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Prompt Engineer Jobs in Haddonfield, NJ (NOW HIRING)

Proficiency in prompt engineering, chain-of-thought reasoning, context engineering, and token optimization techniques. * 5+ years of Software engineering background with expertise in Python and cloud ...

Develop prompt management systems and structured prompting strategies for consistent visual output ... Engineer consistency mechanisms and quality gates in partnership with data scientists who own ...

Develop prompt management systems and structured prompting strategies for consistent visual output ... Engineer consistency mechanisms and quality gates in partnership with data scientists who own ...

LLM integration, prompt engineering, embeddings, model evaluation responsible AI practices. * Performance & Scalability: Query tuning, cost optimization, system scalability, reliability engineering

... prompt design, retrieval pipelines, document templates, evaluations, and guardrails with practice-group-facing training, enablement, and change management. The AI Legal Engineer will serve as a ...

Showing results 21-40

Prompt Engineer information

See Haddonfield, NJ salary details

$9

$45

$84

How much do prompt engineer jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for prompt engineer in Haddonfield, NJ is $45.36, according to ZipRecruiter salary data. Most workers in this role earn between $34.52 and $58.61 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 cities near Haddonfield, NJ are hiring for Prompt Engineer jobs? Cities near Haddonfield, NJ with the most Prompt Engineer job openings:
Infographic showing various Prompt Engineer job openings in Haddonfield, NJ as of August 2026, with employment types broken down into 4% Internship, 66% Full Time, 22% Part Time, and 8% Contract. Highlights an 68% In-person, and 32% Remote job distribution, with an average salary of $94,353 per year, or $45.4 per hour.

AI Engineer

Abacum

Barrington, NJ โ€ข Remote

Full-time

Medical, PTO

Re-posted 18 days ago


Job description

About Abacum

Abacum is the leading Business Planning solution for finance teams to drive performance. By automating reporting, enabling collaboration, and simplifying planning and forecasting, we help finance teams shift from number crunching to driving strategic decisions.

Founded in 2020 by two former CFOs, we’ve grown into a global team of 100+ people across 30+ nationalities. Headquartered in New York, we have offices in Toronto and Barcelona. We’re trusted by industry leaders such as Dish Networks, Strava, BetterUp, Kajabi, JG Wentworth, Abridge, Cortex, and hundreds more.

We have raised over $100m, closing in June 2025 our $60M Series B, led by Scale Venture Partners, with the strong participation of Cathay Innovation, Y Combinator, Atomico, Creandum, and angel operators from Adyen, Zapier, and Twitch.

Our mission is ambitious and we can’t do it alone - join Abacum as we build the future of Business Planning!

Who we are looking for

Abacum is seeking a talented AI Engineer to join our dynamic team AI Labs team. In this role, you won’t just be implementing APIs; you’ll be architecting the future of finance by building and deploying autonomous, agentic applications and build the AI core architecture on the platform.

This is a high-impact opportunity to work at the cutting edge of AI, transforming complex customer challenges into intelligent, scalable solutions.

Responsibilities

  • Drive continuous innovation within AI Labs by researching cutting-edge technologies and experimenting with new PoCs.

  • Design and build sophisticated, multi-provider LLM workflows and autonomous agents capable of advanced reasoning and independent decision-making.

  • Building MCP (Model Context Protocol) agents to bridge the gap between LLMs and our proprietary data ecosystems.

  • Integrate AI capabilities into existing product workflows to automate and enhance core functionality.

  • Optimize AI agent performance through fine-tuning, evaluations, prompt optimization, and system design through RAG pipelines.

Qualifications

  • Bachelor's degree in Computer Science or a related field.

  • Deep understanding of Large Language Models (LLMs) and their practical applications.

  • Proficiency in prompt engineering, chain-of-thought reasoning, context engineering, and token optimization techniques.

  • 5+ years of Software engineering background with expertise in Python and cloud platforms.

  • Hands-on experience with AI frameworks such as LangChain and LangGraph.

  • Self-motivated with the ability to work independently in a fast-paced, remote-first environment.

  • Experience with AI evaluation frameworks, benchmarking, and performance optimization.

Bonus

  • Strong experience with AI agent orchestration frameworks and architectures.

  • Background in machine learning or predictive modeling to derive insights from large datasets.

  • Knowledge of AI safety, alignment, and responsible AI development practices.

  • Practical experience working with Vector Databases (e.g., pgvector, Pinecone, Qdrant, etc) for RAG implementations.

Benefits

  • Competitive compensation including equity package

  • Competitive vacation policy

  • Medical Insurance

  • L&D budget

  • Access to Meditopia (wellbeing platform)

  • Language courses (English / Spanish)

Our Values

Customer Obsession: We share the understanding that Abacum's sole purpose is to create value for customers and relentlessly deploy all creativity and energy to that end.

Audacious Ambition: We dream big and embrace discomfort. We assume risks, make on-time mistakes and learn how to methodically accomplish our goals.

Good People: We are self-reflective and praise diversity of thought. We don't justify the end with the means and know where to draw the line. We have fun every day.

Tough Love: We truly care for everyone in the team and embrace honest feedback and radical candor as ways to genuinely help each other.

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status.