Design and lead backend architecture that supports AI/ML-powered features across mobile and API surfaces
Own end-to-end technical strategy for embedding LLMs, embedding stores, and personalized content delivery
Partner with product and design to scope features, validate feasibility, and ensure execution aligns with business impact
Build tools and services to help other team members experiment and ship AI-enhanced features responsibly and efficiently
Influence engineering standards and promote excellence in observability, performance, and security
Mentor engineers across teams, helping them level up in areas of backend architecture, AI integration, and delivery quality
Collaborate with cross-functional partners across QA, Mobile, Data Science, Product, and Marketing
Requirements
8+ years of experience in backend development, with at least 2+ years working with AI/ML solutions or LLM
Experience working with vector databases, embeddings, and semantic search
Familiarity with MLOps, CI/CD for AI pipelines, and AI observability tools
Strong experience in Node.js, TypeScript, GraphQL, and REST APIs
Deep familiarity with AWS architecture — especially Lambda, ECS, S3, DynamoDB, API Gateway, and Step Functions
Experience building and integrating LLM features (e.g., via OpenAI, Claude, Vertex AI, or similar), including prompt design, vector storage, and retrieval strategies
Fluency in system design principles, scalability, reliability, fault-tolerance
Ability to drive clarity and make architectural tradeoffs, balancing idealism with pragmatism
Strong communication and collaboration skills, able to work effectively across product and engineering orgs.
Benefits
In addition to the above salary, this role may be eligible for a bonus.
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