Software Engineering SMTS

Salesforce•San Francisco, CA

1d•Hybrid

About The Position

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. Agents and LLMs are a fast evolving technology. Einstein GPT Team within AI Platform is building platform services needed to spearhead LLM technology to support Agentforce and AI apps within Salesforce CRM clouds. As a team deeply embedded in LLM infrastructure, we are looking for backend Software engineer, who enjoys a fast-paced environment, can deliver incrementally, and think creatively. You will work on cutting edge LLM technologies from different vendors, deliver CRM and Salesforce integration features.

Requirements

3+ years of development experience as a software engineer.
Strong experience with backend development in preferably Java, or at least one object-oriented compiled, statically-typed language (C++, C#)
Knowledge of AI/ML frameworks and experience working with large language models (e.g., OpenAI, Anthropic, Gemini, etc. )
Experience with cloud infrastructure (e.g., AWS, GCP) and scalable system architecture.
Proficiency in data processing and working with APIs eg REST
Bachelors (or) Masters degree in Computer Science, Software Engineering, or related STEM field with strong competencies in algorithms and data structures.
Strong verbal and written communication skills
Experience in test-driven development with focus on unit testing, integration testing and end-to-end automation
Ability to support/resolve production customer issues with debugging and problem solving skills

Nice To Haves

Experience with developer tools such as Git, Kubenetes, Terraform, Spinnaker a plus

Responsibilities

Build, scale and maintain critical features of the Einstein platform to provide scale and efficiency.
Develop high-quality, production-ready code that can be used by millions of users of our cloud platform.
Make design decisions on the basis of performance, scalability, and future expansion.
Work in a Hybrid Engineering model and contribute to all phases of SDLC including design, implementation, code reviews, automation, and testing of the features.
Build efficient components/algorithms on a microservice multi-tenant SaaS cloud environment
Code review, mentoring junior engineers, and providing technical guidance to the team (depending on the seniority level)
Make/Participate in critical decisions that attribute to the success of the platform