Software Engineering PMTS

🕒 January 13

Apply Now

Find Similar Remote Jobs

Receive Emails For Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Salesforce

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1999

☁️ SaaS

🤝 B2B

🤖 Artificial Intelligence

SaaS • B2B • Artificial Intelligence

Salesforce is a leading cloud-based software company that provides a comprehensive customer relationship management (CRM) platform. The platform connects all company data and teams on an integrated, AI-driven system to improve sales, customer service, and marketing efforts. Salesforce offers scalable solutions for businesses of all sizes, including small and medium enterprises, and provides industry-specific solutions to modernize operations, save time, and reduce costs. Salesforce also offers educational resources through Trailhead and a wide selection of apps on AppExchange to extend its CRM capabilities.

📋 Description

• Own the architecture, design, and execution of our Agentic AI platform and applications • Collaborate closely with software engineers, data scientists, product managers, and data teams • Lead architecture and development of AI-powered backend systems and services • Design and optimize data pipelines for training and inference at scale • Work with product and business teams to translate user needs into technical requirements • Set technical direction and mentor engineers across teams • Drive adoption of ML best practices for model training, deployment, monitoring, and governance • Innovate in model building, and how models are trained, deployed, and monitored • Make strategic technical decisions on build vs buy, model selection, and infrastructure

🎯 Requirements

• 12+ years of software engineering experience • 3+ years building AI/ML systems at scale • Deep knowledge of object oriented programming and experience with at least one object oriented programming language preferably Java • Strong hands-on experience in coding and building Applied AI and AI applications • Familiarity with LLMs, vector databases, and applied generative AI (e.g., OpenAI, RAG pipelines) • Strong background in system design, distributed systems, and cloud-native architectures (AWS/GCP) • Experience in building and scaling Agentic AI experiences, ML pipelines, data engineering workflows, and API platforms • Proven ability to lead cross-functional teams and mentor engineers • Strong communication and collaboration skills across technical and non-technical teams • Ability to translate complex AI concepts into pragmatic engineering decisions • Experience in startups or high-growth tech companies.

🏖️ Benefits

• Our benefits and resources support you to find balance and be your best • AI agents accelerate your impact so you can do your best