Sr. Developer, AI and Agentforce

Accountabilities:: Build, test, and enhance Salesforce Agentforce agents, workflows, and automations to support intelligent customer-facing and internal experiences. Prototype, assess, and evaluate emerging AI technologies adjacent to the Salesforce ecosystem, determining their suitability for strategic customer initiatives. Design and implement scalable, secure data architectures using Salesforce Data 360, including Data Lake Objects (DLOs), Data Model Objects (DMOs), identity resolution, and real-time data activation. Work with unstructured DMOs, retrievers, and search indexes to support advanced data retrieval and AI-powered experiences. Engage directly with customers to understand requirements, clarify complex needs, and propose appropriate technical solutions. Develop custom Salesforce solutions using Apex, Lightning Web Components (LWCs), JavaScript, and related platform technologies. Collaborate with project teams to translate business requirements, including exploratory and strategic requests, into effective technical designs and implementations. Explore technologies across AWS, GCP, and other platforms to identify opportunities for innovation beyond traditional Salesforce solutions. Stay up to date with Salesforce releases, Agentforce capabilities, platform best practices, and developments across the broader AI ecosystem. Use modern AI tools and development assistants to improve engineering productivity, accelerate development, and enhance solution quality. Pursue relevant Salesforce certifications and maintain technical expertise in line with professional development goals. Contribute to technical communities and knowledge-sharing initiatives, representing the organization within Salesforce and AI ecosystems. Travel up to 25% for customer engagements and company events. Requirements: At least 3 years of hands-on Salesforce development experience, particularly with Apex, Lightning Web Components, and JavaScript. Strong knowledge of Apex programming, Salesforce coding standards, and development best practices. Solid foundation in software engineering principles, programming fundamentals, and object-oriented programming (OOP). Experience with CI/CD processes, source control, and Git-based development workflows. Practical experience integrating Salesforce with third-party platforms and services through REST APIs. Experience building solutions using Salesforce Data 360. Hands-on experience developing Agentforce agents, workflows, and automations. Demonstrated curiosity about emerging AI technologies beyond Salesforce, including LLM APIs, agent frameworks, and new development tools. Ability to learn new technologies quickly and apply them to solve complex business and technical challenges. Excellent written and verbal communication skills, including the ability to explain technical concepts to non-technical stakeholders. Preferred: Experience with advanced Data 360 capabilities, including unstructured DMOs, retrievers, search indexes, retrieval-augmented generation (RAG), and identity resolution. Preferred: Experience with Agentforce Agent Script and next-generation agent authoring. Preferred: Salesforce certifications such as Platform Developer I or II, Data Cloud Consultant, Agentforce Specialist, or Claude Certified Architect. Preferred: Previous consulting or professional services delivery experience. Preferred: Experience prototyping with LLM providers such as Anthropic or OpenAI, vector databases, and agent orchestration frameworks outside the Salesforce ecosystem. Preferred: Familiarity with additional Salesforce products, including Service Cloud, Sales Cloud, and Experience Cloud. Preferred: Understanding of Salesforce Enhanced Chat and Omni-Channel. Preferred: Experience with Amazon Connect or other telephony platforms. Preferred: Experience developing, testing, and deploying AWS Lambda functions. Preferred: Proficiency with Claude Code or similar AI coding agents. Benefits: Work arrangement: Remote position in India, limited to candidates based in Bengaluru, Chennai, Gurugram, Hyderabad, Noida, or Pune. Employment type: Full-time. Flexible working environment: A culture that values outcomes and quality of work while accommodating personal commitments. Remote and in-person collaboration: Opportunities to stay connected with colleagues through distributed teamwork and company gatherings. Professional development: Opportunities to deepen expertise in Salesforce, Agentforce, generative AI, and emerging technologies. Team culture: Collaborative environment that encourages employee feedback, knowledge sharing, and open communication. Team events: Opportunities to celebrate achievements and participate in social and team-building activities. Travel: Up to 25% travel for customer projects and company events.