Senior Salesforce Engineer

Senior Salesforce Engineer (Full Stack)

CRM platform engineering

leveraging Generative AI (GenAI)

end-to-end Salesforce and AI-powered solutions

Salesforce engineering, modern web technologies, and AI innovation.

• Lead design and development of scalable Salesforce solutions integrating CRM, automation, and AI-driven capabilities.
• Build and extend custom Lightning Web Components (LWC) and APIs to enable seamless user and data interactions.
• Develop full-stack applications and microservices that connect Salesforce with external systems and GenAI services (OpenAI, Azure OpenAI, Anthropic, etc.).
• Collaborate with product and data science teams to integrate LLM-based features such as intelligent recommendations, conversational assistants, and predictive insights.
• Design and implement APEX, RESTful APIs, and middleware services to enable data synchronization and workflow automation.
• Drive code quality, security, and DevOps best practices, including CI/CD and automated testing for Salesforce components and integrations.
• Partner with architects and AI engineers to create secure, compliant, and scalable GenAI-enhanced CRM solutions.
• Mentor junior engineers and contribute to technical strategy, design reviews, and architecture decisions.
  

Required Skills & Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
• 6+ years of hands-on experience with Salesforce development (Apex, LWC, Visualforce, Triggers, Flows).
• Strong understanding of Salesforce architecture, data model, and APIs.
• Experience developing end-to-end full-stack applications preferably using Node.js, Python (FastAPI/Django), or Java (Spring Boot).
• Hands-on experience with front-end frameworks (React.js, Angular, or Lightning Web Components).
• Proficiency in RESTful/GraphQL APIs, JSON/XML data exchange, and integration frameworks.
• Experience with GenAI or LLM integrations (OpenAI API, LangChain, Vertex AI, etc.) in CRM or business workflow contexts.
• Exposure to cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).
• Knowledge of CI/CD pipelines, Git-based workflows, and DevOps automation for Salesforce.
• Excellent problem-solving, system design, and communication skills.
  

Preferred / Nice-to-Have

• Salesforce certifications such as Platform Developer II, Application Architect, or Integration Architect.
• Experience integrating Salesforce with data lakes, analytics platforms, or conversational AI systems.
• Familiarity with prompt engineering, RAG pipelines, or vector databases (Pinecone, FAISS, Weaviate).
• Hands-on experience with Salesforce Einstein GPT, Copilot, or custom AI-driven CRM solutions.
• Prior experience in enterprise-scale CRM transformation or AI-powered sales enablement initiatives.
  

• Opportunity to shape the future of AI-powered CRM experiences across global enterprises.
• Collaborative, innovation-driven culture working at the intersection of Salesforce and GenAI.
• Competitive compensation, flexible work model, and ongoing technical upskilling.
• A platform to lead next-gen CRM modernization and AI adoption initiatives.