Senior Software Engineer, Generative AI

Summary

Join Elastic's Security Generative AI team and revolutionize security operations workflows. You will write, test, and maintain high-quality TypeScript code, collaborate with cross-functional teams on AI-powered workflows, and work closely with product and design teams. Responsibilities include contributing to the Kibana codebase, assisting customers, and leveraging your expertise in LLM and RAG applications. The role requires extensive software development experience, proficiency in TypeScript, React, Node.js, and a strong understanding of machine learning concepts. The team is distributed globally, requiring the ability to work remotely and collaboratively.

Requirements

• Extensive experience developing reasonably complex, high-quality software over multiple years and maintaining it in production environments. Experience with large-scale systems is a plus
• Experience with Typescript, React, and Node.js
• Proven track record of writing robust unit, integration, and E2E tests
• Familiarity with developing LLM and Retrieval Augmented Generation (RAG) applications
• Ability to translate prompt engineering techniques into code
• Deep familiarity with the LangChain framework and its related concepts (i.e., chains, agents, and tools)
• Familiarity with LLM application evaluation tools such as LangSmith
• Strong understanding of machine learning concepts and generative AI models (i.e., GPT, Gemini, Mistral, Claude, etc.)
• Exceptional problem-solving skills and the ability to think creatively to solve challenging problems with AI technologies
• Ability to work in a distributed team throughout the world

Responsibilities

• Write, test and maintain high-quality, client-side and server-side TypeScript code
• Collaborate with cross-functional teams to build new AI-powered workflows and integrate AI functionality into existing Security Solution features
• Work closely with the product and design teams to define requirements and craft intuitive user workflows powered by generative AI that address security analytics use cases
• Work on open-source, contribute to the Kibana codebase and issues, connect with the Elastic community via GitHub, Slack, and discussion forums
• Work with our support team to help customers answer questions and resolve issues

Preferred Qualifications

Experience with Elasticsearch

Benefits

• Competitive pay based on the work you do here and not your previous salary
• Health coverage for you and your family in many locations
• Ability to craft your calendar with flexible locations and schedules for many roles
• Generous number of vacation days each year
• Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
• Up to 40 hours each year to use toward volunteer projects you love
• Embracing parenthood with minimum of 16 weeks of parental leave