About the Role:
Join CrowdStrike's GenAI Hub team to help build and scale our rapidly growing internal Generative AI platform that serves over 8,000 active users across the company. You'll develop robust backend services powering our comprehensive GenAI ecosystem - from retrieval-augmented generation systems and inference load balancing to autonomous agents and model orchestration frameworks. Our platform is both a direct productivity tool for everyday use and a foundation for teams to develop their own AI-powered solutions and agentic applications.
About the Team:
You'll join a high-performing team of experienced engineers building CrowdStrike's central GenAI platform. We operate in a fast-paced environment where engineers are expected to own delivery of work with complete autonomy and trust. The team follows a startup mentality with weekly planning sessions and checkpoints, emphasizing quick execution without compromising quality. You'll collaborate closely with our data science team, UX designers, product managers, and AI champions from across the organization.
What You'll Do:
Design and implement scalable cloud services using Go in a cloud-native environment
Build reusable platform components and frameworks that other teams can leverage for their GenAI and agentic AI use-cases
Develop and operate secure LLM deployments in both cloud and on-prem environments
Create deep integrations with internal enterprise systems and establish frameworks for future connectors
Build high-performance data processing pipelines for document handling and retrieval-augmented generation
Engineer agentic workflows and autonomous agent capabilities that can perform complex tasks with minimal human intervention
Engage directly with internal users across departments to understand requirements and provide technical consultation
Own features end-to-end, from design through deployment and operation, including on-call responsibilities
Drive innovation in the rapidly evolving Generative AI landscape
Required Skills:
7+ years of software engineering experience
Genuine passion for Generative AI technologies and applications
Strong proficiency in Go or any modern programming language for backend service development
Deep understanding of cloud-native architectures and microservices
Experience with AWS services (S3, Bedrock, Sagemaker, RDS)
Practical knowledge of operating production services - CI/CD, monitoring (Grafana, Prometheus), and Kubernetes
Strong grasp of multithreading, concurrency, and parallel processing
Experience with LLM integrations and AI/ML platforms
Knowledge of message queues and event-driven architectures
Experience in designing, building and maintaining APIs aligned with industry standards
Understanding of engineering best practices - code reviews, testing, resilient architecture
Excellent problem-solving and debugging skills
Strong written and verbal communication skills
Essential Qualities:
Self-starter mentality with proven ability to drive projects independently
Comfortable managing multiple competing priorities in a fast-paced environment
Proactive in identifying and solving technical challenges
Strong collaboration skills for working with diverse stakeholders
Ability to make technical decisions with incomplete information
Enthusiasm for innovating in the agentic AI space, not just implementing existing solutions
Willingness to explore new approaches and challenge conventional thinking
Preferred Qualifications:
Experience as a technical lead or team lead, coordinating projects and partnering with engineering management on roadmap planning
Understanding of vector databases and retrieval-augmented generation implementations
Experience building agentic workflows and autonomous agent systems
Familiarity with Python for integration with AI/ML libraries and tools
Security-first mindset with experience building systems that meet high privacy and compliance requirements
Background in enterprise SaaS products
Track record of mentoring other engineers
