We are looking for a visionary Senior AI Developer with 10+ years of experience to drive the next generation of intelligent automation and agentic AI within our enterprise ecosystem. In this role, you won't just write code; you will be the architect of how humans and AI work together.

You will bridge the gap between core Salesforce engineering (Agentforce, Einstein, Data Cloud) and contemporary, AI-assisted development paradigms using GitHub Copilot. As a senior leader, you will design autonomous AI agents, optimize our Salesforce metadata using LLMs, and pioneer internal prompt-engineering methodologies to supercharge our engineering teams delivery speed.

Key Responsibilities1. AI & Agentic Architecture (Salesforce Ecosystem)

Design, build, and deploy autonomous, conversational, and proactive AI agents using Salesforce Agentforce and the Einstein 1 Platform.

Implement and optimize Salesforce Data Cloud data streams to ground AI models, ensuring real-time context and highly accurate vector searches (RAG).

Build custom trust policies, guardrails, and masking rules within the Einstein Trust Layer to ensure secure handling of sensitive enterprise data.

2. Advanced Development & Integration

Write scalable, efficient Apex, Lightning Web Components (LWC), and Python/Node.js microservices to extend native Salesforce AI capabilities.

Integrate Salesforce with external LLMs (OpenAI, Anthropic, AWS Bedrock) via secure APIs, middleware (MuleSoft), or custom-built connectors.

Architect custom Prompt Templates within Salesforce Prompt Builder to automate complex business workflows.

3.



AI-Assisted Engineering (GitHub Copilot Champion)

Champion the adoption and optimization of GitHub Copilot (and Copilot Chat/Extensions) across the development lifecycle.

Establish organization-wide best practices for code generation, automated unit testing, documentation, and refactoring using Copilot.

Train and mentor junior developers on advanced prompt-engineering techniques for code generation to reduce technical debt and maximize velocity.

4. Technical Governance & DevOps

Lead code reviews and design audits to ensure AI-generated code meets strict security, performance, and Salesforce governor limit benchmarks.

Integrate AI validation steps and automated testing into the CI/CD pipeline (Salesforce DX, GitHub Actions).

Monitor AI agent performance, token utilization, and accuracy metrics, continuously fine-tuning prompt templates and models.

Technical Skills & Qualifications

Focus Area

Required Expertise

Core Salesforce

Apex, LWC, Salesforce DX, Flows, Security/Sharing Architecture.

Salesforce AI & Data

Agentforce, Einstein Prompt Builder, Data Cloud, Einstein Trust Layer.

AI Developer Tools

Expert-level proficiency with GitHub Copilot, Copilot Workspace, and GitHub Actions.

AI & LLM Concepts

Retrieval-Augmented Generation (RAG), Vector Databases, Prompt Engineering, LLM orchestration frameworks (e.g., LangChain).

Integrations

REST/SOAP APIs, Webhooks, MuleSoft, or equivalent enterprise middleware.

Location - Chennai, Bangalore, Indore, Pune, Mumbai, Hyderabad

Notice period; Immediate to max 20 days joiners

📌 Salesforce Lead with AI (Chennai)
🏢 InfoBeans
📍 Chennai