NodeJS AI Engineer

job summary:
Our client is seeking a NodeJS AI Engineer with the following:

 
location: Sunnyvale, California
job type: Contract
salary: $50 - 75 per hour
work hours: 9am to 5pm
education: No Degree Required

responsibilities:
W2 Only Role as cannot sponsor Visa so Only Eligible for USC or GC candidates

TORC Ropes Assessment Requirement: Please note that as a mandatory first step in the interview process, you must be able to successfully complete the Ropes coding test.

Relocation ok from Day 1

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Design, build, and maintain scalable Node.js/TypeScript backend services, REST APIs, microservices, and backend orchestration layers. Develop AI-enabled backend services that integrate with LLM APIs, RAG workflows, embeddings, vector databases, and enterprise knowledge sources. Build backend systems that support intelligent search, document retrieval, summarization, recommendations, workflow automation, or agent-assist capabilities. Design and implement prompt orchestration, conversation context management, tool/function calling, and structured response handling. Integrate backend services with databases, caches, messaging systems, and cloud-native infrastructure. Implement Redis/caching strategies, rate limiting, session/context handling, retries, timeouts, and API performance optimization. Design secure APIs with proper authentication, authorization, validation, error handling, logging, and monitoring. Support asynchronous and event-driven processing using tools such as Kafka, queues, or background workers. Build and maintain CI/CD pipelines, automated testing, and production deployment processes. Monitor backend and AI system performance, including latency, errors, token usage, cost, retrieval quality, and system reliability. Troubleshoot production issues and improve the scalability, reliability, and accuracy of AI-enabled backend services. Collaborate with product, architecture, front-end, data, and platform teams to deliver secure, production-ready AI capabilities.

qualifications:
AI & LLM Engineering

LLM Integration & APIs: Connecting backend systems to Large Language Model APIs, tool/function calling, and structured response handling.

RAG & Vector Search: Building Retrieval-Augmented Generation workflows, managing embeddings, and integrating vector databases and enterprise knowledge sources.

Agentic Workflows & Prompt Orchestration: Designing prompt pipelines, managing conversation context/memory, and building agent-assist capabilities.

AI Applications: Developing intelligent search, document retrieval, automated summarization, recommendation systems, and workflow automation.

AI System Observability: Monitoring token usage, API costs, latency, retrieval accuracy, and generation quality.

Core Backend & Architecture

Node.js & TypeScript: Modern, strongly-typed backend software development.

API & Service Architecture: Designing RESTful APIs, microservices, and backend orchestration layers.

Event-Driven & Asynchronous Processing: Implementing message brokers (e.g., Kafka, queues) and background worker systems.

Data Management & Caching: Database design, state management, and high-performance caching strategies using Redis.

Performance, Security & DevOps

Performance Optimization: Implementing rate limiting, retries, timeouts, session management, and latency reduction.

API Security & Governance: Designing secure authentication, authorization (RBAC), input validation, logging, and error handling.

DevOps & CI/CD: Building automated testing pipelines, CI/CD workflows, and managing production deployments.

Production Reliability & Monitoring: Troubleshooting production issues, tracking system error rates, and ensuring service reliability and scalability.

Cross-Functional Collaboration

Engineering Alignment: Partnering with product management, enterprise architecture, frontend, data engineering, and platform teams to deliver production-grade AI features.

skills:
AI integration,APIs,AI implementation,AI-enabled,AI,scalable backend services,backend,caching,cloud deployments,CI/CD,enterprise applications,LLMs,LLM APIs,ML research,application environment,microservices,Node.js,pure data,Redis,REST APIs,vector search,backend architecture,TypeScript,production support,vector databases

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact View email address on us.fitly.work.




Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.

Qualified applicants in San Francisco with criminal histories will be considered for employment in accordance with the San Francisco Fair Chance Ordinance.




Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.




We will consider for employment all qualified Applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the City of Los Angeles' Fair Chance Initiative for Hiring Ordinance.