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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.

Software Engineering – MTS (AI Agent Platform)

About Salesforce

We’re Salesforce, the Customer Company, inspiring the future of business with AI + Data + CRM. Guided by our core values, we help companies across every industry connect with customers in new ways, while empowering our employees to grow their careers, build meaningful products, and make a positive impact on the world.

As part of our AI platform initiatives, we are investing in AI agent–based systems that combine strong software engineering foundations with modern AI capabilities. We are looking for engineers who approach AI agents as production software systems, built with the same rigor as any large-scale backend platform.

This role is based in Hyderabad and follows a hybrid work model, with an expectation of working from the office approximately 2-3 days per week.

Role Overview

We are looking for a Member of Technical Staff (MTS) to join our AI Agent engineering team. This role is ideal for a software engineer with a solid backend foundation who has gained hands-on experience building AI agents and is ready to grow further in a production, enterprise-scale environment.

As an MTS engineer, you will:

• Own well-scoped components and services

• Contribute to the implementation and evolution of AI agents

• Participate in technical design discussions with guidance from senior engineers

• Deliver high-quality code while continuing to build depth in system and agent design

This role is hands-on and engineering-focused, with opportunities to contribute to architecture while remaining primarily execution-oriented.

Responsibilities

• Design, build, and maintain backend services and AI agents under the guidance of senior engineers

• Implement AI agents that interact with tools, APIs, and services to perform multi-step workflows

• Contribute to the design and evolution of agent workflows, interfaces, and supporting services

• Write clean, maintainable, and testable code following established engineering best practices

• Build and maintain microservices that support agent execution, orchestration, and integrations

• Integrate services with internal and external systems using well-defined APIs

• Participate in code reviews, design reviews, and team technical discussions

• Improve service reliability through logging, monitoring, and structured error handling

• Work closely with product managers, QA, and infrastructure teams in Agile development cycles

Required Skills

Core Software Engineering

• 3–6 years of professional software engineering experience

• Demonstrated experience building and maintaining production backend services

• Proficiency in one or more programming languages: TypeScript / Node.js (preferred), Java, Python, or Go

• Strong understanding of software engineering fundamentals:

  • Modular design and separation of concerns

  • API-driven development

  • Error handling and fault tolerance

• Experience writing unit and integration tests

• Proficiency with Git and standard code review workflows

• Experience working in Agile development environments

AI Agent Experience

• Hands-on experience building AI agents as part of real applications or platforms

• Experience with at least one AI agent framework such as: LangChain or LangGraph, AutoGen, CrewAI, Semantic Kernel Or equivalent internal/custom agent frameworks

• Working knowledge of:

  • Tool or function calling

  • Multi-step agent workflows

  • Managing agent state and memory

  • Handling failures and non-deterministic behavior in agent execution

Infrastructure & Platform Skills

• Experience deploying and operating services in a cloud environment (AWS, GCP, or Azure)

• Familiarity with Docker and container-based development

• Basic working knowledge of Kubernetes concepts

• Experience developing or consuming RESTful and/or gRPC APIs

• Working knowledge of Linux/Unix systems

• Exposure to monitoring and logging tools for debugging production systems

Desired Skills

• Experience contributing to platform or shared infrastructure components

• Familiarity with vector databases or retrieval-augmented generation (RAG) patterns

• Exposure to observability concepts for distributed or AI-driven systems

• Experience working on automation, internal tooling, or developer productivity initiatives

• Interest in system design and growing architectural skills over time

• Strong written and verbal communication skills, with an emphasis on collaboration and documentation

What This Role Is NOT

• Not a pure research or experimentation role

• Not a chatbot-only or prompt-engineering-only role

• Not suitable for someone without real software engineering experience

• Not for someone looking to “learn agents from scratch”

Why Join Us

• Work on real AI agents running in production

• Learn from and contribute to a growing agent platform

• Balance hands-on engineering with architectural exposure

• Be part of an early but serious AI agent initiative

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.

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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. 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.