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Showpad is seeking an AI Engineer to contribute to its AI and machine learning initiatives in Bucharest (hybrid, 2 days in office). You will work closely with cross-functional teams to develop and implement AI technologies that align with business goals, collaborating with experienced engineers to build impactful solutions in a fast-moving space.
You will work with state-of-the-art technologies including LLM models (Llama 3/3.1, Claude), AWS Bedrock, AWS SageMaker, and AWS OpenSearch. Primary programming languages are Python, TypeScript, and Kotlin. The role involves continuous engagement with emerging AI techniques and extensive experimentation with prompt engineering.
Key Responsibilities:
- Design, develop, and maintain AI models to solve complex business problems
- Contribute to projects from scoping through release, under guidance of senior engineers
- Support performance and reliability of AI and machine learning systems
- Collaborate across teams, sharing progress and surfacing blockers early
- Design, craft, and optimize prompts to guide AI systems toward accurate and creative outputs
- Contribute to engineering and product discussions with fresh perspectives
About Showpad:
Showpad recently merged with Bigtincan to create an AI-powered platform for field selling. The combined entity serves 2,000+ customers globally across manufacturing (Dow, DuPont), healthcare (Fujifilm, Kaiser Permanente, Johnson & Johnson), CPG (Smucker's, Mitsubishi, Stanley Black & Decker), and enterprise tech (HID, CultureAmp, LastPass). Recognized as a Leader in the Forrester Wave Revenue Enablement Platforms and Gartner Customers' Choice, with nearly 3,000 five-star reviews on G2.
Requirements:
Must Have:
- Educational background in Computer Science, Machine Learning, AI, or related field, or equivalent hands-on experience
- Experience developing and implementing AI models and algorithms
- Strong knowledge of Python
- Hands-on experience working with LLMs and other Generative AI models
- Experience with AWS or other cloud providers
- Strong problem-solving skills with critical and creative thinking ability
- Good communication and collaboration skills
Nice to Have:
- Experience building retrieval augmented generation (RAG) systems
- Experience with search algorithms
- Experience working in agile teams
- Experience evaluating Generative AI systems
