. The role focuses on building intelligent, scalable Salesforce applications using
Einstein / Einstein GPT, machine learning models, Generative AI, and RAG-based LLM pipelines
. This position requires hands-on Salesforce engineering combined with modern AI/ML and cloud integration expertise.
Key Responsibilities :
Design, develop, and deploy scalable
Salesforce solutions
using Apex, LWC, Aura, Visualforce, and APIs
Build and integrate
AI/ML models
for automation, predictions, recommendations, and forecasting
Implement
Einstein, Einstein GPT
, and external ML services (Python, Azure/AWS ML)
Develop
Generative AI and RAG pipelines
using LLMs and vector databases
Create AI-powered automation, Einstein Bots, and intelligent assistants
Build secure integrations between Salesforce and external systems
Manage deployments using
CI/CD pipelines
(Git, GitHub, Azure DevOps)
Ensure security, scalability, and compliance of AI-driven solutions
Collaborate with cross-functional teams to deliver AI-enabled enhancements
Must-Have Skills :
Bachelor's degree in Computer Science or related field
5-7 years of hands-on
Salesforce development
experience
Strong experience with
AI/ML model development and deployment
Expertise in
Einstein / Einstein GPT
and Salesforce AI integrations
Solid understanding of
LLMs, transformers, vector databases, and RAG architectures
Proficiency in
Apex, LWC, Aura, APIs
, and Salesforce development tools
Experience with
CI/CD, Git, and DevOps practices
Good-to-Have Skills :
Salesforce certifications (Platform Developer, Einstein, AI Specialist)
Experience with
MLOps
and ML lifecycle management
Knowledge of
cloud platforms
(Azure, AWS, GCP)
Exposure to event-driven architectures and microservices
Job Type: Contractual / Temporary
Contract length: 6-12 months
Pay: ₹70,000.00 - ₹90,000.00 per month
Experience:
Python: 5 years (Required)
Salesforce: 5 years (Required)
Work Location: In person
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