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Full Stack AI Engineer

LHH · Chicago, IL

Full Stack EngineeringRemote

About this role

This role involves building end-to-end product features across frontend, backend, and AI systems, specifically focusing on agentic applications. You will design and implement multi-step agent workflows that can plan, execute, and recover from failures. The technical environment includes Next.js, Python, Node.js, PyTorch, and various LLMs like OpenAI and Anthropic. You will work closely with product, machine learning, and backend engineering teams to improve platform reliability and observability. The position is a remote-first role within a high-caliber engineering team tackling AI orchestration and latency optimization.

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Full Stack Engineer - AI Systems

📍 Remote (U.S.)

💰 Salary Range: $160,000 - $250,000 base salary + equity (Final compensation determined by experience, skills, and market factors.)


Are you excited about building AI products that move beyond simple chatbots into intelligent, goal-driven systems that can plan, take action, recover from failure, and deliver meaningful outcomes?


We're partnering with an innovative AI-focused company building the next generation of agentic applications. This is an opportunity to join a high-caliber engineering team focused on creating AI-native products that leverage LLMs, memory, and external tools to solve real-world problems at scale. The team is tackling some of the most interesting challenges in AI today, including reliability, orchestration, latency optimization, and long-running autonomous workflows.


What You'll Do:

  • Build end-to-end product features across frontend, backend, and AI systems
  • Design and implement multi-step agent workflows that can plan, execute, recover from failures, and complete complex tasks
  • Integrate LLMs, retrieval systems, memory architectures, and external tools into production applications
  • Create highly responsive AI experiences featuring streaming responses and real-time interactions
  • Improve platform reliability, observability, monitoring, and resiliency
  • Collaborate closely with product, machine learning, and backend engineering teams
  • Continuously iterate on AI workflows based on user behavior, performance metrics, and real-world outcomes
  • Help establish engineering patterns and best practices for scalable AI products


What We're Looking For:

  • 4+ years of professional software engineering experience
  • Strong full stack development experience across frontend and backend systems
  • Experience designing APIs and scalable distributed systems
  • Hands-on experience building AI-powered applications, LLM integrations, RAG systems, agents, or workflow orchestration platforms
  • Strong proficiency with JavaScript/TypeScript and modern web frameworks
  • Experience with Python for backend services and AI integrations
  • Ability to thrive in fast-paced environments with evolving requirements
  • Strong ownership mindset with a passion for taking products from concept to production


Preferred Experience:

  • Agentic AI systems
  • Retrieval Augmented Generation (RAG)
  • OpenAI, Anthropic, or open-source LLMs
  • Kubernetes and Docker
  • Real-time applications and streaming architectures
  • Observability and production monitoring
  • SQL and NoSQL databases
  • Cloud-native application development


Technology Stack:

  • Next.js
  • Python
  • Node.js
  • PyTorch
  • OpenAI / Anthropic / Open Source LLMs
  • SQL & NoSQL Databases
  • Kubernetes
  • Docker


Why Join?

  • Build cutting-edge AI products with real-world impact
  • Work alongside talented engineers focused on innovation and execution
  • High-ownership environment with significant influence on product direction
  • Opportunity to solve complex AI reliability and orchestration challenges
  • Competitive compensation package including equity potential
  • Remote-first flexibility


Illinois Pay Transparency Statement:

In accordance with Illinois law, the anticipated base salary range for this position is $160,000 - $220,000 annually, plus potential equity and additional benefits. Actual compensation will depend on qualifications, experience, skills, and geographic location.


Work Authorization Requirement:

Candidates must be legally authorized to work in the United States without current or future sponsorship. This employer is unable to provide visa sponsorship or employment-based immigration support now or in the future.


Interested in building the future of AI-native products? Apply today.


Equal Opportunity Employer/Veterans/Disabled


To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.lhh.com/us/en/candidate-privacy


#AIJobs #FullStackEngineer #ArtificialIntelligence #LLM #GenerativeAI #AgenticAI #SoftwareEngineering #TechJobs #RemoteJobs #Python #NextJS #MachineLearning #HiringNow

$160,000–$250,000 / yearApply now

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