Software Engineer - AI Agent Infra

ByteDance

$218K — $480K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in Computer Science or related field required.
  • Proficiency in programming languages like Go, Java, Python, C/C++, C#, or JavaScript.
  • Solid understanding of computer science fundamentals: data structures, algorithms, operating systems, networking, and databases.
  • Hands-on experience with distributed systems and high-availability backend services.
  • Strong problem-solving skills and ability to collaborate across teams.
  • (Preferred) Experience with AI Agent systems, LLM applications, and AI application infrastructure.
  • (Preferred) Familiarity with productionizing AI/ML applications and online quality improvement.

Responsibilities

  • Build foundational AI Agent infrastructure for the Security organization, including agent runtime and plugin ecosystems.
  • Design platform capabilities to help teams build and operate AI Agents efficiently with governance and reliability.
  • Drive implementation of AI Agent products for security operations, risk analysis, and intelligent workflow automation.
  • Develop robust backend services and APIs for AI Agent application lifecycles and internal tool integration.
  • Enhance quality and readiness of AI applications through evaluation, monitoring, and optimization efforts.
  • Apply current AI technologies to security scenarios for measurable business impact.
  • Collaborate with security experts to ensure practical application of AI capabilities.

Benefits

  • Day one access to medical, dental, and vision insurance.
  • 401(k) savings plan with company match.
  • Paid parental leave and short-term/long-term disability coverage.
  • Wellbeing benefits and life insurance.
  • 10 paid holidays and 10 paid sick days per year.
  • 17 days of Paid Personal Time with increasing accruals by tenure.
Full Job Description
Responsibilitie We are building the dedicated AI Agent infrastructure and product platform for the Security organization, enabling different business teams to rapidly build, deploy, and scale AI Agents for real-world security use cases. Our mission is to turn the latest advances in LLMs, AI Agents, and applied AI systems into production-ready capabilities that power security workflows end to end - from intelligent assistance and automated analysis to workflow execution and decision support. We focus on building a platform that is not only powerful, but also secure, controllable, auditable, and scalable. You will work at the intersection of AI application engineering, agent infrastructure, and security productization, partnering closely with security experts and product teams to bring high-impact AI capabilities into complex business scenarios. Responsibilities - Build the foundational AI Agent infrastructure for the Security organization, including agent runtime/frameworks, tool and plugin ecosystems, workflow orchestration, memory and knowledge/RAG systems, evaluation pipelines, observability, and cost governance. - Design and develop the platform capabilities that enable multiple business teams to build and operate AI Agents efficiently, with strong guarantees around access control, auditing, isolation, governance, and reliability. - Drive the implementation and iteration of AI Agent products and solutions for security scenarios, such as security operations assistance, investigation and triage, risk analysis, policy understanding and generation, automated Q&A, and intelligent workflow automation. - Build robust backend services and APIs that support the full lifecycle of AI Agent applications, including integration with internal tools, data systems, and business workflows. - Improve the quality and production readiness of AI applications through systematic work on evaluation, online experimentation, canary release, monitoring, fallback mechanisms, and performance optimization. - Stay current with frontier AI technologies and apply them pragmatically in high-value security scenarios, working closely with domain experts to turn emerging capabilities into measurable business impact. Qualification Minimum Qualifications - Bachelor's degree or above in Computer Science or a related field. - Proficiency in at least one programming language such as Go, Java, Python, C, C++, C#, or JavaScript, with strong backend engineering skills. - Strong computer science fundamentals, including data structures, algorithms, operating systems, networking, and databases. - Solid system design and engineering experience, with hands-on understanding of distributed systems, service architecture, caching, messaging, and high-availability backend services. - Strong problem-solving and execution skills, with the ability to collaborate effectively across engineering, product, and domain teams. Preferred Qualifications - Experience in AI Agent systems, LLM applications, RAG, tool use, workflow orchestration, or AI application infrastructure. - Experience productionizing AI/ML applications, including areas such as evaluation, prompt/system optimization, online quality improvement, and reliability engineering. - Interest in applying advanced AI technologies to high-impact security and enterprise scenarios. Job Information 【For Pay Transparency】Compensation Description (Annually) The base salary range for this position in the selected city is $218400 - $480000 annually. Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units. Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure). The Company reserves the right to modify or change these benefits programs at any time, with or without notice.

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