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