Ai Engineer Intern

## About the role We're building Orqum — an agentic AI Intelligence that plugs into engineering systems (GitHub/Jira/Linear/Slack + prod signals/logs) and proactively detects risk, explains root cause, and coaches teams to ship with quality. If you like systems + AI + real ownership, you'll feel at home here. ## Responsibilities - Take a well-defined problem/spec and ship production-grade code end-to-end - Write clean, efficient, readable Python with solid structure and best practices - Add just-enough tests and sanity checks to keep momentum without slowing down - Ship POCs/features quickly, validate with users, and iterate aggressively ## Requirements - Strong fundamentals: data structures, APIs, distributed systems basics and LLMs/Agentic AI basics - You can work independently, but you're not a lone-wolf: you ask for reviews early, communicate async, take feedback well, and iterate fast - You care about production quality: debugging, instrumentation, alerts, failure modes, and "how will this break?" - You are comfortable with ambiguity ## Tech stack (current + near-term) - Python (Flask/FastAPI), React, MongoDB, PostgreSQL - Kafka, AWS, Kubernetes - Observability: Grafana, Prometheus, Kibana / Coralogix - Work management: JIRA / Linear - GitHub, CI/CD, Postgres/Redis, queues, Sentry/CloudWatch-style signals ## Nice to have - Experience with building LLMs/agents, prompt/tool orchestration, evals, or data pipelines - Experience with event-driven systems (consumers, retries, idempotency, DLQs) ## What we offer - You'll work on the cutting edge of AI + system engineering (real product, real users, real production signals) - You'll get to build core of the product with real user feedback - Mentorship from folks who've built at scale and led engineering orgs - Founders with experience building businesses (and exits) - Remote-first + high ownership: you build it, you ship it, you improve it