AI Engineer

Required skills:
— Experience with LLMs (OpenAI, Claude, LLaMA or similar)
— Experience building RAG systems (knowledge bases, embeddings, retrieval)
— Hands-on experience developing AI solutions in production
— Strong Python skills (FastAPI / async / API integrations)
— Experience integrating AI with databases (PostgreSQL)
— Experience with message queues (RabbitMQ)
— Understanding of real-time system architecture
— Experience with ASR (speech-to-text) and TTS (text-to-speech)
— Understanding of voice/chat AI pipeline architecture
— Experience working with APIs and microservice architecture
— Experience with high-load systems
— 3+ years of experience
— Ability to work with business logic and real client data

Nice to have:
— Experience building voice bots (inbound / outbound)
— Experience in call centers / fintech / collections
— Experience with WebRTC / streaming
— Docker / Kubernetes
— Experience in call analysis (agent scoring, script compliance monitoring)

Responsibilities:
— Develop AI chat systems working with real client data (CRM, history, statuses)
— Build RAG systems based on company knowledge bases
— Develop voice AI bots (inbound and outbound calls)
— Integrate AI with internal systems (CRM, ERP, APIs)
— Implement dialogue logic based on business scripts and protocols
— Analyze calls: transcription, quality scoring, detection of script deviations
— Automate call center operations and improve agent efficiency
— Optimize latency and stability of AI solutions in real-time environments
— Work with large volumes of data (calls, chats, customer history)
— Build and develop internal AI services for the company
— Collaborate with backend and DevOps teams to integrate AI into products