3,220 ai developer jobs at 1,155 companies in Hoboken, NJ
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AI Developer
New York, New York, United States
$115k/yrOnsiteFull Time
thelab: Full-service digital production agency providing e-commerce and creative solutions.
Bachelor's degree or equivalent experience in CS/SE/AI, strong Python, experience with AI frameworks/APIs, REST APIs, cloud services, Git, prompt engineering, and ML fundamentals.
Python, JavaScript, TypeScript, SQL, OpenAI, Anthropic, Gemini, LangChain, LangGraph, LlamaIndex, Azure, AWS, Google Cloud, Docker, Git, CI/CD, REST APIs, Prompt Engineering, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Vector databases, AI Agents
CHEQ: Provides Go-to-Market security software to block bot traffic.
2+ YOE2+ years building and shipping AI products; hands-on with LLMs, AI agents, RAG, APIs, data pipelines, Snowflake; coding in Python/SQL/JavaScript/TypeScript; strong business acumen and stakeholder communication.
AlphaLife Sciences: AI-powered SaaS platform for clinical research and medical writing.
6+ YOE3+ Mgmt6+ years software engineering experience with 3+ years leading AI/ML initiatives; proficiency in Python and another language (Java, C++); hands-on experience with Generative AI, LLMs, RAG, AI agents and production deployment; BS/MS in CS/AI/Data Science.
New York or Los Angeles or Boston or Jersey City or Houston
$115k-$130k/yrRemoteAll Commitments Available
Makai Labs: Provides AI-powered enterprise automation and human-machine teaming solutions.
Hands-on AI engineer with Python skills; experience building AI apps; internship/coursework/research or projects; ability to prototype and iterate quickly.
NewmarkNASDAQ: NMRK: Commercial real estate brokerage and property management services.
5+ YOEBachelor's in CS/ML or related,5+ years software engineering,2+ years building AI/LLM applications,experience with agentic AI,production C++ and Python skills,LLM patterns,APIs,microservices,cloud,and responsible AI practices.
Pivot: Cloud-based software for managing and automating corporate procurement processes.
5+ YOE5+ years software engineering; 2+ years shipping AI/ML features; strong Python or another backend language; experience with LLM stack and production-grade AI systems.
PepsiCoNASDAQ: PEP: Global food and beverage manufacturer and distributor.
6+ YOEBachelor in CS/AI/ML or equivalent; 6-8 years software lifecycle; ML/LLM/agent systems; Python/Java; production-grade AI delivery; strong evaluation and automation.
MassMutual: Sells life insurance, retirement plans, and investment services.
4+ YOE4+ years in data science/AI engineering with production ML/LLM experience, Python and SQL proficiency, ability to build and evaluate AI solutions, and a Bachelor’s in a quantitative field (Master’s preferred).
Persistent Systems: Secure mobile ad-hoc networking solutions for defense and commercial sectors.
2+ YOE2+ years software/AI engineering, bachelor's in CS or related (or equiv), strong Python, experience with LangChain/LangGraph or similar, RAG and prompt engineering, major AI platform experience, SQL familiarity, ability to obtain U.S. security clearance.
Python, SQL, pandas, R, LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, Microsoft 365 Agents SDK, OpenAI Agents SDK, Claude Agent SDK, Google ADK, Azure AI Foundry, AWS Bedrock, Google Vertex AI, Databricks, FastAPI, Docker, Kubernetes, CI/CD, Hugging Face, Ollama AI, LangSmith, MLflow, Braintrust, Langfuse, Arize Phoenix, Power BI, Tableau, PyTorch, TensorFlow, scikit-learn, XGBoost
Guardian Life: Provides life, disability, dental, and vision insurance products.
Design, develop, deploy, and support enterprise-scale AI solutions using LLMs, RAG, model orchestration and cloud infrastructure; ensure security and governance; mentor junior engineers.
Large Language Models (LLMs), retrieval-augmented generation (RAG)
Capital OneNYSE: COF: Financial services offering credit cards, banking, and loans.
4+ YOEBachelor's in CS/AI/EE/CE plus 4+ years (or Master's plus 2+ years) developing AI/ML; 4+ years programming in Python/Go/Scala/Java; experience with cloud-deployed AI systems and LLM inference preferred.
New York City or Denver or Dallas or Miami or United States
$175k-$215k/yrRemoteFull Time
Rightway: Healthcare navigation and transparent pharmacy benefit management services.
5+ YOE5+ years building production applications; experience with full-stack development, AI/ML feature design, LLM optimization, strong communication and leadership; healthcare or HIPAA experience a plus.
BMOTSX: BMO: Provides personal and commercial banking, investment, and wealth services.
6+ YOE6-7 years AI software development, 2+ years in AI agent/multi-agent development; strong Azure experience; Python; cloud-native; financial services experience preferred.
Fanatics: Digital sports platform for fan gear, collectibles, and betting.
Experience building and shipping agentic workflows with frontier LLMs, strong Python coding skills, analytics and communication, and ability to partner with business stakeholders to productionize AI solutions.
IntuitNASDAQ: INTU: Provides financial software for accounting, tax, and personal finance.
8+ YOE8+ years building and deploying production-scale AI/ML solutions; advanced degree in CS or related field preferred; deep expertise training LLMs and multimodal models; experience with cloud platforms and AI tooling.
ProtivitiNew York Stock Exchange: RHI: Global consulting firm providing risk, advisory, and technology services.
2+ YOE2+ years designing and deploying analytics or ML projects,1+ year hands-on generative AI experience,Bachelor's in a relevant field,proficiency in cloud and AI development,security and responsible AI practices.
AWS, Microsoft Azure, Google Cloud, Python, R, SQL, TensorFlow, PyTorch, Scikit-learn, Langchain, Hadoop, Spark
Writer: Platform for building and deploying enterprise generative AI agents.
5+ YOE5+ years of experience building and deploying ML/AI systems; proficient in Python and frameworks (PyTorch, TensorFlow, or JAX); strong ML/natural language processing background; experience with cloud (AWS, GCP, Azure) and MLOps; able to deliver scalable software; strong collaboration and problem-solving.