SMTS Back End Software Engineer, Agentforce

Salesforce

Remote

Quick summary

Work type
Remote
Location
San Francisco, CA
Salary
$148,500–$223,900 / yr
Posted
1 day ago
Nearby
99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $165k
This role $186k
$122k most similar roles pay here $235k

This role pays more than 70% of similar roles. Most pay $137,500–$193,000 — the shaded band above. At the midpoint, this role pays about $186k versus about $165k for comparable roles.

Based on 240 similar postings.

Employer

About Salesforce

Salesforce is the world''s leading customer relationship management (CRM) platform, offering cloud-based software for sales, service, marketing, analytics, and application development. Industry: Enterprise Software & Cloud Computing

Salesforce currently has 132 open roles on FindRole.

Listed pay typically runs $171,200–$260,100 across 116 roles with salary data.

Most-posted roles

View all roles at Salesforce

At a glance

TL;DR · SMTS Back End Software Engineer, Agentforce

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Salesforce seeks a Senior Member of Technical Staff (SMTS) - AI Software Engineer to join its team developing Agentforce, focusing on maintaining and evolving core systems. This role involves optimizing the legacy React Planner for stability and security while also building new reasoning features for the next-generation reasoner, integrating generative AI services, and designing scalable pipelines. The ideal candidate has over five years of experience in backend development with strong skills in Java and Python, along with a background in software engineering and proficiency in distributed systems, modern data storage frameworks like Kafka and Docker, and basic knowledge of deep learning and LLMs. This position requires expertise in debugging complex issues, automating system efficiencies, and collaborating closely with cross-functional teams to deliver innovative AI solutions at scale.

Skills

Java Python Kafka Docker Spark React Planner CI/CD Linux Git AWS PostgreSQL Messaging Frameworks Deep Learning Machine Learning Algorithms LLMs Prompt Engineering

What you'll do

  • Maintain, debug, and optimize the legacy React Planner engine to ensure high availability and security.
  • Design and build new reasoning features for the next-generation Agentforce reasoner.
  • Develop scalable services that can be integrated with multiple applications and support thousands of tenants in production.
  • Drive system efficiencies through automation, including capacity planning and performance tuning.
  • Participate in on-call rotations to resolve critical production issues promptly.
  • Collaborate with cross-functional teams to integrate generative AI services into products.

What we're looking for

  • 5+ years of industry experience in software engineering as a core backend product developer.
  • Strong programming skills in Java and Python, with expertise in object-oriented design and ML pipelines.
  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related STEM field.
  • Excellent debugging and triage skills for legacy codebases and complex bugs.
  • Experience with distributed, scalable systems and modern data storage frameworks like Kafka, Docker, Spark.
  • Basic understanding of deep learning, machine learning algorithms, LLMs, and prompt engineering.

Related searches

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