Senior Salesforce Engineer
First seen by Alion on Oct 16, 2026.
Job Description :
Key Responsibilities :
- Develop, customize, and maintain Salesforce applications using Apex, Lightning Web Components (LWC), and Salesforce platform technologies.
- Integrate Salesforce with AI services, LLMs, and third-party enterprise applications.
- Build AI-powered features, intelligent workflows, and automation solutions.
- Develop and maintain REST APIs and integrations between Salesforce and external systems.
- Leverage generative AI technologies to improve business workflows and user experiences.
- Implement AI-driven automation and intelligent agents to streamline business processes.
- Design secure and scalable solutions that connect Salesforce data with AI services.
- Troubleshoot, debug, and optimize applications for performance, reliability, and security.
- Collaborate with business stakeholders, architects, and cross-functional teams to understand requirements and deliver technical solutions.
- Perform code reviews, testing, and documentation while following Salesforce development best practices.
- Stay updated on emerging Salesforce capabilities, AI technologies, and industry trends.
Required Skills & Experience :
- Hands-on experience in Salesforce development and customization.
- Strong knowledge of Apex, Lightning Web Components (LWC), and Salesforce platform architecture.
- Experience with Salesforce APIs, REST/SOAP integrations, and external system connectivity.
- Understanding of AI/ML concepts, generative AI, and Large Language Models (LLMs).
- Experience integrating AI services or LLM APIs into enterprise applications.
- Knowledge of prompt engineering and AI workflow automation.
- Proficiency in JavaScript or other relevant programming languages.
- Understanding of data modeling, databases, authentication, and application security.
- Experience with Git, testing frameworks, and CI/CD practices.
- Strong analytical, problem-solving, and communication skills.
Good to Have :
- Experience with Salesforce Einstein or Agentforce.
- Familiarity with OpenAI, Anthropic Claude, Gemini, or similar LLM platforms.
- Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and AI agent frameworks.
- Experience with MuleSoft or other enterprise integration platforms.
- Exposure to AWS, Azure, or Google Cloud.
- Relevant Salesforce developer or AI certifications.
Preferred Candidate Profile :
- Ability to combine Salesforce development expertise with AI integration and automation.
- Experience delivering secure, scalable, production-ready enterprise solutions.
- Strong collaboration skills and the ability to translate business requirements into technical implementations.
Skills
Salesforce, Salesforce Integration, Apex, Salesforce LWC, Lightning Component Framework, REST API, Salesforce API, Salesforce Agentforce, SFDC Einstein