Experienced Node.js developer to build and maintain fast, reliable backend services and APIs.
Compensation
Base Compensation Range: $100,000- $130,000. The posted range is the hiring range for this role — a subset of the broader range available to employees over time — and reflects base salary across our national hiring scale. Final offers are based on several factors, including the candidate's skills and experience, internal pay equity, work location, market conditions for the role, and the specific scope and responsibilities of the position. The top of the range is reserved for candidates who notably exceed the requirements; the lower end applies to those with less experience or fewer preferred qualifications. For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
Responsibilities
Build and maintain REST APIs and backend services using Node.js
Design database structures and write efficient queries
As a Senior AI Engineer on the Microsoft Office AI team, you will bring AI-native work experiences across Copilot in Office and the Copilot SuperApp, turning insights into production-grade domain agents.
Locations (3)
Redmond, Washington, United States
San Francisco, California, United States
New York, New York, United States
Compensation
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $160,200 - $261,000 per year.
Responsibilities
Architect, prototype, and lead the iteration on AI agent experiences that reimagine domain-specific workflows across Copilot in Office and Copilot Cowork
Drive the delivery of features by operating at the intersection of SWE, applied science, product, and domain expertise
Designing and building automation platforms to validate data center rack infrastructure at scale, including workflow orchestration systems, agent-based automation, and developer tooling.
Compensation
The salary range for this position is $157,250-$203,500.
Responsibilities
Design and develop workflow orchestration platforms using technologies such as Temporal, FastAPI, and React to automate multi-phase hardware validation across servers, switches, PDUs, and accelerators
Build AI-agent-driven development tooling and automation -- leveraging LLMs, retrieval-augmented generation (RAG), and multi-agent architectures to accelerate test development, diagnostics, and root cause analysis
Develop and maintain containerized test execution pipelines that run on Kubernetes (RKE2) and HPC schedulers (Slurm) in air-gapped, on-premise environments
Integrate with hardware management interfaces (Redfish/IPMI, gNMI, SNMP) to automate device discovery, firmware updates, BIOS configuration, and health monitoring
Collaborate with field deployment teams to ensure software is reliable, operator-friendly, and functions without internet connectivity at customer sites
Architect and lead the technical strategy for Apple’s People Systems platform, shaping configuration-driven, scalable, and secure systems that support recruiting, onboarding, core HR, payroll, compensation, and benefits.
Responsibilities
Design and architect large-scale, configuration-driven platforms for People Systems
Define data models, rules, workflows, permissions, screens and reports
Ensure system scalability, security, and resilience
Collaborate with product managers and cross-functional engineering teams
Translate business requirements into technical designs
Requirements
BS or MS in Computer Science, Software Engineering or related field
Design and build Python services for long-running workflows, build integrations with Workday, SAP and ServiceNow, design PostgreSQL data models and run services on Azure, own code quality, mentor engineers and help the team ship in small, frequent releases.
Responsibilities
Design and build Python services for long-running workflows
Build integrations with Workday, SAP and ServiceNow
Design PostgreSQL data models and run services on Azure
Own code quality: review pull requests, set coding and testing standards
Mentor engineers and help the team ship in small, frequent releases
Senior AI Engineer focused on generative AI and ML engineering for the Operational Intelligence Program within Mastercard's Business & Market Insights group.
Responsibilities
Architect and build the tool‑calling layer that powers our agents
Engineer reliable tool execution at scale, including parallel and chained tool calls, timeouts, retries, idempotency, error recovery, and graceful handling of tool failures or bad model outputs
Develop high‑performance Python backend services for LLM orchestration, covering async job handling, streaming responses, caching, rate limiting, and distributed workflows supporting high‑throughput Gen AI operations
Engineer state, memory, and context management subsystems so agents can maintain session continuity across long, multi‑step, tool‑heavy interactions
Architect multi‑agent and skills‑based agent systems using frameworks such as LangGraph, CrewAI, AutoGen, or similar
Requirements
Bachelor's or Master's degree in Computer Science, AI/ML, or Engineering, or equivalent practical experience
Nice to have: Model Context Protocol (MCP)
Nice to have: tool servers and connectors for LLM agents
Node.JS DeveloperNewEXL · Pittsburgh, US
Principal Systems Development EngineerDell Technologies · Austin, US
Senior EngineerStatar Capital, LLC · Miami, US
Principal Platform Engineer - People SystemsApple · Sunnyvale, US
Senior AI EngineerMastercard · Pune, India