Software Engineering SMTS

Description

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts.

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.

The Experience

Agents and AI are fast evolving technologies. The Agentic Selling Team within Digital Experience Technology is building production AI agents that transform how Salesforce's global sales organization operates. As Customer Zero for Agentforce, we pioneer agent development patterns that influence product strategy and define enterprise AI standards. We are looking for a Senior Software Engineer who thrives in a fast-paced environment, delivers high-quality solutions independently, and drives technical excellence. You will architect and build sophisticated agent systems using Agentforce, Agent Script, and New Graph Architecture while integrating with Salesforce CRM, Data Cloud, and external platforms.

What You’ll Actually Be Doing

Design and build sophisticated agent architectures using Agentforce Builder, Agent Script, and NGA for production systems serving 15,000+ users

Architect multi-node agent orchestration, sub-agent patterns, and agentic workflows for complex sales use cases.

Lead implementation of agent memory systems, context management, and conversation state handling for personalized experiences

Develop and optimize RAG patterns, retrieval strategies, and prompt engineering techniques to improve agent quality and accuracy

Build scalable integrations connecting agents to Salesforce Data Cloud, Einstein, MuleSoft, and external APIs and MCP.

Design and implement content ingestion pipelines processing structured and unstructured data (PDFs, web content, documents) for agent knowledge bases

Drive platform migrations (e.g., Graph to Agent Script, legacy to NGA) while maintaining zero downtime for production systems

Implement agent observability, monitoring, and debugging capabilities to track conversation quality and user satisfaction

Mentor junior engineers through code reviews, technical guidance, and knowledge sharing

Make critical technical decisions on agent design patterns, performance optimization, and scalability

Work in an Agentic Agile engineering model leading design discussions, implementation, and delivery of major features

Participate in architecture reviews and contribute to technical roadmap planning

Lead UAT efforts, production deployments, and maintain high availability standards through bi-weekly release cycles

You’re Our Person If…

6+ years of development experience as a software engineer with demonstrated growth in technical complexity and scope

Strong experience with backend development in Java, Python, or at least one object-oriented compiled, statically-typed language (C++, C)

Deep knowledge of AI/ML frameworks and hands-on experience working with large language models (e.g., OpenAI, Anthropic, Claude, Gemini, Llama)

Proven experience with prompt engineering, RAG architectures, and building production LLM-based applications or agents

Experience with conversational AI, chatbots, or agent development platforms (Agentforce experience strongly preferred)

Experience with cloud infrastructure (e.g., AWS, GCP, Heroku) and designing scalable, distributed system architectures

Proficiency in data processing, vector databases, embeddings, semantic search, and retrieval optimization

Strong understanding of Salesforce platform (Apex, LWC, Data Cloud, Platform Events) or equivalent enterprise platform experience

Experience with RESTful APIs, GraphQL, event-driven architectures, and microservices patterns

Bachelor's (or) Master's degree in Computer Science, Software Engineering, or related STEM field with strong competencies in algorithms and data structures

Excellent verbal and written communication skills with ability to influence technical decisions and collaborate across organizations

Strong experience in test-driven development including unit testing, integration testing, and end-to-end automation for AI systems

Proven ability to debug complex production issues, optimize system performance, and resolve customer-impacting problems

Experience with developer tools such as Git, Docker, Kubernetes, Terraform, CI/CD pipelines (Jenkins, GitHub Actions, Spinnaker)

Track record of mentoring engineers and elevating team technical capabilities

Experience delivering large-scale features used by thousands of users with measurable business impact

Even Better If…

Hands-on experience building agents with Salesforce Agentforce or Agent Builder

Experience with agent orchestration frameworks, multi-agent systems, and agentic AI architectures

Deep expertise in prompt optimization, fine-tuning LLMs, and model evaluation techniques

Experience with Customer Zero or early adopter programs influencing product development

Knowledge of data engineering, ETL pipelines, and content processing at scale

Experience with observability tools (Grafana, Datadog) and monitoring agent systems in production

Contributions to technical communities, open-source projects, or conference speaking

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.