# Senior genAI/LLM application developer at ABB

ABB is hiring a Senior genAI/LLM application developer. Level rates it Builds AI ●●●●; you can [apply on ABB](https://jobsbylevel.com/go/b1cf1c30-93fe-4da9-9f8b-fcce334a445e?utm_medium=ai-agent).

AI Level 4, AI centrality 90 out of 100. Remote (Ostrava, Moravskoslezský kraj, Czechia).

## Details

- Company: [ABB](https://jobsbylevel.com/companies/abb)
- AI level: AI Level 4 (score 90 out of 100)
- Location: Remote (Ostrava, Moravskoslezský kraj, Czechia)
- Posted: November 10, 2026
- Apply: https://jobsbylevel.com/go/b1cf1c30-93fe-4da9-9f8b-fcce334a445e?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-genai-llm-application-developer-at-abb-843388

## Prepare for this job

The job page lists 5 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/senior-genai-llm-application-developer-at-abb-843388

## Description

At ABB , we help industries run leaner and cleaner—and every person here makes that happen. You’ll be empowered to lead, supported to grow, and proud of the impact we create together. Join us and help run what runs the world. This position reports to: GenAI Application Dev Team Leader __ Are you interested in developing applications that leverage generative AI and large language models (LLMs)? We are expanding our team specializing in this type of application within our company, and you can become part of it. If you are excited about the current GenAI landscape, actively follow new developments, and have hands-on experience with at least some of the technologies and approaches listed below, we would love to talk to you. We offer a flexible hybrid setup, with home office as a natural part of our working style. We value mee-ting in person 2–3 days a week at our Ostrava offices. Job Responsibilities Design and development of advanced AI solutions – building applications based on large language models (LLMs) and generative AI, contributing to solution architecture, including the use of RAG patterns and LLMOps practices. Development of robust backend solutions in Python – using modern technologies and frame-works for API development, data transformation pipelines, and interactive tools; implementing testing strategies and ensuring application security, reliability, and performance. Azure environments and operations – working hands-on with the team to improve how our Azure environments are structured, configured, monitored, and maintained, while introducing consistent practices for their day-to-day management. DevOps and cloud integration – containerization, deployment to Azure environments, reverse proxy configuration (NGINX), CI/CD pipeline setup, version control management, API gateway integration, including MCP-based integrations, and deployment and lifecycle management of AI models and solutions using Azure AI Foundry. Data and API design – working with relational and NoSQL databases, designing schemas, optimizing queries, and integrating REST-based services with a strong focus on security, performance, and scalability. Collaboration and technical leadership – participating throughout the entire software development lifecycle, providing technical guidance within the team, maintaining documentation and engineering best practices, communicating in English, mentoring junior team members, and actively contributing to innovation and continuous professional growth. Who We’re Looking For University or high school education in IT, software engineering, or a related technical field; strong interest in generative AI (GenAI), large language models (LLMs), and related technologies. Excellent knowledge of Python, including experience with libraries and frameworks, such as FastAPI, NiceGUI, uv, alembic, polars, lxml, pydantic and Azure SDK, and automated testing using unittest. Practical experience in designing and developing larger software applications, including architecture design, software design patterns, and the full application lifecycle from design and testing to deployment and maintenance. Experience with containers and cloud technologies, including Docker and containerization. Experience with some of the following is advantageous: Kubernetes or Azure Kubernetes Service (AKS), Azure OpenAI, Azure AI Search, Azure AI Document Intelligence, Azure AI Foundry, and related Azure AI services; experience with management, monitoring, and version control of AI projects. Knowledge of databases (relational: PostgreSQL; NoSQL: MongoDB), schema design, and query optimization; experience with API design, documentation, and integration using REST, GraphQL, and gRPC; understanding of application security, including authentication and authorization, as well as familiarity with CORS and middleware. Experience with AI frameworks and libraries, such as LangChain, LangGraph, AutoGen, FAISS, Pinecone, and similar agentic frameworks; understanding of

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