Salary
≈ $8.5k – $22k per year (Estimated)
Location
In office (Hyderabad)
Seniority
Junior · 1+ year exp
First seen by Alion on Sep 11, 2026.
Overview
Company
Impact
Profile match
Auditoria.AI is a software company that combines robotic process automation with artificial intelligence to improve efficiency and reduce costs in the finance, accounting and audit functions of enterprises. Its engineering team hires software development engineers, AI engineers and DevOps engineers in India. The company is headquartered in Santa Clara, United States.
Backed by Dell Technologies Capital
Responsibilities:
- A real feature inside the assistant, shipped to real users. You'll have design help, but the feature will be yours.
- Getting it into production on our weekly deploy cadence, in front of people using it in their own language on a real network.
- The instrumentation that tells you whether it worked and a clear answer when somebody asks how it is doing.
- Real user data, handled with the care an identity company demands.
- We're AI-first in how we build. Even at this level, we expect you to design the workflow rather than simply run the tool.
- You build workflows and skills that your teammates reuse, so a good result becomes repeatable.
- You treat context as a budget you spend deliberately, and you can explain what you put in front of a model and what you deliberately left out.
- You're curious about taking on work that used to be too large for one person, and you understand that what makes such a change safe is the verification you build first, not the speed of the generation.
- You keep up with what has recently become possible, and you form your own view.
Requirements:
- Around 1-3 years of building software. We care about what you've actually built.
- Something you took from nothing to real users. That it existed and somebody used it matters far more than whether it succeeded.
- Strong fundamentals in code, data structures, and debugging.
- The habit of finishing. We're looking for the ones who took it all the way to somebody using it.
- Taste, and the honesty that goes with it. You should notice when something feels wrong and say so, even when it is your own work.
- Our stack: Python (core services), Rust (latency-critical media path), AI harness (agent loop, tools, prompts, evals), voice streaming (persistent websocket sessions), model providers (speech and language), AWS, Postgres, Redis, and Kotlin/Swift (apps). You don't need to have used any of it; how you think matters most.
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