26ai (AI Vector Search, generative/inference models, embedding models) and the surrounding ecosystem needs to be showcased and adopted by developers, architects, CTOs, and CIOs. The job aims to accelerate developer experimentation and adoption of these technologies.
Requirements
- 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).
- 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.
Responsibilities
- 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.
- Deliver compelling demos, talks, and content that showcase 26ai (AI Vector Search, generative/inference models, embedding models) and the surrounding
- Prototype quickly, validate with customers, and scale what works.
- Advocate for security, reliability, and measurable outcomes.
Other
- Master's 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.
- Excellent communication and project management skills (in English); you turn complex tech into clear, actionable guidance.
- Curiosity, empathy, and a collaborative, customer-first mindset.
- Open-source contributions, public speaking, or community leadership.
