Ai Engineer
5 days ago
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 Dev Ops 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/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.
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, spa Cy), ML frameworks (Py Torch, Tensor Flow, Scikit-Learn), TDD (pytest), Docker, Kubernetes CI/CD Tools : Git Hub Actions, Jenkins, Azure Dev Ops 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 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, Dev Ops insights, and new feature demos - so follow us on 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, Git Hub & open-source contributions, or notable AI/ML projects.
We're excited to see what you can do
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