AI Enginner for AI applications

Proven Voicebot Experience Has built and deployed production voicebots using STT, TTS, and conversational AI technologies. Strong Generative AI Expertise Hands-on experience with OpenAI, Claude, Gemini, Llama, or other large language models. Advanced Python Development Skills Expert in Python with experience building scalable AI applications and APIs. RAG & Knowledge Systems Experience Able to develop Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise knowledge sources. Real-Time AI Integration Skills Experience integrating voice, chat, CRM, ERP, telephony, and business systems. AI Agent Development Experience Has built autonomous AI agents, workflow automation, and multi-agent systems. Cloud & Deployment Knowledge Experience deploying AI solutions on AWS, Azure, or Google Cloud using Docker and Kubernetes. Problem-Solving & Innovation Mindset Can translate business challenges into practical AI solutions with measurable ROI. Portfolio of Real Projects Demonstrates successful AI, voicebot, chatbot, or automation projects through GitHub, case studies, or live deployments. Excellent Communication & Business Understanding Can work directly with stakeholders, gather requirements, explain AI concepts clearly, and deliver business-focused outcomes. Bonus Qualifications Experience with Twilio, Deepgram, ElevenLabs, Whisper, AssemblyAI, LangChain, LangGraph, and LlamaIndex. Knowledge of AI security, governance, and evaluation frameworks. Experience fine-tuning models and optimizing AI costs and performance. Work hours 20 hours a week and price for 2 weeks displayed