AI engineer

📍Location: Kazakhstan, Europe, America

Work format: remote Schedule: GMT+3 ±2 hours Work experience: from 3 years Looking for an active and flexible candidate. Possible employment formats: Cyprus (Employment Contract), Kazakhstan (Employment Contract), Europe (contract and crypto payment) Perks: holiday gifts, course fees covered, 13th salary, bonuses

Responsibilities: • Development of AI chats working with real client data (CRM, history, statuses) • Building RAG systems based on the company's internal knowledge base • Development of voice AI bots (inbound and outbound calls) • Integration of AI with internal systems (CRM, ERP, API) • Implementation of dialogue logic considering business scripts and protocols • Call analysis: transcription, quality assessment, identification of deviations from scripts • Automation of call center operations and increasing operator efficiency • Optimization of latency and stability of AI solutions in a real-time environment • Working with large volumes of data (calls, chats, client history) • Development and enhancement of the company's internal AI services • Interaction with backend/DevOps teams for AI integration into products

Required skills: • Experience with LLMs (OpenAI, Claude, LLaMA, or similar) • Experience building RAG systems (working with knowledge bases, embeddings, retrieval) • Practical experience in developing AI solutions in production • Proficient in Python (FastAPI/async/API integrations) • Experience integrating AI with databases (PostgreSQL) • Experience working with queues (RabbitMQ) • Understanding of real-time systems architecture • 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 • Ability to work with business logic and real client data

Requirements: Experience with LLMs (OpenAI, Claude, LLaMA, or similar) Experience building RAG systems (working with knowledge bases, embeddings, retrieval) Practical experience in developing AI solutions in production Proficient in Python (FastAPI / async / API integrations) Experience integrating AI with databases (PostgreSQL) Experience working with queues (RabbitMQ) Understanding of real-time systems architecture 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 Experience of 3+ years Ability to work with business logic and real client data

Will be a plus: Experience developing voice bots (inbound / outbound) Experience in call center / fintech / collections Experience with WebRTC / streaming Docker / Kubernetes Experience in call analysis (operator assessment, script compliance monitoring)

Interview stages (all handled by the client): Name check (from us) HR screening and company presentation + Technical interview (1-1.5 hours) Security check Online polygraph (remote) Offer

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