Lead AI Engineer

🕒 Junho 22

🇮🇳 Índia – Remoto

⏰ Tempo Integral

🟠 Sênior

🤖 Engenheiro de IA

👻 Score fantasma 53%

O que significa: quão provável esta vaga está aberta sem contratação ativa.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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CrowdStrike

SiteLinkedInTodas as Vagas

5001 - 10000 funcionários

Fundada em 2011

🔒 Cibersegurança

☁️ SaaS

🤖 Inteligência Artificial

Cybersecurity • SaaS • Artificial Intelligence

A CrowdStrike é uma empresa de cibersegurança que oferece serviços de segurança em nuvem para impedir violações. É reconhecida como líder em proteção de endpoints, segurança de identidade e de nuvem, e detecção e resposta gerenciadas (MDR). A plataforma da CrowdStrike, Falcon, integra inteligência artificial para oferecer visibilidade, detecção e proteção em tempo real contra ameaças cibernéticas sofisticadas. A empresa é elogiada por sua eficácia na proteção de redes e dados, tornando-se um parceiro de confiança para empresas no mundo todo.

Descrição

• Lead engineering delivery for agentic AI capabilities for GTM stakeholders across Salesforce, Slack, third-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, and LangChain. • Define scalable enterprise AI architecture patterns, including model routing, orchestration, memory management, and governance strategies. • Design and optimize 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, including input validation, output sanitization, and prompt injection hardening. • Architect and implement CI/CD pipelines, deployment automation, and platform observability. • Use agentic AI and LLM-powered tooling as a core part of engineering practice. • Stay current with AI/ML technologies and apply them to GTM systems. • 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 using a build-versus-buy mindset. • Identify and automate manual processes to increase organizational leverage.

🎯 Requisitos

• Bachelor's degree in Computer Science, Engineering, or related field. • 8+ years of software engineering experience, with 3+ years in a lead or principal role. • 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. • Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. • Salesforce Platform Developer II or Application Architect certification (bonus). • Experience building Slack apps, Slack Workflow Builder, or Slack-integrated agentic workflows (bonus). • Hands-on experience with Salesforce Einstein / Agentforce platform development (bonus). • Contributions to open-source AI frameworks (LangChain, LlamaIndex, or similar) (bonus). • Exposure to fine-tuning or model evaluation on domain-specific GTM datasets (bonus). • Experience implementing model routing platforms or enterprise AI control planes (bonus). • Exposure to fine-tuning, model evaluation, synthetic data generation or GTM AI datasets (bonus).

🏖️ Benefícios

• 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