Senior AI Engineer responsible for developing and enhancing an enterprise AI platform using Python, LangGraph, and LangChain for a US healthcare client.
Compensation
Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program.
Responsibilities
Develop and enhance AI agents and orchestration capabilities using Python, LangGraph, and LangChain.
Build and extend AI-enabled guided workflows and automation capabilities.
Design, develop, and optimize conversational AI and chat-based experiences.
Implement agent planning, orchestration, memory, tool-calling, and response-generation capabilities.
Integrate AI agents and applications with enterprise systems, services, and APIs.
Develop and enhance AI agents and orchestration capabilities using Python, LangGraph, and LangChain for a US healthcare client, building scalable AI solutions and collaborating with engineering teams to accelerate innovation.
Compensation
Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program.
Responsibilities
Develop and enhance AI agents and orchestration capabilities using Python, LangGraph, and LangChain.
Build and extend AI-enabled guided workflows and automation capabilities.
Design, develop, and optimize conversational AI and chat-based experiences.
Implement agent planning, orchestration, memory, tool-calling, and response-generation capabilities.
Integrate AI agents and applications with enterprise systems, services, and APIs.
Requirements
Nice to have: Model Context Protocol (MCP)
Nice to have: Agent-to-Agent (A2A) communication
Nice to have: Retrieval-Augmented Generation (RAG)
Develop and enhance AI agents and orchestration capabilities using Python, LangGraph, and LangChain for a US healthcare client, building scalable AI solutions and collaborating with engineering teams to accelerate innovation.
Compensation
Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program.
Responsibilities
Develop and enhance AI agents and orchestration capabilities using Python, LangGraph, and LangChain.
Build and extend AI-enabled guided workflows and automation capabilities.
Design, develop, and optimize conversational AI and chat-based experiences.
Implement agent planning, orchestration, memory, tool-calling, and response-generation capabilities.
Integrate AI agents and applications with enterprise systems, services, and APIs.
Requirements
Nice to have: Model Context Protocol (MCP)
Nice to have: Agent-to-Agent (A2A) communication
Nice to have: Retrieval-Augmented Generation (RAG)
Develop and enhance AI agents and orchestration capabilities using Python, LangGraph, and LangChain for a US healthcare client, building scalable AI solutions and conversational experiences.
Compensation
Competitive Pay and Benefits: enjoy a comprehensive compensation and benefits package, including health insurance, and a relocation program.
Responsibilities
Develop and enhance AI agents and orchestration capabilities using Python, LangGraph, and LangChain.
Build and extend AI-enabled guided workflows and automation capabilities.
Design, develop, and optimize conversational AI and chat-based experiences.
Implement agent planning, orchestration, memory, tool-calling, and response-generation capabilities.
Integrate AI agents and applications with enterprise systems, services, and APIs.
Requirements
Nice to have: Model Context Protocol (MCP)
Nice to have: Agent-to-Agent (A2A) communication
Nice to have: Retrieval-Augmented Generation (RAG)
Designs, develops, and deploys machine learning models and scalable data solutions to support advanced analytics and omnichannel marketing initiatives for Klick's clients.
Compensation
The base salary range for this position is between CAD $75,000 - $85,000.
Responsibilities
Design, build, and optimize data architectures, ETL pipelines, and feature engineering workflows using Python and SQL
Develop, train, evaluate, and deploy machine learning models using libraries such as scikit-learn, TensorFlow, or PyTorch
Process and analyze clickstream datasets and other large-scale data sources while maintaining and optimizing enterprise data warehouses and data lakes
Collaborate with data engineers, analysts, project managers, and client stakeholders to gather business requirements and deliver data-driven recommendations
Establish and document reproducible machine learning and data engineering workflows
Requirements
Master's degree or Ph.D. in Data Science, Machine Learning, Computer Science, Statistics, or a related quantitative discipline
Nice to have: AI enthusiasm
Nice to have: healthcare, pharmaceutical, life sciences, media, advertising, or agency environments
Nice to have: Power BI or comparable business intelligence platforms
Senior Engineer - PING with strong understanding of IAM space and experience with multiple 3rd party IAM solutions.
Compensation
$ 45-48/hr T4
Responsibilities
Strong understanding of the Identity & Access Management (IAM) space and experience with multiple 3rd party IAM solutions.
Working knowledge of industry standards & protocols including SAML, OpenID Connect, Oauth, LDAP, Kerberos, WS-Fed, etc.
Experience with technologies such as Single Sign On, MFA, Adaptive Risk-based authentication, Identity Federation, Authentication & Authorization for REST, Microservices, & SOAP, IAM integration with cloud providers like AWS/Azure/Google, Directory integration including Active Directory, LDAP, Virtual Directories, Integration with provisioning & attestation systems, Java, Javascript, Python, Unix/Linux Bash shell, regex, scripting to automate tasks, configuration changes, data collection and user provisioning, LAN/WAN/Firewall/VPN network technologies, monitoring, and support best practices.
Support operations across the United States and parts of Canada for Verra Mobility’s VCC, ensuring roadside network devices remain online and efficient.
Locations (2)
Mesa, Arizona, United States
Canada
Responsibilities
Ensure compliance with company policies and regulatory requirements
Maintain accurate and detailed records of all account documentation
Communicate effectively with advisors to resolve discrepancies
Coordinate with VCC Support teams for remote technical support and downtime reporting
Review Red-Light Camera locations and ensure equipment functionality
Requirements
Bachelor's degree in information technology, computer science or closely related field
Associate's degree in information technology, computer science or closely related field
Lead the technical, data, and project aspects of Kalepa's key applied AI initiatives, owning architecture, evaluation infrastructure, and model strategy for large-scale LLM-based systems.
Locations (2)
United States
Canada
Compensation
We differentiate our North America salary ranges using two geographical zones:
Zone 1 (New York and San Francisco) - $270,000 to $345,000*
Zone 2 (all other locations in the US and Canada) - $243,000 to $310,500*
Responsibilities
Lead technical, data, and project aspects of applied AI initiatives
Set technical direction for LLM-based systems at scale
Operations TechnicianNewVerra Mobility · Mesa, US+1 more