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.
... PostgreSQL, MongoDB, DynamoDB, Azure DevOps, Jenkins, GitHub Actions About the project, We are seeking a skilled Senior .NET Engineer with experience in Cloud and AI technologies to join a dynamic development team on a project for one of our key Clients. In this role, you will design, develop and maintain robust, scalable, ...
... highly skilled Senior or Lead AI Engineer with experience in Python, willing to join a Project for one of our Key Clients., , This position offers a hybrid model, with 3 days per week working from the Warsaw office., , Are you passionate about moving beyond AI experimentation and building real-world, production-ready AI applications? ...
... insurance value chain, preparing and integrating large volumes of structured, semi-structured and unstructured data from diverse sources to make them usable for (Gen)AI solutions, contributing to the productive deployment and operation of machine learning and (Gen)AI solutions (MLOps), with a focus on use cases based on structured, ...
... CI/CD, NLP, OCR, Azure O projekcie, Tryb: hybrydowy (uzgodnione świadczenie usług 3 dni w tygodniu z biura projektu - Warszawa), , Poszukujemy osoby o profilu Senior Fullstack Python/AI Developer, która posiada min. 5 lat komercyjnego doświadczenia., , Wiodący stack technologiczny: React, https://jobeax.com/link/Z30sZYC3jcRenVso, ...
... wymagania - Min. 5 lat doświadczenia w Data Science/ AI - Bardzo dobra znajomość React/Next.js oraz Python/FastAPI, Azure Blob Storage, Document Intelligence, AI Foundry - Bardzo dobra znajomość LangGraph lub podobnych narzędzi orkiestracyjnych, prompt engineeringu i context engineeringu - Znajomość bazy danych PostgreSQL ...
... Governance, AI Act., Świadczenie usług z terytorium Polski., Świadczenie usług hybrydowo, 3/2 (min. 3 dni w tygodniu z biura PZU). Mile widziane, Doświadczenie z Azure AI Search, Power Platform., Certyfikaty Azure: Data Scientist (DP-100), AI Engineer (AI-102), AI Fundamentals (AI-900)., Znajomość branży ubezpieczeniowej oraz specyfiki ...
... this special title and constantly implement new ideas - Employment stability - revenue of PLN 2.1BN, no debts, since 2006 on the market - We share the profit with Workers - over PLN 76M has already been allocated for this aim since 2022 - Attractive benefits package - private healthcare, benefits cafeteria platform, car ...
... such as DocAI+. The role focuses on understanding business problems end to end, deriving data-driven and AI-supported solution approaches, and developing sustainable, tailored solutions that combine technological innovation with the bank's business objectives. As an AI Solutions Engineer you will take self-responsible ...
... engineering, and audio teams to deliver high-quality features, taking on broader technical responsibility and contributing to resourcing and planning decisions., Engineering Practices — Maintains and optimizes CI/CD pipelines with Azure DevOps, defines unit, integration, and end-to-end testing strategies, and champions security ...
... and interpretability within agentic frameworks - Design and implement data pipelines and infrastructure for training and deploying AI agents, leveraging Data Engineering best practices - Apply Software Engineering principles to build production-ready, maintainable, and well-documented AI systems - Work within an Agile development ...