Prompt Engineering Jobs in Matawan, NJ (NOW HIRING)

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.

The ideal candidate will have deep expertise in LLM application development, RAG architectures, AI agents, prompt engineering, and cloud-native AI platforms . This is a hands-on technical role ...

Knowledge of Generative AI, prompt engineering, data governance, and enterprise security practices. Key Responsibilities * Lead the architecture, development, and implementation of AI-driven ...

Responsibilities : • Build security analysis capabilities using LLM integrations with Azure OpenAI, prompt engineering, retrieval-augmented generation, and vector-based context retrieval. • ...

Prompt Engineering: Proficiency in prompt engineering and optimizing LLM outputs for business-specific use cases. Professional Skills * Collaboration: Ability to work with UI/UX designers, product ...

... Apply prompt engineering, hallucination mitigation, and grounding techniques for AI solutions. • Build API-driven applications using FastAPI, API Gateway, and integrate with MongoDB, Redis, and ...

Design and implement solutions involving Large Language Models (LLMs), embeddings, vector databases, Retrieval-Augmented Generation (RAG), and prompt engineering. * Work with cloud AI services such ...

Execute the AI strategy - LLM selection and management, agentic application architecture, RAG system design, prompt engineering standards, and evaluation frameworks * Help design and implement the ...

Develop prompt engineering strategies for LLM-based applications. * Deploy and manage AI workloads on cloud platforms. * Build scalable distributed AI systems using technologies such as Kubernetes ...

The ideal candidate will have experience in prompt engineering, AI agentic frameworks, large language models (LLMs), retrieval-augmented generation (RAG), and vector databases. This role requires a ...

Technical Skills • Snowflake (Snowpark, Cortex, SQL) • Python • Generative AI / LLMs • RAG & AI Agents • Prompt Engineering • Semantic Modeling Nice-to-Have Experience • Commercial ...

Apply prompt engineering techniques to improve model accuracy, consistency, explainability, and user trust. Design evaluation frameworks to test AI outputs for accuracy, completeness, hallucination ...

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 ...

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 ...

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

The role requires hands-on expertise in GenAI prompt engineering to ensure consistent, low-hallucination AI-assisted workflows. You will guide architecture and approach, integrating backend and ...

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: