Automation Engineer

2 weeks ago

Nairobi, Nairobi Area, Kenya Kooni Connect Full time 900,000 - 1,200,000 per year

Key Responsibilities

AI Agent Development

  • Build and deploy
    AI-powered conversational agents
    (voice + chat) for client-facing and internal workflows.
  • Fine-tune and integrate
    LLMs (OpenAI, Anthropic, Cohere, etc.)
    into business workflows.
  • Implement intent recognition, entity extraction, and dialogue management with frameworks like
    Rasa, LangChain, or Haystack
    .

Process Automation

  • Automate workflows such as
    lead intake, survey booking, billing, reminders, and consignment tracking
    .
  • Integrate AI agents with
    CRM systems (HubSpot, Salesforce, Zoho)
    and
    billing tools (QuickBooks, Xero)
    .
  • Leverage
    N8N, Replit, ,
    Zapier
    or custom APIs
    for workflow orchestration.

System Architecture & Integrations

  • Design modular architectures for scalable automation.
  • Build API-first integrations with WhatsApp, email, SMS, and telephony platforms (Twilio, Vonage).
  • Develop monitoring dashboards to track agent performance (response times, accuracy, conversion impact).

Optimization & Continuous Learning

  • Apply
    prompt engineering and fine-tuning
    for domain-specific tasks (e.g., moving inquiries, insurance terms, shipment tracking).
  • Use analytics to continuously improve agent performance (reduce errors, increase automation coverage).
  • Implement
    feedback loops
    to retrain models on real-world conversations.

Required Technical Skills

  • Strong proficiency in
    Python or
    (for automation scripting and AI integration).
  • Experience with
    AI agent frameworks
    (LangChain, Rasa, AutoGPT, AgentGPT).
  • Familiarity with
    NLP/LLM APIs
    (OpenAI GPT models, Hugging Face transformers, Cohere).
  • Hands-on experience with
    automation platforms
    (Zapier, Make, Airflow) and API development.
  • Knowledge of
    cloud deployment
    (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
  • Understanding of
    databases & vector stores
    (PostgreSQL, Pinecone, Weaviate, ChromaDB).
  • Ability to integrate
    voice AI
    (e.g., Twilio, Deepgram, ElevenLabs) into real-time workflows.

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