Intelligent Automation/AI-ML Engineer (Full Stack Engineer

The Intelligent Application / AI-ML Engineer is the architect and guardian of intelligent application solutions that incorporate AI/ML technologies using tools such as open source AI models. This role ensures the operational efficiency and continuous refinement of integrated AI/ML solutions across the organization. Responsibilities span the design, maintenance, and optimization of intelligent applications, including troubleshooting and resolving issues that arise after implementation., Solution Design and Development

• Design, build, and deploy intelligent application solutions that integrate AI/ML models with business workflows using modern development frameworks and open source AI models.
• Develop repeatable, reusable components and services for document processing, data extraction, classification, and data cleansing.

• Translate business requirements into technical designs, solution architectures, and documented standards.

• Build end-to-end applications as a full stack engineer, including front-end user interfaces, backend servers and APIs, AI/ML models, databases, and business rules.
• Develop and expose AI capabilities and tools through Model Context Protocol (MCP) servers so applications can use them in a consistent, reusable way.
• Implement business rules and decision logic that work alongside AI models, with clear governance, testing, and auditability.

AI/ML Operations and Optimization

• Manage the lifecycle of open source AI models, including deployment, versioning, monitoring, retraining, and retirement.
• Monitor model performance, accuracy, and drift, and tune solutions to maintain operational efficiency over time.
• Implement feedback loops (e.g., human-in-the-loop validation) to drive continuous learning and refinement.
• Optimize application performance, scalability, and resource utilization.

Support and Troubleshooting

• Troubleshoot and resolve post-implementation issues in open source AI models, ML pipelines, and integrated applications.
• Perform root cause analysis on production incidents and implement lasting fixes.
• Maintain runbooks, support documentation, and knowledge base articles.
• Partner with infrastructure, security, and platform teams to maintain a stable and compliant environment.

• Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or a related field (or equivalent experience).
• Experience in intelligent application development, with hands-on experience building enterprise applications.
• Working experience with open source AI models and document understanding techniques, or comparable AI/ML frameworks and tools.
• Proficiency in Python and common ML libraries (e.g., scikit-learn, pandas, TensorFlow or PyTorch).
• Understanding of the ML lifecycle: data preparation, training, evaluation, deployment, monitoring, and retraining.
• Experience building document processing and data cleansing solutions.
• Strong troubleshooting and problem-solving skills in production environments.
• Solid knowledge of APIs, integrations, SQL, and data formats (JSON, XML, CSV).

• Excellent written and verbal communication skills.

• Full stack development experience: proficiency in Python and Java for backend services and APIs, and Angular for front-end user interfaces.
• Hands-on experience with Model Context Protocol (MCP), including building or integrating MCP servers and tools.
• Experience designing and working with relational and/or NoSQL databases, including schema design and query optimization.

Preferred Qualifications

• Cloud, AI/ML, or software development certifications (e.g., advanced developer or solution architect credentials).
• Experience with OCR, NLP, computer vision, or generative AI/LLM integration.
• Familiarity with cloud platforms (Azure, AWS, or GCP) and MLOps practices.
• Knowledge of Agile delivery, CI/CD, and source control (e.g., Git).
• Understanding of data governance, security, and responsible AI practices.

• Medical
• Dental
• Vision
• Basic Life
• Health Saving Account
• 401K Matching
• Three weeks of PTO/Sick
• 11 Paid Holidays
• Pre-Approved Online Training