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AI Engineer

NetBrain · Burlington, MA | Hybrid · Hybrid · Active · Greenhouse

Job facts

FieldValue
CompanyNetBrain
TitleAI Engineer
Normalized title-
Department / teamResearch & Development
LocationBurlington, MA, United States
Work modelHybrid / Hybrid
Employment type-
Salary-
Statusactive
ATS providerGreenhouse
Posted / first seen2026-04-21 / 2026-05-29
Changed / last seen2026-05-29 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from NetBrain.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through Greenhouse.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in Burlington.Open
Department jobsActive postings in Research & Development.Open
Work model jobsActive Hybrid postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyNetBrain
Sourcef070a25a-acb1-4d39-a4e1-4997515c0815
ATS providerGreenhouse

Description

Founded in 2004, NetBrain is the leader in no-code network automation. Its ground-breaking Next-Gen platform provides IT operations teams with the ability to scale their hybrid multi-cloud connected networks by automating the processes associated with Diagnostic Troubleshooting, Outage Prevention and Protected Change Management. Today, over 2,500 of the world’s largest enterprises and managed services providers leverage NetBrain’s platform. What We Need We’re looking for a Senior AI Engineer to design and build production-grade agent and RAG systems that power intelligent, reliable automation across our platform. This role combines hands-on engineering with system-level thinking—owning everything from architecture and evaluation to scalability, observability, and reliability in production. The ideal candidate thrives in ambiguity, moves quickly from prototype to production, and brings a strong focus on quality, safety, and real-world impact. What You'll Do Agent Platform & Architecture Design and build core agent platform capabilities, including orchestration patterns (e.g., ReAct, Plan-and-Execute), tool execution layers, memory/context management, and guardrails Develop reusable agent skills and a standardized tool ecosystem aligned with platform conventions Implement enterprise-grade controls for agent execution, including human-in-the-loop workflows, permissioning, and policy enforcement Retrieval & AI Systems Design and implement RAG services, including hybrid retrieval, reranking, embeddings, and citation behavior Define evaluation frameworks and quality metrics to ensure grounded, reliable outputs Production Engineering & Reliability Build automated evaluation and regression pipelines to maintain quality at scale Establish observability (tracing, metrics, alerting) and optimize systems for latency, throughput, and cost Define best practices and incident response processes to ensure production readiness Applied Research & Technical Strategy Prototype and productionize emerging approaches (e.g., GraphRAG, knowledge graphs, MCP integrations) Evaluate AI frameworks and infrastructure (e.g., LangChain, LangGraph, AutoGen, LlamaIndex) and guide platform decisions Technical Execution Diagnose and resolve complex AI system issues (retrieval quality, hallucinations, prompt regressions, agent failures) Lead system design and drive technical decisions through hands-on prototyping and benchmarking What You Bring BS in Computer Science, AI, Electrical Engineering, or related field (advanced degree preferred or equivalent experience) 5+ years of software engineering experience, including building and deploying production-grade LLM, agent, or RAG systems Proven track record of shipping and supporting AI-powered features in production Strong Python skills (API design, testing, error handling, environment management) Working proficiency in C# or C++ Deep understanding of RAG system design and evaluation methodologies Experience building evaluation frameworks (test sets, metrics, regression pipelines) Understanding of LLM security risks (prompt injection, data leakage, agent misuse) Experience with graph databases, knowledge graphs, or GraphRAG preferred Experience designing human-in-the-loop systems and execution controls preferred Experience with agent frameworks (e.g., LangChain, LangGraph, AutoGen, LlamaIndex) You are able and willing to commute to our Burlington, MA headquarters twice a week on a hybrid schedule Manual Dexterity: Repetitive motion of wrists, hands and fingers for using a computer. Stationary Tasks: Sitting for extended periods, remaining in a stationary position. What We Offer Our comprehensive compensation package is vital in how we recognize our people for the impact they make on us reaching our goals as a company. For this role, the estimated base is $150,000 - $180,000 + Bonus. The actual salary may vary based on a range of factors, including market and individual qualifications objectively assessed during the interview process. The range listed above is a guideline and may be modified. People Experience offers a comprehensive benefits package in addition to cash compensation that includes but is not limited to 401k and medical/dental coverage. Speak with your Recruiter for more details on our Total Rewards philosophy. NetBrain invites all interested and qualified candidates to apply for employment opportunities. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, or other characteristics protected by law. If you have a disability that prevents or limits your ability to use or access the site, or if you require any other accommodation in the application process due to a disability, you may request a reasonable accommodation. To make a request, please contact our People Team at: [email protected] and we will be happy to assist you. In compliance with applicable laws, NetBrain conducts holistic, individual background reviews in support of all hiring decisions. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Full job record

Job ID7dee7e4f7949ed4dbf4a7cb8c89c496564609499
Org ID183c1be6-c323-4421-a161-2542cf1c670d
Source IDf070a25a-acb1-4d39-a4e1-4997515c0815
Board IDf070a25a-acb1-4d39-a4e1-4997515c0815
Providergreenhouse
Provider Job Key5102519007
TitleAI Engineer
Normalized Title
Statusactive
Activeyes
Location TextBurlington, MA | Hybrid
DepartmentResearch & Development
Team
Employment Type
Workplace Typehybrid
Remote Policyhybrid
CountryUnited States
RegionMA
CityBurlington
Salary Raw
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://job-boards.greenhouse.io/netbrain/jobs/5102519007
Apply URLhttps://job-boards.greenhouse.io/netbrain/jobs/5102519007
First Seen At2026-05-29 23:04:46Z
Last Seen At2026-06-06 07:36:02Z
Last Checked At2026-06-06 07:36:02Z
Last Changed At2026-05-29 23:04:46Z
Inactive At
Source Posted At2026-04-21 15:06:05Z
Source Updated At2026-05-22 11:38:33Z
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=greenhouse/board=netbrain/date=2026-06-06/2026-06-06T07-36-01-912Z-f981681a1eb4aec8f2c134392944d10b43ec34f51147a70d01012c1b74ff85e2.json
Event Fields
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}
Parsed Structured
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  "launch_scope": {
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}
Extensions
{}
Native Structured
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  "requisition_id": 4615623007,
  "first_published": "2026-04-21T11:06:05-04:00",
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