Principal Software Engineer — Backend & Infrastructure

India·NoidaFull Timelead

EngineeringBackend Developer

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Quick Summary

Overview

About Level AI Level AI is a Series C conversational intelligence company headquartered in Mountain View, CA, backed by top-tier VCs and Silicon Valley operators.

Technical Tools

EngineeringBackend Developer

Level AI is a Series C conversational intelligence company headquartered in Mountain View, CA, backed by top-tier VCs and Silicon Valley operators. We help enterprise contact centers understand every customer conversation — using speech AI, NLP/NLU, and retrieval systems to turn millions of unstructured interactions into decisions businesses can act on.

We're at the scaling inflection point. The systems that carried us from Series A to Series C won't carry us to the next stage, and we need someone to own that transition — not just build inside it.

This is a Principal role: you'll set technical direction for backend and ML infrastructure across multiple teams, make the architectural calls that are expensive to reverse, and raise the engineering bar through design reviews, mentorship, and the standards you set by example. You'll report to the VP of Engineering and partner directly with our ML, Product, and Infrastructure leads across both sites.

You'll work alongside engineers from Amazon, Google, and Meta who chose to build here because the problems are unsolved and the ownership is real.

Requirements

~1 min read

Proven ability to navigate large, complex codebases and reason clearly about architectural tradeoffs in systems you didn't build.

Experience mentoring senior engineers and driving technical decisions through influence rather than authority.

Strong written communication — you'll be making technical cases to engineers in two time zones and business cases to executives.

BTech/MTech/PhD in Computer Science or equivalent. At this level we weight track record well above pedigree.

Production experience with our stack: Django, Celery, Redis, PostgreSQL, and Google Cloud.

Hands-on experience scaling GPU infrastructure and model inference in production — capacity planning, scheduling and utilization, autoscaling, and latency/cost optimization under real traffic.

Depth in specific inference tooling — vLLM, TensorRT, Triton, Ray Serve, or equivalents — and experience benchmarking tradeoffs between them.

Experience scaling a platform through a comparable growth stage (Series C → D, or equivalent), especially at a global product company's India site.

Background in speech, NLP, or information retrieval systems.

Real ownership over systems used by enterprises worldwide, with the autonomy to decide how they're built.

[4] stages, typically [2] weeks end to end: recruiter screen → technical deep dive → system design → team and leadership conversations → offer. Interviews are conducted from our India team with [one/two] conversations with US-based leadership. We'll tell you where you stand at every step.

Level AI is an equal opportunity employer. We hire and promote on merit and evaluate all applicants without regard to caste, religion, sex, gender identity, sexual orientation, marital or parental status, disability, or any other personal characteristic unrelated to the job. We maintain a zero-tolerance policy on harassment in line with the POSH Act, 2013. If you need any accommodation during the interview process, tell us — we'll arrange it.