Generative AI Engineer - New York, NY jobs in United States
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Jobs via Dice ยท 5 days ago

Generative AI Engineer - New York, NY

TechniPros, LLC is seeking a highly skilled and innovative Generative AI Engineer to lead the design and deployment of cutting-edge LLM-powered applications for enterprise use cases. This role involves collaboration with cross-functional teams to develop systems that automate knowledge retrieval and drive intelligent automation workflows across various business domains.

Computer Software

Responsibilities

Design, build, and fine-tune LLMs and multimodal generative models using state-of-the-art architectures
Lead the development of generative AI applications including chatbots, content generation tools, summarizers, and automated document processors
Integrate external tools and APIs using agentic workflows (CrewAI, LangChain agents) to build reasoning-capable AI solutions
Optimize model inference using quantization, distillation, and hardware-specific acceleration (ONNX, Triton)
Ensure secure, ethical, and compliant AI use through robust evaluation pipelines and fairness metrics

Qualification

Generative AILarge Language ModelsNLPPythonPyTorchTransformersLangChainEmbedding ModelsCommunicationLeadership QualitiesCollaborationFast-paced Environment

Required

8+ years of experience in AI/ML, with 3+ years focused on generative AI or large language models
Solid understanding of transformer-based architectures and vector similarity search
Experience deploying LLMs (e.g., GPT, LLaMA, Falcon, Claude) in production settings
Proven record of using embedding models and retrieval-augmented generation (RAG) to improve contextual accuracy
Proficient in Python, with strong experience in PyTorch, Transformers, and LangChain
Hands-on experience with OpenAI, Azure OpenAI, Anthropic Claude, and other LLM providers
Familiarity with vector databases (Pinecone, FAISS), orchestration tools, and scalable inference
Strong communication and leadership qualities
Proven ability to collaborate with cross-functional engineering and product teams
Comfortable working in fast-paced, iterative environments

Company

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Funding

Current Stage
Early Stage
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