Sr. Software Engineer (genai Platform) (hybrid, Rou)

CrowdStrike CrowdStrike · Enterprise · Bucharest, Romania

Senior Software Engineer role focused on building and scaling CrowdStrike's internal Generative AI platform. The role involves developing backend services for RAG, inference load balancing, autonomous agents, and model orchestration. It also includes integrating with internal systems, building data processing pipelines, and engineering agentic workflows. The engineer will own features end-to-end and drive innovation in the GenAI space.

What you'd actually do

  1. Design and implement scalable cloud services using Go in a cloud-native environment
  2. Build reusable platform components and frameworks that other teams can leverage for their GenAI and agentic AI use-cases
  3. Develop and operate secure LLM deployments in both cloud and on-prem environments
  4. Create deep integrations with internal enterprise systems and establish frameworks for future connectors
  5. Build high-performance data processing pipelines for document handling and retrieval-augmented generation

Skills

Required

  • 7+ years of software engineering experience
  • 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

Nice to have

  • 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

What the JD emphasized

  • build and scale our rapidly growing internal Generative AI platform
  • autonomous agents
  • agentic AI use-cases
  • agentic workflows and autonomous agent capabilities
  • innovating in the agentic AI space

Other signals

  • building and scaling internal GenAI platform
  • retrieval-augmented generation systems
  • autonomous agents
  • model orchestration frameworks
  • agentic applications