AI Developer - Remote Position
About the Role
We are seeking an AI Developer to drive the design and delivery of advanced AI solutions across our organization. This is an individual contributor role focused on impactful technical execution, cross-organizational influence, and hands-on development of enterprise-grade AI products. As an AI Developer remote, you will work alongside AI engineers, data scientists, product managers, and domain experts to build reliable, scalable AI systems and help elevate the organization’s AI literacy and adoption.
What You'll Do
- Design, develop, and maintain efficient, high-quality code following best practices in software engineering.
- Integrate AI models into production systems to ensure seamless operation and scalability.
- Collaborate with cross-functional teams, including product managers, data scientists, and engineers, to deliver AI-driven solutions.
- Conduct research and analysis on retrieval techniques, language models, and generative AI methodologies.
- Implement CI/CD pipelines and automated testing to ensure reliability and accuracy of AI systems.
- Prepare technical documentation, reports, and presentations to communicate methodologies and results.
- Stay current with emerging AI and machine learning technologies and apply them to business challenges.
- Participate in Agile ceremonies and contribute to sprint planning and execution.
Requirements
- Minimum 2 years of experience in software/AI development/engineering.
- Strong programming skills in Python.
- Familiarity with modern technology stacks, including cloud services, data pipelines, and databases.
- Experience with CI/CD and test-driven development.
- Experience building Restful APIs for AI models.
- Understanding of machine learning concepts such as neural networks, optimization algorithms, and evaluation metrics.
- Familiarity with prompt engineering strategies (e.g., instruction design, template-based approaches, fine-tuning).
- Knowledge of Retrieval-Augmented Generation (RAG) techniques.
- Strong analytical, problem-solving, and communication skills.
- Ability to manage multiple projects in a fast-paced environment.
Nice to Have
- Bachelor’s or Master’s degree in a quantitative or technical discipline (e.g., Computer Science, Mathematics, Statistics, Data Science, Physics, Bioinformatics).
- Experience with Docker and AWS cloud.
- Additional programming languages such as Node.js or TypeScript.
- Exposure to Agile methodologies and collaborative development practices.
What We Offer
- Exciting work in a great team, global projects, international environment.
- Opportunity to learn and grow professionally within the company globally.
- Hybrid working model, flexible role pattern.
- Pension and health insurance contributions.
- Internal reward system plus referral program.
- 5 weeks annual leave, 5 sick days, 15 days of certified sick leave paid above statutory requirements annually, 40 paid hours annually for volunteering activities, 12 weeks of parental contribution.
- Cafeteria for tax-free benefits according to your choice (meal vouchers, Lítačka, sport, culture, health, travel, etc.), Multisport Card.
- Vodafone, Raiffeisen Bank, Foodora, and other discount programs.
- Up-to-date laptop and iPhone, company car.
- Parking in the garage for drivers or showers for bikers.
- Competitive salary, incentive pay, and many more.
This AI Developer position offers a unique opportunity to work remotely on cutting-edge AI solutions within a dynamic team. Enjoy competitive compensation and a flexible working environment.
About MSD Czech Republic
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Who Will Succeed Here
Proficiency in Python and experience with AI frameworks like TensorFlow or PyTorch, enabling the development of scalable AI solutions and the implementation of machine learning algorithms.
Strong understanding of Continuous Integration/Continuous Deployment (CI/CD) practices, along with experience in building and managing RESTful APIs for seamless integration of AI solutions into existing infrastructures.
A proactive and autonomous work ethic suitable for remote environments, with a mindset focused on continuous learning and adaptation to emerging AI technologies like Retrieval-Augmented Generation and Prompt Engineering.
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