Salesforce AgentForce Specialist/Developer(5-6yrsmust)

Infrabyteits; India; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Infrabyteits is seeking a Salesforce Agentforce Developer with 5–7 years experience to design, build, and optimize AI-powered Salesforce solutions remotely. The role demands strong Apex, LWC, and Data Cloud skills, plus integration and mentorship responsibilities.

You will work with clients to translate business requirements into scalable, compliant technical solutions, while maintaining excellent collaboration across teams and delivering high-quality results from a remote setting.

Qualifications

• 5+ years in Salesforce development.
• 5+ years Salesforce + 2+ years AI/Data Cloud for advanced roles.
• Active Salesforce Platform Developer I (PD1) or higher; Service Cloud cert preferred.

Responsibilities

• Design, configure, and deploy Agentforce agents in Salesforce for customer-facing and internal service scenarios.
• Connect Agentforce with Salesforce Data Cloud for context-aware AI responses.
• Build Apex classes, triggers, and Flows to support agent actions and data cloud events.
• Develop Einstein Prompt Builder templates for case summarization and knowledge retrieval.
• Integrate Einstein AI models and third-party LLMs via Model Builder; tune AI responses.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Troubleshoot Salesforce and Agentforce issues and monitor AI performance.
• Document code and best practices; adhere to Salesforce standards.
• Mentor junior developers on Salesforce and Agentforce best practices.

Skills

Salesforce APEX

Lightning Web Components

Agentforce Studio

Prompt Builder

Model Builder

Data Cloud

APIs & Integrations

Soft skills

Tools

Apex triggers

Flows

Data Cloud configs

Job description

Salesforce Agentforce Developer — Job Description(Experience: 5-7yrs) — Contract -Remote

A Salesforce Agentforce Developer is responsible for designing, building, and optimizing AI‑powered solutions in Salesforce using Agentforce, Co‑Pilot, and related technologies, while ensuring scalability, quality, and customer experience.

Key Responsibilities

• Agentforce Implementation: Design, configure, and deploy Agentforce agents in Salesforce for customer‑facing and internal service scenarios. Create agent instructions, topics, and actions using Agentforce Studio and prompt‑engineering best practices.

• Integration with Data Cloud: Connect Agentforce with Salesforce Data Cloud to enable context‑aware AI responses using unified customer and case data.

• Apex & Flow Development: Build Apex classes, triggers, and Flows to support agent actions, data cloud events, and system‑to‑system integration.

• Prompt Engineering: Develop and optimize Einstein Prompt Builder templates for use cases like case summarization, recommended actions, anomaly detection, and knowledge retrieval.

• AI Model Integration: Integrate Einstein AI models, approved third‑party LLMs via Model Builder, and RAG frameworks; evaluate and tune AI responses for accuracy and compliance.

• Collaboration: Work with cross‑functional teams, clients, and stakeholders to translate business requirements into technical solutions.

• Troubleshooting & Optimization: Resolve Salesforce and Agentforce technical issues, monitor AI performance, and recommend improvements.

• Documentation & Best Practices: Maintain technical documentation, adhere to Salesforce coding standards, and ensure scalability.

• Mentorship: Train and mentor junior developers on Salesforce and Agentforce best practices.

Required Skills & Qualifications

• Experience: 5+ years in Salesforce development; 5+ years Salesforce + 2+ years AI/Data Cloud for advanced roles.

• Technical Skills:

  • Salesforce APEX, Lightning Web Components (LWC), declarative tools (Flows, Forms, Workflows)

  • Agentforce Studio, Prompt Builder, Model Builder

  • Data Cloud configuration (streams, DMOs, identity resolution)

  • API integrations and third‑party service connections

• Certifications: Active Salesforce Platform Developer I (PD1) or higher; Service Cloud certification preferred.

• Soft Skills: Strong problem‑solving, communication, collaboration, and Agile methodology experience.

Preferred Qualifications

• Additional Salesforce certifications (Service Cloud, Data Cloud)
• Experience integrating AI models and generative AI into Salesforce
• Proven track record in delivering high‑quality, scalable solutions under tight deadlines