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Prompt Engineer Jobs in Wellesley, MA (NOW HIRING)

Lead benchmarking, evaluation, and fine-tuning of foundation models for Klaviyo use cases, including prompt engineering and parameter-efficient fine-tuning techniques. • Establish AI engineering ...

AI Solutions Engineer

Cambridge, MA · On-site

$107K - $170K/yr

Design, develop, and deploy enterprise AI solutions from concept through production, leveraging large language models (LLMs), AI agents, prompt engineering, and Retrieval-Augmented Generation (RAG)

Senior Software Engineer, AI Platforms

Boston, MA · On-site

$133K - $175K/yr

Implement prompt engineering and optimization strategies to improve intelligent assistant interactions and AI-powered applications. * Lead maintenance, bug fixing, troubleshooting, and enhancements ...

Expertise in prompt engineering, retrieval pipelines, and modular AI system design. * Strong background in engineering data workflows, including structured and unstructured data integration.

Senior Software Engineer

Boston, MA · On-site

$133K - $175K/yr

... prompt engineering, agentic loop design, and retrieval-augmented generation (RAG). • Experience driving coordinated action between cross-functional teams (product, research, stakeholders) working ...

Specialist, AI Engineer The Role Entegris is seeking a Junior AI Engineer to join our IT Digital ... Contribute to prompt development, evaluation, and basic observability practices (e.g., logging ...

Specialist, AI Engineer The Role Entegris is seeking a Junior AI Engineer to join our IT Digital ... Contribute to prompt development, evaluation, and basic observability practices (e.g., logging ...

Specialist, AI Engineer The Role Entegris is seeking a Junior AI Engineer to join our IT Digital ... Contribute to prompt development, evaluation, and basic observability practices (e.g., logging ...

Showing results 21-40

Prompt Engineer information

See Wellesley, MA salary details

$11

$51

$96

How much do prompt engineer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for prompt engineer in Wellesley, MA is $51.65, according to ZipRecruiter salary data. Most workers in this role earn between $39.28 and $66.73 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 Wellesley, MA are hiring for Prompt Engineer jobs? Cities near Wellesley, MA with the most Prompt Engineer job openings:
Infographic showing various Prompt Engineer job openings in Wellesley, MA as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, and 4% Contract. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $107,430 per year, or $51.6 per hour.

Senior AI Application Engineer

Klaviyo

Boston, MA • On-site

Full-time

Re-posted 12 days ago


Job description

Job Summary:
Klaviyo is a company that empowers creators by making first-party data accessible and actionable. They are seeking a Senior AI Application Engineer to design, build, and scale production-grade LLM integrations and AI-powered automation tools, focusing on applied AI research and full-stack software engineering.
Responsibilities:
• Design and build LLM-powered applications: Architect and develop production-grade systems leveraging large language models (GPT-4, Claude, Mistral, Llama) for internal automation, knowledge retrieval, and intelligent workflow assistance.
• Build and maintain AI integration pipelines: Design robust, scalable API integrations between AI models and internal systems such as HRIS, ticketing, CRM, and knowledge bases, ensuring reliability, low latency, and high availability.
• Develop full-stack AI features end-to-end: Own the complete development of AI features across the stack from backend model orchestration and API layers to frontend interfaces that make AI accessible to non-technical employees.
• Architect and manage CI/CD pipelines for AI systems: Build and maintain automated deployment pipelines for AI models and services, including model evaluation frameworks, A/B testing infrastructure, and safe rollout strategies.
• Implement RAG and retrieval systems: Design and build retrieval-augmented generation systems grounded in Klaviyo internal knowledge, ensuring accuracy, relevance, and up-to-date responses at scale.
• Evaluate and fine-tune AI models: Lead benchmarking, evaluation, and fine-tuning of foundation models for Klaviyo use cases, including prompt engineering and parameter-efficient fine-tuning techniques.
• Establish AI engineering best practices: Define coding standards, testing frameworks, and architectural patterns for AI development at Klaviyo, enabling the team to ship reliable AI features consistently.
• Build AI observability and monitoring tooling: Instrument AI systems with latency monitoring, output quality evaluation, hallucination detection, cost dashboards, and production alerting.
• Collaborate with Product and Data Science: Work closely with PMs, data scientists, and ML engineers to translate requirements into technical implementations, maintaining a tight feedback loop between experimentation and production.
• Drive security and compliance in AI systems: Ensure AI integrations follow data privacy best practices, implement guardrails for sensitive data handling, and maintain compliance with Klaviyo security and governance standards.
Qualifications:
Required:
• 3+ years of software engineering experience, with at least 2 years focused on building AI, ML, or LLM-powered systems in production.
• Deep expertise with large language models such as OpenAI, Anthropic, Mistral, or Llama, and experience integrating them into production applications via API.
• Strong full-stack engineering skills across Python (FastAPI, Flask, or Django) and TypeScript or JavaScript, with experience in modern frontend frameworks.
• Proven experience designing and building CI/CD pipelines for software or ML systems using tools such as GitHub Actions, Jenkins, or CircleCI.
• Experience with RAG systems, vector databases (Pinecone, Weaviate, pgvector), and embedding models.
• Proficiency with cloud infrastructure (AWS, GCP, or Azure), containerization (Docker, Kubernetes), and infrastructure-as-code tools such as Terraform or Pulumi.
• Experience with prompt engineering, model evaluation frameworks, and LLM observability tools such as LangSmith or Weights and Biases.
Company:
Klaviyo is an automation and email platform designed to help grow businesses. Founded in 2012, the company is headquartered in Boston, USA, with a team of 1001-5000 employees. The company is currently Late Stage.