It's fun to work in a company where people truly BELIEVE in what they are doing!
We're committed to bringing passion and customer focus to the business.
Must have sills:
10-14 years of experience in working on ML projects that includes product ideation, business requirement gathering, development, deployment at scale and monitoring model performance for production. Must have strong hands on knowledge of AI Engineering
- Product thinking that includes ideation, prototyping, and scale internal accelerators for LLMOps
- Architect and build scalable LLMOps platforms for enterprise-grade GenAI systems
- Design and manage end-to-end LLM pipelines from data ingestion and embedding to evaluation and inference
- Drive LLM-specific infrastructure: memory management, token control, prompt chaining, and context optimization
- Lead scalable deployment frameworks for LLMs using Kubernetes and GPU-aware scaling
- Build agentic AI operations capabilities including agent evaluation, observability, orchestration and reflection loops
- Guardrails & Observability: Implement output filtering, context-aware routing, evaluation harnesses, metrics logging, and incident response
- Platform Automation for LLMOps: Drive end-to-end automation with Docker, Kubernetes, GitOps, DevOps, Terraform, etc.
If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!
Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!
