ESaaS - SFDC - Lightning UI & JavaScript Development

📍 Job Overview

Job Title: ESaaS - SFDC - Lightning UI & JavaScript Development

Company: Zensar

Location: Bangalore, Karnataka, India

Job Type: Full-Time

Category: Revenue Operations / Sales Operations / GTM Technology

Date Posted: February 22, 2026

Experience Level: Mid-Senior Level (5-10 years expected)

Remote Status: Remote OK

🚀 Role Summary

• This role is a critical component of the Go-To-Market (GTM) technology stack, focusing on the strategic integration and development of advanced Artificial Intelligence (AI) capabilities within the Salesforce ecosystem.

• The position requires a blend of deep Salesforce platform expertise and cutting-edge AI development skills, specifically in leveraging Large Language Models (LLMs), agentic workflows, and generative AI features like Einstein and GPT.

• The primary objective is to enhance user experiences and business workflows by building intelligent, AI-augmented applications and automations directly within Salesforce.

• This role will play a pivotal part in translating complex business needs into scalable, efficient, and innovative Salesforce solutions that drive revenue growth and operational efficiency.

📝 Enhancement Note: The job title and description strongly indicate a focus on Salesforce development with a specialization in AI integration, aligning this role with advanced GTM technology roles within Revenue Operations or Sales Operations. The emphasis on "ESaaS" (likely Enterprise SaaS) and specific AI technologies positions this as a senior development role aimed at enhancing core business platforms.

📈 Primary Responsibilities

• Lead the design, development, and integration of Salesforce AI capabilities, including Einstein, GPT, and other LLM-based features, into core business processes and workflows.

• Architect and implement agentic capabilities within Salesforce applications, such as autonomous workflows, dynamic task execution, reasoning chains, and contextual assistance to improve user productivity and decision-making.

• Develop robust and scalable solutions using Salesforce technologies including Lightning Web Components (LWC), Apex, Flows, and Platform Events to deliver sophisticated AI-augmented user experiences.

• Implement Retrieval Augmented Generation (RAG) patterns and integrate diverse external data sources to enrich AI model responses and enhance the accuracy and relevance of AI-driven insights.

• Apply expertise in prompt engineering, prompt templates, grounding strategies, embeddings, vector search, and knowledge augmentation techniques to optimize AI model performance and outputs.

• Develop, test, and iteratively refine AI copilots, AI assistants, service bots, and conversational interfaces to streamline customer interactions and internal operational tasks.

• Collaborate closely with Solution Architects and other stakeholders to define and enforce AI governance, trust, safety protocols, and responsible AI usage guidelines across the Salesforce platform.

• Build and manage integrations with leading external AI platforms such as OpenAI, Azure OpenAI, and Anthropic, ensuring seamless data flow and functionality.

• Continuously monitor, optimize, and refine the performance, accuracy, and reliability of all AI-driven workflows and applications, ensuring alignment with defined business objectives and key performance indicators (KPIs).

📝 Enhancement Note: The responsibilities clearly outline a specialized Salesforce developer role focused on AI integration, suggesting a need for strong technical acumen in both Salesforce development and emerging AI technologies. The emphasis on RAG, prompt engineering, and agentic workflows indicates a forward-looking role that requires hands-on development experience with cutting-edge AI applications within an enterprise context.

🎓 Skills & Qualifications

Education:

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field. A Master's degree is a plus.

• Relevant Salesforce certifications (e.g., Platform Developer I/II, Application Architect, CTA) are highly desirable.

Experience:

• 5-8 years of hands-on experience in Salesforce development, with a strong track record of building complex solutions on the Salesforce platform.

• Proven experience in designing and implementing AI-powered features or integrating AI services into enterprise applications.

Required Skills:

• Salesforce Development: Deep proficiency in Apex, Lightning Web Components (LWC), and Salesforce Flows is essential.

• AI/LLM Fundamentals: Solid understanding of Large Language Models (LLMs), prompt engineering, embeddings, vector search, and RAG patterns.

• AI Integration: Experience integrating with external AI platforms (e.g., OpenAI, Azure OpenAI, Anthropic) using APIs.

• Salesforce AI Features: Hands-on experience with Salesforce-specific AI capabilities like Einstein, GPT integrations, and AI Copilots.

• Platform Events: Familiarity with Salesforce Platform Events for real-time data synchronization and event-driven architectures.

• Programming Languages: Strong JavaScript skills are crucial for LWC development.

• Problem-Solving: Excellent analytical and problem-solving skills with the ability to translate complex business requirements into technical solutions.

Preferred Skills:

• Experience with agentic workflows, autonomous task execution, and reasoning chains in AI applications.

• Knowledge of knowledge augmentation strategies and vector databases.

• Familiarity with AI governance, trust, safety, and responsible AI principles.

• Experience with conversational AI, service bots, or AI assistants.

• Understanding of data architecture and data integration patterns for AI applications.

📝 Enhancement Note: The requirements highlight a specialized skill set that bridges traditional Salesforce development with advanced AI integration. The "5-10 years" experience level suggests a need for seasoned professionals who can lead development efforts and contribute to architectural decisions, particularly in the rapidly evolving field of generative AI within enterprise platforms.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• AI Integration Case Studies: Showcase specific projects where you've integrated AI capabilities (LLMs, GPT, Einstein) into business applications, detailing the problem, solution, and outcomes.

• Salesforce Development Examples: Provide examples of complex LWC, Apex, or Flow development, demonstrating clean code, efficient logic, and user-centric design.

• RAG/Prompt Engineering Demonstrations: If possible, include examples or detailed descriptions of projects involving RAG, prompt template design, or vector search implementation.

• Performance Optimization Examples: Highlight instances where you've optimized the performance or efficiency of Salesforce applications or AI workflows, showcasing measurable improvements.

Process Documentation:

• Workflow Design: Be prepared to discuss your approach to designing AI-augmented workflows within Salesforce, including how you map user journeys and define automated processes.

• Integration Strategy: Articulate your strategy for integrating external AI services and data sources with Salesforce, including considerations for security, scalability, and data consistency.

• Testing & Refinement: Describe your methodology for testing AI models, workflows, and applications, including iterative refinement based on performance metrics and user feedback.

• Responsible AI Practices: Be ready to discuss your approach to implementing AI responsibly, considering governance, trust, and safety guardrails.

📝 Enhancement Note: For a role focused on advanced AI integration within Salesforce, a portfolio demonstrating practical application of these technologies is crucial. Candidates should be prepared to present tangible examples of their work that showcase not only technical proficiency but also an understanding of how AI can drive business value and improve operational efficiency.

💵 Compensation & Benefits

Salary Range:

Benefits:

• Comprehensive health insurance coverage (medical, dental, vision).

• Retirement savings plan (e.g., Provident Fund).

• Paid time off (vacation, sick leave, public holidays).

• Opportunities for professional development, including certifications and training in AI and Salesforce technologies.

• Remote work flexibility and potential home office stipends.

• Performance-based bonuses and incentives.

Working Hours:

• Standard 40-hour work week (Monday to Friday).

• Flexibility in start and end times, adaptable to team needs and project deadlines.

• Occasional need for extended hours during critical project phases or for urgent issue resolution.

📝 Enhancement Note: The salary range is an estimate based on typical compensation for mid-to-senior level tech roles in Bangalore, India, with a premium for the specialized AI and Salesforce skills. Benefits are standard for full-time positions in the tech industry, with a focus on professional growth relevant to this role.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology Services & Consulting (specifically focused on Enterprise SaaS solutions and digital transformation).

Company Size: Zensar is a large, global IT services company, typically employing thousands of professionals worldwide. This implies a structured environment with established processes but also opportunities for diverse project exposure.

Founded: Zensar was founded in 1991, indicating a long-standing presence and experience in the IT industry.

Team Structure:

• The role likely sits within a specialized Salesforce practice or a dedicated GTM/Revenue Operations Technology team.

• Expect a matrixed reporting structure, potentially reporting to a Salesforce Development Manager or a Lead Architect, with close collaboration with Business Analysts, Product Managers, and GTM stakeholders.

Methodology:

• Agile methodologies (Scrum, Kanban) are likely employed for project management, emphasizing iterative development, continuous feedback, and rapid deployment of AI features.

• A strong focus on data-driven decision-making, with performance metrics and KPIs used to measure the impact of AI integrations on business outcomes.

• Emphasis on process optimization and automation to drive efficiency and reduce manual effort across GTM functions.

Company Website: https://www.zensar.com/

📝 Enhancement Note: Zensar's position as a global IT services company suggests a professional and structured work environment. The focus on ESaaS and AI integration indicates that the team is likely at the forefront of technological adoption, requiring a proactive and innovative mindset.

📈 Career & Growth Analysis

Operations Career Level: This role represents a senior individual contributor position within the GTM technology domain. It is a specialized development role focused on integrating cutting-edge AI technologies into a core business platform (Salesforce). It sits above a standard Salesforce Developer role and requires a deeper understanding of AI concepts and their practical application.

Reporting Structure: The role will likely report to a Salesforce Technical Lead, Development Manager, or an AI/Platform Architect. There will be significant collaboration with GTM Operations leaders, Product Managers, and potentially business stakeholders who will be end-users of the AI-augmented features.

Operations Impact: The impact of this role is significant. By successfully integrating advanced AI capabilities, it will directly influence:

• Sales Productivity: Automating tasks, providing real-time insights, and enhancing sales rep efficiency.

• Customer Experience: Delivering more personalized and intelligent interactions through AI-powered service and sales tools.

• Operational Efficiency: Streamlining complex workflows, reducing manual effort, and improving data accuracy within the GTM technology stack.

• Revenue Growth: Enabling better lead qualification, opportunity management, and customer retention through data-driven AI insights.

Growth Opportunities:

• Specialization: Deepen expertise in specific AI domains (e.g., generative AI, conversational AI, predictive analytics) within the Salesforce ecosystem.

• Leadership: Transition into a Team Lead or Architect role, guiding other developers and influencing technical strategy for AI initiatives.

• Cross-functional Exposure: Gain broader understanding of Sales Operations, Marketing Operations, and Customer Success domains by working on diverse GTM challenges.

• Industry Recognition: Become a subject matter expert in the rapidly growing field of AI within enterprise SaaS platforms.

• Advanced Certifications: Pursue higher-level Salesforce architect certifications or specialized AI/ML certifications.

📝 Enhancement Note: This role offers a clear path for career advancement within specialized GTM technology and AI development. The emphasis on emerging technologies like GPT and agentic workflows positions successful candidates for high-demand roles in the future of enterprise software.

🌐 Work Environment

Office Type: While the role is listed as "Remote OK," Zensar typically operates with a hybrid model for its employees, offering the flexibility of remote work combined with opportunities for in-office collaboration. The specific arrangement might depend on team and project needs.

Office Location(s): The primary location is Bangalore, Karnataka, India, with Zensar having significant office infrastructure there, including Shilpa Ananya Tech Park.

Workspace Context:

• Collaborative Environment: Expect a dynamic, collaborative environment that encourages knowledge sharing and peer-to-peer learning, especially in a remote or hybrid setup.

• Technology-Rich: Access to modern development tools, powerful computing resources, and a robust IT infrastructure to support complex AI development and integration tasks.

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