Responsible for designing, developing, and implementing AI-based solutions, including intelligent agents to automate processes and optimize operational workflows to drive business efficiency and improve client experience.
Responsibilities
Design and develop autonomous AI agents and multi-agent systems to automate complex business processes.
Create RAG (Retrieval-Augmented Generation) architectures integrating vector databases, business knowledge, and external APIs.
Implement client management agents connected via MCP to critical applications (CRM, media platforms, analytics, etc.).
Automate operational workflows in Google Marketing Platform (GMP), advertising platforms, and reporting tools.
Develop generative AI solutions to improve communications, insight generation, and repetitive tasks.
Requirements
University degree in Engineering
University degree in Data Science
University degree in Computer Science or similar
Master/specialization in Data Science, AI or Generative AI (valued)
Nice to have: Experience in media agency, digital marketing, or advertising environments
Responsible for ensuring the stability, performance, and security of databases and data for the University of Washington’s Office of Research Information Systems.
Compensation
Pay Range Minimum: $117,600.00 annual
Pay Range Maximum: $124,800.00 annual
Responsibilities
Design, deploy, configure, maintain, and deprecate database environments
Develop SQL queries for applications and reporting
Implement automation to reduce repetitive tasks
Maintain configuration and management of databases across environments
Configure logging and monitoring
Requirements
Bachelor’s degree in Engineering, Computer Science, Math/Statistics, or Business
Lead the Identity Platform’s technical strategy as an individual contributor—architecting resilient, distributed systems and taking end-to-end ownership of major cross-team initiatives.
Compensation
$156,400.00 - $253,000.00/yr
Responsibilities
Lead the Identity Platform’s technical strategy as an individual contributor
Make initiative-level design and architecture decisions in fast-moving, ambiguous conditions
Set and enforce the engineering bar through design and code reviews
Prototype, design, and build new platform components and Proof of Concepts (PoCs)
Write clean, secure, and performance-optimized code
Requirements
B.S. or higher in Computer Science or related technical field
Senior Principal Software Engineer leading technical vision and architecture for Cortex Xpanse Attack Surface Management platform.
Compensation
$170,000.00 - $277,000.00/yr
Responsibilities
Build, optimize, and scale distributed backend scanning systems in Go.
Design and develop robust data collection pipelines using Apache Beam and Java multithreading frameworks.
Investigate new data sources and perform data analysis to estimate customer impact.
Take ownership of projects, drive them to completion, and support them in production.
Partner with engineering leadership, product managers, and downstream teams to define product strategy and enable the creation of new customer-facing features.
Architect, design, and implement highly scalable, distributed, and fault-tolerant microservices supporting rapid growth and evolving business requirements.
Compensation
$126,000.00 - $204,500.00/yr
Responsibilities
Architect, design, and implement highly scalable, distributed, and fault-tolerant microservices that support rapid growth and evolving business requirements.
Own the end-to-end execution of complex initiatives, delivering high-quality, maintainable, secure, and scalable solutions.
Partner closely with engineering, product, and infrastructure teams to evaluate feature requests and translate business needs into robust technical designs.
Drive continuous, iterative development using test-driven methodology, automated testing, and CI/CD practices to maximize code quality, supportability, and performance.
Diagnose and resolve complex production issues, partner with Support teams on customer escalations, and lead root-cause analyses.
Requirements
B.S. or higher in Computer Science or related technical field
Lead an engineering organization by hiring, developing and managing engineers, setting technical direction and driving reliable, high-quality software releases.
Compensation
Base salary: CAD 200,000 to 230,000 per year
Responsibilities
Recruit, grow and manage engineers
Raise the pace of delivery so that priorities turn into dependable, high-quality releases
Set technical direction across customer-facing applications, internal tools, data, payments and IT systems
Design AI-driven workflows that cut the manual time needed across several service lines
Make architecture decisions and contribute hands-on code when the team needs it
Lead complex deployments of software, architect enterprise‑grade cloud and Android solutions, and work directly with key enterprise customers to resolve high‑stakes technical challenges.
Locations (3)
Holtsville, New York, United States
Lincolnshire, Illinois, United States
United States
Compensation
$96,800.00 - $145,200.00 Annual
Responsibilities
Establishes requirements for moderately complex software design projects
Prioritizes features to ensure the most impactful are implemented first
Leads and participates in code reviews, proactively identifying and addressing issues early in the development process
Completes all phases of moderately complex software design and development projects, including in process and final inspections to meet quality standards
We are looking for a hands-on AI Automation Engineer to build and manage integrations, automations, and internal tools that connect Salesforce, HubSpot, and internal business systems. You will own the cross-platform engineering layer, ensuring seamless data flow, transformation, and synchronization across systems.
Locations (2)
Gurugram, Haryana, India
Bengaluru, Karnataka, India
Responsibilities
Develop integrations between Salesforce, HubSpot, and internal systems using REST APIs.
Build n8n workflows for data synchronization, enrichment, lead routing, and automation.
Write Python scripts for data processing and automation.
Develop AI-powered tools using Claude and Open AI APIs.
Build database-backed dashboards and reporting tools.
