Software Engineer - AI

About the role

The role is listed as hybrid – workers in this role are expected to work from one of the listed offices on a semi-regular basis.

Responsibilities

• Design, develop, and deliver high-quality, secure, and user-centric software solutions that drive customer success and innovation.
• Collaborate cross-functionally to build scalable applications, lead projects, and mentor peers, ensuring continuous improvement in software development practices.
• Develop software focused on simplification, UX, security, and user privacy while staying updated with advancements in GenAI, deep learning, and Agentic AI technologies.
• Build advanced agentic AI applications that automate complex business processes using autonomous agents, adaptive learning models, and real-time data integration to enhance operational efficiency and drive innovation aligned with emerging industry trends.
• Leverage LangGraph, MCP integrations, vector databases, Kubernetes, and cloud infrastructure to enable autonomous agents and workflow automation.
• Full-stack experience across Angular, TypeScript, Python, FastAPI, distributed systems, and developer platform engineering.
• Collaborate with design and product management to deliver customer-centric solutions and create technical and end-user documentation.
• Lead or contribute to projects and features from design through delivery, including cloud-native, microservices, and event-driven architectures, and manage automated deployment pipelines.
• Write clean, functional code and unit tests, conduct thorough code reviews, and contribute to threat modeling and security considerations.
• Debug and resolve software issues in development and production environments, monitor production systems, lead postmortems, and perform root cause analysis.
• Serve as a technical resource and mentor, sharing knowledge across teams through presentations, blogs, and informal channels.
• Coordinate with cross-functional team members to estimate timelines, track progress, and deliver according to specifications.

Requirements

• 7+ years of experience as a software engineer in an enterprise environment.
• Familiarity with building agentic AI applications.
• Bachelor’s or master’s degree in computer science or related field.

Qualifications

• Demonstrated expertise in designing and deploying scalable, cloud-native AI solutions with a focus on security and compliance in enterprise environments.
• Proven track record to lead multi-functional initiatives that integrate agentic AI technologies to automate complex workflows, driving measurable business impact aligned with industry innovation trends.
• Advanced proficiency in optimizing software development lifecycles through automation, continuous integration/continuous deployment (CI/CD) pipelines, and agile engineering guidelines to accelerate delivery and improve product quality.

Skills

• Full-stack experience across Angular, TypeScript, Python, FastAPI, distributed systems, and developer platform engineering.
• Experience with LangGraph, MCP integrations, vector databases, Kubernetes, and cloud infrastructure.
• Knowledge of agile engineering guidelines and CI/CD pipelines.
• Experience with agentic AI technologies and their implementation in enterprise environments.
• Ability to debug and resolve software issues in development and production environments.
• Strong collaboration and mentoring skills.

Benefits

• Medical, dental, and vision insurance.
• A 401(k) plan with a Cisco matching contribution.
• Paid parental leave.
• Short and long-term disability coverage.
• Basic life insurance.

Pay

The starting salary range posted for this position is $146,700.00 to $214,800.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training.

Schedule

The role is listed as hybrid – workers in this role are expected to work from one of the listed offices on a semi-regular basis.