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Artificial Intelligence Engineer
BayOne Solutions
3 hours ago
Full-time
On-site
Waltham, Massachusetts, United States
We are seeking an AI Engineer with strong backend skills to design, build and scale AI driven capabilities. The role focuses on building robust AI systems, developing the surrounding LLM harness and quality frameworks, leveraging advanced GenAI techniques, and implementing production monitoring for end-to-end delivery in a fast-paced environment. This opportunity is heavily focused on backend and GenAI work.
Responsibilities
Design, implement and optimize backend services that support AI workflows. Integrate ML and LLM models into production systems with focus on performance, reliability and scalability. Building and owning AI features end to end. Evaluating/monitoring AI systems in pre-release/production environments. Building reliable AI systems and writing production code. Experience building or maintaining backend services or microservices. Diagnose complex issues across data pipelines, model serving and backend components. This role focuses on building active APIs, microservices, and real-time serving infrastructure. It is not a Data Engineering role focused on ETL or batch processing pipelines. Collaborate with product and cross functional teams to refine requirements and translate them into clear technical plans. Contribute to system design, architecture reviews and code quality improvements. Support innovation and continuous improvement by identifying opportunities and driving technical initiatives. Requirements
4+ years of backend engineering experience in Python, Go, Java or similar. Familiarity with evaluating model performance using metrics. Proven experience building high performance or distributed systems. 4+ years of hands on experience integrating ML or LLM models into production. Strong understanding of cloud infrastructure, microservices and observability. Ability to operate effectively under ambiguity and navigate dynamic environments. Strong communication and collaboration skills. Hybrid Work Model: This role supports a flexible hybrid work model, requiring a minimum of three days per week on-site in the office, per company policy.
BayOne is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any federal, state, or local protected class. This job posting represents the general duties and requirements necessary to perform this position and is not an exhaustive statement of all responsibilities, duties, and skills required. Management reserves the right to revise or alter this job description.
Design, implement and optimize backend services that support AI workflows. Integrate ML and LLM models into production systems with focus on performance, reliability and scalability. Building and owning AI features end to end. Evaluating/monitoring AI systems in pre-release/production environments. Building reliable AI systems and writing production code. Experience building or maintaining backend services or microservices. Diagnose complex issues across data pipelines, model serving and backend components. This role focuses on building active APIs, microservices, and real-time serving infrastructure. It is not a Data Engineering role focused on ETL or batch processing pipelines. Collaborate with product and cross functional teams to refine requirements and translate them into clear technical plans. Contribute to system design, architecture reviews and code quality improvements. Support innovation and continuous improvement by identifying opportunities and driving technical initiatives. Requirements
4+ years of backend engineering experience in Python, Go, Java or similar. Familiarity with evaluating model performance using metrics. Proven experience building high performance or distributed systems. 4+ years of hands on experience integrating ML or LLM models into production. Strong understanding of cloud infrastructure, microservices and observability. Ability to operate effectively under ambiguity and navigate dynamic environments. Strong communication and collaboration skills. Hybrid Work Model: This role supports a flexible hybrid work model, requiring a minimum of three days per week on-site in the office, per company policy.
BayOne is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any federal, state, or local protected class. This job posting represents the general duties and requirements necessary to perform this position and is not an exhaustive statement of all responsibilities, duties, and skills required. Management reserves the right to revise or alter this job description.