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Level Ai Jobs (NOW HIRING)

Level AI

Enterprise Account Executive (US, Remote)

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 centers into strategic assets.

Level AI

Revenue Operations Architect - GTM Systems Builder

$70.75 - $87.50/hr

Level AI • Remote (US) • Reports to the CRO About Level AI Level AI is building the LLM-native platform for customer experience. We process 100% of contact center interactions in real time to ...

Capco

Mid Level AI Engineer

Orlando, FL · Hybrid

Mid Level AI Engineer Location: Orlando, FL, USA (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent Build the next generation of AI-powered solutions using Large Language Models ...

Level AI

Sales Development Manager

Bodega Bay, CA · On-site

Level AI is a Series C AI company based in Mountain View. We build the platform that turns contact center conversations into intelligence the rest of the business can act on. Quality, analytics ...

Level AI

Sales Development Manager

Bodega Bay, CA

Level AI is a Series C AI company based in Mountain View. We build the platform that turns contact center conversations into intelligence the rest of the business can act on. Quality, analytics ...

Credence

Mid-Level AI Software Engineer

Mclean, VA · On-site

$115K - $155K/yr

Position Summary Credence has an immediate need for aMid-Level AI Software Engineerto join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice.

US Bank

Mid-Level AI Platform Engineers

Chicago, IL · On-site

Agentic AI concepts and workflows * Build intelligent pipelines using frameworks such as LangChain, LangGraph, and Microsoft Foundry Agent Service * Evaluate solution performance, accuracy, and ...

Credence

Mid-Level AI Software Engineer

Mclean, VA · On-site

$115K - $155K/yr

Position Summary Credence has an immediate need for a Mid-Level AI Software Engineer to join our growing AI and Automation practice. You will be a technical anchor in our AI and Automation practice.

US Bank

Mid-Level AI Platform Engineers

Charlotte, NC · On-site

Agentic AI concepts and workflows * Build intelligent pipelines using frameworks such as LangChain, LangGraph, and Microsoft Foundry Agent Service * Evaluate solution performance, accuracy, and ...

US Bank

Mid-Level AI Platform Engineers

Cincinnati, OH · On-site

Agentic AI concepts and workflows * Build intelligent pipelines using frameworks such as LangChain, LangGraph, and Microsoft Foundry Agent Service * Evaluate solution performance, accuracy, and ...

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All JobsLevel Ai Jobs

Level Ai information

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$11K

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How much do level ai jobs pay per year?

As of Jul 26, 2026, the average yearly pay for level ai in the United States is $86,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $60,000.00 and $107,500.00 per year, depending on experience, location, and employer.

What are typical challenges faced by Level AI specialists when implementing AI solutions in real-world business environments?

Level AI specialists often encounter challenges such as integrating AI systems with existing legacy infrastructure, ensuring data quality and privacy, and managing stakeholders’ expectations regarding AI capabilities. Collaboration with cross-functional teams like IT, data engineering, and business units is crucial to align technical solutions with organizational goals. Additionally, staying up-to-date with evolving AI technologies and regulatory compliance requirements is essential for long-term success in this role.

What is a Level AI Engineer?

A Level AI Engineer is a professional who specializes in developing and deploying artificial intelligence systems at a specific proficiency or seniority level within an organization. Their responsibilities typically include designing machine learning models, optimizing algorithms, and integrating AI solutions into products or services. The term 'Level' usually refers to the engineer's experience, skill set, and role within the company, such as junior, mid-level, or senior AI engineer. These professionals often work closely with data scientists, software engineers, and product teams to deliver intelligent solutions. Their work is essential for advancing automation, analytics, and decision-making capabilities in various industries.

What is the salary of level AI?

The salary for a Level AI role varies depending on experience, location, and industry, but entry-level positions typically start around $70,000 to $100,000 annually. More experienced professionals or specialized roles can earn upwards of $150,000 or more, especially in tech hubs or companies requiring advanced skills in machine learning and data analysis.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or executive role, which offers compensation in that range including salary, bonuses, and stock options. These roles often require advanced skills in data science, deep learning, and experience with AI tools and frameworks, along with a strong track record of innovation or leadership in the field.

What is the difference between Level Ai vs Data Analyst?

AspectLevel AiData Analyst
Required CredentialsTypically requires knowledge of AI tools, programming, and data science certificationsOften requires a bachelor's degree in statistics, mathematics, or related fields; certifications like Microsoft Excel or Tableau are common
Work EnvironmentTech-focused, often in AI development teams or startupsBusiness or corporate settings, analyzing data to inform decisions
Employer & Industry UsageUsed in AI and machine learning companies, tech firmsUsed across industries like finance, marketing, healthcare, and more
Search & Comparison IntentUnderstanding AI-specific roles, career paths in AIAnalyzing data, reporting, and insights generation

Level Ai and Data Analyst roles share overlapping skills in data handling and analysis. However, Level Ai focuses more on AI tools and machine learning, while Data Analysts primarily interpret data to support business decisions. The choice depends on your interest in AI development versus data reporting and analysis.

What is the most entry-level AI job?

An entry-level AI job is often a Data Labeler or Data Annotator, responsible for preparing and labeling data for machine learning models. These roles typically require basic computer skills, attention to detail, and familiarity with data annotation tools, and they serve as a starting point for careers in AI development.

What are the key skills and qualifications needed to thrive as a Level AI (Artificial Intelligence) Engineer, and why are they important?

To thrive as a Level AI Engineer, a strong background in computer science, mathematics, and experience with machine learning algorithms is essential, often supported by a relevant degree. Proficiency with programming languages such as Python, frameworks like TensorFlow or PyTorch, and knowledge of cloud computing platforms are typically required. Analytical thinking, problem-solving skills, and effective collaboration make individuals stand out in this role. These skills are crucial for developing, deploying, and optimizing AI solutions that meet complex business and technical needs.

Is Level AI a good company?

Level AI is a technology company specializing in AI and machine learning solutions. The company's reputation depends on factors such as employee reviews, work environment, and growth opportunities, which vary by individual experience. Job seekers should research current reviews and company culture to assess if it aligns with their career goals.
What cities are hiring for Level Ai jobs? Cities with the most Level Ai job openings:
What states have the most Level Ai jobs? States with the most job openings for Level Ai jobs include:
What job categories do people searching Level Ai jobs look for? The top searched job categories for Level Ai jobs are:
Level Ai jobs near you
Infographic showing various Level Ai job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $86,666 per year, or $41.7 per hour.
Senior Backend Engineer- AI Agents (Remote)

Senior Backend Engineer- AI Agents (Remote)

Level AI

Remote

Full-time

Medical, PTO

Posted 16 days ago

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.
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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.

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