Job Category

Software Engineering

Job Details

About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

We build internal platforms and intelligent systems that power Salesforce demo experiences across products and industries. Our focus is evolving from traditional tooling to AI-driven platforms-embedding agents, automation, and intelligence into how demos are created, configured, and delivered.

This is not a traditional feature team. We build platforms, abstractions, and AI capabilities that other teams depend on.

What You'll Do

As a Member of Technical Staff (MTS), you'll contribute to building and evolving AI-powered internal platforms used daily across the org.
You will:

Design and build full-stack applications (frontend + backend) for internal AI-powered tools
Develop and maintain scalable backend services, APIs, and microservices
Build and integrate LLM-powered agents into internal workflows (automation, orchestration, task execution)
Design and implement reusable skills/tools that agents can invoke to interact with internal systems
Build Slack-based tools, bots, and AI-driven workflows for self-service and automation
Implement retrieval-augmented systems (RAG), embeddings, and context-aware data pipelines
Work across frontend (Angular, Vue, React or similar) and backend (Node.js/Python) to deliver end-to-end experiences
Write clean, maintainable, and scalable code with strong focus on reliability and observability
Participate in design discussions, code reviews, and technical decision-making
Partner closely with product managers, designers, and engineers to ship impactful solutions
Continuously evaluate and improve system performance, cost, and developer experience

What We're Looking For

4-6 years of professional software development experience
Strong fundamentals in software engineering, system design, and distributed systems
Proficiency in JavaScript/TypeScript and modern backend frameworks (Node.js preferred)
Working knowledge of Python for AI/ML integrations
Experience building and consuming RESTful APIs and microservices
Experience with modern frontend frameworks (React, Angular, Vue, or similar)
Hands-on experience integrating LLM APIs and building AI-assisted features
Understanding of agentic patterns (tool use, orchestration, prompt design, structured outputs)
Familiarity with data handling for AI systems (structured/unstructured data, APIs, storage)
Strong understanding of version control (Git) and collaborative workflows
Ability to take ownership from design through production in ambiguous environments

Nice to Have

Experience with agent frameworks such as LangChain or AutoGPT
Experience with vector databases such as Pinecone or Weaviate
Experience building RAG pipelines and context-aware AI systems
Familiarity with Slack APIs, bots, and conversational interfaces
Experience working with Salesforce platforms (Sales, Service, Experience Cloud, Data Cloud, Agentforce)
Experience building internal developer platforms or enablement tooling
Awareness of AI system risks (prompt injection, data leakage, reliability issues)

Why This Role Matters

This role sits at the intersection of platform engineering and applied AI. The systems you build will define how Salesforce teams leverage AI to create, customize, and deliver demos at scale.
You are not just building tools-you are building the intelligence layer that powers how demos are generated, orchestrated, and experienced across the organization.

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, and our AI agents accelerate your impact so you can. 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.

Accommodations

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

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 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.

Posting 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. 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.

Software Engineering MTS (Full Stack) - AI Generalist (Demo Tools & Platform Engineering)