Software Engineer, Full Stack & AI-Native Development (MTS)

Salesforce•Dallas, TX

About The Position

The Digital Enterprise Technology – Legal, Risk & Compliance (LRC) Application Development team is seeking a curious Full Stack Software Engineer focused on engineering excellence, clean architecture, and delivering end-to-end features across the stack. The role uses modern AI coding assistants as a regular part of software development to accelerate delivery and improve code quality. Salesforce is the primary building platform, but Salesforce experience is not required; engineers with strong software fundamentals can ramp up on the platform.

Requirements

Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical discipline.
At least 4 years of professional full-stack software engineering experience, with strong fundamentals across frontend, backend, APIs, and data.
Proficiency in modern frontend technologies, including JavaScript or TypeScript, HTML, CSS, and modern frameworks.
Backend development experience, including object-oriented programming, RESTful API design, databases and SQL, and data modeling.
Daily hands-on experience with AI-assisted coding tools such as Cursor, Claude Code, Codex, GitHub Copilot, or similar, including the ability to write precise prompts and evaluate generated code for correctness, security, and performance.
Knowledge of software design patterns, the software development lifecycle, Agile methodologies, Git, and CI/CD practices.
Strong analytical and problem-solving skills, with the ability to independently design and deliver scalable technical solutions.
Excellent communication and cross-functional collaboration skills.

Nice To Haves

Experience developing on the Salesforce platform, including Apex, Lightning Web Components, SOQL/SOSL, Salesforce Flows, and the platform security model.
Exposure to Agentforce, Data Cloud, Einstein AI, or other AI-agent or workflow-orchestration platforms.
Experience with enterprise integration tools such as MuleSoft, Platform Events, or Named Credentials, or with event-driven architectures.
Salesforce Platform Developer I or II certification, or equivalent industry certifications.
Familiarity with AWS, Azure, or GCP, containerization, and observability or engineering productivity metrics.
Experience shipping a production AI-powered feature, such as agentic workflows, RAG, or an LLM-backed user interface.

Responsibilities

Design, build, test, and ship full-stack features across user interfaces, APIs, business logic, data models, and integrations.
Build component-based, responsive frontend experiences and robust backend services and APIs using sound object-oriented and software design principles.
Use AI-assisted development tools throughout the software development lifecycle for scaffolding, refactoring, test generation, debugging, and code review, while rigorously evaluating AI-generated output.
Design and implement integrations using REST APIs, event-driven patterns, and enterprise integration practices.
Develop Salesforce solutions using Lightning Web Components (LWC), Apex, SOQL/SOSL, Flows, and the platform security model where applicable.
Explore and build agentic and AI-powered features, such as Agentforce, workflow automation, and AI agents, with appropriate governance and human-in-the-loop checks.
Own features through solution design, development, testing, deployment, and production support.
Contribute to CI/CD, automated testing, code reviews, and Agile ceremonies, and help improve the team's engineering practices.