AI Engineer
3 weeks ago
Summary
We’re a fast-growing startup building multi-AI agent systems that revolutionize Ops with LLM-driven capabilities. We need a 10x Engineer proficient in Python, LLM tech-stack, and micro services who thrive on rapid innovation. The role involves creating, deploying, and maintaining AI-driven features that tackle real-world DevOps and Observability challenges, ensuring high code quality through test-driven development. Hackathon enthusiasm and open-source contributions are strongly valued.
Responsibilities
Develop & Maintain AI Agents : Build Python-based LLM applications (Flask/FastAPI), harnessing frameworks like Hugging Face, spaCy, PyTorch, and TensorFlow.
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, GitHub Actions, or Azure DevOps).
Cross-Functional Collaboration : Coordinate with SRE and DevOps teams to design solutions that optimize Observability (Datadog, Splunk, Prometheus, Grafana) and performance.
Hackathon & Open-Source : Engage in hackathons or open-source initiatives, applying creativity to rapidly prototype and refine features.
Tech Stack & Skills
Core : Python, LLM libraries (Hugging Face, spaCy), ML frameworks (PyTorch, TensorFlow, Scikit-Learn), TDD (pytest), Docker, Kubernetes
CI/CD Tools : GitHub Actions, Jenkins, Azure DevOps
Bonus : Java, React, Observability tools (Datadog, Splunk, Prometheus, Grafana)
Hackathon/Open-Source : Participation is a strong plus, demonstrating creativity and a competitive edge
Qualifications
Experience : 0–5 years in software development , particularly AI/ML-based projects
Skills : Strong at Coding, Solid foundation in Python; familiarity with AI, ML, and LLM concepts
Mindset : Comfortable iterating rapidly, pivoting quickly, and taking ownership in a fast-paced startup
Teamwork : Excellent communication skills; self-driven with minimal supervision
What We Expect
Great at Problem-Solving : A “figure it out and make it happen” mindset
Adaptability : Thrive in a lean environment where shifting priorities and quick pivots are common
Eagerness to Learn : Stay current with AI/ML trends and keep pushing boundaries
Looking to Differentiate Yourself?
Peek at our LinkedIn posts - Latest Product Launch ( and Industry Feature ( to see how we’re pioneering multi-AI agent solutions for Observability. We regularly post about AI breakthroughs, DevOps insights, and new feature demos - so follow us on LinkedIn if you want the inside track. This is the best way to differentiate yourself and perform strongly in the interview, because it’ll give you a deeper grasp of our product and company vision.
How to Apply
Send your resume or portfolio, highlighting innovations / hackathons experience, GitHub & open-source contributions, or notable AI/ML projects. We’re excited to see what you can do
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