Prompt engineer állások, munkák it programozás, fejlesztés területen

• Translate business requirements into technical solutions through workshops, prototyping, and iterative delivery
• Collaborate with customers across the delivery lifecycle (workshops, reviews, UAT) to refine and optimize solutions

Development and maintenance of modular and reusable AI systems Exploration of new technologies to enhance products Participation in design discussions Troubleshooting complex problems Contribution to codebase Building a collaborative, high-performing team culture Code review and support for...

Development of highly scalable services realizing AI/ML functionalities Implementation of machine learning solutions for computer vision and NLP use cases Work with Large Language Models (LLMs) and perform prompt engineering tasks Design and implementation of data transformation services for use...

Design, develop, deploy, monitor, scale, and troubleshoot ML and LLM-based systems Build automated AI testing and evaluation frameworks Collaborate with Applied Scientists and Software Engineers to implement and productize AI-based capabilities Shape and develop the teams AI platform infrastructure...

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 Advise on appropriate AI use including model concepts, prompt patterns, ethical and privacy...

Setting technical direction across teams Driving AI-native and cloud-native architecture and long-term system evolution Leading design of secure, scalable MCP hosts and AWS microservices Balancing performance, reliability, and cost in system design Influencing AI adoption through AI first solution...

Design and delivery of secure, high-performance microservices on AWS Driving architecture decisions and empowering team members through mentorship Setting technical direction across multiple teams Spotting system pain points and proposing improvements Pioneering AI-driven solutions by advising on...

Customer-Focused Outcomes: As a Senior SAP AI Engineer (f/m/d), you will be a key driver of customer value delivery, translating SAP AI architectural blueprints into fully functional, scalable, and production-ready solutions. Specifically, you will:...

SAP-alapú üzleti folyamatok és megoldási lehetőségek terén szakosodott üzleti részlegek támogatása tanácsadói szerepben SAP-rendszerek testreszabása szakmai követelmények és változtatási igények alapján Szakmai követelmények SAP-konfigurációkba és solution design-ba való átültetése SAP-alapú üzleti...

Identify and prioritise high-leverage AI and automation opportunities – and ship them, end to end....

• Engage closely with customers and SAP stakeholders to understand goals, challenges, and opportunities, translating them into a clear SAP AI architecture vision
• Design and deliver scalable, reliable end-to-end SAP AI solutions based on SAP AI Foundation and SAP Build Suite

• Build the backbone of Circonomit's technology and develop end-to-end features that deliver immediate value for our customers to map their reality into a semantic and computable model
• Build and refine high-quality, performant user interfaces with TypeScript and Solid.js

• Build the backbone of Circonomit's technology and develop end-to-end features that deliver immediate value for our customers to map their reality into a semantic and computable model
• Build and refine high-quality, performant user interfaces with TypeScript and Solid.js

Munkakörhöz tartozó feladatok ellátása....

As a Machine Learning Engineer in our Retail ML team, you will take end‑to‑end ownership of designing, developing and maintaining advanced machine learning solutions that directly influence our commercial performance. Your work will span dynamic pricing, demand forecasting and data‑driven buying...

• Conducting a comprehensive literature review on the current state-of-the-art methods in E2E driving and advanced uncertainty estimation techniques
• Integrating and validating suitable uncertainty estimation methods within the E2E driving pipeline