Sr Software Engineer, Cribl AI

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Software Engineer, Cribl AI in United States.

This role sits at the forefront of building next-generation AI-powered observability and telemetry solutions. You will help shape how search, analytics, and insights are delivered across massive-scale data environments used by leading global enterprises. Working in a remote-first, highly collaborative engineering culture, you will partner closely with product, design, and engineering peers to bring cutting-edge Generative AI capabilities into production. The role blends backend, frontend, and AI engineering, with a strong focus on LLM integration and real-world customer impact. You will contribute directly to defining how AI is embedded into core platform experiences. This is a high-impact opportunity to influence both technical architecture and end-user experience in a rapidly evolving AI infrastructure space.

Accountabilities:

• Work with product and engineering teams to prototype, design, and experiment with new AI-driven features across observability and analytics workflows
• Build and integrate backend and frontend components while working directly with LLMs, ML models, and AI services to deliver production-ready features
• Productionize and maintain AI-powered capabilities within core platform systems, ensuring scalability, reliability, and customer value
• Apply prompt engineering, model fine-tuning, and inference optimization techniques to improve AI performance and usability
• Stay current with emerging AI, LLM, and machine learning trends and translate them into practical product improvements
• Participate in on-call rotations and support production systems as needed to ensure high availability and performance
• Collaborate cross-functionally with product, design, and engineering stakeholders to align technical solutions with business needs

Requirements:

• 6+ years of software engineering experience with a Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience
• Proven experience as an AI/ML Engineer or in building AI-enabled production systems at scale
• Strong full-stack engineering skills, including experience with TypeScript/JavaScript and Node.js or React
• Hands-on experience with machine learning workflows and MLOps practices in production environments
• Experience working with LLMs, prompt engineering, or AI model integration is highly desirable
• Ability to debug and solve complex technical problems across backend, frontend, and ML systems
• Strong product intuition and experience contributing to systems with meaningful user adoption or scale
• Comfortable working in fast-moving environments with ambiguous requirements and evolving priorities
• Strong collaboration and communication skills across technical and non-technical teams

Benefits:

• Competitive salary package ($200,000 – $250,000 USD based on experience and location)
• Equity and potential discretionary company bonus
• Comprehensive medical, dental, and vision insurance
• Flexible PTO and paid holidays
• 401(k) retirement plan
• Life, AD&D, short-term and long-term disability insurance
• Fertility treatment benefits and employee assistance programs
• Remote-first work culture with global collaboration flexibility
• Home office, internet, and co-working stipends
• Opportunities for growth in a fast-scaling AI-native engineering environment

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1