Full Stack Software Engineer – AI-Native Engineering

Salesforce.com, inc.; Dallas, Northern (TX, KY); On-site; USD 120,000 - 180,000; Full time

Job summary

Salesforce.com, inc. is seeking a sharp Full Stack Software Engineer to build end-to-end AI-powered features on the Salesforce platform. The role emphasizes engineering excellence, clean architecture, and rapid delivery using AI tooling like Cursor, Claude Code, Codex, and Copilot.

You will work across frontend, backend, APIs, data, and integrations, contributing to CI/CD, testing, and agile ceremonies. Salesforce experience is a plus; strong core engineering skills can ramp you quickly in the

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related technical discipline.
• 4+ years of professional full-stack software engineering experience across frontend, backend, APIs, and data.
• Hands-on experience with AI-assisted coding tools such as Cursor, Claude Code, Codex, GitHub Copilot.
• Solid grounding in software design patterns, SDLC, Agile, Git, and CI/CD practices.
• Strong analytical and problem-solving skills with ability to design scalable solutions.
• Excellent communication and cross-functional collaboration skills.

Responsibilities

• Design, build, and ship full-stack features end-to-end — UI, APIs, business logic, data models, and integrations.
• Develop modern frontend experiences and robust backend services with clean architecture.
• Use AI-assisted development tools throughout the SDLC while maintaining engineering rigor.
• Design and implement integrations using REST APIs and event-driven patterns.
• Work with Salesforce components when applicable (LWC, Apex, SOQL/SOSL, Flows).
• Explore AI-powered features and agentive workflows with governance and human-in-the-loop checks.
• Own features through design, development, testing, deployment, and production support.
• Contribute to CI/CD, automated testing, code reviews, and Agile ceremonies.

Skills

Full-Stack Development

AI Tools

Frontend & Backend

AI-assisted coding tools

Salesforce platform

REST APIs

Software design patterns

Testing & CI/CD

Education

Bachelor's degree in Computer Science

Tools

Salesforce LWC

Apex

SOQL/SOSL

MuleSoft

GitHub Copilot

Job description

Full Stack Software Engineer – AI-Native Engineering

The Digital Enterprise Technology – Legal, Risk & Compliance (LRC) Application Development team is looking for a sharp, curious Full Stack Software Engineer who loves building great software and building it fast with modern AI tooling. This role is first and foremost about engineering excellence: strong fundamentals, clean architecture, and the ability to ship end-to-end features across the stack.
We're looking for someone who treats AI coding assistants as a core part of the craft, not a side skill — using tools like Cursor, Claude Code, and Codex daily to move faster, explore designs, and raise code quality. You'll work across the full stack — frontend, backend, APIs, data, and integrations — with Salesforce as the primary building platform. Salesforce experience is a plus, not a must-have — we'll get you ramped quickly if you bring strong core engineering skills.

Key Responsibilities

• Design, build, and ship full-stack features end-to-end — UI, APIs, business logic, data models, and integrations — with a strong bias for clean, maintainable, well-tested code.
• Build modern frontend experiences (component-based UI, responsive design) and robust backend services and APIs, applying solid object-oriented and software design principles.
• Use AI-assisted development tools — Cursor, Claude Code, Codex, GitHub Copilot, or similar — throughout the SDLC: scaffolding, refactoring, test generation, debugging, and code review, while maintaining engineering rigor over AI-generated output.
• Design and implement integrations using REST APIs, event-driven patterns, and enterprise integration practices.
• Where the work runs on Salesforce, develop using Lightning Web Components (LWC), Apex, SOQL/SOSL, Flows, and the platform's security model — with support to ramp up if you're new to the platform.
• Explore and build agentic and AI-powered features (e.g., Agentforce, workflow automation, AI agents) that bring real automation and intelligence into business processes, with appropriate governance and human-in-the-loop checks.
• Own features through the full lifecycle: solution design, development, testing, deployment, and production support.
• Contribute to CI/CD, automated testing, code reviews, and Agile ceremonies; and raise the bar on engineering practices across the team.

Required Qualifications & Experience

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical discipline.
• 4+ years of professional full-stack software engineering experience — strong fundamentals across frontend, backend, APIs, and data.
• Hands-on, daily experience using AI-assisted coding tools such as Cursor, Claude Code, Codex, GitHub Copilot, or similar — able to write precise prompts and critically evaluate AI-generated code for correctness, security, and performance.
• Solid grounding in software design patterns, SDLC, 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.

Preferred Skills & Qualifications

• Experience developing on the Salesforce platform (Apex, Lightning Web Components, SOQL/SOSL, Salesforce Flows, platform security model) — a strong plus.
• Exposure to Agentforce, Data Cloud, Einstein AI, or other AI-agent/workflow-orchestration platforms.
• Experience with enterprise integration tools (MuleSoft, Platform Events, Named Credentials) or event-driven architectures.
• Salesforce Platform Developer I/II certification, or equivalent industry certifications.
• Familiarity with cloud platforms (AWS, Azure, or GCP), containerization, and observability/engineering productivity metrics.
• Experience shipping a production AI-powered feature (e.g., agentic workflows, RAG, LLM-backed UI) — one of the strongest signals we look for.

What Makes You Successful

• A true engineer at heart: someone who can reason about architecture, write clean code, and diagnose hard bugs — with or without AI in the loop.
• Genuinely AI-native: you reach for Cursor, Claude Code, or Codex by default, and use them to build fluency across the stack, not just in your specialty.
• Curious and adaptable — comfortable picking up new platforms (including Salesforce, Mulesoft) quickly when the work calls for it.
• Ownership mindset: you drive features to done, care about quality, and elevate the engineers around you.
• Excited about applying AI meaningfully to real business problems — automation, decision support, and smarter workflows .

In the United States, compensation offered will be determined by factors such as location, job level, job-related knowledge, skills, and experience. Certain roles may be eligible for incentive compensation, equity, and benefits. Salesforce offers a variety of benefits to help you live well including: time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program. More details about company benefits can be found at the following link: https://www.salesforcebenefits.com.

Unleash Your Potential

When you join Salesforce, you'll be limitless in all areas of your life. Our benefits and resources support you to find balance and be your best, and our AI agents accelerate your impact so you can do your best. Together, we'll bring the power of Agentforce to organizations of all sizes and deliver amazing experiences that customers love. Apply today to not only shape the future — but to redefine what's possible — for yourself, for AI, and the world.

At Salesforce, we strive to create an accessible and inclusive experience for all candidates.

If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodation Request Form .

Please note that Salesforce uses artificial intelligence (AI) tools to help our recruiters assess and evaluate candidates' resumes and qualifications throughout the recruiting process. Humans will always make any candidate selection and hiring decisions. Please see our Candidate Privacy Statement for more information about how we use your personal data and your rights, including with regard to use of AI tools and opt out options.

Equal Opportunity Statement.

Salesforce is an equal opportunity employer and maintains a policy of non-discrimination with all employees and applicants for employment. What does that mean exactly? It means that at Salesforce, we believe in equality for all. And we believe we can lead the path to equality in part by creating a workplace that's inclusive, and free from discrimination. Know your rights: workplace discrimination is illegal . Any employee or potential employee will be assessed on the basis of merit, competence and qualifications - without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law. This policy applies to current and prospective employees, no matter where they are in their Salesforce employment journey. It also applies to recruiting, hiring, job assignment, compensation, promotion, benefits, training, assessment of job performance, discipline, termination, and everything in between. Recruiting, hiring, and promotion decisions at Salesforce are fair and based on merit. The same goes for compensation, benefits, promotions, transfers, reduction in workforce, recall, training, and education.

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