Member of Technical Staff - Applied AI Engineering [Bay Area] at Ntt Data Aivista · LumiJobs

Qualification

Bachelor’s degree in a technical fieldExperience with model optimizationsExperience with LLM evaluationYou don’t need to check every box

8+ years building and shipping AI products, including systems running in production
Bachelor’s degree in a technical field, or an equivalent combination of education, training, and experience.
Production-quality software engineering in Python and other modern languages (Go, TypeScript, Rust, or similar), with a track record of taking systems from zero to production — durable software, not one-off scripts
A track record of taking AI capabilities from prototype to production — agentic workflows, RAG, or model customization — that stand up to real enterprise use
Hands-on experience deploying and operating services on a major cloud platform (AWS, Azure, or GCP), using containers and orchestration (Docker, Kubernetes, Helm, or similar)
Hands-on experience building LLM-powered and agentic applications — model APIs (e.g., OpenAI, Anthropic, Amazon Bedrock), agent frameworks (e.g., LangGraph, LlamaIndex), and retrieval-augmented generation (RAG)
Bias for action and ownership — you thrive with high autonomy and ambiguity, and ship without sacrificing rigor
Clear communication skills — comfortable working directly with enterprise customers and across engineering, product, and research

Hands-on design and implementation in an industry-leading AI product, as the technical leader for important product capabilities
Experience with model optimizations, agent protocols, and large-scale data processing
Experience with LLM evaluation, fine-tuning, or applied NLP
Experience deploying AI or software in large, regulated enterprise environments
Advanced degree (MS or PhD) in Computer Science, AI, or a related field
A track record of independent work that demonstrates AI depth — shipped products, open-source contributions, research, or technical writing
You don’t need to check every box. If you’re excited about this work and confident you can do it — even if your experience doesn’t line up with every qualification above — we’d rather hear from you than have you rule yourself out. Strong candidates often bring backgrounds we didn’t expect.

Member of Technical Staff - Applied AI Engineering [Bay Area]