Job Title

AI EngineerSummaryWe’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.ResponsibilitiesDevelop & 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 & SkillsCore: Python, LLM libraries (Hugging Face, spaCy), ML frameworks (PyTorch, TensorFlow, Scikit-Learn), TDD (pytest), Docker, KubernetesCI/CD Tools: GitHub Actions, Jenkins, Azure DevOpsBonus: Java, React, Observability tools (Datadog, Splunk, Prometheus, Grafana)Hackathon/Open-Source: Participation is a strong plus, demonstrating creativity and a competitive edgeQualificationsExperience: 0–5 years in software development , particularly AI/ML-based projectsSkills: Strong at Coding, Solid foundation in Python; familiarity with AI, ML, and LLM conceptsMindset: Comfortable iterating rapidly, pivoting quickly, and taking ownership in a fast-paced startupTeamwork: Excellent communication skills; self-driven with minimal supervisionWhat We ExpectGreat at Problem-Solving: A “figure it out and make it happen” mindsetAdaptability: Thrive in a lean environment where shifting priorities and quick pivots are commonEagerness to Learn: Stay current with AI/ML trends and keep pushing boundariesLooking 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 ApplySend 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!