PWC:OUT:AI Engineer/AI Architect
Removed from the employer's board on Oct 30, 2026. First seen by Alion on Oct 16, 2026.
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RITS Group is an IT company that offers top-quality software development services for both the Polish and international markets. We are proud to be among the fastest-growing technology companies. Our priority is the quality and innovation of the solutions we deliver, and our organizational culture is built on trust, collaboration, and continuous improvement.
Responsibilities
Design, develop, and maintain AI-powered applications, intelligent agents, and multi-agent orchestration workflows.
Build and optimize agent orchestration frameworks and execution harnesses using LangGraph, LangChain, Deep Agents, or similar technologies.
Develop and integrate LLM-powered solutions, including AI assistants, copilots, and agentic workflows, using appropriate models and tools.
Design, implement, and optimize RAG pipelines, including data retrieval, context management, and integration with structured and unstructured data sources.
For the AI Architect role, define solution architecture and technical standards based on DDD, EDA, and scalable software engineering principles.
Build end-to-end automation solutions, including scripts, workflow orchestration, API integrations, ETL pipelines, and AI-driven business process automation.
Collaborate with business and technical stakeholders to translate requirements into production-ready solutions, ensuring scalability, reliability, security, maintainability, and effective monitoring.
Requirements
100% remote
Salary up to: 180zł net/h/B2B
Benefits
Professional experience: Minimum 6 years of experience for the AI Engineer role and 10+ years for the AI Architect role in software engineering, AI engineering, or solution architecture.
Programming skills: Strong hands-on experience with Python and the ability to design, develop, and maintain production-ready software solutions.
Agentic AI and orchestration: Proven experience building multi-agent workflows, orchestration layers, and agent harnesses using frameworks such as LangGraph, LangChain, Deep Agents, or equivalent technologies.
LLMs and RAG: Practical experience integrating Large Language Models (LLMs), designing Retrieval-Augmented Generation (RAG) pipelines, and developing AI-powered assistants and agents.
Software architecture: For the AI Architect role, strong knowledge of Domain-Driven Design (DDD), Event-Driven Architecture (EDA), and designing scalable, secure, and maintainable distributed systems.
Automation and integrations: Experience building end-to-end automation solutions, integrating systems through REST/SOAP APIs, webhooks, Microsoft Graph API, and authentication mechanisms such as OAuth.
Cloud and engineering practices: Experience deploying and maintaining production solutions using cloud platforms, preferably Microsoft Azure, Azure OpenAI, Azure Functions, Docker, and CI/CD tools. Familiarity with data platforms such as Databricks or Snowflake is an advantage.