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Tier-1 brand, mid-level role, Bangalore metro, broad Salesforce+AI skillset increases competition.
Role requires combined Salesforce platform and agentic AI expertise, making cross-industry transferability low.
Explicit 5–7 years, mandatory Salesforce development, LLM/agentic experience, and preferred certifications increase screening rigor.
Lead development and enhancement of a multi-agent AI platform integrating multiple LLMs and AI models to support Salesforce delivery lifecycle.
Act as senior Salesforce developer on projects applying AI-first and agentic development methods, building and reviewing solutions with Apex, LWC, Flow, APIs.
Support platform adoption, troubleshoot complex technical issues spanning AI agents and Salesforce components, and enable teams in AI-assisted development practices.
5–7 years of Salesforce/software engineering experience with strong hands-on Salesforce development skills including Apex, LWC, SOQL, Flow, APIs, and integrations.
Experience building or working with multi-agent/agentic AI applications and multiple LLM providers/models.
Familiarity with AI coding tools such as Claude Code, Cursor, Gemini or similar, and integrating AI with Salesforce APIs and metadata.
Salesforce certifications such as Platform Developer II, Application Architect, or System Architect.
Strong blend of Salesforce engineering expertise and agentic AI development skills enabling building, deploying, and operationalizing AI-enhanced Salesforce solutions.
Experience working hands-on with multi-agent AI platforms and enterprise AI/agent-based development environments like Agentforce.
Ability to bridge AI platform engineering with project delivery, guiding other developers to adopt AI-first engineering practices and agentic workflows.