Summary of V-Key
V-Key is one of the world's leading deep-tech companies in mobile cyber-security. Our patented technology V-OS has been deployed by top banks, mobile payment providers, and governments to secure software solutions and protect more than 500 million users globally.
We are rapidly expanding into new markets and new customer segments. Apart from securing digital transactions for everyone, we are also enabling new generation technology by providing the cyber-security infrastructure for banking, government and smart homes, among many others.
At V-Key, we are building towards a future where technology users can enjoy unprecedented security and convenience.
We are seeking an AI Engineer with a strong focus on Large Language Models (LLMs) and chatbot systems. This role involves building, evaluating, and operating production-grade conversational AI systems with strong emphasis on quality, safety, observability, and continuous improvement as part of the Engineering Department.
Duties and Responsibilities
- Contribute to the company-wide AI Transformation Program, driving adoption of AI across multiple teams and departments.
- Design and build a shared internal AI system/platform that can be reused by Engineering, Product, Support, Operations, and other department.
- Develop AI applications (chatbots, knowledge assistants, workflow automation tools) that solve real productivity and operational problems.
- Continuously research, evaluate, and prototype latest AI and LLM technologies, and assess their applicability for internal enterprise use cases.
- Evaluate and integrate different AI model approaches, including commercial LLM APIs, open-source models, and emerging AI technologies (e.g. OpenClaw).
- Define best practices for enterprise LLM architecture, including model selection, cost optimization, data governance, and scalability.
- Work with cross-functional stakeholders to identify high-impact AI use cases and translate them into production-ready internal solutions.
Requirements
- Currently Bachelor's degree in Computer Science, Artificial Intelligence, or a related field.
- Strong experience with Python and LLM frameworks such as LangChain, LlamaIndex, or similar.
- Hands-on experience working with LLM APIs or models (e.g., OpenAI, Azure OpenAI, Anthropic, open-source LLMs).
- Experience building chatbot systems and conversational flows in production environments.
- Knowledge of evaluation techniques for LLMs, including test sets, scoring, human-in-the-loop evaluation, or A/B testing.
- Experience implementing monitoring for AI systems (logging, metrics, tracing, quality dashboards).
- Familiarity with vector databases (FAISS, Pinecone, Milvus, Weaviate) and embeddings.
- Experience integrating AI services via REST APIs and microservices architectures.
Nice to Have
- Experience contributing to or leading an AI platform, internal tooling, or digital/AI transformation initiative.
- Familiarity with enterprise AI architectures, including shared platforms, multi-tenant systems, and internal developer platforms.
- Experience evaluating and comparing multiple LLM providers and open-source models for performance, cost, and governance.
- Exposure to LLMOps / AI platform governance, including standards, best practices, and internal enablement.
- Strong interest in staying up to date with the rapidly evolving AI ecosystem and applying new technologies to real business problems.
Soft skills
- Strong problem-solving and analytical thinking.
- Clear communication skills and ability to explain AI concepts to non-technical stakeholders.
- Ownership mindset and ability to operate AI systems reliably in production.
- Team player with a continuous learning attitude in a fast-evolving AI landscape.
