Software Engineering LMTS- AI/LLM

Salesforce is hiring a Software Engineering LMTS- AI/LLM in India - Bangalore.

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job Category Software Engineering Job Details

Responsibilities

• Own the architecture vision and multi-year roadmap for Salesforce's Trusted Supply Chain platform — scanning, attribution, remediation, and runtime defense across public cloud and private infrastructure.
• Lead the AI-native rebuild of our supply-chain stack. Design and ship agentic systems that triage findings, author fixes, validate them in CI, and close the loop without human keystrokes for the well-understood cases - freeing engineers to focus on novel risk.
• Champion operational excellence. Feed incident learnings back into design. Build for fault isolation, graceful degradation, and observability from day one.
• Partner with PMs and EMs on build-vs-buy decisions and time-to-market vs. long-term sustainability tradeoffs.
• Coach Salesforce application teams on supply-chain and AppSec best practices; be the voice of TSC in the Salesforce Principal community.
• Track and adopt the most relevant trends in supply-chain security, agentic AppSec, ML-assisted vulnerability discovery, secure software development, and AI safety.
• Mentor engineers — advocate for their contributions and career development; raise the technical bar across the team.

Requirements

• M.S. or Ph.D. in Computer Science or equivalent practical experience.
• 10+ years building applications or systems software at scale.
• 5+ years in public-cloud environments with container-based technologies (Docker, Kubernetes, Istio, service mesh).
• Strong, active coding skills in at least two of Go, Java, Python, Rust, C# , with deep attention to code quality and secure-by-default patterns.
• Experience with stateful, service-oriented architectures and the design tradeoffs they impose (consistency, partitioning, recovery).
• Experience with relational and NoSQL stores and pub/sub messaging (Kafka, RabbitMQ, SQS).
• Demonstrated ability to define technology strategy and execute multi-year roadmaps through ambiguity.
• Track record of incremental architectural evolution, refactoring, and safely prototyping new features in production.
• Excellent written and verbal communication; proven ability to drive alignment with executives, peers, and engineers on contentious technical decisions.

AI / agentic engineering This role is for someone who will build the next supply-chain stack, not just specify it. We expect:

• Hands-on experience building production systems with LLMs - RAG pipelines, function/tool calling, structured output, evals, guardrails.
• Working knowledge of agentic patterns: multi-agent orchestration, planner/executor loops, tool-augmented reasoning, agent memory and context management, human-in-the-loop checkpoints.
• Practical fluency with the modern AI developer stack — at least one of: Anthropic Claude / OpenAI / similar foundation-model APIs; agent frameworks (LangGraph, CrewAI, AutoGen, or equivalent); MCP (Model Context Protocol); evaluation harnesses (LangSmith, Braintrust, custom).
• Proven daily use of AI-assisted coding tools (Claude Code, Cursor, Copilot) including authoring custom agents, slash commands, hooks, and skills — and a clear point of view on when to use them and when not to.

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 t