---
title: 'Senior Machine Learning Engineer (Bangalore/Noida Location) at Level AI'
canonical: 'https://feeny.ai/job/senior-machine-learning-engineer-bangalore-noida-location-level-ai-noida-7wt8je36f94e'
type: 'job'
last_seen: '2026-09-07'
---

# Senior Machine Learning Engineer (Bangalore/Noida Location) at Level AI

- **Company:** Level AI
- **Location:** Noida, India
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2025-11-03
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.lever.co/levelai/55ba7aee-57ff-440c-91a4-58bcafcd10a8

## Job description

Level AI was founded in 2019 and is a Series C startup headquartered in Mountain View, California. Level AI revolutionizes customer engagement by transforming contact centres into strategic assets. Our AI-native platform leverages advanced technologies such as Large Language Models to extract deep insights from customer interactions. By providing actionable intelligence, Level AI empowers organisations to enhance customer experience and drive growth. Consistently updated with the latest AI innovations, Level AI stands as the most adaptive and forward-thinking solution in the industry.

Empowering contact center stakeholders with real-time insights, our tech facilitates data-driven decision-making for contact centers, enhancing service levels and agent performance. As a vital team member, your work will be cutting-edge technologies, and you will play a high-impact role in shaping the future of AI-driven enterprise applications. You will directly work with people who've worked at Amazon, Facebook, Google, and other technology companies in the world. With Level AI, you will get to have fun, learn new things, and grow along with us. Ready to redefine possibilities? Join us!

Your role at Level AI includes but is not limited to

- Build and deploy LLM-powered agents for internal tools and customer-facing products.

- Design and improve RAG pipelines, prompt engineering workflows, and tool integrations.

- Experiment with open-source/closed-source LLMs.

- Implement and evaluate reasoning, planning, memory, and retrieval modules for AI agents.

- Optimise ML and LLM systems for accuracy, latency, scalability, and cost.

- Build production-ready AI/NLP pipelines with monitoring, evaluation benchmarks, and continual improvement loops.

- Collaborate with product, engineering, and customer-facing teams to ship impactful AI features.

We'll love to explore more about you if you have

- [B.Tech/M.Tech/PhD](http://B.Tech/M.Tech/PhD) in computer science or mathematics-related fields from tier-1 engineering institutes with 3+ years of industry experience in Machine Learning and NLP, or applied AI.

- Strong programming skills in Python.

- Interest and experience with RAG and agentic AI concepts.

- Experience with PyTorch, Hugging Face Transformers, and other similar ML libraries.

- Interest and experience in model training, inference optimisation, and GPUs.

- Experience deploying ML services using REST APIs, Docker, Kubernetes, or cloud platforms.

- Exposure to vector databases such as FAISS, Pinecone, Qdrant, or similar.

To know about us: https://thelevel.ai/ Funding : https://www.crunchbase.com/organization/level-ai LinkedIn: https://www.linkedin.com/company/level-ai/

## About Level AI

## Company Overview
- **One-liner**: Level AI is a customer experience platform that scores every customer interaction, deploys AI voice agents, and turns conversations into actionable insights for enterprise contact centers.
- **Entity Type**: Private (Series C, $74.4M total funding)
- **Headquarters**: Mountain View, California, United States (with an office in New Delhi, India)
- **Founded**: 2018
- **Founders**: Not publicly available

## Core Business
- **Primary industry**: Customer Experience (CX) Platform / AI-Powered Contact Center Software
- **Target customers**: B2B, Enterprise (Fortune 500 healthcare, financial services, and retail environments)
- **Mission or purpose statement**: To help enterprise contact centers automate quality management, assist and coach agents, and understand the voice of the customer at 100% coverage.

## Products & Services
- **Quality Management**: Scores 100% of conversations across channels to standardize quality at scale.
- **AI Virtual Agents**: Deploys AI voice agents for triage to resolution, automating complex workflows.
- **Voice of the Customer**: Extracts insights from every interaction to inform product, operations, and strategy.
- **Assist**: Provides real-time AI or manager help to agents during calls.
- **Analytics 360**: Delivers customer and team intelligence dashboards.
- **Screen Recording**: Monitors agents in real time.

## Market Standing
- **Valuation/Market Cap**: Not disclosed
- **Key Metric**: Annual Revenue of $15M (LinkedIn estimate); Total Funding of $74.4M
- **Notable Investors/Partners**: Battery Ventures (led Series A & B), Eniac Ventures (led Seed), Adams Street Partners (led Series C). Customers include Wayfair, Smartsheet, Chime, Gusto, and SwissRe.
- **Growth Signals**: 162 employees (+8.8% YoY); processes 4 trillion tokens and analyzes 1 billion+ customer interactions per year; serves enterprises with a combined $500B in market cap; LinkedIn followers grew +40.1% in the last year.

## Competitive Advantages
- **Proprietary AI Architecture**: Uses seven task-specific models for customer experience that are up to 49x more cost-efficient, 4x faster, and with accuracy on par with frontier LLMs.
- **Unified Intelligence Layer**: Every function (QA, coaching, automation, analytics) learns from the same customer conversation data, creating a continuous improvement loop.
- **Enterprise-Grade Compliance**: ISO 27001, HIPAA, SOC2, PCI, and GDPR certified.
- **High Product Satisfaction**: 4.8/5.0 product rating (199 reviews).

## Strategic Focus
- **Deepening Enterprise Penetration**: Targeting high-volume, high-stakes customer operations in regulated industries (healthcare, financial services, retail).
- **AI Model Development**: Continuing to build and refine domain-specific models rather than relying on general-purpose LLM wrappers.
- **Global Expansion**: Growing engineering presence in India (Noida, Bangalore) while maintaining US headquarters.

## Why Work Here
- **Impact & Ownership**: Employees take on big projects single-handedly and make a direct impact. The company "ships fast and owns the outcome."
- **Cutting-Edge AI Work**: Engineers work on state-of-the-art NLP, speech, and machine learning problems at scale (4 trillion tokens processed per year).
- **Growth Culture**: Described as "learning and growing…fast," with a focus on hiring exceptional talent.
- **Remote/Hybrid Policy**: Some roles are listed as remote (e.g., Senior Backend Engineer - AI Agents), while others are on-site (Bay Area, California, or Noida/Bangalore, India).
- **Compensation & Culture**: Employer rating of 3.8/5.0 (98 reviews), with work-life balance at 3.5, compensation at 3.6, and culture at 3.5.
- **Open Roles**: Focus on senior engineering positions (ML, NLP, Backend, SRE) and finance.

## Sources
1. [thelevel.ai](https://thelevel.ai)
2. [thelevel.ai/careers](https://thelevel.ai/careers)
3. [thelevel.ai/about-us](https://thelevel.ai/about-us)
4. [linkedin.com/company/level-ai](https://www.linkedin.com/company/level-ai)
5. [jobs.lever.co/levelai](https://jobs.lever.co/levelai)

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