Sr. AI Engineer - 2.00 Pm to 11.00 Pm Ist (remote, Ind)

CrowdStrike CrowdStrike · Enterprise · India · Remote

Senior AI Engineer role focused on building agentic AI solutions within CrowdStrike's GTM technology stack, including LLM-powered workflows, autonomous agents, and RAG systems. Requires strong software engineering skills, experience with AI orchestration frameworks, and Salesforce development.

What you'd actually do

  1. Lead engineering delivery for agentic AI capabilities for GTM stakeholders across its technology stack(Salesforce, Slack, 3rd party apps) and In-House Platforms.
  2. Design and build LLM-powered workflows, autonomous agents,multi-agent systems and AI-enhanced integrations using Agentcore, Slack, MCPs,Langchain
  3. Define scalable enterprise AI architecture patterns including model routing, orchestration,memory management and governance strategies
  4. Design and optimize Retrieval Augmented Generation(RAG) systems, semantic search pipelines,vector retrieval strategies and enterprise knowledge grounding frameworks.
  5. Build and maintain Apex, Lightning Web Components, Salesforce Platform Events, and Agentforce agent actions.

Skills

Required

  • Python
  • TypeScript/JavaScript
  • Agentic AI frameworks
  • document parsing
  • structured extraction pipelines
  • enterprise AI applications
  • autonomous agents
  • LLM powered systems
  • AI orchestration frameworks (LangGraph, Semantic Kernel, CrewAI, AutoGen, MCP, Langchain)
  • Salesforce development (Apex, LWC, REST/SOAP integrations, Platform Events, Agentforce)
  • vector databases
  • retrieval optimization techniques
  • AWS bedrock
  • Vertex AI
  • workflow orchestration
  • CI/CD tooling (GitHub Actions, Copado, Jenkins)
  • DevOps practices
  • LLM limitations
  • token economics
  • model selection trade-offs

Nice to have

  • Salesforce Platform Developer II or Application Architect certification
  • Slack apps development
  • Salesforce Einstein / Agentforce platform development
  • Contributions to open-source AI frameworks (LangChain, LlamaIndex)
  • fine-tuning
  • model evaluation on domain-specific GTM datasets
  • model routing platforms
  • enterprise AI control planes
  • synthetic data generation
  • GTM AI datasets

What the JD emphasized

  • agentic AI
  • LLM-powered workflows
  • autonomous agents
  • multi-agent systems
  • RAG
  • Salesforce

Other signals

  • agentic AI
  • LLM-powered workflows
  • autonomous agents
  • multi-agent systems
  • RAG