AI/ML Engineer — Job Posting

Skip to content Search • Hire From Us • Submit Resume • Q&A ","library":"fa-solid"},"layout":"horizontal","ekit_we_effect_on":"none"}" data-widget_type="nav-menu.default"> • Solutions • Career Training Program (CTP) • Managed Service Provider (MSP) • Professional Employer Organization (PEO) • Recruitment Process Outsourcing (RPO) • Talent On Demand • Staff Augmentation • Contract to Hire • Direct Hire • Executive Search • Who We Serve • Enterprises • Scaling Companies • Startups • Industries • Information Technology • Medical & Pharma • Consumer Products • Finance & Administration • Supply Chain & Logistics • Online Courses • DevOps • Business Analyst (BA) • Java Development • Data Analyst (DA) • Data Science • Quality Analyst (QA) • Statistical Analysis System (SAS) • Cloud Computing & Azure • SQL • About Us • Career • Methodology • Commitments • Reviews • Resources • Jobs • Blog • Solutions • Career Training Program (CTP) • Managed Service Provider (MSP) • Professional Employer Organization (PEO) • Recruitment Process Outsourcing (RPO) • Talent On Demand • Staff Augmentation • Contract to Hire • Direct Hire • Executive Search • Who We Serve • Enterprises • Scaling Companies • Startups • Industries • Information Technology • Medical & Pharma • Consumer Products • Finance & Administration • Supply Chain & Logistics • Online Courses • DevOps • Business Analyst (BA) • Java Development • Data Analyst (DA) • Data Science • Quality Analyst (QA) • Statistical Analysis System (SAS) • Cloud Computing & Azure • SQL • About Us • Career • Methodology • Commitments • Reviews • Resources • Jobs • Blog ","library":"fa-solid"},"toggle":"burger","ekit_we_effect_on":"none"}" data-widget_type="nav-menu.default"> • Solutions • Career Training Program (CTP) • Managed Service Provider (MSP) • Professional Employer Organization (PEO) • Recruitment Process Outsourcing (RPO) • Talent On Demand • Staff Augmentation • Contract to Hire • Direct Hire • Executive Search • Who We Serve • Enterprises • Scaling Companies • Startups • Industries • Information Technology • Medical & Pharma • Consumer Products • Finance & Administration • Supply Chain & Logistics • Online Courses • DevOps • Business Analyst (BA) • Java Development • Data Analyst (DA) • Data Science • Quality Analyst (QA) • Statistical Analysis System (SAS) • Cloud Computing & Azure • SQL • About Us • Career • Methodology • Commitments • Reviews • Resources • Jobs • Blog Menu • Solutions • Career Training Program (CTP) • Managed Service Provider (MSP) • Professional Employer Organization (PEO) • Recruitment Process Outsourcing (RPO) • Talent On Demand • Staff Augmentation • Contract to Hire • Direct Hire • Executive Search • Who We Serve • Enterprises • Scaling Companies • Startups • Industries • Information Technology • Medical & Pharma • Consumer Products • Finance & Administration • Supply Chain & Logistics • Online Courses • DevOps • Business Analyst (BA) • Java Development • Data Analyst (DA) • Data Science • Quality Analyst (QA) • Statistical Analysis System (SAS) • Cloud Computing & Azure • SQL • About Us • Career • Methodology • Commitments • Reviews • Resources • Jobs • Blog Contact Us Home » AI/ML Engineer — Job Posting Home » AI/ML Engineer — Job Posting AI/ML Engineer — Job Posting • 33 Irving Pl, Manhattan, New York, United States • Full-time • $150000 • - $220000 Overview We are looking for a production-minded AI/ML Engineer to design, build, train, and deploy the machine learning systems that power our real-time copilot. This is a full-stack ML role spanning the entire lifecycle — from data pipelines and model training to deployment, optimization, and monitoring in production. You will work at the intersection of LLMs, speech AI, retrieval systems, and real-time inference, building systems that must be fast, reliable, and scalable for millions of users. Responsibilities Key Responsibilities • Model Development & Training • Build, train, and fine-tune ML models including LLMs, NLP systems, and speech-to-text models • Apply modern techniques like LoRA, QLoRA, DPO, RLHF, and adapters • Design high-quality training datasets through cleaning, annotation, and augmentation • Run experiments, ablations, and performance evaluations to improve model quality • Real-Time Model Deployment • Build low-latency inference pipelines for real-time AI responses • Optimize performance using streaming, caching, batching, and quantization • Deploy models using Docker, Kubernetes, and CI/CD pipelines • Integrate multiple LLM providers with routing, failover, and orchestration systems • RAG & AI Systems • Build retrieval-augmented generation (RAG) pipelines using embeddings and vector databases • Develop semantic search, summarization, classification, and NLP features • Design prompt systems, tool calling, and multi-turn conversational flows • Build agentic workflows with function calling and multi-step reasoning • Evaluation & Monitoring • Create automated and human evaluation systems for model quality • Track latency, hallucinations, accuracy, cost, and user satisfaction metrics • Implement drift detection and regression monitoring • Optimize token usage and inference costs across models • Data & Feature Engineering • Build scalable data pipelines for training and production use • Design feature extraction systems from user interactions and logs • Implement data versioning, lineage tracking, and experiment tracking • Collaborate with analytics and engineering teams on data infrastructure • Safety & Responsible AI • Implement guardrails, filters, and safety validation systems • Evaluate models for bias, fairness, and robustness • Ensure privacy-first design and secure handling of user data • Support responsible AI practices across the ML lifecycle Qualifications Required Qualifications Experience 3+ years in ML engineering or AI system development Proven experience shipping production AI/ML systems end-to-end Strong cross-functional collaboration experience Startup Or Fast-paced Environment Experience Preferred Technical Skills Strong Python and ML frameworks (PyTorch, TensorFlow, JAX) Deep understanding of transformers, deep learning, and optimization Experience with LLM APIs (OpenAI, Anthropic, open-source models) Hands-on RAG and vector database experience Docker, Kubernetes, FastAPI, CI/CD for ML systems Cloud platforms (AWS, GCP, or Azure) Organization LockedIn AI Industry AI/ML Engineer Benefits What We Offer • Equity Ownership — meaningful early-stage equity • High Impact — your work powers AI used by 1M+ users • Fast Growth — ship production AI systems at startup speed • Remote Flexibility — work from anywhere (US-based optional NYC hybrid) • Strong Mission — build category-defining AI career tools • Ownership Culture — full-stack responsibility from idea to production Why Join Us? • You’ll own core ML systems powering a real-time AI copilot • You’ll work directly on cutting-edge LLM and speech AI systems • You’ll build systems used in live interviews and real-world scenarios • You’ll move faster than traditional big-tech ML environments • You’ll help shape the future of AI-powered career tools Apply Now Apply Now make a difference Unlock Your Potential and Experience Tremendous Growth Opportunities Achieve work/life balance, earn the money you deserve! 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