Remote AI Engineer: Production ML & LLM Systems

Chimes District of Columbia.; Baltimore (MD); Remote; USD 83,000 - 101,000; Full time

Benefits offered by this job

Medical plan

Life Insurance

Long-Term Disability

401(k) match

Paid holidays

Tickets at Work

Referral bonuses

Career growth

Job summary

Chimes is seeking an AI Engineer to design, build, and deploy AI solutions supporting mission-critical work. The role is remote within the USA, with compensation tiers by tiered geographies across the region.

You will integrate LLMs, build data pipelines, and monitor model performance in production. Requirements include ~3 years in software/ML, hands-on production experience, and Python/SQL with cloud and container familiarity.

Qualifications

• 3 years in software engineering, data engineering, machine learning, or AI.
• Hands-on experience putting models or AI services into production.
• Degree-related qualifications preferred, but equivalent education and experience welcome.

Responsibilities

• Integrate LLMs and ML models into production apps, APIs, and microservices.
• Build data pipelines, vector databases, and generative AI apps 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.

Skills

3 years experience

Production ML/AI

Python

SQL

Cloud & Containers

Education

CS/Data Science related degree preferred

Job description

Chimes is seeking an AI Engineer to design, build, and deploy AI solutions supporting mission-critical work. The role is remote within the USA, with compensation tiers by tiered geographies across the region.

You will integrate LLMs, build data pipelines, and monitor model performance in production. Requirements include ~3 years in software/ML, hands-on production experience, and Python/SQL with cloud and container familiarity.