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Ai Prompt Engineer Entry Level Jobs in Boston, MA

Philips

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)

Entegris

Specialist, AI Engineer

Bedford, MA · On-site

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 ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$32 - $35/hr

Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge Graphs MLOps Certification Cloud Certifications (AWS, Azure, GCP)

Winaxis

AI/ML Engineer

Boston, MA · On-site

$124K - $149K/yr

Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge Graphs MLOps Certification Cloud Certifications (AWS, Azure, GCP)

Winaxis

AI/ML Engineer

Boston, MA · On-site

$35 - $45/hr

About the Role We are seeking a talented and innovative AI/ML Engineer to design, develop, and ... Prompt Engineering * Fine-tuning LLMs * Knowledge Graphs * MLOps Certification * Cloud ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$124K - $149K/yr

Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge Graphs MLOps Certification Cloud Certifications (AWS, Azure, GCP)

Winaxis

AI/ML Engineer

Boston, MA · On-site

$30 - $35/hr

Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge Graphs MLOps Certification Cloud Certifications (AWS, Azure, GCP)

Holland & Knight

AI Legal Engineer

Boston, MA

... 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 ...

YO AI Labs

AI Finance Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Quality Assurance * Prompt Engineering * AI Output Evaluation * Financial Analysis * Technical & Report Writing * Business Communication * Content Review & Editing * Fact Checking * Data ...

YO AI Labs

AI Finance Expert - Remote

Boston, MA · Remote

$100 - $200/hr

Quality Assurance * Prompt Engineering * AI Output Evaluation * Financial Analysis * Technical & Report Writing * Business Communication * Content Review & Editing * Fact Checking * Data ...

Deloitte

AI Engineer Consultant

Boston, MA · Hybrid

We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ... prompt/context patterns. * Implement LLM application patterns including RAG, document ingestion ...

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All JobsAi Prompt Engineer JobsAi Prompt Engineer Entry Level JobsAi Prompt Engineer Entry Level Jobs in Boston, MA

Ai Prompt Engineer Entry Level information

See Boston, MA salary details

$32.6K

$75.4K

$128.2K

How much do ai prompt engineer entry level jobs pay per year?

As of Aug 19, 2026, the average yearly pay for ai prompt engineer entry level in Boston, MA is $75,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,900.00 and $85,300.00 per year, depending on experience, location, and employer.

What is an AI prompt engineer at the entry level?

An entry-level AI Prompt Engineer is a professional who specializes in designing, testing, and refining prompts used to interact with AI language models like ChatGPT. Their main responsibility is to create effective prompts that guide AI systems to generate accurate, relevant, and useful responses for specific tasks or applications. Entry-level prompt engineers often work closely with data scientists, developers, and product teams to improve AI outputs, ensuring the technology meets user needs. This role requires strong analytical skills, creativity, and a basic understanding of natural language processing and machine learning concepts.

What are some common challenges faced by entry-level AI prompt engineers when working with large language models?

Entry-level AI Prompt Engineers often encounter challenges such as crafting effective prompts that elicit accurate and relevant responses from large language models. Balancing specificity and creativity while avoiding ambiguity can be tricky, and it's common to iterate multiple times before achieving the desired output. Additionally, understanding the model's limitations and biases is essential to avoid unintended results. Collaboration with data scientists and software engineers is frequent, as prompt engineers may need to integrate their work into larger AI systems or workflows.

What are the key skills and qualifications needed to thrive as an entry-level AI prompt engineer, and why are they important?

To thrive as an Entry-Level AI Prompt Engineer, you need a foundational understanding of natural language processing, prompt design, and basic programming skills, often supported by a degree in computer science or a related field. Familiarity with AI platforms like OpenAI, experience with prompt engineering tools, and basic knowledge of Python or similar languages are typically expected. Strong analytical thinking, creativity, and effective communication help you craft clear, high-performing prompts and collaborate with cross-functional teams. These skills are essential for developing accurate, user-friendly AI outputs and ensuring the practical success of AI-driven projects.

What is the difference between Ai Prompt Engineer Entry Level vs Ai Content Specialist?

AspectAi Prompt Engineer Entry LevelAi Content Specialist
Required CredentialsBasic knowledge of AI, programming, or linguistics; often a degree in related fieldsWriting, editing, or marketing background; often a degree in communications or related fields
Work EnvironmentTech companies, AI startups, or freelance projectsMedia agencies, content creation firms, or corporate marketing teams
Employer & Industry UsagePrimarily in AI development and machine learning industriesIn advertising, media, and digital marketing sectors

While both roles involve working with digital content and technology, Ai Prompt Engineers focus on designing prompts for AI models, whereas Ai Content Specialists create and manage content for various platforms. The roles share some technical skills but differ in their core responsibilities and industry applications.

Are AI prompt engineers in demand?

AI prompt engineers are increasingly in demand as organizations seek to optimize AI language models for various applications. The role requires skills in natural language processing, creativity, and familiarity with AI tools like GPT, with job growth driven by expanding AI adoption across industries.

How to get into AI prompt engineering?

To enter AI prompt engineering, develop strong skills in natural language processing, machine learning, and programming languages like Python. Gain experience with AI models such as GPT and learn to craft effective prompts through practice and understanding of model behavior; certifications in AI or data science can also be beneficial.

What are the most commonly searched types of Ai Prompt Engineer jobs in Boston, MA?

The most popular types of Ai Prompt Engineer jobs in Boston, MA are:

What are popular job titles related to Ai Prompt Engineer Entry Level jobs in Boston, MA?

For Ai Prompt Engineer Entry Level jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Ai Prompt Engineer Entry Level jobs in Boston, MA look for?

The top searched job categories for Ai Prompt Engineer Entry Level jobs in Boston, MA are:

Ai Prompt Engineer Entry Level jobs near you
Infographic showing various Ai Prompt Engineer Entry Level job openings in Boston, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Hybrid job distribution, with an average salary of $75,355 per year, or $36.2 per hour.

Senior AI Engineer - Boston, MA - Contract Opportunity

Zodiac Solutions

Boston, MA • On-site

$113K - $155K/yr

Contractor

Re-posted 9 days ago

Job description

Job Title: Senior AI Engineer
Location: Boston, MA – 4 days/week onsite

Duration: Contract Opportunity

Senior Level – 15+ yrs Only

F2F Interview is required for final round mandatory.

Job Description:

This role focuses on developing AI applications powered by large language models (LLMs), retrieval-augmented generation (RAG), Model Context Protocol (MCP) servers, and Agentic AI across the enterprise. Need someone with Langchain/LangGraph exp.

Seeking a highly skilled AI Engineer to design and build Generative and Agentic AI systems that transform how our company operates and serves customers. This role focuses on developing AI applications powered by large language models (LLMs), retrieval-augmented generation (RAG), Model Context Protocol (MCP) servers, and Agentic AI across the enterprise for internal and customer facing use cases.

The ideal candidate has strong experience with a modern AI/ML stack, including a profound Python experience, including AI relevant packages and tools, LLM architectures and frameworks, RAG, MCP, prompt engineering, use of AI tools, budling teams of AI agents, and production-grade AI systems design and development.

You will work closely with technology, data, and business teams to build scalable AI solutions that drive operational efficiency and innovation across the enterprise.

Key Responsibilities:

  • Design, build, and deploy scalable LLM-powered applications, solutions, and digital products for customer support, business use cases, and internal productivity.
  • Develop AI agents, Agentic Platforms, and Agentic AI systems capable of reasoning, planning, and executing multi-step workflows.
  • Implement Retrieval-Augmented Generation (RAG) architectures and pipelines to leverage proprietary data, and internal knowledge bases.
  • Build MCP servers, multi-connectivity enabled and multi-modal Agentic platforms, and AI assistants to support internal teams and customer facing.
  • Integrate AI/ML solutions with enterprise systems, APIs, and data platforms.
  • Design prompt strategies, evaluation frameworks, and guardrails to ensure accuracy, security, and regulatory compliance.
  • Optimize LLM performance through fine-tuning, prompt engineering, and model orchestration.
  • Develop MLOps and LLMOps pipelines for monitoring, evaluation, and continuous improvement of AI systems.
  • Help in forming buy or build decisions and work with external vendors, consultants and internal teams to deliver scalable top-quality AI solutions timely.
  • Stay up to date with emerging advancements in AI/ML, Generative AI, Agentinc frameworks, and model architectures. 

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Applied Mathematics, or related field.
  • 2+ years of software engineering experience, including work with machine learning (ML) or AI systems.
  • Hands-on experience building LLM-powered applications in production environments.
  • Strong programming skills in Python, and familiarity with AI/ML relevant packages such as NumPy, Pandas, SciPy and Scikit-learn.
  • Experience with LLM ecosystems such as:
    • OpenAI / Anthropic / Google, Open-source LLMs
    • Hugging Face
    • LangChain, LlamaIndex, or similar orchestration frameworks
  • Experience building RAG pipelines and working with vector databases.
  • Understanding of prompt engineering, embeddings, and model evaluation.
  • Experience building APIs, MCPs, and scalable backend services.
  • Experience with Claude Code, Codex, Cursor, GitHub Copilot, or similar.
  • Ability to collaborate with cross-functional teams.
  • Passion for technology and AI.

Preferred Qualifications:

  • Experience building AI agents, agentic platforms, or autonomous workflows.
  • Familiarity with agent frameworks (LangGraph, AutoGen, CrewAI, Semantic Kernel, Frontier, etc.).
  • Experience with fine-tuning LLMs or parameter-efficient training methods (LoRA, PEFT).
  • Experience with cloud-based AI infrastructure (AWS, Azure, or GCP).
  • Familiarity with Java, JS, and Java applications and environments.
  • Experience with MLOps / LLMOps tools and evaluation pipelines.

Experience implementing AI governance, observability, and guardrails.