Design and implement backend services that integrate AI capabilities including large language models (LLMs), retrieval-augmented generation (RAG), and conversational interfaces into consumer-facing products
Job Summary
Design and implement backend services that integrate AI capabilities including large language models (LLMs), retrieval-augmented generation (RAG), and conversational interfaces into consumer-facing products.
Ensure high reliability, performance, and security of AI-powered systems.
Collaborate with product and engineering teams to gather requirements and deliver solutions.
Matching Summary
Design and implement backend services that integrate AI capabilities including large language models (LLMs), retrieval-augmented generation (RAG), and conversational interfaces into consumer-facing products.
Skills & Requirements
Must-have
Backend services and APIs
AI platforms and services integration
LLMs, RAG, conversational AI
High reliability, performance, security
Consumer-facing products at scale
Nice-to-have
Expand AI expertise
Leverage engineering foundation
Work with AI specialists
Collaborate with product teams
Key Requirements
4+ years backend engineering experience
Proficiency in backend programming language (Java etc)
Experience with production-grade APIs and microservices