Top Legal Tech Software Engineer Jobs in Washington DC,

Build and maintain cross-platform Flutter applications for iOS and Android. Responsibilities include implementing state management, integrating RESTful APIs and external services, troubleshooting bugs, optimizing performance, reliability, security, and user experience, and managing app store deployments. The role involves collaborating in an agile team, contributing proactively to product decisions, and continuously improving mobile applications.

Leads a full-stack engineering growth pod, owning its roadmap, delivery quality, team culture, hiring and career development. The manager remains hands-on by writing and reviewing code, shaping architecture, coaching engineers, and participating in technical decisions. The team rapidly experiments with product experiences, using data-driven insights to help people discover and understand Atticus services. The role partners closely with product, design, and data science while operating in an ambiguous, resource-constrained startup environment.

Design and implement complex, accessible front-end components and a reusable design system. Architect UI solutions, prototype interactions, mentor engineers, improve design-to-development workflows, and build performant, responsive interfaces and marketing pages for a legal AI platform.

Build and operate full-stack software for legal case analysis, including interfaces, data models, document-processing workflows, retrieval and LLM-powered features. Design systems that connect claims to evidence, preserve competing interpretations, evaluate AI outputs, incorporate attorney corrections, and protect case-sensitive information. Own major features from design through launch, make architectural tradeoffs, review code, and guide technical decisions while collaborating with lawyers, founders, and engineers.

Designs, architects, and leads delivery of enterprise applications, APIs, platforms, and AI-enabled solutions. Builds agentic workflows, LLM and RAG applications, integrations, data pipelines, and full-stack services across Azure and AWS. Establishes secure engineering, testing, CI/CD, observability, and reliability practices while addressing AI safety and governance. Partners with attorneys, product owners, AI and data teams, and executives to translate complex workflows into scalable solutions, lead architecture, mentor engineers, and drive initiatives from prototype through production.

Develop and maintain custom applications, automation tools, database solutions, integrations, and low-code workflows using C#/.NET, Python, SQL, Oracle, and related technologies. Responsibilities include testing, quality control, data extraction, troubleshooting, documentation, requirements gathering, and stakeholder collaboration. The role also supports AI-enabled solutions, MCP integrations, proof-of-concept initiatives, and client-facing advisory projects.

Develops, integrates, tests, deploys, maintains, and troubleshoots enterprise software across Microsoft platforms. Translates stakeholder requirements into secure web, desktop, cloud, API, and Microsoft 365 solutions. Builds AI-enabled and generative AI applications using LLMs, supports enterprise integrations, evaluates development standards and technologies, and provides technical leadership across projects. The role also collaborates with vendors, documents systems, supports lifecycle roadmaps, and advises legal and administrative stakeholders.

Designs, develops, and supports scalable Salesforce Sales Cloud solutions for sales, operations, and customer success teams. Responsibilities include Apex, LWC, Flow, integrations, customer data management, AI-driven automation, CI/CD, release management, production troubleshooting, and technical leadership. The role requires deep Sales Cloud expertise, API integration experience, Copado, Git, SFDX, and advanced Salesforce automation skills.

Leads a team of technologists while architecting, implementing, integrating, and optimizing legal technology solutions. Responsibilities include Microsoft platform development, SaaS and AI tool integration, workflow automation, technical evaluations, dashboards, vendor management, security and data governance compliance, documentation, user adoption, and cross-functional delivery across legal and business operations.

Lead strategy and delivery for enterprise software engineering and systems integration. Set architecture and engineering standards, manage multi-team portfolios, drive CI/CD, observability, security and operational excellence, oversee budgets and vendors, and develop senior technical management to deliver scalable, secure, and maintainable solutions.