Level AI

Design and build scalable backend systems powering AI Agents in real-time enterprise environments. | 5+ years backend engineering experience, strong system design, API and microservices expertise, cloud platform knowledge, and familiarity with AI/ML systems. | 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. About the role As a Senior 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. You will work at the intersection of distributed systems, cloud infrastructure, and AI-powered applications—bringing agentic AI capabilities into production at scale. What you’ll get to do at Level AI (and more as we grow together): • 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 behaviours. • 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 We'll love to explore more about you if you have: • 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 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Design and build scalable backend systems powering AI Agents in real-time enterprise environments. | 5+ years backend engineering experience, strong system design and API skills, experience with cloud and distributed systems, preferably AI-related. | 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. About the role As a Senior 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. You will work at the intersection of distributed systems, cloud infrastructure, and AI-powered applications—bringing agentic AI capabilities into production at scale. \n What you’ll get to do at Level AI (and more as we grow together): • 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 behaviours. • 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 We'll love to explore more about you if you have: • 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 \n 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

Design and build scalable backend systems and orchestration frameworks to power real-time AI agents in enterprise environments. | Requires 5+ years backend engineering experience with distributed systems, API design, cloud platforms, and preferred AI agent and LLM knowledge. | 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. About the role As a Senior 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. You will work at the intersection of distributed systems, cloud infrastructure, and AI-powered applications—bringing agentic AI capabilities into production at scale. \n What you’ll get to do at Level AI (and more as we grow together): 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 behaviours. 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 We'll love to explore more about you if you have: 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 \n 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

Lead full sales cycle for Virtual Agent solutions including outbounding, pilot design, negotiation, and multi-year partnership expansion. | 7+ years enterprise new-logo sales with complex deal experience, Conversational AI and Virtual Assistant sales expertise, CX platform knowledge, strong hunter mentality, pilot/POC execution, and excellent executive communication. | About Level AI - Level AI helps enterprises deliver modern customer experiences with AI-combining real-time assistance, automation, and deep QA/insights to reduce handle time, elevate CSAT, and drive durable ROI. We partner closely with customers to ship outcomes, not just features.We operate with a bias for action, customer impact, and team ownership. The Role - We're hiring an Enterprise AE to lead our Virtual Agent go-to-market. You'll run complex, multi-stakeholder sales cycles end-to-end, shape our sales motion, and partner with Product and Solutions Engineering to design high-signal pilots that prove business value fast. This is a high-impact role for a self-starter who thrives in early, fast-moving environments. What you'll do - • Own the full cycle from targeted outbound and qualification through evaluation, business case, negotiation, and close; expand wins into multi-year partnerships and renewals. • Generate pipeline from an ICP list via value-driven outbounding (executive messaging, customer stories, POVs), events, and partner co-sell (e.g., CCaaS/CRM).x`Prove a repeatable demand motion and initial win model (ICP, buyer map, messaging). • Design and run POCs/pilots for Virtual Agent: scope use cases, success criteria, guardrails; align on KPIs (containment, AHT, CSAT) with clear executive outcomes. • Sell to the C-suite and functional leaders (CX/Support, Digital, Operations, IT/Security, Procurement); orchestrate multi-threaded deals and consensus. • Partner cross-functionally with Solutions Engineering, Product, and Marketing to remove friction, tighten messaging, and bring voice-of-customer back to the roadmap. • Use executive leverage (internal and partner leadership) to accelerate cycles and secure top-level sponsorship. • Forecast with rigor in Salesforce; maintain clean stages, MEDDICC/MEDDPICC notes, next steps, and mutual close plans. • Shape our motion-from messaging and pricing inputs to enablement materials-so the team scales on a single, clear narrative. What you'll bring : • 7+ years in enterprise new-logo sales with a track record of closing complex 6-7 figure deals and meeting/exceeding annual quotas. • Experience selling Conversational AI and Virtual Assistant solutions across both voice and digital channels into mid-market and enterprise accounts • Experience selling CX platforms, including CCaaS and CRM solutions, into mid-market and enterprise accounts • Strong understanding of broader AI trends and Virtual Assistant concepts, including Retrieval-Augmented Generation (RAG), intent recognition, natural language orchestration, dialogue management, and agentic reasoning • Strong hunter mentality with demonstrated success creating your own pipeline (targeted outbound, executive networking, partners) and driving multi-threaded evaluations. • Comfort running structured pilots/POCs with measurable outcomes and tight project management. • Excellent executive communication-clear business cases, strong written decks/emails, and confident live storytelling. • High ownership and speed; you operate well with ambiguity and ship.Ability to travel up to 40% of time Nice to have • Early-stage startup experience as an early sales hire. • Familiarity with ecosystems like Five9, Genesys, NICE, Amazon Connect, Salesforce, ServiceNow, Zendesk. • Knowledge of buyer metrics (containment, AHT, FCR, CSAT) and contact-center ops. • Experience selling at an AI native company Benefits & supportCompetitive compensation with meaningful equity. • Health, dental, and vision coverage. • Flexible PTO and company holidays. • Tools, enablement, and executive access to help you win. Equal Opportunity - Level AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.