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Generative AI Engineer (Local to MA)

May 29, 2026

Role: AI EngineerLocation: Boston, MA – 4 days/week onsiteExp: 8+ YrsDuration: Long TermInterview: Virtual + F2F Interview is required Note: Need only local to MA 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 LLMsHugging FaceLangChain, LlamaIndex, or similar orchestration frameworksExperience 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.

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

2. HOW DO YOU USE THE DIFFERENT COMMUNICATION TOOLS IN DIFFERENT SITUATIONS?

When you're working on a remote team, there's no way to chat in the hallway between meetings or catch up on the latest project during an office carpool. Therefore, virtual communication will be absolutely essential to get your work done...

3. WHAT IS "WORKING REMOTE" REALLY FOR YOU?

Many people want to work remotely because of the flexibility it allows. You can work anywhere and at any time of the day...

4. WHAT DO YOU NEED IN YOUR PHYSICAL WORKSPACE TO SUCCEED IN YOUR WORK?

With this question, companies are looking to see what equipment they may need to provide you with and to verify how aware you are of what remote working could mean for you physically and logistically...

5. HOW DO YOU PROCESS INFORMATION?

Several years ago, I was working in a team to plan a big event. My supervisor made us all work as a team before the big day. One of our activities has been to find out how each of us processes information...

6. HOW DO YOU MANAGE THE CALENDAR AND THE PROGRAM? WHICH APPLICATIONS / SYSTEM DO YOU USE?

Or you may receive even more specific questions, such as: What's on your calendar? Do you plan blocks of time to do certain types of work? Do you have an open calendar that everyone can see?...

7. HOW DO YOU ORGANIZE FILES, LINKS, AND TABS ON YOUR COMPUTER?

Just like your schedule, how you track files and other information is very important. After all, everything is digital!...

8. HOW TO PRIORITIZE WORK?

The day I watched Marie Forleo's film separating the important from the urgent, my life changed. Not all remote jobs start fast, but most of them are...

9. HOW DO YOU PREPARE FOR A MEETING AND PREPARE A MEETING? WHAT DO YOU SEE HAPPENING DURING THE MEETING?

Just as communication is essential when working remotely, so is organization. Because you won't have those opportunities in the elevator or a casual conversation in the lunchroom, you should take advantage of the little time you have in a video or phone conference...

10. HOW DO YOU USE TECHNOLOGY ON A DAILY BASIS, IN YOUR WORK AND FOR YOUR PLEASURE?

This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...