AI Engineer

Location: Bucharest (hybrid, 2 days in the office)

Position Overview: 

As an AI Engineer at Showpad, you will be at the forefront of driving our AI and machine learning initiatives. You’ll collaborate closely with cross-functional teams to develop and implement cutting-edge AI technologies that align with our business goals and drive innovation.

You’ll work with state-of-the-art technologies such as LLM models like LLama 3/3.1, Claude models, AWS Bedrock, AWS Sagemaker, and AWS OpenSearch.

Our primary languages are Python, Typescript and Kotlin. The AI and Generative AI space is evolving rapidly, and so are we. We continuously update to the newest models, track emerging techniques, and engage in extensive experimentation with prompt engineering to ensure our solutions are at the forefront of technology.

Key Responsibilities: 

• Design, develop, and maintain robust AI models to solve complex business problems.
• Work closely with cross-functional teams to implement and deploy scalable solutions.
• Be part of the end-to-end life-cycle of AI and machine learning solutions.
• Ensure the performance and reliability of AI and machine learning systems.
• Stay up-to-date with the latest AI and machine learning trends and research.
• Design, craft, and optimize prompts that guide our AI systems to generate accurate, informative, and creative outputs.
• Collaborate with the product team to understand customer requirements and deliver solutions that meet these requirements.

Are you our next AI Engineer?

Must haves

• A bachelor's or master's degree in Computer Science, Machine Learning, AI, or related field or similar through experience..
• Experience developing and implementing AI models and algorithms.
• Good knowledge of Python
• Hands-on experience working with LLMs and other Generative AI models
• Experience working with AWS or other cloud providers
• Strong problem-solving skills and the ability to think critically and creatively.
• Excellent communication and collaboration skills.
• A passion for learning and staying updated on the latest in AI and ML technologies.

Nice to haves

• Experience with building retrieval augmented generation (RAG) systems.
• Experience with Search algorithms
• Experience working in an agile team
• Experience with the evaluation of (Generative) AI systems.

Company Highlights: 

Founded in 2011, Showpad is the world’s leading Enablement Operating System (eOS™). We align Sales and Marketing teams around impactful content and measurable engagement, enabling sellers to build unique buying experiences and continuously improve conversion rates. Sellers close more deals – faster – with Showpad.

With dual-headquarters in Ghent and Chicago, regional offices in London, Munich, Bucharest and Wroclaw, and remote hubs across the US and EMEA, Showpad is powered by a diverse global workforce of more than 400 people. Our employee value proposition centers around impact, purpose and belonging. Our culture is based on flexibility, trust and setting people up for success. At Showpad, we foster inclusion, innovate for impact and never stop to raise the bar. We take serious care of our people but never take ourselves too seriously.

What you can expect from Showpad

We welcome every voice and are committed to building a truly inclusive environment where your differences are not just welcomed, they are celebrated. We’re building a best-in-class experience for our employees and are always identifying opportunities to encourage our team to be their authentic selves. Whether that’s paid parental leave, paid holidays (including Juneteenth and paid time off to vote), paid time off to volunteer at non-profit organizations, personal development opportunities or professional stretch assignments, you can expect Showpad to support you. 

We are committed to creating a diverse and inclusive organization and are proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other dimensions of identity.