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AI Innovator
3 weeks ago
At AutonomOps AI, we are pioneering the development of multi-AI agent systems that revolutionize Ops with LLM-driven capabilities. We're a fast-growing startup that requires a talented engineer to create, deploy, and maintain AI-driven features that tackle real-world Dev Ops and Observability challenges.
Responsibilities- Develop & Maintain AI Agents: Build Python-based LLM applications (Flask/Fast API), harnessing frameworks like Hugging Face, spa Cy, Py Torch, and Tensor Flow.
- Prototype & Integrate ML Models: Quickly experiment with different machine learning models (anomaly detection, random forest, etc.) to find the best fit for each use case.
- Deploy Micro services: Implement containerization using Docker and Kubernetes, deploying on Azure/AWS/GCP with CI/CD pipelines (Jenkins, Git Hub Actions, or Azure Dev Ops).
- Cross-Functional Collaboration: Coordinate with SRE and Dev Ops teams to design solutions that optimize Observability (Datadog, Splunk, Prometheus, Grafana) and performance.
We seek a skilled engineer with experience in software development, particularly AI/ML-based projects. Strong coding skills, a solid foundation in Python, and familiarity with AI, ML, and LLM concepts are essential. A 'figure it out and make it happen' mindset, adaptability, and eagerness to learn are also required.
BenefitsAs an employee at AutonomOps AI, you will have the opportunity to work with a talented team, engage in hackathons or open-source initiatives, and stay current with AI/ML trends. Our company culture values innovation, collaboration, and continuous learning.