Software Engineer Jobs in Frisco, TX

Design, implement, test, and deploy scalable billing platform software. Contribute to system design, mentor teammates, evaluate technologies, document designs and code, and deliver high-availability solutions integrating microservices, event-driven architectures, and AI tools.

As a Senior iOS Engineer at Speechify, you'll lead engineering decisions, build and ship the iOS app, and enhance the app architecture while working in a fast-paced, remote team environment.

The Software Engineer will design, develop, and maintain backend services, focusing on APIs for payments, subscriptions, and text-to-speech functionalities. Responsibilities include overseeing the API landscape and collaborating with cross-functional teams to enhance user experiences.

The Software Engineer will enhance data ingestion pipelines, collaborate with AI scientists, and integrate new audio data sources, all within a cloud infrastructure.

The Software Developer will design, code, debug, and maintain applications, focusing on software and performance analysis, UI design, and project management.

The Fullstack Software Engineer leads the development of web applications, mentors junior engineers, and designs scalable user interfaces while collaborating with teams.

The Lead Software Engineer will manage solution delivery for retail platforms, emphasizing AI integration, Agile processes, and code quality while mentoring teams and handling client engagements.

The Senior Software Engineer will design, develop, and maintain scalable backend applications for Uber Freight's Transportation Management Platform, collaborating with cross-functional teams.

Design, execute, and maintain test plans for real-time embedded and avionics software. Create test cases, perform V&V, regression, functional and integration testing, report defects, troubleshoot systems, and collaborate with developers and product teams. Support automated testing and documentation; participate in flight/field test activities as needed.

Design, develop, and maintain automated regression and integration test frameworks and CI/CD test pipelines. Execute automated validation for distributed, embedded, and flight-critical systems, troubleshoot software/hardware/network integrations, and produce test reporting and release readiness artifacts.

The Senior Software Engineer - AI will design and implement AI solutions for legal workflows, ensure robust system architecture, collaborate with clients, and evaluate new AI techniques. Responsibilities include developing workflows and improving system observability.

As a Senior Software Engineer - AI (Legal), you will design and implement AI solutions for legal workflows, translating legal needs into technical specifications, and mentoring junior engineers at Thomson Reuters.

Lead design and delivery of enterprise-scale AI systems (including RAG and multi-agent architectures), drive AI strategy and POCs, embed solutions with business units, mentor engineers, establish MLOps/LLMOps practices, and scale prototypes into production.

Design and build full‑stack, agent‑first web applications and scalable cloud-native APIs; partner with AI Engineers to integrate models and data flows; lead architecture, mentor engineers, rapidly prototype AI interaction models, and drive cross-functional delivery.

The Senior Software Engineer will build AI-driven backend systems for accounting, develop robust services, and collaborate with cross-functional teams.

Lead hands-on delivery of retail platform solutions: design, prototype, implement, and operate cloud-native microservices. Integrate AI/agent workflows to accelerate development, drive Dual-Track Agile discovery and delivery, mentor engineers, lead client technical engagements, produce design artifacts (ADRs, APIs, data models), ensure non-functional requirements, and take accountability for post-release support and operational readiness.

Design, build, and support cloud-native applications and platform services to modernize enterprise platforms, improve developer productivity, automate engineering workflows, and apply AI-assisted tools to enhance software development and operations. Participate across the SDLC, implement secure scalable APIs, troubleshoot production issues, and collaborate with architects, SREs, and business partners on DevSecOps and applied AI initiatives.

Lead the development of backend services and APIs for AI-driven products, collaborate with cross-functional teams, and oversee complex projects. Focus on building scalable systems while contributing to the frontend when necessary.

The Senior Engineer will design, develop, and support scalable Oracle EPM planning solutions and collaborate with FP&A and data teams to enhance financial planning capabilities.

Lead backend engineer to design, build, and re-architect GEICO's billing platform (billing engine, invoicing, payments, collections, commissions, CRM/subscriptions). Own system design, quality, performance, and scalability; provide technical guidance across billing teams, identify and mitigate risks, collaborate with product/design, and mentor engineers.

Designs and implements Salesforce-based solutions for T-Mobile for Business, building integrations, UI components (LWC/Aura), CPQ customizations, and APIs. Participates in architecture, performance optimization, mentoring, cross-functional collaboration, and continuous improvement of software and automation.

The Senior Software Engineer will enhance Speechify's product via foundational services and SDKs, leveraging systems thinking, collaboration, and optimization skills primarily in Kotlin on GCP.

Lead Backend Software Engineer responsible for designing and maintaining large-scale applications and distributed systems, focusing on GEICO's core billing platform's scalability and efficiency.

The Lead Software Engineer, AI will design and implement AI-driven systems, mentor engineers, drive technical strategy, and ensure compliance with quality and ethical standards.

Lead backend and AI orchestration systems for CoCounsel Audit: design and operate scalable, low-latency AI workflows, integrate LLMs and retrieval systems, mentor engineers, set platform strategy, and ensure reliability, observability, and auditability at production scale.