Senior/Staff Software Engineer - GenAI Incubation
Ironclad- Full Time
- Mid-level (3 to 4 years), Senior (5 to 8 years)
Candidates must possess a Bachelor's degree in Computer Science or Electrical Engineering, along with a minimum of six years of industry experience. They should demonstrate the ability to solve problems from first principles, maintain focus on overarching objectives, and have prior experience contributing to products that have achieved significant user traction or scaled to a large user base. Furthermore, candidates are required to have experience as an AI/ML Engineer, familiarity with ML Ops, and proficiency in Typescript/JavaScript with either Node or React.
The Software Engineer will collaborate with product engineering teams to prototype and experiment with new AI features, working across backend, frontend, and interacting with LLMs and/or other ML models. They will be responsible for productionizing, launching, and operating AI-based technology integrations into Cribl’s core products, ultimately aiming to solve real customer problems. Additionally, the role involves staying current with the latest AI technologies and trends, and working closely with fine-tuning models, prompt engineering, and inference platforms, potentially requiring stand-by, on-call, or off-hours duties.
Data observability solutions for tech businesses
Cribl operates in the data observability market, helping tech businesses monitor, analyze, and visualize their data for better operational and security insights. The company offers two main products: Cribl Stream and Cribl Edge. Cribl Stream enables businesses to efficiently route and transform logs and metrics, either on their own infrastructure or through cloud services, ensuring timely data delivery. Cribl Edge focuses on collecting and processing real-time observability data from edge devices, which can then be sent to Cribl Stream or other destinations. Cribl distinguishes itself by integrating seamlessly with platforms like Office 365 and Microsoft Azure, allowing clients to enhance their data management capabilities. The company's goal is to create effective data ecosystems that empower organizations to make sense of their data.