Ai developer állások XV. kerületben (programozó, fejlesztő)

• Ownership and delivery of well-defined stories independently with understanding of team architecture, frameworks, and tools
• Active contribution to code reviews, testing practices, and maintenance of service stability

• Design and scale sovereign AI platforms on Azure Kubernetes Service (AKS)
• Ensure high availability and reliability for multi-agent AI systems
• Enable secure enterprise-grade AI deployments
• Architect Zero-Trust environments for LLM-based solutions

• Sales forecasting and production planning processes for a non complex vehicle line and markets
• Accurate and timely submission of sales requirements for responsible market(s) and models
• Participation and active role in monthly Ford of Europe senior management reviews

• Új backend alkalmazások és funkciók fejlesztése Java és kapcsolódó technológiák segítségével
• RESTful API-k tervezése és megvalósítása, amelyek hatékonyan kommunikálnak az adatbázisokkal
• A teljes fejlesztési életciklusban való aktív részvétel: tervezés, fejlesztés, tesztelés és telepítés

• Shaping engineering strategy with broad organizational impact
• Driving platform evolution by identifying cross-cutting pain points and leading the design of secure, scalable, reusable solutions built on AWS and modern serverless and microservice patterns

Design, build, and maintain large-scale C++ analytics libraries with emphasis on performance, correctness, extensibility, and long-term maintainability in a production environment...

• Design, build, and own secure, scalable cloud-native services using C#/.NET and AWS
• Lead technical decision-making balancing performance, reliability, security, and cost considerations
• Use AI-powered tools to enhance coding, debugging, testing, and prototyping while ensuring quality and safety

• Design and build knowledge tracing and longitudinal learner models that support mastery and progression features surfaced to customers
• Define what "mastery" and "progression" mean operationally: constructs, model targets, and evaluation criteria aligned to learning outcomes and product requirements

• Design, build, and ship production retrieval systems
• Own vector store selection and operation
• Build and operate indexing and refresh pipelines
• Implement semantic and hybrid retrieval
• Own retrieval evaluation as a first-class system
• Make and defend the core tradeoffs of the domain

• Design and implement observability with centralized monitoring, logging, and alerting strategy for all custom integrations
• Define service level objectives (SLOs) and service level indicators (SLIs) aligned with customer expectations and business impact

• Webalkalmazások és weboldalak frontend fejlesztése HTML, CSS, JavaScript és modern frontend keretrendszerek használatával
• Felhasználói felület (UI) és felhasználói élmény (UX) tervezése és implementálása
• Alkalmazások reszponzív és keresőbarát (SEO) kialakítása

• Design, build, and own production features across the full stack (React, Node.js, TypeScript, and AWS)
• Collaboration on modern web experiences, ensuring smooth state management, reusable UI patterns, and resilient backend services

• Leading a Core Modelling team building the foundational CAD engine
• Regularly reviewing and challenging engineering design documents
• Building and mentoring a high-performing engineering team
• Contributing to strategic planning and execution as part of the Engineering Leadership Team

• Working across the complete software lifecycle including requirements, planning, development, release and support and maintenance
• Developing Linux device drivers and exposing these to application software

• Delivery of complex data engineering projects across industries
• Leading small delivery teams
• Management of customer relationships alone or with a Project Manager
• Mentoring more junior engineers
• Evaluating the quality of junior engineers' work
• Contributing to hiring best-in-class data engineers

• Design, develop, and maintain backend services and APIs that support scalable cloud and on-prem systems
• Take part in architectural discussions, prototyping, and evaluating technical feasibility
• Optimize, test, and continuously improve system performance and reliability

• Build and maintain scalable cloud infrastructures using modern services and best practices
• Proactive detection, analysis, and fixing of vulnerabilities and performance bottlenecks in cloud environments

• Design and implement SAP IS-U developments using ABAP and ABAP OO supporting core IS-U processes such as billing, invoicing, device management, and customer service
• Assist in SAP IS-U implementation projects and provide development support in productive environments (AMS and long-term support)

• 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

• End-to-end implementation of data pipelines and GenAI applications on Databricks
• Design and maintenance of CI/CD, model serving, monitoring, and evaluation frameworks for AI production reliability
• Tuning of complex Spark jobs and LLM inference patterns for efficiency and latency optimization