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Prompt Engineering Jobs in Enfield, CT (NOW HIRING)

Info Way Solutions

Gen AI Engineer

Hartford, CT · On-site

... Prompt Engineering, and Knowledge Graphs to improve AI agent capabilities. • Collaborate with cross-functional teams to integrate AI-powered solutions into products and services. • Conduct ...

Info Way Solutions

Gen AI Developer

Hartford, CT · On-site

Required : • Python, PyTorch or TensorFlow • Hands-on with LLMs and prompt engineering • Experience in cloud ML platforms (Azure ML, AWS SageMaker) • Familiar with MLOps, APIs, Docker ...

RCN Capital, LLC.

Senior Software Engineer

Windsor, CT · On-site

$100 - $130/hr

Proven experience with LLMs (4th generation or newer), Prompt Engineering, and building RAG applications. * Familiarity with LangChain or Semantic Kernel is a plus. Cloud * Strong experience with ...

RCN Capital LLC

Senior Software Engineer

South Windsor, CT · On-site

$119K - $156K/yr

Proven experience with LLMs (4th generation or newer), Prompt Engineering, and building RAG applications. * Familiarity with LangChain or Semantic Kernel is a plus. Cloud * Strong experience with ...

TicketNetwork

Senior Software Engineer

South Windsor, CT · On-site

$119K - $156K/yr

Proven experience with LLMs (4th generation or newer), Prompt Engineering, and building RAG applications. * Familiarity with LangChain or Semantic Kernel is a plus. Cloud * Strong experience with ...

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Showing results 41-60

All JobsPrompt Engineering JobsPrompt Engineering Jobs in Enfield, CT

Prompt Engineering information

See Enfield, CT salary details

$33K

$63.9K

$96.9K

How much do prompt engineering jobs pay per year?

As of Sep 5, 2026, the average yearly pay for prompt engineering in Enfield, CT is $63,890.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,700.00 and $73,000.00 per year, depending on experience, location, and employer.

What is prompt engineering?

A Prompt Engineering job involves designing, refining, and optimizing prompts to improve the performance of AI language models. Prompt engineers work with large language models (LLMs) to generate accurate, relevant, and high-quality responses. They experiment with different phrasing techniques, fine-tune AI outputs, and collaborate with developers to enhance model capabilities. This role is essential in ensuring AI systems provide reliable and useful responses for various applications.

What skills and qualifications are needed for prompt engineering?

To excel in Prompt Engineering, a strong grasp of natural language processing (NLP), machine learning concepts, and analytical thinking is essential, often supported by a degree in computer science or a related field. Familiarity with AI platforms, code repositories (such as GitHub), and prompt development tools is typically required. Excellent problem-solving, creativity, and cross-functional communication skills help Prompt Engineers effectively collaborate and refine model outputs. These capabilities enable the creation of precise, effective prompts driving high-quality AI responses in rapidly evolving technical environments.

What are the most common challenges faced by prompt engineers in their daily work?

Prompt Engineers frequently encounter challenges such as ensuring the clarity and relevance of prompts to achieve accurate AI responses, troubleshooting inconsistent model behavior, and staying updated with evolving AI technologies. Balancing experimentation with efficiency is often essential, as iterative testing and refinement are core parts of the workflow. Collaboration with data scientists, product managers, and other engineers is common, requiring adaptability and strong communication skills. These challenges make the role dynamic and rewarding for professionals who enjoy problem-solving and innovation.

Is prompt engineering still in demand?

Prompt engineering is currently in high demand as organizations seek experts to optimize interactions with AI language models. The role requires skills in natural language processing, prompt design, and familiarity with AI tools, making it a valuable specialization in AI development and deployment.

What do you do as a prompt engineer?

A prompt engineer designs and refines prompts to optimize the performance of AI language models. They analyze model responses, experiment with prompt structures, and use tools like AI development platforms to improve accuracy and relevance in outputs.

What are popular job titles related to Prompt Engineering jobs in Enfield, CT?

For Prompt Engineering jobs in Enfield, CT, the most frequently searched job titles are:

What job categories do people searching Prompt Engineering jobs in Enfield, CT look for?

The top searched job categories for Prompt Engineering jobs in Enfield, CT are:

What cities near Enfield, CT are hiring for Prompt Engineering jobs?

Cities near Enfield, CT with the most Prompt Engineering job openings:

Prompt Engineering jobs near you
Infographic showing various Prompt Engineering job openings in Enfield, CT as of August 2026, with employment types broken down into 90% Full Time, 7% Part Time, 2% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $63,890 per year, or $30.7 per hour.

Senior Consultant - AI Product / Business Analyst - UX Engineering

Long Finch Technologies

East Windsor Hill, CT • On-site

Full-time

Posted 14 days ago

Key responsibilities

  • Gather business requirements and translate them into detailed Jira user stories, acceptance criteria, workflows, and product requirements.

  • Design, execute, and monitor AI/LLM evaluation scenarios, validate outputs, and analyze performance metrics to ensure AI product quality.

  • Collaborate with Engineering, UX, Data Science, and Business teams to prioritize AI capabilities and support the delivery of AI-powered products.

Job description

Job Summary

We are seeking an experienced Senior Consultant – AI Product / Business Analyst  to support the development and validation of AI-powered products and solutions . The ideal candidate will have strong experience working as a Business Analyst, Product Analyst, Product Owner, or similar role , along with hands-on experience in AI/LLM evaluation, prompt engineering, AI testing, and product validation .

The candidate will work closely with Business Stakeholders, Engineering, UX, and Data Science teams  to translate business and AI requirements into actionable product features, user stories, workflows, and acceptance criteria. Experience in the Healthcare domain  is highly preferred, along with hands-on AI experience.

Key Responsibilities

  • Gather and analyze business requirements for AI-powered products and solutions.
  • Translate business requirements into detailed Jira user stories, acceptance criteria, workflows, and product requirements .
  • Manage and prioritize product backlogs in collaboration with Product Owners and stakeholders.
  • Design and execute specialized AI/LLM test cases and evaluation scenarios .
  • Validate LLM-generated outputs for accuracy, quality, completeness, relevance, consistency, and reliability .
  • Evaluate different prompt variations and identify opportunities for prompt optimization.
  • Develop and execute test scenarios for AI agents and agentic workflows .
  • Perform AI model/product validation and analyze AI performance metrics.
  • Identify defects, inconsistencies, and quality gaps in AI-generated content and workflows.
  • Collaborate with Engineering, UX, Data Science, and Business teams to define and prioritize AI capabilities.
  • Support Agile ceremonies including backlog refinement, sprint planning, reviews, and retrospectives.
  • Drive continuous improvement of AI product quality and user experience.
  • Document requirements, test results, evaluation findings, and product recommendations.
  • Partner with stakeholders to ensure AI solutions meet business objectives and user needs.

Required Skills & Qualifications

  • 8–10+ years of experience  as a Business Analyst, Product Analyst, Product Owner, Product Consultant, or equivalent role.
  • Hands-on experience working with AI-powered products, Generative AI, LLMs, or AI/ML solutions .
  • Strong experience creating Jira user stories, acceptance criteria, product requirements, and workflows .
  • Hands-on experience with AI/LLM testing and evaluation .
  • Experience evaluating LLM outputs and comparing prompt variations.
  • Strong understanding of prompt engineering and prompt optimization .
  • Experience validating AI-generated content for accuracy, completeness, consistency, and quality.
  • Experience testing or evaluating AI agents and agentic workflows .
  • Strong Agile/Scrum experience.
  • Excellent communication and stakeholder management skills.
  • Ability to work effectively with Engineering, UX, Data Science, Product, and Business teams .

Preferred / Nice-to-Have Skills

  • Healthcare domain experience is highly preferred.
  • Experience in HR technology, learning technology, content creation platforms, or knowledge management solutions .
  • Experience working with AI-powered enterprise applications.
  • Knowledge of AI evaluation methodologies and performance metrics.
  • Experience with Jira and Agile product development environments.
  • Experience contributing to UX/product discovery and user journey analysis.

Top 3 Responsibilities

  1. Requirements & Product Management:  Gather business requirements, create detailed Jira user stories, define acceptance criteria, and manage product backlogs while translating AI product requirements into actionable features and workflows.
  2. AI/LLM Evaluation & Testing:  Plan, execute, and monitor AI/LLM evaluations by designing test scenarios, validating model outputs, evaluating prompts and agentic workflows, analyzing metrics, and driving continuous product quality improvements.
  3. Cross-Functional Collaboration:  Collaborate with Engineering, UX, Data Science, Product, and Business stakeholders to prioritize AI capabilities and ensure successful delivery of AI-powered products.

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