Artificial Intelligence Engineer

Intellect Inc
Winthrop, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 140K

Job location

Winthrop, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Artificial Neural Networks
Azure
Continuous Integration
Python
Machine Learning
Natural Language Processing
TensorFlow
PyTorch
Large Language Models
Prompt Engineering
Deep Learning
Model Validation
Kaggle
FastAPI
Information Technology
HuggingFace
Free and Open-Source Software
Machine Learning Operations
Docker

Job description

  • Designing, building, and deploying machine learning models and AI-powered features into production
  • Working with LLMs, NLP, and deep learning frameworks to solve meaningful business problems
  • Building and maintaining end-to-end AI pipelines in collaboration with data scientists and engineering teams
  • Experimenting with prompt engineering, fine-tuning, and retrieval-augmented generation (RAG)
  • Contributing to model evaluation, testing, monitoring, and continuous improvement
  • Staying close to the latest AI research and translating it into practical, scalable applications

Requirements

  • A degree in Computer Science, AI, Mathematics, Data Science, or a related field (Master's a plus, not a must)
  • Strong Python skills and hands-on experience with ML frameworks such as PyTorch, TensorFlow, or Hugging Face
  • Solid understanding of machine learning fundamentals - neural networks, transformers, classification, regression, and model evaluation
  • Exposure to LLMs, generative AI, or NLP through coursework, projects, internships, or personal builds
  • A problem-solving mindset, intellectual curiosity, and a genuine drive to build things that work
  • Clear communication skills - you can explain what you built, why it matters, and what you'd do differently

Bonus Points

  • Experience with cloud platforms: AWS, GCP, or Azure
  • Familiarity with vector databases, embeddings, or RAG pipelines
  • MLOps experience - Docker, FastAPI, CI/CD, or similar deployment tooling
  • Open-source contributions, Kaggle competitions, or side projects that show you build for fun
  • Prior experience or coursework in biotech, healthcare, or life sciences AI applications
  • Research experience or academic publications in machine learning or AI

Benefits & conditions

  • $110,000 - $140,000 base salary depending on experience
  • Roles across Greater Boston including Cambridge, Kendall Square, and hybrid-friendly companies throughout the metro area
  • Fast-moving environments where your work ships and has real impact
  • Clear growth path into senior and staff AI engineering roles
  • The support of a specialized recruitment team with deep roots in the AI, data, and machine learning market

About the company

Intellect Group is actively placing AI Engineers with high-growth technology and AI-first companies across Boston. Whether you're a recent grad with strong technical foundations or an early-career engineer who's already built and deployed models, we want to hear from you. We partner with funded AI startups, biotech innovators, and research-driven technology businesses who are hiring AI engineering talent right now - and Boston's AI scene is one of the most exciting in the country. This is your chance to work at the intersection of cutting-edge research and real-world application, at companies that are building the next generation of intelligent systems.

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