AI Software Engineer - Task Force X

Description

Silverfort is a cyber-security startup that develops a revolutionary identity protection platform. Using patented technology, our product enables strong authentication across entire corporate networks and cloud environments, without any modifications to endpoints and servers. In addition, we use advanced behavior analytics to apply adaptive authentication policies and prevent cyber-attacks in real time.

Our mission is to provide industry-leading unified identity protection solutions for hybrid and multi-cloud environments. We develop cutting-edge cybersecurity technology that solves urgent customer needs today and is also a game-changer for years to come.

Silverfort’s team includes exceptional researchers, engineers, and technology experts who successfully tackle some of the most complex challenges in cyber-security. Silverfort has happy customers worldwide, strong market validation (including several industry awards), strategic partnerships with the largest security vendors in the world, and significant funding from leading VCs.

We’re building a new elite engineering unit – Task Force X – led by our CTO. This team’s mission is to revolutionize how we work by developing internal copilots and autonomous agents that increase productivity across the company. As a Senior Software Engineer on this team, you will help build and deploy AI-powered systems and tools that automate workflows, accelerate decision-making, and multiply impact across every department.

Responsibilities

• Design and implement internal copilots and agents using Python and AI frameworks
• Build integrations with internal systems, third-party tools, and data sources
• Develop scalable and maintainable software that supports autonomous workflows
• Monitor and continuously improve performance, reliability, and user impact of deployed agents
• Apply modern software development practices: testing, CI/CD, observability, and code reviews
• Stay up to date with emerging LLMs, agent frameworks, and best practices in AI-driven productivity
  
  

• At least 6 years of hands-on software development experience
• Strong proficiency in Python and JavaScript, with backend development experience
• Proven experience in building AI agents, autonomous systems, or developer copilots
• Deep understanding of system integration patterns, APIs such as REST and GraphQL, and cloud infrastructure
• Experience with LLM libraries and agent frameworks such as LangChain, LangGraph, or Semantic Kernel
• Strong problem-solving abilities, independent ownership, and collaborative mindset
• B.Sc. in Computer Science or equivalent experience
  
  

• Data science experience or familiarity with applied machine learning
• Experience with internal tooling or RPA/automation frameworks
• Exposure to cybersecurity or SaaS-based enterprise environments
• Background in designing user-facing or team-enablement tools