Under limited supervision, the AI Engineer is responsible for designing, developing, and deploying production-ready AI and machine learning solutions that address complex business needs. This role emphasizes end-to-end backend solution development, cloud-native architecture, and operational deployment using AWS services such as Lambda, DynamoDB, OpenSearch, Neptune, Bedrock, SageMaker, etc. The engineer partners with technical leads and business stakeholders to translate requirements into scalable, secure, and maintainable AI-enabled applications.
Essential duties and responsibilities include the following. Other duties may be assigned.
Design, develop, test, and deploy end-to-end backend solutions that support AI, machine learning, and intelligent automation use cases.
Build cloud-native and serverless applications using AWS services, including Lambda, DynamoDB, OpenSearch, Neptune, Bedrock, SageMaker, and related tools.
Develop APIs, workflow automation, and integration components that enable AI-powered functionality in production environments.
Create scalable data processing and application logic to support model inference, retrieval, search, and decision-support workflows.
Support the design and implementation of AI/ML solutions through software engineering, data engineering, and model integration practices.
Partner with data scientists, engineers, architects, and business stakeholders to define technical requirements and solution design.
Implement monitoring, logging, testing, and deployment practices to ensure reliability, performance, and maintainability of production systems.
Contribute to CI/CD pipelines, infrastructure-as-code practices, and secure software development standards.
Document architecture, technical designs, implementation details, and operational procedures.
Participate in code reviews, technical discussions, and knowledge-sharing activities to support team effectiveness and solution quality.
Education and Experience
Bachelor's degree in Computer Science, Engineering, Data Science, Information Systems, or a related field is required. Master's degree preferred.
Minimum of three years of related experience in software engineering, data science, AI engineering, or machine learning engineering is required.
Demonstrated experience building and deploying production applications in cloud environments is required.
Experience developing backend services and integrating AWS-native services is required.
Prior experience supporting AI/ML solutions or intelligent automation initiatives is preferred.
EEO Employer LanceSoft is a certified Minority Business Enterprise (MBE) and an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws. This policy applies to all employment practices within our organization, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. LanceSoft makes hiring decisions based solely on qualifications, merit, and business needs at the time.