Software Engineer Jobs in Frisco, TX

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.

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.

As a Senior Software Engineer, Full Stack, you will build backend services and APIs for a document analysis platform, focusing on server-side architecture and data processing, while also contributing to frontend features as needed.

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.

Design and implement software within an agile squad; provide technical leadership; build test-driven, maintainable code; define system architectures; collaborate with operations; ensure compliance, documentation, and risk controls; and support problem resolution and service improvement.

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.

Designs, builds, and deploys production-grade AI applications and services for enterprise customers. Responsibilities include customer discovery, AI architecture, software development, APIs, integrations, deployment, observability, evaluation, MLOps/LLMOps, security, governance, and production support. The role also develops reusable frameworks, participates in design reviews, mentors engineers, and leads solutions across the full lifecycle from problem discovery through deployment.

Leads hands-on software development and end-to-end delivery for retail platforms. Builds prototypes and production features, designs cloud-native integrations, conducts code reviews, supports client engagements, and drives Dual-Track Agile discovery and delivery. Uses generative AI and agentic workflows throughout the software lifecycle, mentors engineers, manages technical trade-offs and risks, and owns delivery sign-off and post-release support.

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

Build and productionize AI-powered backend services for CoCounsel International using Python, FastAPI, PostgreSQL, AWS, and modern LLM providers. Design scalable platform architecture, agentic workflows, orchestration, routing, guardrails, telemetry, and observability. Collaborate with Labs, product, and design teams to turn early AI concepts into reliable customer-facing features, while mentoring engineers and supporting performance optimization and operational robustness.

Own the design, development, deployment, scaling, and operation of a distributed customer-file orchestration service. Build reliable multi-stage pipelines handling uploads, extraction, embeddings, indexing, queues, retries, backpressure, autoscaling, and API contracts. Lead incident response and on-call operations, improve observability and automation, make consistency and delivery-guarantee decisions, and mentor engineers while collaborating across storage, extraction, indexing, connector, and frontend teams.

Lead architecture and implementation of AI-first backend and orchestration systems for Audit Suite. Drive scalable, reliable AI workflows (LLM integration, retrieval, vector stores), mentor engineers, set technical direction, and collaborate across product, design, and ML to deliver auditable, high-throughput document-centric solutions.

Lead architecture and delivery of production AI agent systems: design agent infrastructure, observability, evaluation, progressive rollout, and reliability. Provide hands-on technical leadership, mentor senior engineers, drive RFCs/ADRs, and partner with product to sequence strategic platform work.

Lead the technical architecture and hands-on implementation of a cross-platform desktop app for Windows and macOS. Make framework, packaging, IPC, and auto-update decisions; implement core features (file integrations, notifications, clipboard, system tray); integrate with backend agent and AI services (streaming, auth); define engineering standards, testing, and performance benchmarks; and mentor/join a greenfield desktop engineering team while partnering with Product and Design.

The Principal Engineer will design scalable backend services and APIs, optimize performance, and improve developer experience while collaborating with AI/ML experts and legal specialists.

As a Lead Software Engineer, you will design AI-driven backend systems for accounting, integrating LLMs, ensuring performance and security, and collaborating with teams on AI solutions.