AI Engineer
Job in
Boston, Suffolk County, Massachusetts, 02298, USA
Listed on 2026-07-20
Listing for:
Jobtailor
Full Time
position Listed on 2026-07-20
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Machine Learning/ ML Engineer
Job Description & How to Apply Below
Responsibilities
- Support the design, development, and deployment of AI and ML solutions for the Long-Term Care program
- Work with Data Scientists and AI Engineers to help build and maintain ML and GenAI pipelines (data preparation, feature engineering, model training, and evaluation)
- Assist in deploying models into production environments using modern engineering practices
- Help monitor model performance, including accuracy, drift, and reliability, and support troubleshooting and improvements
- Contribute to both traditional ML use cases (predictive models, classification, forecasting) and GenAI use cases (summarization, document processing, RAG, automation)
- Develop and maintain APIs and services that integrate AI solutions into business workflows
- Follow established MLOps and LLMOps practices, including version control, testing, and documentation
- Support building observability tools such as logging, dashboards, and alerts
- Collaborate with cross-functional teams including engineering, data, business, and governance teams
- Ensure solutions follow enterprise standards for security, compliance, and responsible AI
- Continuously learn and apply new tools, frameworks, and best practices in AI, ML, and software engineering
- Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related field
- Strong programming skills in Python
- Foundational understanding of machine learning concepts (supervised/unsupervised learning, model evaluation, feature engineering)
- Basic experience with ML or AI projects, either through coursework, internships, or personal projects
- Exposure to GenAI or LLMs (e.g., prompt engineering, APIs, embeddings, or RAG concepts)
- Basic understanding of cloud platforms (preferably Azure) and modern development tools
- Familiarity with version control (Git) and basic software engineering practices
- Basic knowledge of data processing using SQL or data tools
- Strong problem-solving skills and willingness to learn
- Good communication skills and ability to work in a team environment
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