AI Engineer

Description:
Hybrid Onsite 5 days/week, alternating weeks in either Boston, MA, Providence, RI, or Manchester, NH


Our client seeks an experienced AI engineer to prototype and deploy solutions that demonstrate tangible business value. You will build Python-based APIs, integrate large language models, and connect backend services to user-facing applications. The role requires strong CI/CD, containerization, and cloud skills to support rapid pilots at scale. You will operate in a high-velocity environment, scouting emerging AI technologies and evolving internal AI infrastructure.

Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance.


Rate: $65.00 to $75.00/hr. w2

Responsibilities:

• Rapidly build AI proofs of concept and deploy them at scale to prove value.
• Design and implement end-to-end integrations connecting backend AI services to web or mobile frontends.
• Develop and maintain RESTful APIs and data services supporting AI use cases.
• Evolve and support internal AI infrastructure, including containerization, orchestration, and cloud components.
• Scout, evaluate, and experiment with emerging AI frameworks, LLMs, and tooling to identify high-value opportunities.
• Collaborate with cross-functional teams to align solutions with business needs and deliver outcomes.
• Resolve technical roadblocks, mitigate risks, and maintain project velocity.
• Mentor teammates on data and AI technologies and foster continuous learning.

Experience Requirements:

• 5+ years of relevant software engineering experience or relevant graduate studies.
• Proficiency in Python for API and AI development.
• Familiarity with Java or Node.js.
• Experience with modern frontend frameworks such as Angular, React, or TypeScript (preferred).
• Strong experience with REST API development and database management using PostgreSQL or Oracle.
• Hands-on experience with CI/CD, containerization, Kubernetes, and cloud platforms.
• Experience applying LLMs for information retrieval and data science problems.
• Familiarity with multi-agent systems, tool calling, and workflow orchestration such as LangChain or LlamaIndex.
• Proven ability to deliver end-to-end integrations from backend services to user interfaces.
• Strong technical design and analysis skills and ability to operate in a fast-paced environment with ambiguity.
• Effective written and verbal communication and collaboration skills.
• Demonstrated ability to rapidly learn new concepts and libraries.
• Ability to adapt to changing business priorities and technology advancements.

Education Requirements:

• Bachelor's degree in computer science, engineering, physics, or a related field, or relevant graduate studies.