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Prompt Engineer Jobs in Wellesley, MA (NOW HIRING)

DATAECONOMY

Gen AI platform Engineer

Boston, MA · On-site

Design and implement RAG pipelines, prompt engineering strategies, and AI guardrails. * Build backend services in FastAPI for agent submission, execution, lifecycle state machines, and status ...

IntraEdge

Sr. Engineer - Backend

Woonsocket, RI · On-site

Familiarity with LLM concepts (prompt engineering, APIs for model access, basic NLP tasks) * Experience with RESTful APIs , API security, and integration patterns * Proficient in Docker , Git, and ...

Klaviyo

Senior AI Engineer

Boston, MA · On-site

$113K - $155K/yr

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 ...

Novia Infotech

NEED AI FULL STACK DEVELOPER

Boston, MA · On-site

Implement prompt engineering, agent orchestration, and Generative AI capabilities using modern AI frameworks. * Collaborate with data, cloud, product, and engineering teams to translate business ...

NorthEastern

Associate AI Engineer

Boston, MA

Advanced knowledge of NLP techniques and large language models (LLMs), including prompt engineering, context management, and implementation strategies for enterprise applications. * Cloud Computing:

Northeastern University

Associate AI Engineer

Boston, MA · On-site

$100 - $125/hr

Advanced knowledge of NLP techniques and large language models (LLMs), including prompt engineering, context management, and implementation strategies for enterprise applications.Cloud Computing:

Klaviyo

Senior AI Application Engineer

Boston, MA · On-site

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 ...

Re:Build Manufacturing

Senior AI Engineer

Boston, MA · On-site

$113K - $155K/yr

You've shipped LLM-powered agent systems to real users, you have strong intuitions about prompt engineering, tool use, and orchestration patterns, and you keep up with a field that changes fast. You ...

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All JobsPrompt Engineer JobsPrompt Engineer Jobs in Wellesley, MA

Prompt Engineer information

See Wellesley, MA salary details

$11

$51

$96

How much do prompt engineer jobs pay per hour?

As of Sep 8, 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 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 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.

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.

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.

How much do prompt engineers make?

Prompt engineers typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in AI and machine learning can command higher salaries, especially in tech hubs or companies investing heavily in AI development.

What exactly is prompt engineer work?

A prompt engineer designs and optimizes prompts used to interact with AI language models, ensuring accurate and relevant responses. This role involves understanding AI behavior, crafting clear instructions, and often requires knowledge of machine learning, programming, or data analysis.

What cities near Wellesley, MA are hiring for Prompt Engineer jobs?

Cities near Wellesley, MA with the most Prompt Engineer job openings:

Prompt Engineer jobs near you
Infographic showing various Prompt Engineer job openings in Wellesley, MA as of August 2026, with employment types broken down into 6% Internship, 74% Full Time, 14% Part Time, and 6% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $107,430 per year, or $51.6 per hour.

Gen AI platform Engineer

Boston, MA • On-site

DATAECONOMY
IT Services • 51 - 200 employees
Learn more about DATAECONOMYexternal

Other

Posted 13 days ago

Job description

GenAI Platform Engineer

Boston, MA

Full-time role

Experience: 10+yrs

 

About the Role

We''''''''re looking for a Senior GenAI Platform Engineer to build and operate our enterprise AI agent platform — hands-on, in the code, every day. This is an individual contributor role with no direct reports. You''''''''ll design and build durable asynchronous orchestration, RAG pipelines, and secure multi-agent workflows on AWS, working alongside a small team of peer engineers. You''''''''ll participate in architecture discussions and code reviews as a strong technical contributor, not as a manager.

Education & Experience

  • Bachelor’s degree in computer science, Information Systems, Engineering, or equivalent practical experience.
  • 5–8 years of professional software engineering experience.
  • 2+ years of hands-on experience building GenAI/Agentic AI applications in production.

What You''''''''ll Do

  • Build AI agents and multi-agent workflows using Amazon Bedrock, Bedrock Agents, AgentCore, LangChain, and LangGraph.
  • Design and implement RAG pipelines, prompt engineering strategies, and AI guardrails.
  • Build backend services in FastAPI for agent submission, execution, lifecycle state machines, and status tracking.
  • Implement queue-based dispatch and durable state stores, ensuring idempotency, retries, and failure recovery.
  • Write Infrastructure as Code (Terraform) to provision and manage agent infrastructure on AWS.
  • Integrate agents with vector databases, enterprise messaging systems, and internal workflow tools.
  • Instrument services for observability — structured logging, tracing, metrics.
  • Participate in code reviews and architecture discussions as a peer contributor.
  • Write clear technical documentation (design docs, runbooks) for systems you build.

Required Qualifications

  • Expert-level Python, with strong experience building REST APIs (FastAPI preferred).
  • Hands-on experience with LLMs, Amazon Bedrock (Agents & AgentCore), LangChain, LangGraph, RAG, and vector databases.
  • Strong experience with core AWS services: Lambda, ECS/EKS, API Gateway, S3, RDS/PostgreSQL.
  • Working proficiency in Terraform and Docker.
  • Experience with CI/CD pipelines (GitHub Actions, GitLab CI, or Jenkins).
  • Solid understanding of asynchronous programming and event-driven architectures (Kafka or SQS).
  • Experience with modern authentication patterns (OAuth2, OIDC, JWT) and AWS IAM.

Technical skills

  • Programming: Python , FastAPI
  • Generative AI: Amazon Bedrock, Bedrock Agents, AgentCore, LangChain, LangGraph, Prompt Engineering, Retrieval-Augmented Generation (RAG), AI Guardrails, Multi-Agent Systems
  • Vector Databases: Pinecone, Amazon OpenSearch Vector Engine, FAISS, ChromaDB, pgvector
  • Infrastructure as Code: Terraform, AWS CloudFormation (preferred exposure)
  • Containers & Orchestration: Docker
  • Databases: PostgreSQL, DynamoDB
  • Event-Driven Architecture: Amazon SQS, Apache Kafka
  • Authentication & Security: OAuth 2.0, OpenID Connect (OIDC), JWT, AWS IAM, Enterprise Identity Integration (Microsoft Entra ID)
  • CI/CD & DevOps:  Git, Automated Deployment Pipelines
  • Observability: AWS Observability
  • Software Engineering: System Design, Microservices Architecture, Backend Development, API Design, Code Reviews, Technical Documentation, Design Documents, Runbooks
  • Development Practices: Unit Testing, Integration Testing, Code Quality, Secure Coding Practices, Agile/Scrum

 

Preferred Qualifications

  • AWS Associate or Professional certification.

Apply