Prompt Engineering Jobs in New York (NOW HIRING)

Prompt Engineering and Management: Develop strategies for prompt engineering and management to enhance LLM outputs and ensure consistency and safety. * Collaboration: Work closely with data ...

Implement prompt engineering and grounding strategies for accurate, contextual, and role-appropriate responses. Integration & Automation * Integrate agents with enterprise applications using ...

This role will be responsible for designing, developing, and optimizing AI-powered workflows that support a legal practice group, while developing and maintaining prompt engineering standards ...

Define solution patterns for prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning * Collaborate with business, data, and engineering teams to identify GenAI use cases * Select ...

Requirements * 2+ years in voice AI, conversational AI, prompt engineering, speech systems, or related agentic workflows * 3+ years in platform, infrastructure, or backend engineering * Strong ...

LLM integration: prompt engineering, token management, streaming, error handling, rate limiting * NLP & document processing: OCR post‑processing, text segmentation, entity extraction * Testing ...

You will lead production-grade agentic AI frameworks, multi-agent orchestration, and RAG pipelines, while guiding safety, prompt engineering, and governance. The role requires senior leadership ...

Build and optimize integrations with large language models (LLMs), utilizing best practices for prompt engineering, tool use, streaming, and token management. • Distributed Systems Architecture:

Lead the design, training, fine-tuning, and deployment of large language models, leveraging techniques like prompt engineering, retrieval-augmented generation (RAG), and agent-based architectures.

... prompt engineering, tool use, streaming, and token management. • Implement and maintain robust distributed systems, leveraging concepts like durable execution, idempotency, retry semantics, and ...

Build and optimize integrations with large language models (LLMs), utilizing best practices for prompt engineering, tool use, streaming, and token management. • Distributed Systems Architecture:

FastAPI, async patterns, Pydantic, Poetry, pytest - LLM integration: prompt engineering, token management, streaming, error handling, rate limiting - NLP & document processing: OCR post-processing ...

Exposure to prompt engineering and Retrieval-Augmented Generation (RAG) validation. * Knowledge of cloud platforms such as AWS, Azure, or Google Cloud Platform. * Experience working in Agile/Scrum ...

FastAPI, async patterns, Pydantic, Poetry, pytest - LLM integration: prompt engineering, token management, streaming, error handling, rate limiting - NLP & document processing: OCR post-processing ...

FastAPI, async patterns, Pydantic, Poetry, pytest - LLM integration: prompt engineering, token management, streaming, error handling, rate limiting - NLP & document processing: OCR post-processing ...

Demonstrated expertise in context and prompt engineering for large language models (LLMs), including prompt design and optimization. * Experience building and managing sandbox environments (e.g ...

Prompt Engineering

Prompt Engineering, Workflow Design, and GenAI Optimization. Key Responsibilities: Develop and orchestrate sophisticated AI workflows using LangGraph and multi-agent architectures. Build and maintain ...

Prompt Engineering, Workflow Design, and GenAI Optimization. Key Responsibilities: Develop and orchestrate sophisticated AI workflows using LangGraph and multi-agent architectures. Build and maintain ...

Understanding of machine learning concepts and prompt engineering. * Experience with version control (Git). * Strong problem-solving and analytical skills. * Excellent communication and collaboration ...