2

Remote Prompt Engineer Jobs in Connecticut (NOW HIRING)

Leadoffshore engineers and team members on agentic patterns, prompt engineering, and reliability ... REMOTE For individuals assigned or hired to work in the location(s) indicated below, the base ...

Leadoffshore engineers and team members on agentic patterns, prompt engineering, and reliability ... REMOTE For individuals assigned or hired to work in the location(s) indicated below, the base ...

AI Solutions Associate

Farmington, CT ยท On-site +1

$60K - $75K/yr

Preferred: exposure to cloud platforms, APIs, LLM integrations, prompt engineering, RAG workflows ... Planned outings and team events (remote workers included!) PHYSICAL DEMANDS AND WORK ENVIRONMENT

Remote Prompt Engineer information

See Connecticut salary details

$12

$53

$76

How much do remote prompt engineer jobs pay per hour?

As of Jun 27, 2026, the average hourly pay for remote prompt engineer in Connecticut is $53.26, according to ZipRecruiter salary data. Most workers in this role earn between $38.17 and $70.87 per hour, depending on experience, location, and employer.

Is prompt engineer a remote job?

Prompt engineering is often a remote role, especially as many companies seek flexible work arrangements for AI and machine learning specialists. It typically involves working with AI models and requires skills in natural language processing, with many positions offering fully remote options. However, some roles may require on-site presence depending on the employer.

What is a Remote Prompt Engineer job?

A Remote Prompt Engineer designs, refines, and optimizes prompts to improve interactions between users and AI models. They work with natural language processing (NLP) systems to enhance response accuracy and relevance. This role often involves testing different prompts, analyzing AI outputs, and collaborating with developers or researchers to fine-tune language models. Since the position is remote, engineers use online tools and communication platforms to collaborate with teams and stay updated on AI advancements.

What does a typical workday look like for a Remote Prompt Engineer?

As a Remote Prompt Engineer, your workday often involves designing and testing prompts for various AI models, collaborating with product managers and developers, and analyzing model outputs to refine interactions. You may also participate in virtual team meetings to discuss project goals, provide feedback on AI performance, and stay updated on new advancements in prompt engineering. Routine responsibilities include documenting prompt structures, troubleshooting model behavior, and integrating feedback from client or user testing. This dynamic and collaborative environment enables you to contribute creative solutions and drive continuous improvement in AI-driven applications.

What are the key skills and qualifications needed to thrive in the Remote Prompt Engineer position, and why are they important?

To thrive as a Remote Prompt Engineer, you need expertise in natural language processing, prompt design, and a background in computer science or a related field. Familiarity with AI platforms (such as OpenAI or Anthropic APIs), programming languages like Python, and prompt engineering tools is highly valuable. Outstanding communication, collaboration, and problem-solving skills help remote team members excel in optimizing AI performance. These competencies ensure tailored, effective AI solutions and smooth, results-driven teamwork from a remote environment.

What engineer makes $500,000 a year?

Senior engineers in specialized fields such as software engineering, data engineering, or machine learning engineering can earn $500,000 or more annually, especially with experience, advanced skills, and working in high-demand industries or companies. Compensation often includes base salary, bonuses, and stock options, particularly in tech giants or startups with significant growth potential.

How can I make 2000 a week working from home?

A remote prompt engineer can earn $2000 a week by taking on multiple freelance or contract projects that require designing and refining AI prompts, often through platforms like Upwork or Fiverr. Building specialized skills in AI, natural language processing, and prompt optimization, along with a strong portfolio, can help secure higher-paying opportunities and consistent income.

How to make $1000 a week remote?

A remote prompt engineer can earn $1000 a week by working on multiple freelance projects, building a strong portfolio, and developing specialized skills in AI and natural language processing. Consistent client acquisition, efficient time management, and leveraging platforms like Upwork or Fiverr can help reach this income level. Certifications in AI or related fields can also enhance earning potential.
What are the most commonly searched types of Prompt Engineer jobs in Connecticut? The most popular types of Prompt Engineer jobs in Connecticut are:
What are popular job titles related to Remote Prompt Engineer jobs in Connecticut? For Remote Prompt Engineer jobs in Connecticut, the most frequently searched job titles are:
Infographic showing various Remote Prompt Engineer job openings in Connecticut as of June 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 100% Remote job distribution, with an average salary of $110,790 per year, or $53.3 per hour.

AVP, AI Engineering (Remote - EST)

Archgroup

Hartford, CT โ€ข Remote

$185K - $235K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 hours ago


Job description

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals. In short, We Enable Possibility.

Job Summary

Strategic Analytics is a dynamic and growing team at Arch that drives innovation and transforms how the businessoperates. We build AI-first, agent-driven products that change how Arch underwrites, services, and learns from its book - combining frontier LLMs, multi-agent orchestration (MCP, A2A), retrieval-augmented generation, evaluation harnesses, and traditional ML where it still wins.Our missionis broad: agentic automation, decision support, AI-driven insights, and the platform engineeringrequiredto make all ofitproduction-grade.

We have a strongtrack recordof success(productionalizingdozens of gen AI products over the last 3 years) -weaim to continue scaling these efforts and are seeking an AVP AI EngineeringSenior Agentic Software Engineer to lead the build-out of true multi-agent systems within Strategic Analytics. Reporting to the VP of AI & Automation, you will design andoperateorchestrations where agents communicate directly with one another - not just sequential, hand-off-driven workflows - to deliver underwriting and claims automations end-to-end.

This role sits at the seam between automation engineering (AE) and implementation engineering (IE). You will own everything from the master agent down through worker agents, while partnering with IE on theorchestrationentry points and any infrastructure-side connectors.

Key Responsibilities

  • Design and build multi-agent orchestration patterns (master-orchestrator + specialized worker agents) using protocols such as MCP and A2A.
  • Lead end-to-end delivery of agentic underwriting and claimsautomations, from prototype through production hardening.
  • Partner with IE on orchestration entry-point design (e.g., Azure Function endpoints, master-agent gateways) so the AE/IEseamis clean and scalable.
  • Leadoffshore engineers and team members on agentic patterns, prompt engineering, and reliability practices.
  • Establish coding, evaluation, and observability standards for agentic systems within the AI & Automation Center of Excellence.
  • Translate business intent into working agentic systems - not just systems that compile, but systems that deliver measurable business outcomes.

Required Skills / Experience

  • 7+ years of software engineering and/or automation engineering experience.
  • 3+ years of people leadership experience
  • Demonstratedexperience buildingproduction grademulti-agent or agentic systems (not just POCs that did not ship).
  • Strongtrack recordof shipping AI, analytics, and/or automation products that have a financially measurable impact on the business
  • StrongPython experience with API development, async patterns, and service orchestration.
  • Hands-onexperiencewith at least one agentic framework (e.g.,LangGraph, Claude Cowork / Agent SDK, OpenAI Agents,AutoGen) and at least one inter-agent protocol (MCP, A2A).
  • Resilient problem solving - comfortable with ambiguous problems and capable of breaking them into shippable increments.
  • Strong written and verbal communication; able tooperateacross IE, AE, DS, and business stakeholders.
  • Demonstrated, hands-on production experience (not POC-only) with the current AI stack: RAG, MCP / A2A or equivalent agent-to-agent protocols, agentic orchestration frameworks, and the ability to articulate where each is the right tool. Comfort scanning for and trialing new tooling asthe spaceevolves.

Desired Skills / Experience

  • Background that includes a stretch of "real" software engineering before moving into analytics or AI (e.g., SWE for a few years, then a master's in analytics, then 5+ years in the AI/ML space).
  • P&C insurance domain familiarity - underwriting, claims, or submission lifecycle.
  • Experience with retrieval-augmented generation (RAG), evaluation harnesses, and structured-output patterns.
  • Cloud experience in Azure (preferred for our stack) and/or AWS; familiarity with private endpoints and enterprise-grade safeguards.
  • Experience leading multidisciplinary teams (onshore + offshore) for technology delivery.
  • Visibletrack recordof self-directed learning in the AIspace - sideprojects, contributions to agentic frameworks, write-ups, conference talks, or other evidence that the candidate is investing personal time staying ahead of the curve.

Education

  • College degree in Computer Science, Software Engineering, Data Analytics, or equivalent practical experience.

#LI-LH1

#LI-REMOTE

For individuals assigned or hired to work in the location(s) indicated below, the base salary range is provided. Range is as of the time of posting. Position is incentive eligible.

$185,000 - $235,000/year

  • Total individual compensation (base salary, short & long-term incentives) offered will take into account a number of factors including but not limited to geographic location, scope & responsibilities of the role, qualifications, talent availability & specialization as well as business needs. The above pay range may be modified in the future.

  • Arch is committed to helping employees succeed through our comprehensive benefits package that includes multiple medical plans plus dental, vision and prescription drug coverage; a competitive 401k with generous matching; PTO beginning at 20 days per year; up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer; basic Life and AD&D Insurance as well as Short and Long-Term Disability; Paid Parental Leave of up to 10 weeks; Student Loan Assistance and Tuition Reimbursement, Backup Child and Elder Care; and more. Click here to learn more on available benefits.

Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you.If this job isn't the right fit but you're interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch's Talent Acquisition team.

10200 Arch Capital Services LLC