AI Engineer
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Job Description
Lead engineering delivery for agentic AI capabilities in CrowdStrike's GTM technology stack. Designing and optimizing AI-enhanced integrations and workflows across Salesforce, Slack, and more.
Responsibilities:
- Lead engineering delivery for agentic AI capabilities for GTM stakeholders across its technology stack(Salesforce, Slack, 3rd party apps) and In-House Platforms.
- Design and build LLM-powered workflows, autonomous agents, multi-agent systems and AI-enhanced integrations using Agentcore, Slack, MCPs, Langchain.
- Define scalable enterprise AI architecture patterns including model routing, orchestration, memory management and governance strategies.
- Design and optimize Retrieval Augmented Generation(RAG) systems, semantic search pipelines, vector retrieval strategies and enterprise knowledge grounding frameworks.
- Build and maintain Apex, Lightning Web Components, Salesforce Platform Events, and Agentforce agent actions.
- Implement AI evaluation frameworks including prompt quality benchmarking, hallucination reduction and model performance monitoring.
- Mentor senior and mid-level engineers; conduct code reviews and enforce AI engineering standards.
- Define error handling, fallback strategies, and graceful degradation patterns for non-deterministic AI systems.
- Retire legacy integrations and replace them with modern, agentic, event-driven patterns.
- Champion security-first AI engineering: input validation, output sanitization, and prompt injection hardening.
- Architect and implement CI/CD pipelines, deployment automation, and platform observability.
- Embrace Agentic AI and LLM-powered tooling as a core part of your engineering practice.
- Stay current with rapidly evolving AI/ML technologies and apply them pragmatically to GTM systems.
- Champion automation-first thinking — if it can be agentic, make it agentic.
- Build internal tools and apps to streamline data access and GTM decision-making.
- Implement data governance and monitoring frameworks to enhance GTM system quality.
- Evaluate vendors and AI platforms with a strategic build vs. buy mindset.
- Identify and automate manual processes to increase organizational leverage.
Requirements:
- Bachelor's degree in Computer Science, Engineering, or related field.
- 5+ years of software engineering experience
- Strong proficiency in Python and TypeScript/JavaScript for AI and integration development.
- Hands-on production experience with Agentic AI frameworks, document parsing and structured extraction pipelines, building enterprise AI applications, autonomous agents and LLM powered systems.
- Experience with modern AI orchestration frameworks such as LangGraph, Semantic Kernel, CrewAI, AutoGen, MCP, Langchain and similar frameworks
- Salesforce development experience: Apex, LWC, REST/SOAP integrations, Platform Events, and Agentforce.
- Proficiency with vector databases and retrieval optimization techniques.
- Experience with cloud infrastructure including AWS bedrock, Vertex AI, workflow orchestration, CI/CD tooling (GitHub Actions, Copado, Jenkins) and DevOps practices.
- Solid understanding of LLM limitations, token economics, and model selection trade-offs.
Benefits:
- Market leader in compensation and equity awards
- Comprehensive physical and mental wellness programs
- Competitive vacation and holidays for recharge
- Paid parental and adoption leaves
- Professional development opportunities for all employees regardless of level or role
- Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
- Vibrant office culture with world class amenities
- Great Place to Work Certified™ across the globe
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