AI engineer

Syntheia; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Syntheia is seeking an experienced AI Engineer to build reliable AI capabilities for production, from prototypes to deployment. You will work on retrieval-augmented generation, tool-using agents, and model fine-tuning to support real product use.

Collaborate with product and engineering to identify use cases, set up monitoring, cost controls, and safeguards. You will evaluate model outputs for accuracy, safety, and usefulness, and help establish trusted AI systems.

Qualifications

• Ability to design and build AI systems for real-world product use.
• Experience with retrieval-augmented generation, agents, or model fine-tuning.
• Ability to evaluate model outputs for accuracy, safety, and usefulness.
• Ability to collaborate with product and engineering partners.
• Familiarity with production monitoring, cost management, and guardrails for AI systems.

Responsibilities

• Develop retrieval pipelines and agent workflows for product applications.
• Fine-tune models where that supports the needs of a product.
• Create evaluation suites to measure quality and safety before releases.
• Work with product and engineering teams to identify appropriate uses for AI.
• Set up production monitoring, cost controls, and model safeguards.

Skills

AI system design

Retrieval-augmented generation

Model fine-tuning

Product collaboration

Production monitoring

Job description

Role overview

Build AI capabilities that are reliable enough for production use, from early prototypes through deployment. The work spans retrieval-augmented generation, tool-using agents, model fine-tuning, and ways to assess whether a feature is accurate, safe, and useful.

Responsibilities

• Develop retrieval pipelines and agent workflows for product applications.
• Fine-tune models where that supports the needs of a product.
• Create evaluation suites to measure quality and safety before releases.
• Work with product and engineering teams to identify appropriate uses for AI.
• Set up production monitoring, cost controls, and model safeguards.

Requirements

• Ability to design and build AI systems for real-world product use.
• Experience with retrieval-augmented generation, agents, or model fine-tuning.
• Ability to evaluate model outputs for accuracy, safety, and usefulness.
• Ability to collaborate with product and engineering partners.
• Familiarity with production monitoring, cost management, and guardrails for AI systems.