Role Overview
We’re looking for an Applied AI Engineer with 2+ years of hands-on AI development experience to build and integrate industry-focused AI solutions across various sectors.
This role goes beyond research — you’ll implement AI solutions starting from chatbots and scale up to AI-powered agents and avatars, integrating them into real client systems and adapting their behavior to client-specific data and workflows.
Responsibilities
Build and deploy AI chatbots as entry-level solutions for clientsProgress to designing AI-powered agents and avatar-based assistantsIntegrate LLMs into web, mobile, and backend systemsAdapt AI behavior using client-provided databases and industry knowledgeImplement Retrieval-Augmented Generation (RAG) pipelinesAutomate workflows and system triggers using N8N or similarIntegrate real-time AI avatar interactions with LiveKit, Tavus, or similarCustomize AI logic per industry and per clientCollaborate with product, backend, and frontend teamsShip production-ready AI features in a SaaS environmentSkills
Qualifications
2+ years of applied AI development experience
Hands-on experience with:
LLMs (OpenAI, Anthropic, Azure OpenAI, etc.)AI chatbots, conversational AI systems, and/or AI agentsPrompt engineering & system instructionsExperience integrating AI with:
APIsDatabasesSaaS platformsProficiency in JavaScript and/or Python
Understanding of embeddings, vector databases, and RAG
Nice to Have
Familiarity with AI agent frameworks like LangChain, LlamaIndex, or similarExperience with applied AI tools such as N8N, Tavus, LiveKit, or similarSaaS or multi-tenant system experienceExposure to regulated industries (medical or insurance)Experience with AI avatars or voice-based systems
