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Prompt Engineering Jobs in Boston, MA (NOW HIRING)

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 ...

Optimize LLM API interactions using prompt engineering, retrieval-augmented generation (RAG), contex management, and performance tuning. * Code Quality / Code Reviews: Write clean, maintainable, and ...

Prompt Engineering * AI Output Evaluation * Technical Documentation * Technical & Professional Writing * Content Review & Editing * Data Annotation * Fact Checking * Independent Research * Business ...

Prompt Engineering * AI Output Evaluation * Technical Documentation * Technical & Professional Writing * Content Review & Editing * Data Annotation * Fact Checking * Independent Research * Business ...

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 AI Engineer

Boston, MA · On-site

$113K - $155K/yr

Drive prompt engineering and iteration - refine prompts, templates, and context strategies to meet product quality and reliability goals. * Manage real-world evaluation metrics - measure usefulness ...

Showing results 41-60

Prompt Engineering information

See Boston, MA salary details

$35.3K

$68.4K

$103.7K

How much do prompt engineering jobs pay per year?

As of Aug 17, 2026, the average yearly pay for prompt engineering in Boston, MA is $68,415.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,100.00 and $78,200.00 per year, depending on experience, location, and employer.

What is prompt engineering?

A Prompt Engineering job involves designing, refining, and optimizing prompts to improve the performance of AI language models. Prompt engineers work with large language models (LLMs) to generate accurate, relevant, and high-quality responses. They experiment with different phrasing techniques, fine-tune AI outputs, and collaborate with developers to enhance model capabilities. This role is essential in ensuring AI systems provide reliable and useful responses for various applications.

What skills and qualifications are needed for prompt engineering?

To excel in Prompt Engineering, a strong grasp of natural language processing (NLP), machine learning concepts, and analytical thinking is essential, often supported by a degree in computer science or a related field. Familiarity with AI platforms, code repositories (such as GitHub), and prompt development tools is typically required. Excellent problem-solving, creativity, and cross-functional communication skills help Prompt Engineers effectively collaborate and refine model outputs. These capabilities enable the creation of precise, effective prompts driving high-quality AI responses in rapidly evolving technical environments.

What do you do as a prompt engineer?

A prompt engineer designs and refines prompts to improve the performance of AI language models. They analyze model responses, experiment with prompt structures, and use tools like AI development platforms to ensure accurate and relevant outputs, often requiring skills in programming and understanding of AI behavior.

What are the most common challenges faced by prompt engineers in their daily work?

Prompt Engineers frequently encounter challenges such as ensuring the clarity and relevance of prompts to achieve accurate AI responses, troubleshooting inconsistent model behavior, and staying updated with evolving AI technologies. Balancing experimentation with efficiency is often essential, as iterative testing and refinement are core parts of the workflow. Collaboration with data scientists, product managers, and other engineers is common, requiring adaptability and strong communication skills. These challenges make the role dynamic and rewarding for professionals who enjoy problem-solving and innovation.

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

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

What cities near Boston, MA are hiring for Prompt Engineering jobs?

Cities near Boston, MA with the most Prompt Engineering job openings:

Infographic showing various Prompt Engineering job openings in Boston, MA as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, 5% Contract, and 1% Nights. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $68,415 per year, or $32.9 per hour.

Senior Software Engineer, Agentic AI

Invicti Security

Boston, MA • Remote

$125K - $165K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 15 days ago


Job description

Who You Are:

You’re a seasoned software engineer ready for your next challenge. In this role, you’ll join Invicti’s newly formed AI team as a Senior Software Engineer, Agentic AI, and play a pivotal role in building our next-generation Agentic AppSec solution. As AI reshapes how software is built and how attackers exploit it, you’ll help give defenders an edge by applying attacker-inspired techniques to solve modern security challenges.

You design, build, and deliver software solutions rapidly, working across the stack from agent architectures and memory systems to integrations with security tools and developer workflows. You collaborate closely with product and security teams to deliver capabilities that solve real customer problems. You thrive in a high-ownership role on a small team, where your technical decisions directly shape the product, with an initial focus on agentic pentesting.

What You’ll Be Doing:
  • Multi-Agent System Development: Design and implement autonomous agent systems in Python using frameworks like AWS Strands Agents, with emphasis on orchestration, reasoning, and decision-making
  • MCP Integrations: Create Model Context Protocol integrations connecting Octo to security tools, developer environments, and AI coding assistants like Cursor and GitHub Copilot
  • LLM Prompt Engineering: Develop and refine prompt chains for real security use cases, including triage, prioritization, and remediation
  • RAG & Memory Systems: Build retrieval-augmented generation pipelines and memory architectures that give agents a persistent, contextual understanding of customer environments
  • End-to-End Ownership: Own features from design through production — build, test, deploy, and measure outcomes
  • Cross-Team Collaboration: Work closely with product, platform engineering, security research, and infrastructure teams to ensure we're building what customers need
  • Experimentation & Productization: Evaluate new AI/ML capabilities and determine how to bring them to production
What You’ll Need:
  • 5+ years of production software development experience with a track record of shipping high quality solutions
  • Hands-on experience building LLM-powered applications, RAG systems, or agentic AI
  • Strong Python proficiency with solid software engineering fundamentals
  • Understanding of distributed systems, API design, and cloud-native architectures
  • Experience with prompt engineering, embeddings, and vector databases
  • End-to-end software development skills, including frontend development, building pipelines, tests, monitoring, and scalability
  • Ability to balance engineering rigor with pragmatic delivery, embracing agentic coding tools like Claude Code to accelerate delivery
  • Clear communication skills — you surface problems early and propose solutions
What's Preferred:
  • Experience with agent frameworks (AWS Strands, LangGraph, AutoGen, CrewAI) in production environments
  • Familiarity with MCP (Model Context Protocol) and AI tool integration patterns
  • Background in application security, penetration testing, or security tooling
  • Experience with Go or C# for performance-critical components
  • Ability to build single-page applications using Vue.js
  • AWS experience with Bedrock and Kubernetes deployments
  • Familiarity with using GitLab for source control and CICD
  • Knowledge of evaluation methodologies for LLM systems (benchmarks, red-teaming, human feedback)
  • Experience building third-party product integrations using REST APIs
  • Contributions to open-source AI/ML projects
What You’ve Got:
  • Strong problem-solving mindset with intellectual curiosity about AI/ML
  • High degree of ownership, accountability, and initiative
  • Comfortable working in fast-paced environments where prototypes are rapidly iterated or discarded
  • Excited about autonomous AI systems and seeing your work used by real customers
  • Adaptable and effective working across distributed teams
  • Detail-oriented, with a focus on delivering systems that scale and last
Why Invicti:Your Health & Wellness Matters:
  • Health Insurance: We cover 100% of employee health care, vision, and dental premium costs. For dependents, we contribute 75% of healthcare and 50% vision/dental premium cost. Coverage is effective on your first day.
  • Employee Assistance Program: Emotional support counseling services — 24/7 life coaching, dependent care, elder care, financial & legal support, wellness coaching, new parent support, and more
  • Parental Leave: 16-week paid leave for birthing parent recovery; 4-week paid leave for non-birthing/bonding parent
  • 401(k) Savings Plan: 50% up to 6% company match with 100% annual cliff vesting
We Value Work/Life Balance:
  • Hybrid Flexible Schedule
  • Discretionary Time Off: Take time away from work when you need it (subject to manager approval)
  • Quarterly Thrive-Wellness Days: One extra day per quarter where the entire company takes a break to refresh and rejuvenate
  • Volunteerism Time Off: 5 days of paid time off each year to participate in volunteer activities of your choice
We Value You:
  • Learning & Development Budget: Investment in your professional growth
  • Employee Recognition: Ongoing recognition & rewards in a culture that emphasizes personal and professional growth

At Invicti, we embrace diversity and individuality in all forms. Discrimination has no place here - regardless of race, religion, gender, age, ability, sexual orientation, or any other aspect that makes you unique. We're all about creating a space where everyone feels valued and included. So come as you are and join us in shaping the future of our industry.