Senior Full Stack .Net Engineer with (AI/GenAI) (m/f/d)

Aras Corporation; Polska; On-site; PLN 180,000 - 280,000; Full time

Job summary

Aras Corporation is seeking a Senior Full Stack Developer to advance the AI enablement of our PLM platform. You will design and deliver AI Platform and AI Agents, leveraging .NET/C#, TypeScript, React, and cloud-native tooling to create scalable, enterprise-grade features.

You\'ll collaborate with product and engineering teams, implement LLM-driven capabilities, RAG pipelines, and AI workflows, and ensure reliable, secure deployments using Docker, Kubernetes, and OpenTelemetry.

Qualifications

• 7+ years in commercial software development delivering enterprise-grade solutions.
• Deep knowledge of .NET/C# and modern web frameworks.
• Proficiency in TypeScript/React.
• Hands-on experience with AI Agents and orchestration frameworks.
• Experience with Retrieval-Augmented Generation (RAG) and prompt engineering is a plus.
• Cloud experience with Azure; Docker and Kubernetes hands-on.
• Familiarity with DevOps/GitOps practices and IaC (Terraform).
• Excellent collaboration in Agile teams and discovery-driven work.

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.

Skills

Senior software development

Agile / Scrum

Team collaboration

Tools

.NET/C#

TypeScript

React

Azure

Docker

Kubernetes

LangChain

LangGraph

Microsoft Agent Framework

Job description

Aras is a leading provider of digital thread solutions for product lifecycle management (PLM) and engineering AI. As one of the fastest growing PLM companies, our AI-native, low-code platform enables the rapid delivery of flexible solutions that connect teams across disciplines and functions to critical product data and agentic AI throughout the product lifecycle and extended value chain. The world's largest manufacturers leverage Aras Innovator to manage complex product lifecycles, accelerate innovation, improve operational efficiency, and bring products to market faster. We collaborate with companies in some of the world's most innovative industries, including automotive, industrial equipment, aerospace and defense, high tech, and life sciences. 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.

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