Senior Fullstack Engineer with AI (f/m/d)

Aras Corporation; Kraków; On-site; PLN 180,000 - 300,000; Full time

Job summary

Aras Corporation in Kraków, Poland, seeks a Senior Full Stack Developer to advance AI-enabled features in our PLM product. You will design and deliver AI Platform and AI Agents, blending enterprise software with cutting-edge AI capabilities using .NET/C#, TypeScript, React, and Azure.

Responsibilities include discovering problems with stakeholders, implementing AI-powered solutions, and driving delivery from concept to production while applying DevOps practices and scalable cloud-native

Qualifications

• 7+ years in commercial software development.
• Deep knowledge of .NET/C# and modern frameworks.
• Proficiency with web technologies (TypeScript, React).
• Hands-on experience building AI Agents using orchestration frameworks (LangChain/LangGraph, Microsoft Agent Framework).
• Experience with Retrieval-Augmented Generation (RAG), fine-tuning, prompt engineering techniques and Generative AI Evals.
• Solid experience with cloud platforms (Azure).
• Hands-on with Docker and Kubernetes.
• Understanding and practical use of DevOps/GitOps practices: CI/CD pipelines, IaC (Terraform), and modern deployment strategies.
• Collaborative, team-oriented mindset with ability to thrive in Agile environments.
• Ability to drive discovery: problem framing, rapid prototyping, iterative scope refinement.

Responsibilities

• Discover solutions: partner with product and stakeholders to explore problems, run discovery experiments, and refine scope quickly.
• Design and implement AI-powered features, leveraging LLMs, NLP, and multimodal AI to enhance user experience, process efficiency, and decision-making.
• Develop enterprise knowledge management systems that combine vector search, RAG pipelines, and semantic retrieval to surface accurate, context-aware insights.
• Develop conversational AI solutions using various chatbot development frameworks and platforms.
• Work on cutting-edge tech: Azure, Docker, Kubernetes, OpenTelemetry, Grafana; explore AI-powered development and automation.
• Embrace DevOps: build and own CI/CD pipelines, GitOps workflows, and progressive delivery strategies.
• Deliver high-quality solutions: write clean, testable code; enforce best practices; ensure reliability, scalability, performance.
• Drive delivery: take features from concept to production, ensuring outcomes and customer value.
• Continuously improve adopt new practices, share knowledge, and help shape our engineering culture.

Skills

.NET/C#

TypeScript

React

AI Agents frameworks

RAG & prompt engineering

Azure cloud

CI/CD / GitOps

Agile

Discovery & prototyping

Problem framing

LangChain / LangGraph

Microsoft Agent Framework

Tools

Docker

Kubernetes

Azure

Terraform

LangChain

LangGraph

Microsoft Agent Framework

OpenTelemetry

Job description

Aras Corporation is a fast-growing and innovative provider of software that drives productivity and profitability for the engineering, manufacturing, and infrastructure industries. Our resilient, open software platform empowers subscribers to deliver sustainable performance with flexibility and agility in today’s fast-changing markets.

At Aras, we foster an open and collaborative culture. We value our people, support their personal growth, and provide an environment where careers can take many paths.

Aras software is primarily built on Microsoft technologies, including .NET, SQL Server, and a broad set of Azure services. We leverage Docker, Kubernetes, and modern web technologies (TypeScript, React), as well as open standards such as OData, OAuth, OpenTelemetry

We are seeking a Senior Full Stack Developer to advance the AI enablement of our Product Lifecycle Management (PLM) application. In this role, you will design and deliver AI Platform and AI Agents. The ideal candidate combines strong software engineering expertise with practical knowledge of AI Agent frameworks, cloud platforms, and modern deployment practices.

Responsibilities:

• Discover solutions: partner with product and stakeholders to explore problems, run discovery experiments, and refine scope quickly.
• Design and implement AI-powered features, leveraging LLMs, NLP, and multimodal AI to enhance user experience, process efficiency, and decision-making.
• Develop enterprise knowledge management systems that combine vector search, RAG pipelines, and semantic retrieval to surface accurate, context-aware insights.
• Develop conversational AI solutions using various chatbot development frameworks and platforms.
• Work on cutting-edge tech: leverage modern cloud-native tools (Azure, Docker, Kubernetes), observability (OpenTelemetry, Grafana), and explore opportunities with AI-powered development and automation.
• Embrace DevOps: build and own CI/CD pipelines, GitOps workflows, and progressive delivery strategies to ensure fast, safe releases.
• Deliver high-quality solutions: write clean, testable code; enforce best practices; and raise the bar for reliability, scalability, and performance.
• Drive delivery: take features from concept to production, ensuring outcomes are met and customers get value quickly.
• Continuously improve adopt new practices, share knowledge, and help shape our engineering culture.

Requirements:

• 7+ years in commercial software development, with a strong track record of delivering enterprise-grade solutions.
• Deep knowledge of .NET/C# and modern frameworks.
• Proficiency with web technologies (TypeScript, React)

• Hands-on experience building AI Agents using orchestration frameworks (LangChain/LangGraph, Microsoft Agent Framework). - AI experience is a must
• Experience with Retrieval-Augmented Generation (RAG),
  fine-tuning,
  prompt engineering techniques and
  Generative AI Evals

• Solid experience with cloud platforms (Azure preferred).
• Hands-on with Docker and Kubernetes
• Understanding and practical use of DevOps/GitOps practices: CI/CD pipelines, IaC (Terraform), and modern deployment strategies.
• Collaborative, team-oriented mindset with ability to thrive in Agile environments.
• Ability to drive discovery: problem framing, rapid prototyping, iterative scope refinement.