Software Engineering SMTS
Dormont Manufacturing Co
- Bellevue, Washington, United States
- Bellevue, Washington, United States
About
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. The Team
We are a group of Generative AI Application Engineers who are passionate about designing products and building intelligent agents that work alongside humans to drive customer success 24/7. We love to learn, teach, and help each other, and we seek core product developers with a collaborative attitude, strong problem-solving skills, and openness to others’ ideas. The Role
As an SMTS, your journey will bridge the optimization of our current core systems with the creation of next‑generation AI reasoning. Phase 1 (Legacy Optimization): You will start by taking ownership of our legacy React Planner. This is a tricky, business‑critical system that requires a developer who loves deep‑dive problem‑solving. Your initial focus will be on driving stability, resolving complex bugs, addressing customer escalations, and implementing critical security fixes. While new feature development will be lighter in this phase, your work will be vital to keeping the platform robust. Phase 2 (Next‑Gen Evolution): As you master the architecture, you will transition to working on our new reasoner. Here, you will actively build out new reasoning features, integrate generative AI services, design pipelines, and implement citations/guardrails for LLMs. You will participate in the end‑to‑end AI product development lifecycle, collaborating with AI Platform Engineers and Software Engineers to develop scalable, reusable workflows. What You’ll Do
Maintain, debug, and optimize the legacy React Planner engine, ensuring high availability, security, and rapid resolution of customer issues. Transition into designing and building new reasoning features and capabilities for the next‑generation Agentforce reasoner. Build and own end‑to‑end scalable services that can be integrated with numerous applications, support thousands of tenants, and operate at scale in production. Drive system efficiencies through automation, including capacity planning, configuration management, performance tuning, monitoring, and root cause analysis. Participate in periodic on‑call rotations and be available to resolve critical production issues. Collaborate with Product Managers, Application Architects, Data Scientists, and Deep Learning Researchers to bring innovative technologies to production. Required Skills
5 years of industry experience In software engineering, with a proven track record as a core backend product developer (This is a core R&D developer role, not a CCE or FDE position). Strong programming skills in Java (the role starts heavily in Java) with a solid understanding of object‑oriented design. Strong programming skills in Python, with experience or a strong interest in building ML pipelines. Bachelors (or) Masters degree in Computer Science, Software Engineering, or related STEM field with strong competencies in algorithms, data structures, and software design. Excellent debugging and triage skills; a passion for digging into legacy codebases to solve complex bugs and security vulnerabilities. Experience with distributed, scalable systems and modern data storage, messaging, and processing frameworks (e.g., Kafka, Docker, Spark). Basic understanding of deep learning, machine learning algorithms, LLMs, and prompt engineering. Excellent problem‑solving skills; the ability to tackle problems the world has yet to solve. Preferred Skills
Experience developing applications/services for complex business use cases and large amounts of unstructured data. Experience with conversational AI and fine‑tuning methods for LLMs. Strong written and verbal communication skills with a track record of driving collaboration across multiple technical teams. Accommodations
If you need a reasonable accommodation during the application or the recruiting process, please submit a request via this Accommodations Request Form. Equal Opportunity Statement
Salesforce is an equal opportunity employer and maintains a policy of non‑discrimination with all employees and applicants for employment. We assess all candidates on the basis of merit, competence and qualifications — without regard to race, religion, color, national origin, sex, sexual orientation, gender expression or identity, transgender status, age, disability, veteran or marital status, political viewpoint, or other classifications protected by law.
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Languages
- English
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