2 months ago
Base Salary
$150k - $180k/yr
Responsibilities
- Design and implement enterprise-grade agent-platform architecture, including ReAct, Plan-and-Execute, and Supervisor orchestration, tool execution, memory, governance, permissions, and safety guardrails.
- Build reusable agent skills, standardized tool interfaces, and scalable integrations with NetBrain workflows and platform capabilities.
- Develop LLM post-training, supervised fine-tuning, preference-alignment, LoRA, self-learning, and feedback-loop systems.
- Build LLM and agent evaluation frameworks, benchmark datasets, regression pipelines, quality gates, hallucination detection, and task-success metrics.
- Develop observability through distributed tracing, structured logging, metrics, dashboards, and alerting, and resolve production AI failures.
- Implement reliable backend services with asynchronous and concurrent processing, retries, timeouts, caching, rate limiting, fault isolation, and performance optimization.
- Prototype, benchmark, and productionize emerging technologies including GraphRAG, Knowledge Graphs, MCP, and agent self-learning.
- Collaborate with Engineering, Product, QA, and other teams to deliver production AI capabilities and guide technical architecture.
Requirements
- Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Electrical Engineering, or a related technical field, or equivalent practical experience; a master’s degree or Ph.D. is preferred.
- At least 3 years of experience in software engineering, machine learning, or applied AI, including at least 2 years building, deploying, and operating production-grade LLM or agent applications.
- Experience delivering at least one LLM-powered feature end-to-end and owning its operation and improvement after launch.
- Deep understanding of agent architectures, LLM behavior, tool calling, context sensitivity, multi-step workflows, state management, structured outputs, validation, and error recovery.
- Strong Python and distributed backend engineering skills, including API and service development, asynchronous programming, testing, logging, and cross-service debugging.
- Experience designing LLM evaluation systems, including dataset construction, metrics, regression testing, and release quality gates.
- Understanding of LLM and agent security risks such as prompt injection, data leakage, unsafe tool execution, permission boundaries, and uncontrolled autonomy.
- Preferred experience with RAG, embeddings, vector and hybrid search, reranking, chunking, grounding, citations, multi-hop retrieval, Knowledge Graphs, GraphRAG, agent runtimes, LangSmith, and LLM fine-tuning.
- Preferred experience applying LLM technologies to networking, infrastructure, cybersecurity, observability, or other complex technical domains.
- Fluency in English and Chinese is preferred.
Benefits
- Estimated base salary is $150,000–$180,000 plus bonus.
- Benefits include 401(k) and medical/dental coverage.
Categories
About NetBrain
NetBrain builds network automation and operations software for large enterprises and service providers, combining no-code runbooks and AI-driven diagnostics to map, troubleshoot, and safeguard changes across hybrid multi-cloud networks. The company sells subscriptions and licenses for its Next-Gen platform and tools for network discovery, documentation, and change management; it is privately held, founded in 2004, and headquartered in Burlington, Massachusetts. Its software is used by thousands of global enterprises and MSPs.