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Prompt Engineer Jobs in Secaucus, NJ (NOW HIRING)

Future Secure AI

Sr. AI/ML Engineer, Platform

Manhattan, NY · On-site

$115K - $158K/yr

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

Brooksource

Sr Full Stack Engineer

Summit, NJ · On-site

$75 - $80/hr

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 ...

Scalence L.L.C.

AI/LLM Engineer

Manhattan, NY · On-site

... prompt engineers to enhance model responses and performance. • Write high-quality, scalable code using Python (including async programming). • Build and maintain APIs and microservices for AI ...

Motorola

Senior AI Engineer (US Remote)

New York, NY · Remote

$180K - $210K/yr

Prompt engineering & optimization * Model evaluation & testing frameworks * AI observability & monitoring * Responsible AI & safety practices Skills & Experience Required: * Bachelor's degree in ...

Worky

Senior AI Engineer (US Remote)

Manhattan, NY · On-site

$180 - $210/hr

Prompt engineering & optimization * Model evaluation & testing frameworks * AI observability & monitoring * Responsible AI & safety practices Skills & Experience Required: * Bachelor's degree in ...

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Prompt Engineer information

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How much do prompt engineer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for prompt engineer in Secaucus, NJ is $47.87, according to ZipRecruiter salary data. Most workers in this role earn between $36.39 and $61.83 per hour, depending on experience, location, and employer.

What skills and qualifications are needed to be a prompt engineer?

To thrive as a Prompt Engineer, you need a strong grasp of natural language processing (NLP), machine learning concepts, and experience crafting effective prompts for large language models, usually supported by a technical degree or relevant experience. Familiarity with tools such as OpenAI's API, Hugging Face, or other AI platforms, as well as knowledge of programming languages like Python, is highly valuable. Creative thinking, analytical problem-solving, and cross-functional communication skills help differentiate top candidates in this field. These abilities are crucial for optimizing AI outcomes and ensuring collaboration with both technical and non-technical teams.

What does a prompt engineer do?

A typical day for a Prompt Engineer involves designing, testing, and refining prompts to enhance the performance of AI language models, often collaborating closely with data scientists, software engineers, and product managers. You might analyze the results of model outputs, integrate user or stakeholder feedback, and iterate on prompt strategies to solve diverse business challenges. Your role will usually include documentation, troubleshooting, and keeping up with the latest advances in AI technologies. Expect a mix of independent work and regular team meetings in a dynamic, fast-evolving environment focused on innovation and improvement.

Are prompt engineers still in demand?

Prompt engineers are currently in demand as organizations seek professionals skilled in designing effective prompts for AI language models. The role often requires knowledge of natural language processing, machine learning, and familiarity with AI tools like GPT. Demand is expected to grow as AI integration expands across industries.

What is a prompt engineer?

A Prompt Engineer is a professional who designs, refines, and optimizes prompts to improve interactions with AI models, such as ChatGPT. Their role involves understanding model behavior, crafting precise queries, and experimenting with phrasing to achieve desired outputs. They may work in AI research, software development, or content generation to maximize AI efficiency. Strong skills in language, logic, and sometimes coding are essential for success in this role.

What exactly is prompt engineer work?

A prompt engineer designs and optimizes prompts used to interact with AI language models, ensuring accurate and relevant outputs. The role requires understanding of AI systems, natural language processing, and often involves testing and refining prompts to improve model performance.

What are the most commonly searched types of Prompt Engineer jobs in Secaucus, NJ?

The most popular types of Prompt Engineer jobs in Secaucus, NJ are:

What are popular job titles related to Prompt Engineer jobs in Secaucus, NJ?

For Prompt Engineer jobs in Secaucus, NJ, the most frequently searched job titles are:

What cities near Secaucus, NJ are hiring for Prompt Engineer jobs?

Cities near Secaucus, NJ with the most Prompt Engineer job openings:

Prompt Engineer jobs near you
Infographic showing various Prompt Engineer job openings in Secaucus, NJ as of August 2026, with employment types broken down into 82% Full Time, 15% Part Time, and 3% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $99,574 per year, or $47.9 per hour.

Sr. AI/ML Engineer, Platform

Future Secure AI

Manhattan, NY • On-site

$115K - $158K/yr

Full-time

Re-posted 22 days ago

Job description

Job Summary:
Future Secure AI is building innovative solutions at the frontier of AI, tackling real-world problems for global enterprises. They are seeking a highly skilled Sr. AI/ML Software Engineer to contribute to their core Platform Team, focusing on building and scaling the infrastructure that powers intelligent interactions.
Responsibilities:
• Platform Development: Design, develop, and maintain critical components of the FutureSecure.ai platform, focusing on scalability, reliability, and performance.
• AI/ML Integration: Build and optimize integrations with large language models (LLMs), utilizing best practices for prompt engineering, tool use, streaming, and token management.
• Distributed Systems Architecture: Implement and maintain robust distributed systems, leveraging concepts like durable execution, idempotency, retry semantics, and circuit breakers.
• Developer Tooling: Develop and maintain developer-facing SDKs and platform tooling, prioritizing a clean, intuitive, and well-documented API surface.
• Cloud Infrastructure: Provision and manage cloud infrastructure (AWS, Azure, or GCP) using cloud-native patterns and managed services.
• Containerization & Orchestration: Deploy, operate, and scale containerized services using Docker and Kubernetes.
• Performance Optimization: Identify and address performance bottlenecks across the entire stack, from application code to infrastructure.
• Collaboration & Code Quality: Work closely with other engineers and researchers to deliver high-quality, well-tested code.
Qualifications:
Required:
• Strong experience with TypeScript/Node.js and a compilation language such as Rust, Go, or C++.
• Demonstrated experience with distributed systems concepts including durable execution, idempotency, retry semantics, and circuit breakers.
• Solid experience with cloud platforms (AWS, Azure, or GCP) – infrastructure provisioning, managed services, and cloud-native patterns.
• Broad and genuine curiosity across computer systems – operating systems, networking, security, databases, compilers. The more surface area you understand, the better!
• Experience deploying and operating containerized services (Docker, Kubernetes).
• Experience building or maintaining developer-facing SDKs or platform tooling where the API surface matters as much as the internals.
• Familiarity with LLM integration patterns including prompt engineering, tool use, streaming, and token management.
Company:
Future Secure AI develops secure, bespoke AI Co-Workers and multi-agent systems for complex enterprise workflows. Founded in , the company is headquartered in Austin, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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