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

Overview

Software Engineering MTS full-stack role focused on building and evolving AI-powered internal platform tools for Salesforce demo experiences.

What you'll do

• Design and build full-stack applications for internal AI-powered tools.
• Develop and maintain scalable backend services, APIs, and microservices.
• Build agent workflows by integrating LLM-powered agents into internal use cases.
• Implement reusable agent “skills”/tools to interact with internal systems.
• Build Slack-based tools, bots, and AI-driven automation/self-service workflows.
• Implement retrieval-augmented systems (RAG) including embeddings and context-aware data pipelines.

What you'll need

• 4–6 years of professional software development experience.
• Strong fundamentals in software engineering, system design, and distributed systems.
• Proficiency in JavaScript/TypeScript; Node.js preferred for backend frameworks.
• Working knowledge of Python for AI/ML integrations.
• Experience building and consuming RESTful APIs and microservices.
• Experience with modern frontend frameworks (React, Angular, or Vue).

Nice to have

• Experience with agent frameworks such as LangChain or AutoGPT.
• Experience with vector databases such as Pinecone or Weaviate.
• Familiarity with Slack APIs, bots, and conversational interfaces.
• Experience working with Salesforce platforms (Sales, Service, Experience Cloud, Data Cloud, Agentforce).

Details

• Location: Hyderabad, India.