Agentic Ops Lead

Set architectural direction for agentic systems

Identify and fix reliability and scalability gaps

Design a structured and configurable evaluation engine with precision

Combine deterministic checks with LLM-as-judge verdicts

Provide on-site IT support and handle day-to-day IT requests in SF office.

Analyze recurring incidents and identify root causes for systemic improvements.

Interact with public sector customers effectively

Collaborate to improve product features

Automate risk workflows using Go and AI tools.

Prototype and turn experiments into production.

Design, build, and maintain ML backend services

Integrate ML models via APIs for production reliability

Lead engineering team for AI-powered solutions

Transform engineering practices with AI

Develop intelligent, agentic AI systems using cutting-edge technologies

Collaborate with AI leads, backend engineers, data engineers, and product managers

Develop intelligent multi-agent AI systems

Leverage LLMs and RAG for advanced NLP tasks

Design and scale backend APIs and services

Integrate large language model (LLM) capabilities

Design and maintain scalable backend systems

Build and optimize AI-driven analytics frameworks

Rapid prototyping and deployment of AI features

Building scalable applications using modern cloud stacks

Develop scalable backend APIs and AI agents

Implement advanced AI-native workflows

Develop Large Language Model solutions on customer data

Build, scale, and optimize customer data science workloads