Description
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
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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
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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