AI Engineer

Required skills

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

Nice to have

• +Experience building voice bots (inbound / outbound)
• +Background in call centers / fintech / collections
• +Experience with WebRTC / streaming
• +Docker / Kubernetes
• +Experience in call analysis (agent performance evaluation, script compliance)

Responsibilities

• +Develop AI chat solutions working with real customer data (CRM, history, statuses)
• +Build RAG systems based on internal 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 assessment, deviation detection
• +Automate call center operations and improve agent efficiency
• +Optimize latency and stability of AI solutions in real-time environments
• +Work with large-scale data (calls, chats, customer history)
• +Build and scale internal AI services
• +Collaborate with backend and DevOps teams to integrate AI into products