Published on
Oct 14, 2025
Full-Time
Remote, Hybrid, or On-Site
Salary Negotiable
About the Role
Senior AI Backend Engineer
NetSpeek's Lena is the first Language Enabled Network Administrator built exclusively for operating multi-vendor networks of UC and Pro AV technologies. As a generative AI platform built from the ground up for enterprise-scale network operation, Lena automates much of the day-to-day administration of your UC and Pro AV network. Lena is a multi-lingual network administrator trained on a wealth of industry standards, platform-specific training, technical documentation and the operational history and context specific to your enterprise. Lena can autonomously monitor the network 24x7x365, observe when issues arise, investigate root causes, develop and execute resolutions, and generate reports to optimize both autonomous and human-driven workflows.
Overview
We’re looking for a highly skilled Senior AI/Backend Engineer to help us build cutting-edge, AI-powered solutions.
Key Responsibilities
Build AI agent workflows: Develop and maintain AI agents for automation.
Create multi-agent systems: Design systems to support multi-agent workflows and orchestration.
Build conversational AI: Create conversational systems using LLMs and AI frameworks.
Develop and maintain backend services to support AI agent orchestration.
Deploy to cloud platforms and optimize systems for performance and scalability.
Develop testing strategies for AI workflows and implement evaluation frameworks to monitor agent performance.
Technical Requirements
AI Frameworks: Experience with the OpenAI API and frameworks like LangGraph or CrewAI.
Backend Technologies: Strong experience with Python, FastAPI, and modern async programming.
Conversational AI: Hands-on experience building LLM-based conversational systems.
Containerization: Solid understanding of Docker and related technologies.
Databases: Experience with vector databases and search tools like Elasticsearch or Qdrant.
Version Control: Proficient with Git workflows and collaborative development.
Preferred Qualifications
Cloud Expertise: Experience with AWS.
Advanced AI: Familiar with prompt engineering, RAG pipelines, or fine-tuning LLMs.
Soft Skills
Proactive: Take initiative and drive projects forward while collaborating effectively with the team.
Continuous Learner: Passionate about staying current with emerging AI technologies.
Problem Solver: Brings an innovative approach to complex technical challenges
Featured Benefits
Medical insurance
Requirements Added by the Job Poster
• Authorized to work in the United States


