AI Engineer (LLM / RAG / Voice AI / Python)

#vacancy #Fintech

AI Engineer (LLM / RAG / Voice AI / Python)
📍 Remote 
💰 €4,000–€8,000
Company name: NDA (Cyprus)
 
We are an international fintech group operating multiple products across different GEOs, focused on micro-lending and proprietary payment solutions. All engineering and product development are fully in-house, with a strong internal tech team and long-term investment in engineering expertise.
The company is currently scaling rapidly, expanding into new markets, and growing its AI/Engineering function. The project has been operating for around 8 years, while the core IT team has been working together for 5–6 years.
The environment is fast-paced and highly dynamic, with minimal bureaucracy, quick decision-making, and flexible processes. This role is a great fit for engineers with a startup mindset who are comfortable working in rapidly evolving environments and taking ownership.
 
Responsibilities
Develop AI chat systems working with real customer data (CRM, history, statuses)
Build RAG systems using the company’s internal knowledge base
Develop voice AI bots for inbound and outbound calls
Integrate AI solutions with internal systems (CRM, ERP, APIs)
Implement dialogue logic based on business scripts and workflows
Analyze calls: transcription, quality assessment, script compliance monitoring
Automate call-center processes and improve operator efficiency
Optimize latency and stability of AI solutions in real-time environments
Work with large-scale datasets (calls, chats, customer history)
Develop and improve internal AI services
Collaborate closely with Backend and DevOps teams
 
Requirements
4+ years of commercial experience
Experience working with LLMs (OpenAI, Claude, LLaMA, or similar)
Hands-on experience building production AI solutions
Experience designing and implementing RAG systems
Strong Python skills (FastAPI, async, API integrations)
Experience with PostgreSQL
Experience with RabbitMQ
Understanding of real-time systems
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 customer data
 
Nice to have
Experience building voice bots (inbound / outbound)
Experience in fintech / collections / call-center domains
Experience with WebRTC / streaming
Docker / Kubernetes
Experience with call analysis and operator quality monitoring
 
What We Offer
Remote-first environment
Candidates across Europe and Ukraine are welcome
Flexible timezone approach
Cyprus-based employment option
Fast-growing product environment
Strong in-house engineering culture
 
The hiring process for this position includes an online AI-based polygraph stage immediately before the offer stage.