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Generative AI Engineer New York City, NY Hybrid In person Interview

Hybrid in NYC, NY, US • Posted 10 hours ago • Updated 10 hours ago

Contract W2

Hybrid

Depends on Experience

Fitment

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Job Details

Skills

LLM
MLOps/LLMOps

Summary

We are seeking a highly skilled Generative AI Engineer with expertise in Large Language Models (LLMs), Python, Retrieval-Augmented Generation (RAG), and Agent Orchestration to design, build, and optimize next-generation AI solutions. In this role, you will work at the forefront of AI innovation, developing intelligent systems that enhance user experiences, automate business workflows, and deliver scalable AI-powered products.
You will collaborate closely with cross-functional teams including data scientists, software engineers, product managers, and business stakeholders to bring generative AI applications from concept to production. The ideal candidate has hands-on experience with LLMs, prompt engineering, orchestration frameworks, model evaluation, and deploying AI solutions in cloud environments.
Key Responsibilities

Design, develop, fine-tune, and optimize large language models (LLMs) for a wide range of business and product use cases.
Build and deploy generative AI applications using Python and AI/ML frameworks such as PyTorch, TensorFlow, and Hugging Face Transformers.
Develop Retrieval-Augmented Generation (RAG) pipelines by integrating vector databases, embeddings, semantic search, and knowledge retrieval systems.
Implement and manage agent orchestration workflows using frameworks such as LangChain, LlamaIndex, AutoGen, CrewAI, or similar multi-agent systems.
Conduct data preprocessing, feature engineering, and dataset preparation to support model training, fine-tuning, and evaluation.
Collaborate with engineering and product teams to integrate AI models and agent-based systems into production-grade applications and APIs.
Evaluate model and system performance using relevant metrics, and continuously improve accuracy, latency, scalability, and cost efficiency.
Design prompt strategies, guardrails, and monitoring approaches to ensure reliable and safe LLM outputs.
Stay current with the latest advancements in generative AI, LLM architecture, RAG, AI agents, and emerging research trends.
Ensure compliance with ethical AI principles, security standards, and data privacy regulations throughout the AI development lifecycle.

Required Qualifications

Proven experience in developing, fine-tuning, and deploying large language models such as GPT, BERT, T5, LLaMA, or similar architectures.
Strong programming skills in Python with experience building AI/ML solutions in production environments.
Hands-on experience with AI/ML frameworks such as PyTorch, TensorFlow, and Hugging Face.
Solid understanding of natural language processing (NLP) concepts, prompt engineering, model evaluation, and fine-tuning techniques.
Experience designing and implementing RAG architectures, including embeddings, vector stores, document chunking, retrieval strategies, and grounding mechanisms.
Familiarity with agent orchestration frameworks and building multi-step or multi-agent AI workflows.
Experience with API development, microservices, and integrating AI capabilities into enterprise systems.
Working knowledge of cloud platforms such as AWS, Google Cloud Platform, or Azure for scalable AI deployment.
Strong analytical thinking, problem-solving ability, and effective collaboration skills.
Bachelor s or Master s degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. Ph.D. is a plus.

Preferred Skills

Experience deploying and managing LLM applications with MLOps/LLMOps practices, including monitoring, versioning, and experimentation.
Familiarity with vector databases such as Pinecone, Weaviate, FAISS, Chroma, or Milvus.
Knowledge of Docker, Kubernetes, CI/CD pipelines, and scalable deployment patterns for AI services.
Experience with cloud-native AI services and model hosting infrastructure.
Understanding of AI safety, model governance, observability, and responsible AI practices.
Knowledge of additional programming languages is a plus.
Strong publication record, research background, or contributions to open-source AI projects

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90838445
Position Id: 9020845
Posted 10 hours ago

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Ruma Kalra

Recruiter @ HAN IT Staffing Inc.

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