Description :

Job Description :

What you'll 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.

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.