Senior AI Engineer
Hello 👋 I am Servesh, Co- founder and CTO at Kayzen, and I am now looking for a Senior AI Engineer who will be part of our Engineering team. Kayzen is a mobile DSP democratizing programmatic advertising; we enable apps, agencies, media buyers, and brands to run campaigns through self-serve and managed service options. The Team You will work with Console Engineering, Product and ML teams on large-scale distributed systems, real-time bidding, data pipelines, and production AI features. Responsibilities include architecting, developing, deploying production-grade LLM capabilities, building backend services, RAG, embeddings, and tool calling, plus observability and cost management. Requirements include hands-on AI/LLM experience, full-stack skills (Angular, JavaScript/TypeScript, Python, NodeJS), API design, and AWS/GCP/Azure experience. The role offers a multinational team across several countries, flexible work-from-home arrangement, and relocation support if required.
Job Details
Responsibilities
- Architect, develop, and deploy production-grade LLM capabilities within the Kayzen Console
- Build backend services, APIs, and integrations that connect AI capabilities with our product
- Contribute to product-facing and full-stack functionality where needed
- Implement production patterns for LLMs, RAG, embeddings, agents, and tool calling
- Build reusable components and abstractions for velocity and consistency
- Set up and improve evaluation, observability, monitoring, and feedback loops for AI features
- Monitor quality, latency, reliability, and inference cost
- Troubleshoot production issues and iterate based on telemetry and user feedback
- Work with Product, ML and Engineering to translate product problems into AI solutions
- Prototype quickly, validate ideas, and turn experiments into production systems
Requirements
- Hands-on AI / LLM Experience
- Hands-on experience shipping LLM-powered features to production
- Practical experience with RAG, embeddings, vector search and/or agentic systems
- Experience with LLM APIs and orchestration patterns
- Strong Software Engineering / Full-Stack Skills
- Experience with AWS, Docker, CI/CD
Skills & Technologies
Benefits & Perks
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