🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
Position : Cognitive Linguist (NLP/NLU/ML/AI Engineer) Location : Pennington, NJ (Hybrid: 3 days in office and 2 days remote) Duration: 12-month contract (ext. up to 36 months) Must-haves : Proven experience architecting and maintaining NLU intent frameworks Experience designing and curating datasets for machine learning pipelines (Looking for strong AI/ML Engineers with large enterprise client experience) Job Details: The successful candidate will be responsible for architecting, developing, and maintaining machine learning models and NLU frameworks that identify end-user intent across a multi-channel Virtual Assistant platform. This role focuses on designing scalable conversational AI solutions, optimizing model performance, and ensuring that the underlying intent-recognition architecture effectively supports web, mobile, and voice-based experiences. Responsibilities: Architect and maintain the NLU intent framework across enterprise domains (e.g., Technology, Human Resources), ensuring alignment with conversational solution design patterns for web, mobile, and voice experiences Design, engineer, and curate training and validation datasets to support machine learning pipelines for intent classification, speech recognition, and conversational AI performance optimization Develop and maintain model evaluation frameworks, telemetry pipelines, and observability tools to measure accuracy, reliability, and operational performance, enabling data-driven model tuning throughout the development lifecycle Design scalable disambiguation, fallback, and error-handling architectures that improve resilience and user experience as virtual assistant capabilities expand across domains and channels Analyze conversational telemetry, interaction flows, and runtime performance metrics to identify gaps, root causes, and optimization opportunities, implementing architectural improvements that enhance system effectiveness Partner with data scientists, product owners, UX researchers, and software engineers to design, build, and evolve the cognitive architecture and decisioning framework that powers the virtual assistant ecosystem Requirements: Proven experience architecting and maintaining NLU intent frameworks Experience designing and curating datasets for machine learning pipelines Ability to develop model evaluation frameworks and telemetry pipelines Knowledge of designing scalable error-handling architectures for virtual assistants Experience with Microsoft Office, including Excel
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.