--- title: 'Lead Software Engineer - AI Agents at Level AI' canonical: 'https://feeny.ai/job/lead-software-engineer-ai-agents-level-ai-noida-7dnbj01ncfx5' type: 'job' last_seen: '2026-09-12' --- # Lead Software Engineer - AI Agents at Level AI - **Company:** Level AI - **Location:** Noida, India - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2024-08-10 - **Last confirmed live:** 2026-09-12 - **Apply:** https://jobs.lever.co/levelai/30eaa8f7-fb66-4ed4-9ac8-e2f343a84ad3 ## Job description ## About Level AI Level AI is on a mission to turn every customer interaction into a strategic advantage. Our AI-native platform helps enterprises transform contact centers from cost centers into engines of customer intelligence, operational efficiency, and business growth. By combining advanced AI with deep domain understanding of customer experience, Level AI empowers teams to unlock actionable insights, automate workflows, and deliver more consistent, higher-quality support across the customer journey. Headquartered in Mountain View, California, Level AI is a Series C company backed by leading investors including Battery Ventures and ENIAC. Our platform leverages Large Language Models and Custom Small Language Models (SLMs) to power AI Agents across the entire CX journey—customer-facing agents, agent-assist, and backend automation—along with deep conversation analytics for QA, coaching, and insights. With a fast-growing team in India, we are building a strong engineering presence in Noida to drive innovation across our platform. ## About the role As a Lead Engineer – AI Agents, you will play a critical role in building the scalable backend systems that power Level AI’s next-generation AI Agents. These systems operate in real-time, high-volume enterprise environments and are central to delivering intelligent, production-grade AI experiences. This role is based in Noida (Delhi NCR) with a hybrid work model (2–3 days/week in office). You will work at the intersection of distributed systems, cloud infrastructure, and AI-powered applications—bringing agentic AI capabilities into production at scale. ## Responsibilities - - Design and build scalable backend systems powering AI Agents that operate in real-time enterprise environments - Develop agent orchestration frameworks (multi-step reasoning, tool usage, decisioning workflows) - Build systems for agent memory, context management, and state persistence across interactions - Architect low-latency inference pipelines integrating LLMs, SLMs, and external tools/services - Implement evaluation (evals) frameworks to measure agent performance, accuracy, and reliability - Enable continuous improvement loops (feedback → retraining → deployment) for AI agents in production - Design and manage event-driven, asynchronous workflows for complex agent tasks - Optimize systems for high throughput, low latency, and cost-efficient inference at scale - Build and maintain robust APIs and service layers (REST / gRPC) for agent capabilities - Partner closely with Applied AI / ML teams to productionize models and agent behaviors - Collaborate with Product and Solutions teams to translate real customer workflows into agentic systems - Drive best practices in observability, monitoring, safety, and guardrails for AI systems - Contribute to architecture decisions for scaling multi-tenant, enterprise-grade AI platforms Requirement - - 5+ years of experience in backend engineering, distributed systems, or platform engineering - Strong experience building high-scale, production-grade backend systems - Experience designing systems for real-time processing, streaming, or event-driven architectures - Strong understanding of API design (REST, gRPC) and microservices architectures - Experience with databases (SQL + NoSQL) and data modeling for high-scale systems - Hands-on experience with Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure) - Strong fundamentals in system design, concurrency, and performance optimization Strong Plus (Agent / AI focus): - Experience working with LLMs, conversational AI, or AI-powered products in production - Familiarity with agent frameworks, tool calling, or multi-step reasoning systems - Experience building or integrating RAG pipelines, vector databases, or retrieval systems - Exposure to evaluation systems (offline/online evals, A/B testing for AI systems) - Understanding of prompting strategies, context windows, and model behavior optimization Experience with real-time decisioning systems or workflow orchestration engines ## Perks & Benefits Competitive compensation with performance-based upside Flexible vacation policy Health insurance coverage Work with a globally distributed, high-impact team Opportunity to build cutting-edge AI products at scale Regular team offsites and in-person collaboration To learn more visit : https://thelevel.ai/ Funding : https://www.crunchbase.com/organization/level-ai LinkedIn : https://www.linkedin.com/company/level-ai/ Our AI platform : https://www.youtube.com/watch?v=g06q2V_kb-s ## 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) ## Other roles at Level AI - [Principal Software Engineer — Backend & Infrastructure - Noida / Bengaluru](https://feeny.ai/job/principal-software-engineer-backend-infrastructure-noida-bengaluru-level-ai-7htvh3ph2tw6) — Noida, India - [Revops Lead](https://feeny.ai/job/revops-lead-level-ai-india-aej0ahzeff69) — India - [EA and Operations Specialist - Bay Area](https://feeny.ai/job/ea-and-operations-specialist-bay-area-level-ai-bay-area-sdnap76cqwhv) — Bay Area, CA - [Revenue Operations Architect — GTM Systems Builder](https://feeny.ai/job/revenue-operations-architect-gtm-systems-builder-level-ai-united-states-6fxaryw3m2qz) — United States - [Senior Full Stack Engineer (Noida, BLR, India)](https://feeny.ai/job/senior-full-stack-engineer-noida-blr-india-level-ai-noida-s90y6epzgz8v) — Noida, India - [Forward Deployed Engineer - Agents(Remote)](https://feeny.ai/job/forward-deployed-engineer-agents-remote-level-ai-india-vrsxa71k4jq7) — India - [Senior Backend Engineer - Customer Engineering](https://feeny.ai/job/senior-backend-engineer-customer-engineering-level-ai-noida-grtp76d81w6w) — Noida, India - [Senior Machine Learning Engineer (Bangalore/Noida Location)](https://feeny.ai/job/senior-machine-learning-engineer-bangalore-noida-location-level-ai-noida-7wt8je36f94e) — Noida, India - [SDET (Noida, India)](https://feeny.ai/job/sdet-noida-india-level-ai-noida-p1wg9s0jbnsg) — Noida, India - [Senior Backend Engineer - Analytics, Noida](https://feeny.ai/job/senior-backend-engineer-analytics-noida-level-ai-noida-x5wprabhjwy4) — Noida, India