AI Engineer(Backend)- LMTS/SMTS

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Software Engineering

Job Details

About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we’re looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce’s core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Engineer the Application Transformation Layer for all Salesforce Applications

This is not just a role; it’s a revolution. Are you ready to architect the next generation of enterprise solutions at the intersection of AI + Data + CRM?

Position Overview

As a trailblazing AI Applications Engineer specializing in modern tools(eg Langchain), you will be the core driver of innovation. Your mandate is clear: design, fine-tune, and optimize for a diverse portfolio of high-impact enterprise use cases like moving entire customizations from one stack to another.

You will be developing state-of-the-art solutions that fundamentally transform how organizations leverage AI in their critical workflows. This requires a mastery of backend engineering, AI Tools, —all focused on extracting the maximum potential from LLMs.

Join interdisciplinary teams to seamlessly integrate these cutting-edge AI technologies into the heart of the Salesforce product ecosystem. Furthermore, you will directly empower almost ALL of our Application teams by collaborating closely to bring their visionary ideas to fruition and by building essential tooling to accelerate their success. This is your chance to build a legacy by defining the future of AI.

Key Responsibilities

• Build and ship high-quality, production-grade software using modern engineering practices, with AI as a core part of your development workflow by pushing the boundaries of AI development tools to deliver secure, optimized, and high-quality code.
• Design and orchestrate complex systems where AI agents integrate seamlessly into human workflows, driving efficiency and innovation at scale.
• Contribute to building and maintaining the shared system context, an explicit repository of system designs, constraints, and standards that enables AI to operate accurately and reliably.
• Critically evaluate code (Human or AI-generated) for correctness, quality, security, and performance
• Leverage tools such as LangChain to creatively and resourcefully tackle problems, maintaining an open-minded approach to implementation.
• Good grasp & experience with full stack development( datamodelling concepts, business logic, UI)
• Translating business requirements into viable AI solutions and effectively conveying intricate technical concepts to non-technical audiences.
• Proven experience working in cross-functional teams to deliver impactful results.
• Ability to effectively communicate and execute with geographically distributed teams.
• Experience in a fast-paced technical environment with changing priorities
• Ability to develop and ship products in quick increments across multiple versions
• Be a proactive self-starter

Required Qualifications

• Strong expertise in using LLMs & AI application frameworks(eg LangChain)
• A demonstrated, genuine AI-first approach to engineering. Using AI to move faster, build fluency across the stack, and contribute well beyond your core specialty.
• Experience using AI tools (e.g., Claude Code, GitHub Copilot, Codex, Cursor, etc.) in development workflows
• Advanced prompt engineering skills and the ability to write precise, structured prompts and cultivate the system context that makes AI outputs reliable, secure, and production-ready.
• 5+ years of professional software development experience
• High proficiency in Python and Java programming language
• Experience in REST-based API development, API lifecycle management and/or client SDKs development
• Solid understanding of both relational and non-relational databases.
• Experience with developer tools such as Git and Jenkins
• Demo…