AI & GenAI Full Stack Engineer- 7+ yrs- New York, United States- Onsite

AI Full Stack Job DescriptionTechnical Skillset? 10+ years of AI/ML Expertise: Understanding of core AI and machinelearning concepts, models, and algorithms, demonstrated through practicalapplication and system design. Ability to explain complex ideas clearly andsignificant focus on building and deploying production-grade AI/ML modelsand systems? 3+ years of LLM/Agentic AI Development Experience: Hands-onexperience building applications leveraging LLMs, LLM Workflows, Agentic AIand deploying them into a production environment (considering aspects likeperformance, cost, reliability, monitoring), Workflows and Agentic AI - LLMEvaluation through LLM as a Judge, Platforms like Arize, etc.? Solid Engineering Fundamentals: Proven growth in software design, datastructures, algorithms, and writing clean, testable, and maintainable code? Technical Breadth:o Familiarity and hands-on experience with relevanttechnologies/frameworks like Databricks, Azure AI, Azure TranscriptionServices, , RLlib (Agent Model), PyTorch(State Model), Open AI, Google Cloud Platformo backend services(e.g., Node.js/Next.js/Java/Serverless), o cloud platforms (AWS/Google Cloud Platform/Azure),o front-end frameworks (e.g., React/React Native), o CI/CD pipelines, REST/WebSocket API development, and databasetechnologies.o Solid programming skills in Python, with experience in pandas,numpy, and SQL, proficiency in frameworks such as Scikit Learn,TensorFlow, and PyTorch? Broaden ML Domain Knowledge: Practical experience or solid knowledge invarious machine learning domains such as Natural Language Processing(NLP), Computer Vision, Personalization & Recommendation systems, and/orAnomaly DetectionSuccess Factors? Adaptability & Learning Agility: Proven ability to quickly learn newtechnologies and methodologies, comfortable working on tasks requiringexploration and tackling ambiguity? Ownership & Drive: Self-driven, takes immense pride in technicalcontributions, proactively tackle problems, own features end-to-end, and findsatisfaction in building impactful solutions? Inherent Curiosity: Has a solid desire to understand how and why thingswork, driving the “what” to build better, more efficient systems.