LMTS AI Software Engineer - Agentforce Reasoning Engine

Salesforce•San Francisco, CA

17d•Remote

About The Position

Salesforce is looking for an AI Software Engineer to be part of the team building and scaling the Agentforce Reasoning Engine — the core Python/FastAPI service powering multi-agent orchestration in Agentforce. You will work on the infrastructure and AI systems that enable intelligent agents to reason, plan, and act on behalf of millions of customers every day. The Team We are a group of Generative AI Application Engineers passionate about designing and building the reasoning backbone of Agentforce. We love to learn, teach, and help each other, and we seek individuals with a collaborative attitude and openness to others' ideas.

Requirements

3+ years of industry experience building production AI systems and/or backend services.
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related STEM field with strong competencies in algorithms, data structures, and software design.
Strong Python programming skills; experience building production-grade async services (FastAPI or equivalent).
Experience with distributed, scalable systems and modern data storage frameworks such as Redis, Kafka, and Docker/Kubernetes.
Experience integrating with LLMs and prompt engineering in production systems.
Proven ability to innovate and deliver results at scale.

Nice To Haves

Experience with multi-agent orchestration or agentic AI frameworks.
Familiarity with vector databases, embeddings, and retrieval systems.
Experience with conversational AI or voice-integrated services.
Strong written and verbal communication skills with a track record of cross-team collaboration.

Responsibilities

Build and own end-to-end scalable backend services powering multi-agent orchestration, supporting thousands of tenants at production scale.
Design and improve stateful session management using Redis and distributed storage patterns.
Drive system efficiencies through automation, including capacity planning, performance tuning, monitoring, and root cause analysis.
Participate in periodic on-call rotations and be available to resolve critical issues.
Collaborate with Product Managers, Application Architects, and AI researchers to bring innovative agent reasoning capabilities to production.