Software Engineering SMTS

Salesforce•San Francisco, CA

14h•Onsite

About The Position

Salesforce is seeking a Senior Member of Technical Staff (SMTS) - AI Software Engineer to join the Agentforce team. This role focuses on developing and delivering AI-driven solutions, with an emphasis on maintaining core execution engines, handling complex orchestration, and building the next generation of intelligent agents. The position involves working on impactful generative AI platforms, applications, and products used by millions, ensuring their stability, security, and evolution. The team is composed of Generative AI Application Engineers passionate about designing products and building intelligent agents that collaborate with humans to drive customer success. They value learning, teaching, and mutual support, seeking developers with a collaborative attitude, strong problem-solving skills, and openness to new ideas.

Requirements

5 + years of industry experience in software engineering, with a proven track record as a core backend product developer.
Strong programming skills in Java with a solid understanding of object-oriented design.
Strong programming skills in Python, with experience or a strong interest in building ML pipelines.
Bachelors (or) Masters degree in Computer Science, Software Engineering, or related STEM field with strong competencies in algorithms, data structures, and software design.
Excellent debugging and triage skills; a passion for digging into legacy codebases to solve complex bugs and security vulnerabilities.
Experience with distributed, scalable systems and modern data storage, messaging, and processing frameworks (e.g., Kafka, Docker, Spark).
Basic understanding of deep learning, machine learning algorithms, LLMs, and prompt engineering.
Excellent problem-solving skills; the ability to tackle problems the world has yet to solve.

Nice To Haves

Experience developing applications/services for complex business use cases and large amounts of unstructured data.
Experience with conversational AI and fine-tuning methods for LLMs.
Strong written and verbal communication skills with a track record of driving collaboration across multiple technical teams.

Responsibilities

Maintain, debug, and optimize the legacy React Planner engine, ensuring high availability, security, and rapid resolution of customer issues.
Transition into designing and building new reasoning features and capabilities for the next-generation Agentforce reasoner.
Build and own end-to-end scalable services that can be integrated with numerous applications, support thousands of tenants, and operate at scale in production.
Drive system efficiencies through automation, including capacity planning, configuration management, performance tuning, monitoring, and root cause analysis.
Participate in periodic on-call rotations and be available to resolve critical production issues.
Collaborate with Product Managers, Application Architects, Data Scientists, and Deep Learning Researchers to bring innovative technologies to production.