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Assistant Prompt Engineering Jobs in Massachusetts

Trndigital

AI Engineer - Generative AI

Boston, MA · On-site

$150 - $200/hr

Create custom copilots and AI assistants tailored to specific business workflows and industry ... Hands‑on experience with prompt engineering , including advanced techniques like ...

New

New Balance

Principal Software Engineer - AI

Boston, MA

$120K - $150K/yr

A core focus of this role is designing and building enterprise-grade AI assistants and automations ... Prompt Engineering) for the specific business problem. * Effective Communicator: Ability to explain ...

New Balance

Principal Software Engineer - AI

Boston, MA · On-site

$120K - $150K/yr

A core focus of this role is designing and building enterprise-grade AI assistants and automations ... Prompt Engineering) for the specific business problem. * Effective Communicator: Ability to explain ...

Deloitte

Lead Forward Deployed Engineer - Databricks

Boston, MA · On-site

$111K - $146K/yr

... assistants, and knowledge search experiences using one or more enterprise AI platforms (see Platform Requirements below) * Set direction for prompt engineering, tool-use patterns, and human-in-the ...

Deloitte

Lead Forward Deployed Engineer, Palantir

Boston, MA · On-site

$111K - $146K/yr

... assistants, and knowledge search experiences using one or more enterprise AI platforms (see Platform Requirements below) * Set direction for prompt engineering, tool-use patterns, and human-in-the ...

Deloitte

Lead Forward Deployed Engineer, ServiceNow

Boston, MA · On-site

$111K - $146K/yr

... assistants, and knowledge search experiences using one or more enterprise AI platforms (see Platform Requirements below) * Set direction for prompt engineering, tool-use patterns, and human-in-the ...

IBM

Forward Deploy Engineer

Boston, MA · On-site

$200 - $250/hr

Experience with integrating agent workflows, assets, and assistants across various SDLC activities ... Spec Engineering, and Prompt Engineering. * Technical Integration Skills: Experience with ...

Topline Pro

Senior AI Engineer

Boston, MA · On-site

$113K - $155K/yr

Build AI Agent and Chat Capabilities - Develop AI-powered assistants using cutting-edge ... Familiarity with LLMs and NLP techniques, including prompt engineering, fine-tuning, and evaluation

Brown Brothers Harriman & Co.

Senior AI Engineer

Boston, MA · On-site

$175K - $215K/yr

Build and optimize LLM pipelines including prompt engineering, context management, and RAG systems ... Active user of AI coding assistants in daily workflow Nice to Have * Financial services or data ...

Brown Brothers Harriman & Co.

Senior AI Engineer

Boston, MA · On-site

$175K - $215K/yr

Build and optimize LLM pipelines including prompt engineering, context management, and RAG systems ... Active user of AI coding assistants in daily workflow Nice to Have * Financial services or data ...

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Assistant Prompt Engineering information

What is the difference between Assistant Prompt Engineering vs Prompt Engineer?

AspectAssistant Prompt EngineeringPrompt Engineer
Required CredentialsTypically a bachelor's degree in computer science, AI, or related fieldsSimilar, often requiring advanced knowledge in AI and programming
Work EnvironmentSupportive, collaborative teams working on AI projectsFocused on designing and optimizing prompts for AI models
Industry UsageCommon in AI startups, tech companies, and research labsPrimarily in AI development, NLP, and machine learning sectors
Search & Comparison IntentUnderstanding entry-level roles assisting prompt designSpecialized role for prompt optimization and AI interaction

Assistant Prompt Engineering roles typically involve supporting prompt design and require similar credentials as Prompt Engineers. While assistants focus on collaboration and support, Prompt Engineers are more specialized in creating and refining prompts for AI models. Both roles are prevalent in AI and tech industries, with assistants often serving as entry points into prompt-related work.

What are the most commonly searched types of Prompt Engineering jobs in Massachusetts?

The most popular types of Prompt Engineering jobs in Massachusetts are:

What are popular job titles related to Assistant Prompt Engineering jobs in Massachusetts?

For Assistant Prompt Engineering jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Assistant Prompt Engineering jobs in Massachusetts look for?

The top searched job categories for Assistant Prompt Engineering jobs in Massachusetts are:

Assistant Prompt Engineering jobs near you
Infographic showing various Assistant Prompt Engineering job openings in Massachusetts as of June 2026, with employment types broken down into 84% Full Time, 14% Part Time, 1% Temporary, and 1% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

AI Engineer - Generative AI

Trndigital

Boston, MA • On-site

$150 - $200/hr

Other

Posted yesterday

New

Job description

About Trndigital

Trndigital is a Boston-based Microsoft Gold Certified Partner specializing in managed IT services, cloud solutions, and digital transformation. We help enterprises leverage cutting-edge AI technologies, particularly Microsoft 365 Copilot and generative AI solutions, to drive business innovation and productivity. Our team focuses on delivering intelligent, scalable solutions with a strong emphasis on AI adoption, security, and compliance across healthcare, pharmaceutical, finance, and manufacturing sectors.

Position Overview

We’re seeking an experienced AI Engineer with strong expertise in Generative AI to join our growing team. You’ll work directly with enterprise clients to design, implement, and optimize GenAI solutions, helping organizations build custom AI applications. This is a client-facing role where you’ll translate business challenges into innovative AI-powered solutions.

Key Responsibilities Generative AI Solution Development
  • Design and develop generative AI applications using large language models (LLMs) and foundation models
  • Build custom AI solutions for document generation, content creation, intelligent search, and conversational interfaces
  • Develop and optimize prompts, fine-tune models, and implement retrieval-augmented generation (RAG) architectures
  • Create custom copilots and AI assistants tailored to specific business workflows and industry requirements
  • Implement AI-powered automation solutions that enhance productivity and reduce manual work
Required Qualifications Technical Skills
  • 3+ years of experience in AI/ML engineering, with significant focus on Generative AI and LLMs
  • Strong expertise in Large Language Models (GPT-4, Claude, Llama, Gemini, ) and understanding of transformer architectures
  • Hands‑on experience with prompt engineering, including advanced techniques like chain‑of‑thought, few‑shot learning, and system prompts
  • Proficiency in Python and AI/ML libraries (LangChain, LangGraph, LangSmith, LlamaIndex, Hugging Face Transformers, OpenAI SDK)
  • Experience building RAG (Retrieval‑Augmented Generation) systems with vector databases and semantic search
  • Strong understanding of fine‑tuning techniques, including LoRA, full fine‑tuning, and parameter‑efficient methods
  • Knowledge of API integration and building production‑ready AI applications
  • Experience with evaluation frameworks for LLM outputs (accuracy, hallucination detection, quality metrics)
  • Understanding of token optimization, context management, and cost‑efficient LLM usage
Professional Experience
  • Proven track record of implementing Generative AI solutions in enterprise or production environments
  • Background in consulting or client‑facing roles with ability to communicate technical concepts to business stakeholders
  • Experience translating business requirements into AI‑powered solutions
  • Strong problem‑solving skills and ability to manage multiple projects simultaneously
  • Understanding of data security, privacy, and compliance in AI implementations
Soft Skills
  • Excellent communication and presentation skills
  • Ability to explain complex GenAI concepts to non‑technical audiences
  • Strong analytical thinking and creative problem‑solving
  • Self‑motivated with ability to learn and adapt quickly
  • Collaborative mindset and team‑oriented approach
  • Client‑focused with commitment to delivering high‑quality solutions
Preferred Qualifications (Good to Have) Additional Technical Skills
  • Experience working with LangSmith for validation and LangGraph for orchestration
  • Experience with Azure OpenAI Service, Azure AI services, or other cloud AI platforms
  • Knowledge of vector databases (Pinecone, Weaviate, ChromaDB, FAISS)
  • Experience with MLOps/LLMOps practices and deployment pipelines
  • Understanding of multimodal AI (vision‑language models, audio processing)
  • Experience with agent‑based architectures and autonomous AI systems
  • Knowledge of model evaluation frameworks and benchmarking tools
Location
  • Remote
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