and architectures based on real usage.
• Use AI coding tools (Claude Code, Cursor, Copilot) as a core part of your workflow to accelerate delivery without compromising code quality.
• Design, develop, and maintain backend services using Golang and frontend applications using React/TypeScript.
• Collaborate with product managers, designers, and other engineers to translate business requirements into technical solutions.
• Implement event-driven architectures leveraging Kafka for real-time data processing.
• Manage and optimize AWS environments, ensuring scalability and reliability.
• Define and maintain infrastructure using Terraform and deploy services in Kubernetes clusters.
• Build and maintain CI/CD pipelines in Jenkins for automated deployments.
• Ensure high-quality code through comprehensive testing and code reviews.
• Monitor application performance and troubleshoot issues in production environments.
• Contribute to UI/UX improvements and ensure seamless integration between frontend and backend.

Requirements

• Demonstrable production experience shipping LLM-powered features. Be ready to walk through a feature you built: prompts, evaluation approach, failure modes you fixed, and how you measured success.
• Hands-on with at least one major LLM provider's API (Anthropic, OpenAI, AWS Bedrock, or equivalent), including streaming, tool use, and structured outputs.
• Daily use of AI coding assistants in your workflow; able to articulate where they help, where they hurt, and how you maintain code quality.
• Strong, in-depth knowledge of Golang.
• Experience delivering complex backend systems from design to production.
• Solid background with Kafka and event-driven architectures.
• Hands-on experience managing AWS environments.
• Proficiency with Terraform for infrastructure-as-code.
• Experience deploying and operating services in Kubernetes.
• Building CI/CD pipelines in Jenkins.
• Proven ability to ensure quality through comprehensive testing.
• Strong proficiency in React and TypeScript.
• Experience contributing to front-end features, UI components, and client-side logic.
• Ability to seamlessly integrate frontend with backend services.
• Excellent English communication skills, written and spoken.
• Self-driven and able to work independently while managing workload effectively.

Nice to have

• Experience with agent frameworks, multi-step tool-use loops, or RAG systems at scale.
• Built or maintained an evaluation pipeline (offline evals, LLM-as-judge, human review loops).
• Open-source contributions, published writing, or talks on applied AI engineering.

Client

Our client is a global entertainment company.

Project overview

This project centers on building a flexible multi brand ecommerce environment using the Shopify platform. The team aims to provide fast and accessible storefronts, custom app functionality, and stable backend integrations with internal business systems. The environment is expanding, and your contribution will help shape its evolution.

Position overview

You will work as a Shopify Engineer focused on creating reliable and scalable ecommerce experiences across several brands. You will develop custom themes, build Shopify applications, and design integrations that support a multi store ecosystem. Your work will contribute directly to improving performance, usability, and operational workflows for the product team.

Technology stack

Liquid, JavaScript, TypeScript, Node.js, Shopify Admin API, Shopify Storefront API, GraphQL, Git, Docker, Optional Python

Responsibilities

• Develop and customize Shopify themes using Liquid, HTML, CSS, and JavaScript
• Create reusable templates and components for multi brand setups
• Build and maintain private or public Shopify applications
• Integrate with Shopify Admin and Storefront APIs and work with webhooks
• Implement secure authorization flows using OAuth
• Build backend services with Node.js for app functionality and platform integrations
• Support data synchronization with ERP, PIM, or CRM systems
• Ensure strong performance, SEO readiness, accessibility, and smooth overall UX
• Troubleshoot platform issues and optimize storefront speed
• Collaborate with designers, product managers, and QA specialists throughout delivery

Requirements

• Experience of three years or more working in the Shopify ecosystem
• Strong knowledge of Liquid and Shopify theme development
• Practical experience with JavaScript and TypeScript
• Experience with Shopify APIs using REST or GraphQL
• Understanding of ecommerce flows such as catalog, cart, checkout, promotions, and payments
• Ability to work independently and take ownership of deliverables

Nice to have

• Python experience useful for data integrations or ETL tasks
• Headless Shopify experience using Hydrogen, Remix, or Next.js
• Experience with multi store or multi language setups
• Familiarity with TailwindCSS or other UI frameworks
• Background in building Shopify apps with Node.js
• Experience with Shopify Plus