Job Description
3.83.8 out of 5 stars
United States
Full-time
Job type
- Full-time
Full 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
What you’ll bring
Must-haves
- 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.
- 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.
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.
How you’ll 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.