AI Engineer (remote, Ind)

CrowdStrike CrowdStrike · Enterprise · India · Remote

This role focuses on engineering and delivering agentic AI solutions within CrowdStrike's Go-To-Market technology stack, including designing and building LLM-powered workflows, autonomous agents, and AI-enhanced integrations. It involves defining enterprise AI architecture patterns, optimizing RAG systems, implementing AI evaluation frameworks, and mentoring engineers. The role also requires building and maintaining Salesforce components and CI/CD pipelines, with a strong emphasis on security-first AI engineering and automation.

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. Implement AI evaluation frameworks including prompt quality benchmarking, hallucination reduction and model performance monitoring

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
  • cloud infrastructure (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
  • building Slack apps
  • Slack Workflow Builder
  • Slack-integrated agentic workflows
  • Salesforce Einstein / Agentforce platform development
  • Contributions to open-source AI frameworks (LangChain, LlamaIndex, or similar)
  • 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
  • autonomous agents
  • multi-agent systems
  • LLM-powered workflows
  • RAG
  • vector retrieval
  • AI evaluation frameworks
  • prompt injection hardening
  • security-first AI engineering

Other signals

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