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Prompt Engineer Jobs in Newtown, CT (NOW HIRING)

Dassault Systèmes

Quality Engineer

Shelton, CT · On-site

$72K - $93K/yr

... Prompt Engineering, Retrieval-Augmented Generation (RAG), Function/Tool Calling, Multi-Agent Systems, Agent Planning & Reasoning Workflows, and Memory Architectures. • Experience validating Agentic ...

3ds

Quality Engineer

Shelton, CT · On-site

$72K - $93K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Strong understanding of Transformer-based LLMs, Prompt Engineering, Retrieval-Augmented Generation (RAG), Function/Tool Calling, Multi-Agent Systems, Agent Planning & Reasoning Workflows, and Memory ...

Holland & Knight

AI Legal Engineer

Stamford, CT

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... 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 ...

Pwc

AI Engineer

Stamford, CT · On-site

$50K - $112K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models - Developing automated evaluation frameworks, including LLM-as-judge ...

Deloitte

Lead Forward Deployed Engineer, Palantir

Stamford, CT · On-site

$109K - $143K/yr

Set direction for prompt engineering, tool-use patterns, and human-in-the-loop controls * Govern end-to-end RAG pipeline design-including ingestion, chunking, embedding, vector retrieval, and hybrid ...

Accenture

Google Senior Data Engineer

Carmel, NY · On-site

$94K - $266K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Support prompt engineering, embeddings, and retrieval-augmented generation (RAG) experimentation. * Contribute to model testing, validation, and documentation. 3. Requirements Gathering & Client ...

Pwc

GenAI Python Systems Engineer-Manager

Stamford, CT

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... prompt engineering for LLM optimization - Implementing data integration solutions using AWS, Azure, GCP - Utilizing AWS CloudFormation, Azure Resource Manager, Terraform - Building and deploying ...

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All JobsPrompt Engineer JobsPrompt Engineer Jobs in Newtown, CT

Prompt Engineer information

See Newtown, CT salary details

$10

$48

$90

How much do prompt engineer jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for prompt engineer in Newtown, CT is $48.50, according to ZipRecruiter salary data. Most workers in this role earn between $36.88 and $62.64 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 Newtown, CT are hiring for Prompt Engineer jobs?

Cities near Newtown, CT with the most Prompt Engineer job openings:

Prompt Engineer jobs near you
Infographic showing various Prompt Engineer job openings in Newtown, CT as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $100,887 per year, or $48.5 per hour.

AI LLM Engineer

Boehringer Ingelheim Pharmaceuticals, Inc

Ridgefield, CT • On-site

$115K - $222K/yr

Other

Posted 3 days ago

New

Job description

Description
We are seeking an experienced AI / LLM Engineer to join our Data-Driven Customer Insights team and lead innovative Large Language Model and AI-driven capabilities. In this role, you will contribute to the OneCustomer product, an AI-driven initiative at Boehringer Ingelheim aimed at transforming how we engage with healthcare professionals and internal stakeholders. The DevOps team builds and operates scalable digital solutions that enable real-time sharing of customer insights, leveraging data and cutting-edge technologies to support strategic decision-making across Commercial, Medical, and Analytics functions.
As an AI / LLM Engineer, you will play a pivotal role in designing, configuring, developing, and operating AI components that power OneCustomer. You will lead LLM/Machine Learning-related topics, ranging from prompt engineering to observability and compliance, and help shape how AI augments customer understanding across the organization. You will collaborate closely with Product Owners, Engineers and external partners to bring high-impact, production-ready AI functionalities to life.
As an employee of Boehringer Ingelheim, you will actively contribute to the discovery, development and delivery of our products to our patients and customers. Our global presence provides opportunity for all employees to collaborate internationally, offering visibility and opportunity to directly contribute to the companies' success. We realize that our strength and competitive advantage lie with our people. We support our employees in a number of ways to foster a healthy working environment, meaningful work, mobility, networking and work-life balance. Our competitive compensation and benefit programs reflect Boehringer Ingelheim's high regard for our employees.
Compensation Data
This position offers a base salary typically between $115,000 to $222,000. This position may be eligible for a role specific variable or performance based bonus and or other compensation elements. For an overview of our benefits please click here.
Duties & Responsibilities
  • Lead all LLM-related activities, including prompt engineering, compliance-rule prompts, user-feedback integration, parameter tuning, data-structure understanding, model/API version upgrades.
  • Collaborate with cross-functional teams to understand the requirements and objectives for each product release, and align AI capabilities with business goals
  • Partner with Commercial, Medical, and Analytics stakeholders to translate business knowledge into effective system prompts and system behaviors, applying few-shot learning, updating domain ontologies, and continuously refining models and prompts based on stakeholder feedback. Manage vector databases and knowledge graphs supporting AI and RAG workflows.
  • Implement and operate observability systems, covering monitoring, logging, performance tracking, error detection, and dashboards for real-time traceability and business/compliance visibility of AI components.
  • Manage LLM model configurations and deployments, overseeing endpoint setup, version control, integration consistency across environments, and infrastructure optimization for scale, load-balancing, and high availability across environments.
  • Collaborate with MLOps, QA, Data Science, and Product teams to ensure proper configuration, robust testing and continuous improvement of LLM-based features. Engineer compliance-aligned prompts and system rules to reduce false positives and ensure market safety. Integrate user feedback loops to continuously refine prompts, models, personas, and ontologies.

Requirements
  • Proven experience in DevOps environments building AI/ML solutions, including work with LLMs, RAG pipelines, or knowledge graphs.
  • Demonstrable experience in AI application development using no-code/low-code platforms or configuring off-the-shelf solutions together with external partners.
  • Deep understanding of LLM architecture (transformers, embeddings, RAG, multimodal models) and experience fine-tuning LLMs (LoRA, QLoRA, custom datasets). Proven knowledge of ontology management, schema design, and prompt debugging/validation.
  • Hands-on MLOps deployment, model optimization techniques (quantization, compression, inference acceleration) and CI/CD experience.
  • Ability to follow and apply cutting-edge research in LLMs and model safety. Experience with observability systems, API operations, and scalable cloud architectures.
  • Ability to work collaboratively in cross-functional product teams and to communicate technical topics clearly to non-technical stakeholders.
  • Strong analytical, problem-solving, and cross-functional collaboration skills.

Eligibility Requirements :
  • Must be legally authorized to work in the United States without restriction.
  • Must be willing to take a drug test and post-offer physical (if required).
  • Must be 18 years of age or older.

This role can be hired at a Principal or Sr. Principal level.
Principal Software Engineer
  • Associate degree in Computer Science, MIS or a related field with a minimum of 7 years experience; or Bachelor degree in Computer Science, or MIS, with a minimum of 5 years of experience; or a Master degree in Computer Science, MIS, with a minium 3 years of experience; or relevant Business or IT experience of minimum of 7 years. Minimum of 4 years of programming preferred.

Sr. Principal Software Engineer
  • Associate degree in Computer Science, MIS or related field with a minimum of 11 years experience; or Bachelor degree in Computer Science, or MIS, or related field with minimum 9 years of experience; or a Master degree in Computer Science, MIS, or related field with minimum 7 years of experience; or relevant Business or IT experience of minimum of 11 years.

Desired Skills, Experience and Abilities
Bachelor's or Master's degree in Computer Science, Data Science, AI/ML, Engineering, or a related field with a strong emphasis on AI and machine learning technologies.

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