Real-Time Voice AI Engineer for LLM-Powered Apps

AceNet

Abu Dhabi Emirate

Hybrid

AED 400,000 - 700,000

Full time

6 days ago
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Benefits offered by this job

Competitive compensation
Comprehensive employee benefits
Learning and development opportunities
Career growth culture

Job summary

AceNet in the United Arab Emirates is seeking an experienced AI/LLM developer to design and ship AI-powered solutions. You will build real-time voice and conversational AI applications using Pipecat AI, integrate OpenAI APIs, and deploy LLM-based assistants and chatbots across enterprise contexts.

The role requires hands-on experience with REST APIs, backend services, prompt engineering, and integrating AI with external data sources.

Qualifications

  • Bachelor's degree or higher in Computer Science, IT, Engineering, or related field.
  • Minimum 3 years of hands-on AI/LLM development experience.
  • Hands-on experience with Pipecat AI for real-time voice AI and conversational apps.
  • Strong understanding of LLMs and OpenAI APIs integration.
  • Experience building conversational AI, voice assistants, AI agents, and chatbots.

Responsibilities

  • Build and integrate AI solutions using OpenAI APIs and LLMs.
  • Develop real-time voice AI and conversational apps with Pipecat AI.
  • Design and implement LLM-based applications, AI agents, chatbots, and interfaces.
  • Integrate REST APIs and backend services to support AI apps.
  • Apply prompt engineering to improve LLM accuracy and relevance.
  • Collaborate with stakeholders and teams to deliver AI solutions.

Skills

Analytical skills
Problem-solving
Communication skills
Independent work
Cross-functional collaboration

Education

Bachelor's degree or higher in Computer Science or related field

Tools

Pipecat AI
LangChain
LangGraph
LlamaIndex
Pinecone
FAISS
ChromaDB
Weaviate

Job description

AceNet in the United Arab Emirates is seeking an experienced AI/LLM developer to design and ship AI-powered solutions. You will build real-time voice and conversational AI applications using Pipecat AI, integrate OpenAI APIs, and deploy LLM-based assistants and chatbots across enterprise contexts.

The role requires hands-on experience with REST APIs, backend services, prompt engineering, and integrating AI with external data sources.

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