Salesforce

AI Software Engineer (MTS) – Digital Success Engineering

Salesforce
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3 days ago
Chicago, IL, USA +2 moreMid Level / Senior
H1B Sponsor

Base Salary

$117k - $177k/yr

Responsibilities

  • Design, build, and optimize enterprise-grade AI agents with Agentforce Builder, Agent Script, and New Graph Architecture.
  • Develop multilingual, multi-turn agent topics, reasoning paths, skills, and fallback flows for customer support.
  • Create and evaluate system prompts, guardrails, and contextual instructions using techniques such as few-shot learning and chain-of-thought.
  • Build integrations and data pipelines connecting agents to Salesforce Data Cloud, Apex, REST/GraphQL APIs, and external enterprise systems.
  • Implement testing, A/B testing, benchmarking, and evaluation frameworks for conversation quality, deflection accuracy, hallucination rates, and semantic search precision.
  • Partner with Product Management, Architects, and AI Researchers to test unreleased Agentforce capabilities and inform product roadmaps.
  • Participate in release cycles, CI/CD, code reviews, and on-call rotations to maintain high availability and sub-second response times.

Requirements

  • Bachelor’s degree in Computer Science, Software Engineering, or equivalent practical experience.
  • 3–5+ years of software engineering experience with strong backend development and experience scaling AI/ML services or conversational AI systems.
  • Hands-on proficiency in Java, Python, Apex, or C# in microservice and multi-tenant SaaS environments.
  • Understanding of LLMs, RAG architectures, prompt engineering, embeddings, and vector databases.
  • Hands-on experience or working familiarity with the Salesforce Platform, Apex, LWC, Flows, API integrations, and Agentforce.
  • Experience developing and consuming RESTful/GraphQL APIs, managing data pipelines, and working with relational and non-relational databases.
  • Familiarity with Git, CI/CD, unit testing frameworks, and automated end-to-end testing.
  • Ability to communicate complex technical concepts to non-technical stakeholders in cross-functional environments.
  • Preferred experience with Salesforce Agentforce, Agent Script, or Data Cloud.
  • Preferred experience building customer service bots, autonomous agents, or multi-agent orchestration frameworks at scale.
  • Preferred experience with GenAI evaluation, RLHF, bias mitigation, and safety guardrailing.
  • Salesforce certifications such as Platform App Builder, Salesforce Developer, or AI Associate/Specialist are preferred.

Benefits

  • Benefits include time off programs, medical, dental, vision, mental health support, paid parental leave, life and disability insurance, 401(k), and an employee stock purchasing program.
  • The stated base salary excludes bonus, incentive compensation, equity, and benefits.

Tech Stack

C#GitGraphQLJavaPython
Salesforce

About Salesforce

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