Engineer ai állások, munkák it programozás, fejlesztés területen

• Build AI-powered applications, agents, and automations
• Develop Python-based tools, workflows, and internal software systems
• Work with APIs, databases, external data sources, and AI models
• Use Claude Code, OpenAI, Cursor, GitHub Copilot, and similar tools to accelerate development

• Setting the technical direction for AI-enabled platform
• Architecting secure, scalable, serverless systems on AWS
• Defining patterns and governance practices for multiple teams
• Guiding AI value across the stack
• Mentoring senior engineers
• Leading org-wide design decisions

• Design and own secure, scalable services
• Guide technical decisions and evaluate trade-offs including AI-driven components
• Leverage AI tools to accelerate coding, debugging, testing, and prototyping
• Rigorously validate AI outputs to ensure quality and safety

• Setting technical direction across teams
• Leading design of secure, scalable MCP hosts and AWS microservices
• Influencing AI adoption through AI first solution design, model guidance, prompt strategy, and built-in governance and monitoring

• You are fully independent within our codebase.
• You ship complex tasks, weigh technical tradeoffs against business timelines and perform sharp code reviews that elevate your peers' implementations.
• You provide strategic insights to platform team leadership.

• You understand our platform architecture, existing integrations and tech stack (C#/.NET, MongoDB, Docker, Kubernetes, GCP/Azure) deeply enough to independently plan and ship features and integrations.
• You've shipped your first hardware provider integration or significantly improved an existing one.

• Product and system level installations
• Configurations in a scripted and automated manner
• Configuration and maintenance of Linux or Windows systems
• Configuration and maintenance of popular application servers and databases
• Following architecture specifications for real life deployments

At Limango IT, you'll have the chance to apply your ideas and expertise to improve customer service and order management for the German, Polish, and Dutch markets....

• Design and develop automation frameworks across frontend, backend, desktop, API, and data-driven systems
• Establish testing patterns and best practices for long-term maintainability
• Develop and maintain automated UI and end-to-end test suites using Playwright or Cypress

• Build and maintain backend services and APIs using Java and Python
• Work on event-driven data pipelines based on Kafka
• Take ownership of services end-to-end: design, testing, deployment, monitoring, and iteration
• Ensure code quality, including writing and maintaining automated tests

• Technical expertise and influence across LLVM compiler development for Arm and upstream
• Mentoring engineers inside the LLVM team and in the community
• Representation of Arm in the LLVM ecosystem, leading upstream contributions and influencing community direction

Design and build an automation test framework integrated into CI/CD pipelines and the SDLC Implement automated tests across API, integration, and end-to-end layers Write high-quality, maintainable test code with focus on reusability, stability, and execution speed Embed testing into the development...

• Develop both classical algorithms and modern machine learning techniques
• Implement algorithms efficiently on embedded hardware
• Optimize parameters for complex, hybrid image pipelines
• Develop innovative solutions for hardware-constrained challenges

• Lead end-to-end implementation of data pipelines and GenAI applications on Databricks
• Design and maintain CI/CD, model serving, monitoring, and evaluation frameworks for AI production reliability
• Tune complex Spark jobs and LLM inference patterns for performance optimization

• Implement and evaluate state-of-the-art motion planning and control approaches for highly unstructured environments
• Develop, refactor and maintain motion generation pipelines building blocks in a large robotics codebase
• Test approaches on real hardware in greenhouses

• Design, build, and maintain large-scale distributed data systems
• Develop data processing pipelines using technologies such as Spark and streaming solutions
• Work on systems that evaluate and ensure the quality and integrity of large-scale knowledge graphs

• Quality control of acquired field data
• Mobile laser scanning trajectory processing
• Terrestrial and mobile laser scanning data post-processing
• Alignment and adjustment of different measurements
• Quality control of post-processed data
• Solving GIS related tasks of processing
• Camera adjustment

• Work on-site at our headquarters in Munich to develop and maintain our robotic programming platform, Agile Core
• Maintain and improve the cross-platform build system architecture using modern CMake
• Implement and manage a build system and caching mechanisms to reduce compilation times

• Outbound and inbound lead generation campaigns through HubSpot and LinkedIn Sales Navigator
• Research and identification of potential clients in target industries such as IT services, fintech, manufacturing, and enterprise transformation

• Development of APIs for electrolysis systems and analysis devices
• Implementation of autonomous process control
• Conceptualization and implementation of degradation models for electrolysis
• Studying performance and degradation of electrolysis in dependence on different operating modes