AI Engineer Intern
Senitac
About the role
Stipend: ₹40,000+/month (based on experience and scope)
Start: ASAP
About:
Senitac is building Safe Autonomous Organisations - AI systems that don’t just assist work, but complete it end-to-end with strong controls. We’re starting with the finance team because it’s one of the highest-leverage and most failure-intolerant operational domains.
We’re looking for cracked systems engineers who can build reliable software in the real world: messy inputs, edge cases, integrations, auditability, and safety.
Role Summary:
You’ll work directly with the founders to ship production-grade agentic systems: designing workflows, building full-stack product surfaces, and engineering the guardrails that make autonomy trustworthy.
Responsibilities: • Build and ship features across frontend, backend, and data (end-to-end ownership) • Design and implement reliable agent workflows (tool use, state, retries, failure handling) • Create clear observability : logs, traces, audit trails, and evaluation harnesses • Work on integrations and automation pipelines (APIs, webhooks, queues where needed) • Write clean, maintainable code and concise documentation • Demo progress regularly and iterate quickly based on feedback
What we are looking for: • Strong fundamentals in software engineering and systems thinking • Full-stack comfort (typical: React/Next.js + Python/Node + SQL/Postgres ) • Hands-on experience building with LLMs / agents (structured outputs, tool calling, eval) • Ownership mindset: you move from ambiguity → plan → shipped output • Clear communication and ability to defend technical decisions
Nice to have: • Experience with workflow automation, distributed systems, or event-driven architectures • Familiarity with finance ops / compliance concepts (helpful, not required) • Experience shipping products used by real users (even small scale)
Hiring process:
We hire via a short case competition:
“AI Accounts Payable Employee - Hiring Challenge” • Round 1: Design submission + code • Round 2: Live review + authorship verification + technical discussion • Top performers are fast-tracked to internship offers (and may receive immediate paid project offers).
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