AI Application Engineer

InterSystems

Boston (MA)

On-site

USD 127,000 - 167,000

Full time

14 days+

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Benefits offered by this job

Medical, vision, and dental insurance

Short-term and long-term disability, and life insurance

401(k) Profit Sharing Contribution

Paid Time Off and Holidays

Parental Leave

Tuition reimbursement

Job summary

Mass Digital Health is seeking an AI Engineer in Boston, MA to design, integrate, and deploy AI solutions. The ideal candidate will have over 5 years of software engineering experience and skills in Python or C++, along with a strong understanding of cloud environments. Key responsibilities include developing AI software, evaluating AI platforms, and collaborating with cross-functional teams. The estimated base salary for this role ranges from $127,000 to $167,000 USD.

Qualifications

5+ years of experience in software engineering or platform engineering roles.
Experience in building AI/ML solutions including agentic applications and LLM inference.
Strong coding skills in Python or C++.

Responsibilities

Design, develop, and deploy AI software components and tools.
Evaluate and integrate agentic AI platforms into workflows.
Lead proofs-of-concept and prototypes.

Skills

Software engineering

Building AI/ML solutions

Python

Cloud environments (AWS, Google Cloud, Azure)

Containerization technologies

Tools

GitHub Copilot

Tabnine

Replit

Job description

AI Engineer

We are seeking an AI engineer to join our Managed Services team. You will design, integrate, and deploy AI solutions—including agentic applications, LLM inference, similarity search, guardrails, and model evaluation—to improve workflows and scalability, and to optimize the deployment, operation, and upgrade of InterSystems cloud solutions.

This role is ideal for a strong software engineer passionate about applying AI to real‑world challenges, collaborating with cross‑functional teams to build prototypes and deliver production‑ready solutions.

Key Responsibilities

Design, develop, and deploy AI software components, including agentic applications, LLM inference, foundation model training, and AI‑powered development tools.
Build AI‑driven tools to improve the deployment, operation, and upgrade of InterSystems cloud solutions.
Evaluate and integrate agentic AI platforms into coding, testing, CI/CD, and operational workflows.
Lead proofs‑of‑concept, prototypes, and internal tooling to improve cloud‑based service delivery.
Partner with cross‑functional teams to drive AI adoption and best practices.

Required Qualifications

5+ years of experience in software engineering or platform engineering roles.
Experience building AI/ML solutions—such as agentic applications, LLM inference, similarity search, vector databases, guardrails, or memory systems.
Strong coding skills in Python or other languages such as C++ or ObjectScript.
Expertise in cloud environments (e.g., AWS, Google Cloud, Azure, or private cloud) and containerization technologies.

Preferred Qualifications

Experience AI‑powered development tools (e.g., GitHub Copilot, Tabnine, Replit).
Background in DevOps, or Platform Engineering.
Hands‑on experience with automation tools such as
Contributions to open‑source AI/ML frameworks or tools are a plus

We are an equal‑opportunity employer and do not discriminate because of race, color, religion, sex, national origin, ancestry, marital status, veteran status, age, disability, sexual orientation or gender identity or expression or any other legally protected category. InterSystems is an E‑Verify Employer in the United States.

Compensation

InterSystems is providing a current good faith estimate of the anticipated base salary range for this position depending on a variety of factors including experience, education, skills, and performance.

Other compensation may include a discretionary annual variable target incentive.

The estimated base compensatation range for this role is: $127,000 – $167,000 USD

Benefits