Develop reusable components for agent orchestration, context engineering, RAG, memory, tool use, MCP integration, multi-agent workflows, and human-in-the-loop controls. Design and build secure, maintainable, production-grade AI agents and services in Python.
Responsibilities
Develop reusable components for agent orchestration, context engineering, RAG, memory, tool use, MCP integration, multi-agent workflows, and human-in-the-loop controls.
Design and build secure, maintainable, production-grade AI agents and services in Python.
Apply AI to connected assets, telematics, embedded systems, device lifecycle management, remote services, and engineering workflows.
Create evaluation datasets, acceptance criteria, automated tests, tracing, and observability for agent behavior, retrieval quality, latency, and reliability.
Serve as Connectivity’s technical point of contact for agentic AI, establishing reference architectures and engineering practices teams can adopt consistently.
Requirements
Bachelor's or master's degree in computer science, engineering, or a related field
As a Software Engineer, you will design and build features across CSM Playbooks and customer service workflows, including case and work order management and guided agent experiences.
Responsibilities
Build high-quality, scalable, clean, and reusable applications and integration solutions using ServiceNow platform and related technologies.
Partner with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality products to our users.
Design and develop scalable, maintainable, and reusable software components with a strong emphasis on performance and reliability.
Own critical technical initiatives from planning to deployment, continuously refining and improving existing applications and services.
Explore the latest ServiceNow features and evaluate them for adoption
Requirements
Bachelor's degree in CS, software engineering, or a related technical field, or equivalent practical experience
As a Staff Software Engineer, you will design and build features across CSM Playbooks and customer service workflows, including case and work order management and guided agent experiences.
Responsibilities
Build high-quality, scalable, clean, and reusable applications and integration solutions using ServiceNow platform and related technologies.
Partner with the product owners to understand detailed requirements and own your code from design, implementation, test automation and delivery of high-quality products to our users.
Design and develop scalable, maintainable, and reusable software components with a strong emphasis on performance and reliability.
Own critical technical initiatives from planning to deployment, continuously refining and improving existing applications and services.
Explore the latest ServiceNow features and evaluate them for adoption
Requirements
Bachelor's degree in CS, software engineering, or a related technical field
Nice to have: AI Coding tools such as Claude or Codex
Lead the engineering architecture of multi-agent AI systems, bridging the gap between data scientists and backend engineers to connect internal automation APIs, AI agents, and supporting ML models into a cohesive production platform.
Responsibilities
Design, build, and maintain production multi-agent AI systems and LLM workflows using modern orchestration frameworks such as LangChain and LangGraph.
Build the APIs, tool-calling interfaces, and MCP integrations that connect internal marketing automation services with AI agents and third-party platforms.
Partner with Data Scientists to take machine learning and statistical models from prototype into reliable production, and connect them to the agents that create, launch, and optimize ads.
Design end-to-end system architectures across models, databases, and backend services, optimizing for reliability, correctness, and long-running workflows at scale.
Build evaluation pipelines, guardrails, state management, and human-in-the-loop approval workflows to ensure AI and ML systems run safely in production.
Lead the AI Agent Engineering team, turning a growing portfolio of AI use cases into reliable production systems in a player-coach role.
Locations (2)
Atlanta, Georgia, United States
Northridge, California, United States
Compensation
Salary ranges for U.S (excl. PR) locations (USD):$138,000.00 - $234,000.00
For roles located in California, Seattle WA, Washington DC, Boston MA, and New York City, the base salary range is $153,000 to $261,000 annually.
Responsibilities
Lead the team and its delivery
Build and grow the team
Run delivery
Work with product managers and the business
Represent the team
Requirements
Bachelor's degree in Computer Science, Engineering, or a related technical field
Advanced degree
Nice to have: Leading staff-level individual contributors
Nice to have: Managing a blended team of employees, contractors, and external delivery partners
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