Develop scalable AI applications and work closely with teams in a hybrid environment for Coduct Solutions. Focus on innovative solutions using modern cloud platforms and AI models.
Responsibilities
Develop and implement modern, scalable AI-powered applications and systems — from data preprocessing to the integration of AI models.
As part of the team, you will develop cloud-native AI solutions, preferably using platforms such as Azure, AWS, or Google Cloud.
In close collaboration with our software architects, you will contribute your AI expertise and help design powerful, scalable, and well-considered solutions and AI architectures from the outset.
You will document architectures, models, processes, and workflows precisely and transparently — providing a foundation for long-term maintainability and team collaboration.
By creating test cases for AI models and continuously validating them, you will actively contribute to the quality assurance of our AI solutions.
With your technical know-how, you will support our project teams in exciting and complex client projects, particularly in the development and integration of AI solutions.
Independent working with a high standard of quality is natural to you — as is a clear focus on your tasks and a continuous drive to improve models and systems.
Optimize and continuously further develop existing AI models and algorithms to maximize their performance and accuracy.
Integrate and adapt external AI-based interfaces and APIs, such as third-party models or cloud services.
Requirements
Degree in Computer Science, Software Engineering, or a comparable qualification in the field of AI development
Several years of experience in software development (in particular backend development and with modern technologies)
Initial experience in implementing AI solutions and generative AI (e.g., language models from OpenAI, Claude, etc.)
Experience with Python and Node.js is desirable
Knowledge of frameworks such as Langfuse, GraphRAG, and FastAPI is a bonus
Experience integrating AI models into existing systems and developing solution approaches that support business requirements through the use of AI
Architecture, implementation, and integration of LLMs for various application areas
Analysis and evaluation of current approaches in conversational AI (e.g., chatbots, dialogue systems)
Good understanding of the risks involved in developing AI solutions and the ability to identify potential risks and develop mitigation strategies
Enjoy working closely with clients, other developers, and the team
Benefits
The opportunity to work with the latest AI technologies and current developments
A company with short decision-making paths and fast response times, where you have the freedom to contribute your own ideas and leave your personal mark on the design and implementation of projects
Hybrid working model with flexibility between office and remote
Direct impact: your success shapes the company’s growth and direction
Early responsibility and freedom for your own ideas
A collegial, international team with flat hierarchies and an open culture
Continuous training and development opportunities
Modern equipment, flexible working hours, and regular team events
With us you will find a team that supports one another and pursues its goals together. We rely on honest communication, pragmatic solutions, and an environment where work is enjoyable.
Full Stack Engineer building enterprise - level applications for healthcare quality reporting at ICF. Collaborating with engineers using React and Node.js to impact patient care data systems.
Software Engineer II developing machine learning features for CNN, collaborating with cross - functional teams to build innovative digital products and improve user experiences.
Staff Software Engineer at Coinbase defining architecture for fund flow correctness. Leading AI initiatives and cross - functional collaborations with financial services.
Software Engineer developing mobile network solutions for business users. Joining an agile team building the latest communications software technology.
Staff Software Engineer on the AI team creating teleoperation systems for humanoid robots. Collaborating with various teams to build a scalable platform for high - quality data collection.
Research Software Engineer at RTX developing formal methods to enhance security and resilience of large systems. Requires strong software development skills and U.S. citizenship for security clearance.
Senior Software Engineer developing and maintaining web - based JavaScript player for Disney+, Hulu, and ESPN+. Collaborating with teams to deliver a seamless video streaming experience across platforms.
Backend Software Engineer for AI Core team building foundational AI capabilities across Ad Platforms. Implementing backend services, APIs, and integrating LLMs for AI - powered systems.
Software Engineer II overseeing data pipelines and implementing machine learning projects for Disney's media technology. Collaborating with cross - functional teams in enhancing platform performance.
Staff Software Engineer at Medical Home Network integrating AI into software engineering practices. Collaborating with product, design, and DevOps to drive innovation and technical direction.