Developer Evangelist

What youll do

• Build, test, and release developer assets that accelerate experimentation: Spring Boot/Helidon services, service registry, API gateways, observability, Kubernetes.
• Create sample apps and hands-on labs covering document processing, chunking, embeddings, vector search, semantic search, RAG, agents, evaluation, prompt engineering, history management, re-ranking, grounding, and model tuning.
• Contribute to and influence frameworks like Spring Boot, Spring AI, LangChain, and LangGraph.
• Partner with Product Management and sales to engage developers, architects, CTOs, and CIOs - turn feedback into roadmap inputs and unblock adoption.
• Deliver compelling demos, talks, and content that showcase 26ai (AI Vector Search, generative/inference models, embedding models) and the surrounding ecosystem.

Responsibilities

What youll bring

Must-haves

• Masters in Computer Science or related field.
• 10+ years of professional software development (not all in AI).
• Strong engineering fundamentals; passion for quality, maintainability, clarity, and delivery.
• Deep experience in Java or Python (ideally both).
• Hands-on knowledge of running containerized workloads in Kubernetes, including Helm chart creation.
• 3+ years building microservices with Spring Boot. Experience with Spring Cloud, Eureka, Authorization Server, OpenTelemetry, advantageous.
• 1+ year building Generative AI apps (LLMs, RAG, agents, evaluation).
• Excellent communication and project management skills (in English); you turn complex tech into clear, actionable guidance.
• Curiosity, empathy, and a collaborative, customer-first mindset.

Nice-to-haves

• Experience with Spring AI.
• AI/ML experience (training, fine-tuning, neural nets, data science) and tools like NumPy, Pandas, or PyTorch.
• Experience with Helidon, API gateways, service registries, and observability stacks.
• Open-source contributions, public speaking, or community leadership.

How youll work

• Collaborate across product, engineering, and field teams to accelerate developer success.
• Balance depth and velocity: prototype quickly, validate with customers, and scale what works.
• Advocate for security, reliability, and measurable outcomes.