AI Engineer Intern

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.

What you’ll do:

• 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.

What we’re looking for

• 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-haves

• Experience with building LLMs/agents, prompt/tool orchestration, evals, or data pipelines.
• Experience with event-driven systems (consumers, retries, idempotency, DLQs).

Why join

• 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.