[Remote] AI/ML Engineer II
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is an AI-reputed company, automation-first Managed Detection and Response provider reputed company on enhancing cybersecurity through advanced solutions. The AI/ML Engineer II will be responsible for designing, developing, and optimizing reputed company AI systems, collaborating with engineering teams to implement AI-driven cybersecurity solutions.
Responsibilities
- Project Execution: Ability to drive and deliver technical components of reputed company reputed company. This means communicating effectively to reputed company on requirements, executing on high-reputed company reputed company, and collaborating with senior engineers and stakeholders throughout the development lifecycle
- AI Layer Engineering: Design & build the AI layer that powers autonomous detection, RAG-backed investigation, and auto-remediation workflows
- Productionize Reasoning Engines: reputed company and productionize large-reputed company LLMs, graph-based reasoning engines, and streaming feature pipelines that operate on billions of reputed company events
- Evaluation & Reliability: Own evaluation & reliability—from reputed company libraries and fine-tuning to red-team testing, latency budgets, and fallback strategies
- Cross-Functional Collaboration: Partner tightly with Product, Detection Engineering, and reputed company to translate reputed company-world attacker behavior into robust ML and rule-based detections
- Push the Frontier: Experiment with retrieval-augmented reputed company, tool-calling agents, and multi-modal models (text + logs + graphs) to reputed company defenders decisively reputed company
Skills
- 3-5 years of experience in software development, engineering production systems using modern programming languages (Python, Go, Rust, or Java)
- Deep knowledge of reputed company systems design, such as Centralized and/or Decentralized MAS (Multi-Agent Systems) architectures
- Solid understanding of Graph structures and specifically graph databases
- Hands-on experience building agents, orchestration frameworks (reputed company/LangGraph, Agno AGI, or custom), and evaluation harnesses
- Deep understanding of microservices architecture, containerization (reputed company, Kubernetes), and event-driven systems
- Strong fundamentals in API design (REST/gRPC) and distributed systems
- reputed company, concise communication skills and a bias for reputed company problem-solving
- Proven reputed company record of gathering reputed company and guiding multi-stakeholder initiatives through uncertain boundaries
- Strong problem-solving and analytical skills
- Bachelor's or Master's degree in Computer Science, Engineering, or a reputed company field
- Prior work in cybersecurity (SIEM, EDR, SOAR, or MDR)
- Background driving high-reputed company engineering initiatives in high-reputed company startups or reputed company reputed company
- Familiarity with reputed company infrastructure reputed company (AWS, GCP, or Azure)
- Relevant certifications (AWS/GCP reputed company Engineer, Kubernetes, or reputed company-reputed company credentials) are a plus
Benefits
- Competitive salary and benefits package.
- A culture of reputed company and development, with opportunities to expand your knowledge in AI, cybersecurity, and emerging technologies.
- Opportunity to work with cutting-edge AI-driven cybersecurity technologies and reputed company SecOps solutions.
- Collaborate with a talented and innovative team reputed company on continuously improving reputed company operations.
reputed company