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Full Stack Ai Engineer Jobs in Massachusetts (NOW HIRING)

Prudentia Sciences

(Senior) AI / ML Engineer

Boston, MA · On-site

$155K - $173K/yr

Full-Stack AI Engineering: Write maintainable, high-performance code and build clean APIs and services for machine learning applications. * Data Engineering Collaboration: Work with data engineers to ...

EPAM Systems

.NET Full Stack Engineer

Boston, MA · On-site

NET Full Stack Engineer with strong Angular, Azure, C#, and SQL expertise to join a rapid ... AI-assisted development tools (preferably Cursor) for coding acceleration, refactoring, and test ...

Scadea

Full Stack Engineer

Boston, MA

Full Stack Engineer Location: Boston, MA - 5 days a week onsite is required Length: 6-10 months Top Skills Required: Top must haves: Java & AWS - with some exposure to React is fine Must be a team ...

BNY

Vice President, Full-Stack Engineer

Boston, MA · On-site

Vice President, Full-Stack Engineer At BNY, our culture allows us to run our company better and ... Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with ...

Conch Technologies Inc

Java Full Stack Developer

Boston, MA · On-site

$57 - $73.50/hr

Senior Java Full Stack Developer Location: Boston, MA (4 Days/Week Onsite) Duration: 12+ Months ... Familiarity with AI development tools Responsibilities * Design, develop, and maintain full-stack ...

Tutor

Full Stack Software Engineer

Watertown, MA · On-site

Tutor is an AI robotics company focused on building general-purpose robots that integrate seamlessly into various industries. The role of Full Stack Software Engineer involves architecting and ...

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All JobsFull Stack Ai Engineer JobsFull Stack Ai Engineer Jobs in Massachusetts

Full Stack Ai Engineer information

See Massachusetts salary details

$48.6K

$147.2K

$208.1K

How much do full stack ai engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for full stack ai engineer in Massachusetts is $147,186.00, according to ZipRecruiter salary data. Most workers in this role earn between $121,200.00 and $172,600.00 per year, depending on experience, location, and employer.

What is a full stack AI engineer?

A Full Stack AI Engineer is a professional who develops and deploys artificial intelligence solutions across both the front-end and back-end of applications. They combine expertise in AI and machine learning with software engineering skills, allowing them to build, integrate, and maintain AI-powered features throughout the entire technology stack. Their responsibilities often include designing machine learning models, integrating them with APIs, and ensuring seamless user experiences on web or mobile platforms. Full Stack AI Engineers bridge the gap between data science and software development, enabling scalable and production-ready AI applications.

What are the key skills and qualifications needed to thrive as a full stack AI engineer?

To thrive as a Full Stack AI Engineer, you need strong programming skills (such as Python, JavaScript), understanding of machine learning algorithms, and experience with both front-end and back-end development, often supported by a degree in computer science or related fields. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (AWS, Azure, GCP), and containerization tools (Docker, Kubernetes) is typically required. Excellent problem-solving abilities, collaboration, and effective communication are standout soft skills in this role. These skills and qualifications enable the seamless integration of AI models into scalable applications, ensuring innovative and robust solutions.

How do full stack AI engineers typically collaborate with data scientists and front-end developers on AI-driven projects?

Full Stack AI Engineers often serve as the bridge between data scientists, who develop machine learning models, and front-end developers, who build user interfaces. They work closely with data scientists to understand the model requirements and deployment needs, and with front-end teams to ensure seamless integration of AI functionalities into applications. This collaboration requires effective communication skills and a clear understanding of both the technical and user experience aspects. Regular meetings, code reviews, and shared documentation are common practices to facilitate smooth teamwork and successful project outcomes.

What are popular job titles related to Full Stack Ai Engineer jobs in Massachusetts?

For Full Stack Ai Engineer jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Full Stack Ai Engineer jobs in Massachusetts look for?

The top searched job categories for Full Stack Ai Engineer jobs in Massachusetts are:

What cities in Massachusetts are hiring for Full Stack Ai Engineer jobs?

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Full Stack Ai Engineer jobs near you
Infographic showing various Full Stack Ai Engineer job openings in Massachusetts as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $147,186 per year, or $70.8 per hour.

(Senior) AI / ML Engineer

Prudentia Sciences

Boston, MA • On-site

$155K - $173K/yr

Full-time

Medical, Life

Re-posted 2 days ago

Job description

About Prudentia Sciences
Prudentia Sciences is an AI-powered technology platform transforming how biopharma, biotech, and life sciences investors approach portfolio management, due diligence, and value/risk simulation. Our platform accelerates investment in breakthrough therapies by:
  • Empowering biopharma to accelerate drug pipelines, maximize ROI, and achieve clinical and commercial success for greater patient impact
  • Enabling strategic positioning of asset value during portfolio planning and dealmaking
  • Equipping investors with data-driven insights to optimize capital allocation in drug asset transactions

Backed by GV (Google Ventures), Iaso Ventures, and Virtue, we're on a mission to unlock the full potential of pharmaceutical R&D by empowering decision-makers with real-time, data-driven insights.
ML/AI Engineer
We're looking for a driven, hands-on ML/AI Engineer to help us push the boundaries of what's possible in AI-driven drug development. You'll work on production-grade LLM-based systems, knowledge graphs, and machine learning pipelines-turning prototypes into powerful tools that make a real-world impact.
You'll collaborate across teams to design, build, and deploy intelligent systems that enhance how life sciences organizations make critical decisions. If you love working on technically challenging problems with direct impact in healthcare-this is the role for you.
We are open to exceptional talent that is fully remote in the U.S. but have strong preference towards someone who can come in our Boston, San Francisco or New York City office twice per week (Tues/Thurs).
What You'll Do
  • Design and Deploy LLM Systems: Develop scalable, production-ready LLM applications using frameworks like LangChain/LangGraph. Build robust RAG pipelines and integrate knowledge graphs for biological and clinical data.
  • Full-Stack AI Engineering: Write maintainable, high-performance code and build clean APIs and services for machine learning applications.
  • Data Engineering Collaboration: Work with data engineers to build and optimize data workflows and pipelines for high-quality data ingestion and processing.
  • Product-Focused Prototyping: Collaborate with product and domain teams to rapidly prototype AI solutions, iterate based on feedback, and scale models for production.
  • Model Deployment & MLOps: Use modern MLOps tools to deploy and monitor models in production environments (AWS preferred). Ensure scalability, observability, and resilience.
  • Collaborative Innovation: Partner with engineering, data, and business teams to identify and develop high-value AI/ML applications.
  • Continuous Learning: Stay ahead of the curve on emerging ML frameworks, GenAI capabilities, and healthcare technologies.

What We're Looking For
Core Qualifications:
  • Education: Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, Engineering, or a related field.
  • Hands-on AI Experience: Proven ability to build, train, and deploy ML and NLP models, especially those powered by LLMs and transformer architectures.
  • LLM & LangChain Experience: Practical experience working with frameworks like LangChain for applications such as Q&A systems, chatbots, or document automation.
  • Software Engineering: Strong coding skills in Python and experience using Git/GitHub and CI/CD practices.
  • Data Engineering Know-how: Comfort working with ETL pipelines, relational and non-relational databases, and data platforms like Snowflake or Databricks.
  • Big Data & ML Frameworks: Familiarity with Big Data tools (e.g., Apache Spark) and experience orchestrating data workflows using tools like Apache Airflow.
  • Cloud & MLOps: Experience with deploying ML models in cloud environments (AWS, GCP, or Azure) and using containerization/orchestration tools like Docker and Kubernetes.
Soft Skills:
  • Strong problem-solving skills and an analytical mindset.
  • Passion for continuous learning, rapid prototyping, and iterating based on user needs.
  • Autonomous, self-starter attitude with a strong sense of ownership.
  • Excellent communication skills-able to explain technical ideas clearly to non-technical audiences.
  • Collaborative team player with a desire to build things that truly matter.
Bonus:
  • Experience in healthcare, life sciences, or biopharma sectors (preferred but not required).

Why Join Us?
  • Make a tangible impact on drug development and patient outcomes.
  • Work with a passionate, mission-driven team tackling complex challenges.
  • Enjoy flexibility and autonomy in a remote-first culture.
  • Competitive salary, equity, and benefits.
  • Opportunity to grow with a fast-moving, well-funded startup backed by top-tier investors.

What We Offer
  • Impact: Your work directly enables breakthrough therapies to reach patients faster
  • Ownership: Build and lead the customer success function as a foundational leader
  • Growth: Shape customer experience during a critical scaling phase
  • Compensation: Competitive salary, performance bonus, and equity
  • Team: Collaborative, mission-driven colleagues passionate about transforming biopharma

Location
We are open to exceptional talent that is fully remote in the U.S. but have strong preference towards someone who can come in our Boston, San Francisco or New York City office twice per week (Tues/Thurs).
The pay range for this role is:
155,000 - 173,500 USD per year (Hybrid (Boston, Massachusetts, US))
176,000 - 195,000 USD per year (Hybrid (New York, New York, US))
185,000 - 205,000 USD per year (Hybrid (San Francisco, CA))
140,000 - 205,000 USD per year (Remote (United States))

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