Remote AI Engineer: Deploy & Scale LLMs in Production

Chimes; Baltimore (MD); A distancia; USD 83.000 - 101.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical plan

Life Insurance

Long-Term Disability

403(b) retirement plan with employer

Paid holidays + PTO

Tickets at Work

Referral bonuses and recognition

Growth opportunities

Descripción de la vacante

Chimes is seeking an AI Engineer to design, build, and deploy AI solutions in production that support mission-critical work. The role is remote within the USA, and candidates must be authorized to work in the US.

The team focuses on integrating LLMs and ML models into scalable apps and services, with emphasis on privacy and responsible AI. Ideal candidates have 3+ years in software/data/ML roles and hands-on production experience, plus Python, SQL, cloud and containers.

Formación

• 3+ years in software engineering, data engineering, machine learning, or AI.
• Hands-on experience putting models or AI services into production.
• Degrees and certifications in CS/DS or related fields are preferred, but equivalent education and experience are welcome.

Responsabilidades

• Integrate LLMs and machine-learning models into production apps, APIs, and microservices.
• Build data pipelines, vector databases, and generative AI applications using RAG and tools like LangChain or LlamaIndex.
• Fine-tune prompts and context to improve quality, reliability, and cost.
• Deploy to AWS, Azure, or Google Cloud, and monitor performance, latency, and model drift.
• Apply data-privacy and governance practices, and assess models for bias and fairness.

Conocimientos

Python

SQL

Cloud

Containers

Educación

Bachelor's degree in CS/DS or related field

Herramientas

Python

SQL

Cloud Platforms

Containers

Descripción del empleo

Chimes is seeking an AI Engineer to design, build, and deploy AI solutions in production that support mission-critical work. The role is remote within the USA, and candidates must be authorized to work in the US.

The team focuses on integrating LLMs and ML models into scalable apps and services, with emphasis on privacy and responsible AI. Ideal candidates have 3+ years in software/data/ML roles and hands-on production experience, plus Python, SQL, cloud and containers.