Top Legal Tech Software Engineer Jobs in Washington DC,

Design, build, and maintain the firm's intranet and automated workflows using SharePoint Online, Power Platform, Exchange Online and related Microsoft 365 technologies. Architect secure, scalable persona-based digital experiences, develop automation and templates, implement SPFx/React solutions, integrate REST APIs, support governance, documentation, analytics with Power BI, and drive user adoption and continuous improvement.

The PostgreSQL Database Developer will migrate from Oracle to PostgreSQL, manage database environments, ensure performance, and monitor systems proactively.

Build and architect AI-powered software features that analyze contracts and fund documents, extract structured data, and automate legal workflows. Set technical direction, drive ambiguous initiatives from conception through production, improve engineering quality and tooling, and collaborate with product and design. Evaluate LLM systems, assess failure modes, and make strategic decisions about AI applications while mentoring and elevating other engineers.

Leads engineering strategy, architecture, delivery, and organizational development for Agiloft’s Contract Intelligence portfolio. Oversees Astra Agents, Contract Intelligence Graph, shared cloud-native platforms, APIs, IAM, AI assistants, and integrations. Partners with Product, Design, Applied AI, and Operations to deliver secure, scalable, reliable customer-facing systems. Manages distributed engineering teams, develops leaders, establishes operational metrics, guides responsible AI practices, and remains hands-on in architecture, code reviews, and technical decisions.

Build and maintain native Android and iOS systems, ensuring cross-platform consistency. Contribute across web services, databases, testing, deployment, and production support. Collaborate with development teams, follow and improve engineering patterns, and use AI-assisted development tools. The role requires mobile development experience, REST API knowledge, Kotlin, Java, Swift, Android Studio, Xcode, Git, agile practices, and 3–5 years of professional experience.

Design, build, and scale Shepherd’s core platform, backend systems, APIs, user-facing applications, and AI-powered legal workflows. Architect secure, reliable infrastructure for sensitive legal data, collaborate with legal and product teams, build internal tools, optimize performance, and own technical decisions. The role also involves rapid prototyping, mentoring and recruiting engineers, and contributing to SOC 2 readiness and data privacy practices.

Leads Magna’s software engineering organization across multiple products and business lines. Oversees engineering managers, QA, DevOps/SRE, and architecture leaders while owning organizational development, delivery execution, modernization, quality, security, and operational reliability. Partners with executives and cross-functional teams to translate priorities into roadmaps and measurable outcomes. Guides AI-enabled product development, including responsible deployment of large-language-model capabilities, and supports integration of acquired platforms. This remote U.S. role requires approximately 10% travel to Philadelphia-area offices.

Design, develop, and maintain scalable web services for a B2B SaaS application. Write tested code primarily in Go, manage PostgreSQL schemas and queries, and research AI-powered tools for software development and CI/CD optimization. Collaborate with product, design, and engineering teams to deliver user-focused solutions. Mentor engineers, promote best practices, and contribute to technical excellence.

Senior backend engineer responsible for designing and implementing new features, scaling and optimizing the platform, improving Postgres and Elasticsearch performance, fine-tuning LLMs, and making architectural decisions. Collaborate with engineering team, take ownership of features, write performant, maintainable code, and help shape product and infrastructure for data-intensive applications (NLP, search, indexing).

Leads a hands-on software engineering organization developing AI-enabled legal automation platforms. Responsibilities include setting technical direction, reviewing architecture and code, owning delivery and platform reliability, managing distributed teams, translating legal workflow requirements into scalable systems, and partnering with product, legal operations, executives, vendors, and clients. The role requires oversight of multi-tenant security, AI capabilities, Agile delivery, hiring, mentoring, and engineering quality.