Software Engineering SMTS

Salesforce•Redwood City, CA

1d•Hybrid

About The Position

Join the Agentic AI team at Salesforce working on Data Management and make a real impact with your software designs and code! This position requires technical skills, outstanding analytical and influencing skills, and extraordinary business insight. It is a multi-functional role that requires building alignment and communication with several engineering organizations. We work in a highly collaborative environment, and you will partner with a highly cross-functional team of Data Scientists, Software Engineers, Machine learning engineers, UX experts, and product managers to build upon CLAIRE Agentic Data Management, our innovative new AI framework. We value execution, clear communication, feedback and making learning fun.

Requirements

5+ years of experience in building highly scalable Software-as-a-Service applications/platform.
Experience building technical architectures that deliver Agentic Solutions and AI Interfaces at Scale to address end to end Customer use cases
Thrive in dynamic environments, working on cutting edge projects that often come with ambiguity.
Innovation/startup mindset to be able to adapt.
Deep and foundational expertise in Model Architectures and AI Systems, including orchestration for large-scale production deployments.
Proficiency in distributed systems, cloud native technologies like Kubernetes, multithreading, concurrency, caching, queues, and event-driven architecture
Advanced Context Engineering, demonstrated through designing and building Agentic Experience and RAG solutions/Alternates for high-quality, contextualized AI experiences.
Strong Evaluation-led benchmarking (NFRs, SLIs, SLOs) to ensure performance, scalability, and Customer Trust in AI/ML systems.
Demonstrated track record of cultivating strong working relationships and driving collaboration across multiple technical and business teams to resolve critical issues.
Experience with the full software lifecycle in highly agile and ambiguous environments.
Excellent interpersonal and communication skills.
Strong coding proficiency in Java (Multithreading, and JVM tuning), or Python, and Object-Oriented design, focused on building highly scalable Agentic AI services.
Experience with conversation-level testing, dynamic simulation environments (e.g., Benchforce/eVerse), and custom scorers for continuous agent improvement and evaluation (ADLC).
Ability to design and implement inter-agent protocols (A2A) and Human-Agent Collaboration (HAC) frameworks to manage shared context and ensure responsible autonomy.
Deep understanding and implementation of an AI Trust Layer to ground AI systems in enterprise context, ensuring security and auto-blocking threats like prompt injection.

Nice To Haves

Expertise in Data architectures including designing and implementing data pipelines and real-time data systems for high-scale AI products.
Familiarity with PySpark for large-scale data processing and distributed computing tasks within AI pipelines.
Experience with continuous integration (CI) and continuous deployment (CD), and service ownership.

Responsibilities

Develop, implement, test, and deliver highly scalable Agentic AI services, including Agents, AI Copilots/assistants, Chatbots, AI Planners, and RAG solutions.
Lead the design, development, and quality strategy for scalable data services that empower enterprises.
Analyze and provide feedback on technical feasibility.
Drive long-term design strategies that span multiple sophisticated projects, deliver technical reports and performance presentations to customers and at industry events.
Actively communicate with, encourage and motivate all levels of staff.
Drive technical knowledge sharing across cross-functional teams
Be a domain expert for products, while writing code and working closely with other developers, PM, and UX to ensure features are delivered to meet business and quality requirements.
Troubleshoot complex production issues and work with support and customers as needed.