AI Engineer

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 | Data, AI & Automation | Remote Position

Ready to move AI out of the demo and into production? We're looking for an AI Engineer to design, build, and deploy solutions that support mission-critical work.

Location:

This role is remote within the USA. You must be legally authorized to work in the US. Chimes does not provide visa sponsorship. Individuals participating in the AbilityOne Program are encouraged to apply. AbilityOne participation is not required. Chimes will ensure individuals with disabilities receive reasonable accommodation to participate in the job application or interview process, perform essential job functions, and receive other benefits and privileges of employment.

What you'll do

• 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

What you bring

• 3 years in software engineering, data engineering, machine learning, or AI
• Hands-on experience putting models or AI services into production
• Python, SQL, cloud, and containers are a plus
• Clear communication and sound judgment, especially when explaining what AI can and can't do

Degrees and certifications in computer science, data science, or related fields are preferred, but equivalent education and experience are welcome.

Compensation:

• Tier 1 (Los Angeles, CA): $69.63 - $85.11 per hour
• Tier 2 (Washington, DC and Northern Virginia): $67.04 - $81.94 per hour
• Tier 3 (Baltimore, MD): $60.10 - $73.46 per hour
• Tier 4 (New Castle, DE and Dallas, TX): $57.56 - $70.36 per hour
• Tier 5 (Orlando, FL): $56.09 - $68.55 per hour

Why You'll Love Working Here:

• Medical plan starting at $13.80/mo. The $6.90 is per pay period for the Minimum Value Health Plan.
• Employer-paid Life Insurance AD&D
• Employer-provided Long-Term Disability coverage for financial protection
• 403(b) retirement plan with employer match
• 10 paid holidays generous PTO
• Tickets at Work
• Employee referral bonuses and recognition programs
• Clear pathways for growth and advancement