Level AI

Lead Research Engineer - Applied AI

California, United States

Not SpecifiedCompensation
Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level
Full TimeJob Type
UnknownVisa
Customer Experience, Artificial IntelligenceIndustries

Lead Applied AI Researcher

About Level AI

Level AI is revolutionizing customer experience by transforming contact centers into strategic assets through state-of-the-art AI. Our platform leverages LLMs and real-time intelligence to understand complex customer interactions and drive better business outcomes.

Role Overview

We’re looking for a hands-on and visionary Lead Applied AI Researcher to spearhead cutting-edge advancements in agentic AI systems. This role will focus on building intelligent, decision-making agents powered by reinforcement learning, LLM fine-tuning, and multi-agent frameworks to enhance our AI-native CX platform.

Key Responsibilities

  • Design and build agentic systems that operate autonomously across multi-step tasks.
  • Apply and adapt reinforcement learning (RL) techniques to real-world interaction and decision-making problems.
  • Fine-tune and optimize large language models (LLMs) for dialog management, summarization, and real-time analysis of customer interactions.
  • Lead rapid prototyping and applied research on intelligent agent behavior, planning, and memory across various domains.
  • Collaborate closely with engineering, product, and data teams to bring research into production at scale.
  • Stay current with advancements in open-source LLMs, RL frameworks, and cognitive architectures, integrating them when relevant.
  • Publish internal whitepapers and influence long-term AI strategy at Level AI.

Qualifications

  • Experience in CS, Machine Learning, or a related field.
  • 5 - 10+ years in applied AI roles with proven contributions to LLM, RL, or agentic research.
  • Expertise in:
    • Reinforcement Learning (e.g., PPO, GRPO)
    • Agentic systems (planning, memory, autonomy)
    • LLM fine-tuning (PEFT, LoRA, RLHF)
  • Proficiency with PyTorch, Hugging Face, Ray RLlib, or similar libraries.
  • Experience shipping research to production in high-stakes environments.
  • Strong publication record or open-source contributions a plus.

Bonus Qualifications

  • Experience with dialog agents, retrieval-augmented generation (RAG), or multi-agent collaboration frameworks.
  • Background in building or scaling tool-using agents in enterprise contexts.

Why Join Us?

  • Work at the frontier of LLM + agentic system research applied to real business problems.
  • Collaborate with a world-class team in a high-growth, Series C startup.
  • Competitive salary, equity, and benefits.

Employment Type

Full Time

Location Type

Information not provided

Salary

Information not provided

Skills

Applied AI
Agentic AI systems
Reinforcement Learning
LLM fine-tuning
Multi-agent frameworks
Dialog management
Summarization
Real-time analysis
Autonomous systems
Planning
Memory
PyTorch
Hugging Face
Ray RLlib
PEFT
LoRA
RLHF
Dialog agents

Level AI

Enhances customer experience through intelligent automation

About Level AI

Level AI enhances customer experience by integrating human and machine intelligence, primarily serving the Business Process Outsourcing (BPO) industry, including call centers and customer service departments. The company provides software solutions that analyze and optimize call center data, breaking down data silos to ensure all relevant information is accessible for better decision-making and improved customer interactions. Level AI operates on a subscription model, charging clients for access to its platform and tools. Its technology boosts sales team conversion rates and increases the productivity of Quality Assurance (QA) teams, leading to reduced QA costs. By focusing on intelligent automation and data integration, Level AI helps clients achieve significant performance improvements and cost savings, setting it apart from competitors in the BPO sector.

Mountain View, CaliforniaHeadquarters
2018Year Founded
$72.4MTotal Funding
SERIES_CCompany Stage
Enterprise Software, AI & Machine LearningIndustries
51-200Employees

Benefits

Health Insurance
Dental Insurance
Vision Insurance
Unlimited Paid Time Off
Remote Work Options
Parental Leave
401(k) Retirement Plan

Risks

Emerging competition from other AI platforms threatens Level AI's market share.
Rapid AI advancements could render Level AI's offerings obsolete without continuous innovation.
Data privacy regulations may impact operations, especially with new monitoring features.

Differentiation

Level AI integrates human and machine intelligence for enhanced customer experience.
The company eliminates data silos, improving decision-making and customer interactions.
Level AI's subscription model offers steady revenue and customer retention.

Upsides

Increased demand for AI-driven customer service solutions boosts Level AI's market potential.
Growing interest in real-time conversational intelligence tools enhances call center performance.
Rising adoption of generative AI technologies automates tasks and personalizes interactions.

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