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

Salesforce, Inc.; Hyderabad; On-site; INR 2,400,000 - 4,000,000; Full time

Job summary

Salesforce, Inc. in Hyderabad, India, is seeking a Member of Technical Staff (MTS) to design and build full-stack applications for internal AI-powered tools.

You’ll develop scalable backend services, APIs, and microservices, and integrate LLM-powered agents into internal workflows, while crafting reusable skills and Slack-based automation. You will work across frontend and backend with JavaScript/TypeScript, Node.js, and Python, collaborating with product managers and engineers to deliver

Qualifications

• 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.

Responsibilities

• 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.

Skills

JavaScript/TypeScript

Node.js

Python

RESTful APIs

Frontend frameworks

LLM integration

Distributed systems

Git

Ownership & accountability

Tools

LangChain

AutoGPT

Pinecone/Weaviate

Salesforce platforms

Job description

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.

• 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 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.

Accommodations

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

Posting Statement

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