Design, develop, and maintain Kotlin/Spring Boot microservices on the JVM

Build and evolve the AI engine and agent orchestration systems (chat, voice, avatars, web agents)

Implement and optimize RAG pipelines (semantic, lexical, knowledge-graph based)

Integrate and experiment with LLMs (Gemini, open-source models, Hugging Face, etc.)

Develop infrastructure-level components (new microservices, tooling, observability, performance optimization)

Use AI tools (Claude, Copilot/Codex, etc.) throughout the development lifecycle

Collaborate with product and UX teams to translate requirements into scalable technical systems

Participate in architecture discussions, design reviews, and technical decision-making

Own features end-to-end: design → implementation → deployment → monitoring

Conduct R&D on emerging AI and agentic capabilities and bring production-ready implementations

Strong professional experience with Kotlin on the JVM

Solid hands-on experience building Spring Boot microservices

Deep understanding of system design, distributed systems, and cloud architectures (preferably GCP)

Experience building production-grade backend services (clean code, testing, observability, performance tuning)

Experience with databases and caching systems (MongoDB, Redis, etc.)

Familiarity with LLM workflows (prompt engineering, evaluation, integration patterns)

Experience with agentic frameworks (LangChain, LangGraph, CrewAI, AutoGen, etc.)

Proven experience using AI tools (e.g., Claude) for development and AI-assisted code review

Strong ownership mindset and ability to deliver in a fast-paced environment

Excellent communication and collaboration skills

Comfortable working in ambiguous, R&D-style problem spaces