AI Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Create and develop autonomous AI agents that evaluate infrastructure in real-time and make informed decisions.

• Design multi-agent systems for troubleshooting, optimization, FinOps, and various practical applications.

• Safely implement LLM capabilities such as tool usage, memory management, and retrieval in a production environment.

• Develop MCPs that provide ScaleOps functionalities to AI agents.

• Establish integrations with platforms like Slack, Jira, Cursor, Windsurf, and other AI-enhanced IDEs.

• Construct and deploy machine learning models for detecting infrastructure policies, forecasting scaling needs, and recommending GPU configurations.

• Manage the entire ML pipeline from the training phase to production deployment.

• Create internal AI tools to support engineering, development, research, and customer support.

• Develop AI-driven tools for Sales and Support teams, including reports on infrastructure analysis and cost optimization.

• Oversee AI systems from initial concept to production, focusing on achieving sub-2-second response times, reliability, safety, and cost-effectiveness.

• Establish evaluation frameworks and enforce security measures.

• Define the AI architecture and best practices as a key member of the AI team.

• Make informed technical decisions regarding frameworks, multi-agent systems, and data governance.

⛳️ Requirements

• Extensive software engineering experience, typically 4+ years.

• Proficient in Python with a solid foundation in backend engineering principles.

• Demonstrated experience in building and managing production systems within cloud environments.

• Practical knowledge of deploying LLM-based systems in production, addressing latency, cost management, and potential failure scenarios.

• Familiarity with agentic frameworks like LangChain and MetaGPT.

• Understanding of evaluation frameworks.

• Strong sense of ownership and the ability to work independently while collaborating effectively across teams.

• Experience with structured or operational data, such as configurations, logs, and metrics.

• Familiarity with retrieval systems (RAG) or vector databases is a plus.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Flexible work hours and remote work options.

• Opportunities for professional development and continuous learning.

• Supportive and collaborative work environment.