Software Engineer Jobs in Frisco, TX

Participate in an 11-week paid internship supporting cloud security across AWS, Azure, and GCP. Develop Python and Terraform automation, monitor cloud environments, identify vulnerabilities and misconfigurations, support remediation, improve security controls and compliance reporting, and collaborate with Cloud Engineering and Cybersecurity teams.

Develop and maintain scalable Android features for T-Mobile’s T-Life app using Kotlin and modern Android frameworks. Responsibilities include Jetpack Compose development, modular architecture, API integration, testing, performance optimization, CI/CD participation, security compliance, technical documentation, and collaboration with cross-functional teams. The role also involves mentoring engineers, supporting large mobile initiatives, and contributing to AI-enabled application features.

Design, develop, and deploy scalable microservices and event-driven systems for T-Mobile’s business order management platform. Manage Azure cloud infrastructure, build high-performance REST APIs, integrate backend systems, optimize order processing, and support subscription lifecycle workflows. Conduct code reviews, performance tuning, issue resolution, and technical writing while mentoring distributed engineering teams and collaborating cross-functionally.

Build and ship AI agentic features for legal professionals, developing Python, FastAPI, and PostgreSQL backend services, LLM orchestration, cloud-native workflows, observability, testing, and CI/CD automation. The role involves debugging production systems, collaborating cross-functionally, and contributing to scalable AI-powered products. Engineers will primarily focus on backend development while gaining opportunities in frontend technologies and full-stack development.

As a Software Engineer - AI, you will design, develop, and deploy AI solutions for legal applications, working with clients and technical teams to enhance legal workflows and improve AI outputs.

Lead the technical direction and delivery of AI-powered legal products. Design scalable backend services and agentic systems using Python, FastAPI, PostgreSQL, cloud services, LLM providers, orchestration, streaming, observability, and CI/CD. Architect service boundaries, mentor engineers, evaluate emerging AI technologies, and productionize reliable, secure AI capabilities. Partner with product, design, Labs, and engineering leaders to transform early concepts into enterprise-ready features.

Build and own scalable React and TypeScript front-end architecture for AI-powered legal products. Develop resilient streaming interfaces using SSE and agent-UI protocols, productionize AI capabilities, maintain CI/CD pipelines, run deployments and testing, improve observability, collaborate with product and design teams, and mentor engineers through reviews, documentation, and shared components.

Build scalable backend services for AI agentic products using Python, FastAPI, PostgreSQL, and cloud services. Design platform architecture, integrate LLM providers, implement orchestration, routing, guardrails, telemetry, and observability, and strengthen CI/CD and DevOps automation. Collaborate with product and design teams to productionize AI capabilities, mentor engineers, and deliver reliable legal technology products.

Lead architecture and development of high-throughput document-processing services, primarily in Rust with C#/.NET support. Design distributed, highly available queue-driven systems; optimize performance, memory, concurrency, and reliability; evolve APIs and schemas safely; and operate services in production. Lead complex projects, mentor engineers, write technical designs, evaluate AI coding agents, collaborate across teams, and participate in on-call and incident response.

Architects and ships production AI agent systems, including multi-component pipelines, tool integrations, orchestration infrastructure, observability, evaluations, and reliability practices. The role owns complex systems end-to-end, contributes to technical architecture and progressive delivery, collaborates across product and engineering, and mentors engineers. It requires strong backend, distributed systems, cloud infrastructure, LLM, and agentic development experience.

Design and lead enterprise AI systems using generative AI, RAG, knowledge graphs, and autonomous agents. Define technical strategy, evaluate emerging AI technologies, and guide architecture and roadmaps. Mentor engineers, champion MLOps and LLMOps governance, and ensure security, testing, monitoring, and observability. Collaborate with research, engineering, design, and product teams to deliver scalable customer-facing solutions while optimizing latency, cost, and user experience.

Designs and leads enterprise AI systems for legal research, including RAG pipelines, knowledge graphs, autonomous agents, and AI platforms. Provides technical strategy, architecture, mentoring, governance, testing, observability, and operational leadership. Partners with research, engineering, design, and product teams to launch scalable, secure AI products. Requires hands-on software engineering expertise in generative AI, cloud-native systems, APIs, distributed systems, and production AI deployments.

Leads the architecture, development, evaluation, deployment, and scaling of enterprise AI systems, including RAG pipelines, autonomous agents, and LLM-powered applications. Establishes AI engineering standards, guides technical strategy, evaluates emerging techniques, and partners with research, product, design, and executive teams. Drives proof-of-concept initiatives into production, mentors engineers, supports AI product strategy, and represents the organization through technical leadership and industry engagement.

Provides technical leadership for cloud cost management and reporting platforms. Designs scalable software, APIs, data pipelines, and analytics solutions; establishes engineering standards; leads modernization, automation, security, observability, and CI/CD practices; and drives cross-functional initiatives. The role partners with product, FinOps, cloud platform, and business teams, mentors engineers, leads design reviews, and transforms cloud and AI cost data into actionable insights.

Leads the design, development, and operation of scalable enterprise software using C#, .NET, APIs, microservices, cloud-native architecture, and Angular. Owns technical design, architecture reviews, testing strategies, CI/CD, security, observability, and performance. Collaborates with product, architecture, UX, security, and operations teams while mentoring engineers and driving engineering excellence. The role modernizes applications, builds customer-facing platforms, and leverages AI-assisted development tools.

Design, build, and deploy production-grade legal AI solutions by translating legal user needs into robust software. Collaborate with AI engineers, apply prompt/LLM evaluation, use DevOps and Infrastructure-as-Code, practice TDD, mentor junior engineers, lead agile projects, and deliver end-to-end solutions for law firms and legal departments.

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.

Sets technical direction for APIs that provide governed access to legal content for AI agents. Owns API architecture, retrieval and search design, MCP integrations, evaluation frameworks, reliability, observability, security, and platform governance. Leads cross-team architecture decisions, mentors engineers, manages operational responsibilities, and establishes AI-assisted, spec-driven development practices for a multi-team internal platform.

The Lead Software Development Engineer will develop complex SaaS systems, mentor junior members, and drive design decisions while collaborating with teams on software development and application design.

Develop and maintain full-stack .NET applications and REST APIs while modernizing a legacy tax-compliance platform into scalable, resilient AWS cloud-native microservices. Design software using object-oriented principles, SOLID, DDD, and sound database practices. Collaborate within Agile/Scrum teams, write automated tests, support CI/CD releases, build proof-of-concepts, and work across legacy and modern systems. The role requires strong communication, ownership, adaptability, and effective collaboration with distributed engineering and quality teams.

Build and deliver production backend, platform, and AI capabilities using C#/.NET and Python. Develop distributed systems, LLM applications, AI agents, retrieval workflows, MCP servers, document understanding, and scalable AI infrastructure. Provide hands-on Staff-level technical leadership through architecture, coding, technical direction, mentoring, deployment, reliability, safety controls, and production operations.

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.

Lead design and implementation of enterprise-scale AI systems including RAG architectures and autonomous agents; lead full-stack development across AI orchestration, APIs, microservices and web UIs; set technical strategy, mentor engineers, champion MLOps/LLMOps, ensure security/ethical compliance, and collaborate cross-functionally to deliver scalable AI products.

Develops and maintains iOS features within an agile squad using modern software engineering practices. Responsibilities include implementing quality software, participating in code reviews and communities of practice, documenting technical knowledge, researching customer issues, following accessibility and development standards, and managing software-related risks. The role requires strong problem-solving abilities and experience with Swift, iOS APIs, testing, version control, and object-oriented design.

Lead complex customer engagements from discovery through production delivery by architecting, building, and deploying AI solutions. Write and review production code, guide senior engineers, make architecture and deployment decisions, and translate customer-specific learnings into scalable CoCounsel product capabilities. The role requires hands-on expertise in generative AI, LLM systems, enterprise integrations, distributed systems, cloud architecture, security, reliability, and production operations, along with strong technical leadership and customer communication.