Agentic AI Engineer Intern

Job Category: Software Engineering Job Type: Full Time Job Location: Nepal About The Role We’re looking for a motivated Agentic AI Engineer Intern to join our Z1Agent team. This is a great opportunity to learn how production Agentic AI applications are designed, built, and run. What is Z1Agent? Z1Agent is an open-source, autonomous AI-driven K8s incident-resolution and root-cause analysis engine combining L1 cluster triage, L2 telemetry reconstruction/correlation, and L3 deep OS level diagnostics through a pluggable agent/tool architecture. It uses LLM reasoning, agentic workflows, and causal analysis to diagnose failures and generate verified remediation actions. It also implements a continuous ML lifecycle: production telemetry and incident data are curated into training/evaluation datasets, models are fine-tuned and benchmarked, and validated weights are automatically deployed, creating a closed-loop MLOps pipeline for continuously improving diagnosis and remediation. Responsibilities Develop and maintain backend services and REST APIs using Python3Implement CRUD operations and integrate them with relational and NoSQL databasesAssist in building and integrating AI/ML features (e.g., model inference APIs, LLM-based workflows)Write clean, testable, well-documented codeContainerize applications using DockerHelp deploy and manage services on Kubernetes clustersDebug issues, monitor services, and troubleshoot performance problemsCollaborate with engineers in code reviews, stand-ups, and sprint planning Required Skills Python 3: Strong fundamentals (data structures, OOP, error handling, virtual environments)AI basics: Understanding of core AI/ML concepts, and familiarity with libraries or tools such as scikit-learn, PyTorch, TensorFlow, or LLM APIsREST APIs: Knowledge of HTTP methods, status codes, authentication, and API design; experience with FastAPI, Flask, or DjangoCRUD operations: Hands-on experience building Create, Read, Update, Delete functionality end to endDatabases: Understanding of how databases work, including: – SQL (PostgreSQL / MySQL): joins, indexing, normalization, transactions – NoSQL (MongoDB / Redis): when and why to use them – Basic query optimization and schema designDocker: Ability to write Dockerfiles, build images, and run containersKubernetes: Working knowledge of pods, deployments, services, and configuration (ConfigMaps/Secrets)Git: Comfortable with version control and pull-request workflows Good to Have Experience with cloud platforms (AWS, GCP, or Azure)CI/CD basics (GitHub Actions, GitLab CI, Jenkins)Familiarity with Linux and command-line toolsKnowledge of message queues (Kafka, RabbitMQ)Exposure to vector databases and RAG pipelinesBasic understanding of monitoring tools (Prometheus, Grafana)Personal projects, open-source contributions, or a GitHub portfolio Qualifications Currently pursuing or recently completed a Bachelor’s/Master’s in Computer Science, IT, or a related fieldStrong problem-solving skills and eagerness to learnGood communication and teamwork skills What You’ll Gain Hands-on experience with production-grade AI and backend systemsMentorship from experienced engineersExposure to modern DevOps and cloud-native practicesOpportunity for a full-time offer based on performanceInternship certificate and letter of recommendation