Reimagine traditional Salesforce workflows by applying AI/ML models and intelligent automation to reduce manual effort, improve data-driven decision making, and create delightful user experiences.
Requirements
- Proven experience with AI/ML technologies (NLP, generative AI, predictive modeling, LLM integration, TensorFlow, PyTorch, Vertex AI, etc.).
- Strong expertise in modern cloud-native application development (GCP, AWS, or Azure), microservices, APIs, and event-driven architectures.
- Proficiency in modern programming languages such as Python, Java, Node.js, or TypeScript, with hands-on experience in frontend frameworks (React, Angular, or Vue).
- Experience integrating enterprise platforms (Salesforce preferred but not required) with external applications and AI models.
- Strong understanding of data pipelines, observability, and monitoring frameworks for AI/ML-enabled systems.
- Ability to think outside-in: challenge conventional Salesforce problem-solving methods and propose AI-first alternatives.
- Strong problem-solving skills, with an innovative mindset and the ability to deliver solutions that are both pragmatic and forward-looking.
Responsibilities
- AI-Led Problem Solving: Reimagine traditional Salesforce workflows (approvals, case routing, data enrichment, forecasting, etc.) by applying AI/ML models and intelligent automation.
- Full-Stack Development: Build scalable, enterprise-grade applications across frontend, backend, and data layers, integrating seamlessly with Salesforce and other GTM systems.
- Disruptive Thinking: Identify unconventional approaches to long-standing process bottlenecks; design solutions that simplify, modernize, and delight.
- Integration & Extensibility: Architect microservices and APIs that connect Salesforce with external data, AI pipelines, and cloud-native applications.
- AI/ML Implementation: Experiment with and implement generative AI, NLP, and ML models to automate insights, recommendations, and user interactions.
- Collaboration: Partner with Salesforce platform experts, architects, and business leaders to co-create hybrid solutions that combine platform strengths with modern AI capabilities.
- Quality & Scalability: Ensure solutions are robust, observable, secure, and optimized for enterprise-scale performance.
Other
- Minimum 2+ years of engineering experience with a strong foundation in enterprise platform development with Bachelors or Masters Degree in relevant field.
- Ability to work in agile teams with rapid iteration and strong business collaboration.
- Strong problem-solving skills, with an innovative mindset and the ability to deliver solutions that are both pragmatic and forward-looking.
- Experience working in agile teams with rapid iteration and strong business collaboration.
- Bachelors or Masters Degree in relevant field.
