AI Engineer focused on developing agentic AI systems for professional slide creation at a growing startup. Responsibilities include building workflows and collaborating with product and engineering teams.
About the role
- Software Engineer developing AI/GenAI capabilities for unstructured data. Transforming data into actionable insights and autonomous AI systems for business decisions.
Responsibilities
- Help transform massive volumes of documents, voice recordings, images, and video into actionable intelligence
- Design and build AI-driven systems that combine large-scale data engineering, machine learning, and generative AI to power next-generation enterprise capabilities
Requirements
- Python (required) for AI/ML development
- Java, with hands-on experience building backend services and enterprise integrations
- Ability to work across both Python and Java codebases, integrating AI/ML components into Java-based enterprise systems
- Proven experience building and operating production-grade AI/ML systems
- Strong understanding of data pipelines and distributed data processing
- Hands-on experience in one or more of the following areas: Large Language Models (LLMs), Retrieval Augmented Generation (RAG), Vector Search & Embeddings, Multimodal AI, AI Agents/Agent Frameworks, Prompt Engineering, Semantic Models
- Experience working in large-scale enterprise data environments, including Architecture, Data lakes, and lakehouse architectures, Streaming Kafka, and event-driven architectures
- Experience with MLOps workflows
- Experience with observability tools such as Datadog and AWS CloudWatch
Benefits
- Work on petabyte-scale unstructured data challenges
- Build with the latest GenAI and Agentic AI technologies
- Transform unstructured data into enterprise intelligence
- Join a team shaping the future of AI-powered decision making
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