Staff AI Systems Engineer – Enterprise Agents

Jobtailor; California (MO); On-site; USD 180,000 - 240,000; Full time

Job summary

Jobtailor is seeking an experienced AI platform engineer to design and deploy agentic systems for enterprise AI products. You will customize foundation models for customer domains using tuning, RAG, and related techniques, and build scalable, production-grade software for live workloads.

You will deploy capabilities alongside customers, partnering with cross-functional teams, troubleshoot issues, and turn feedback into product improvements.

Qualifications

• 8+ years building and shipping AI products, including production systems.
• Bachelor's degree in a technical field, or equivalent combination of education, training, and experience.
• Production-quality software engineering in Python and another modern language such as Go, TypeScript, or Rust.
• Track record of taking systems from zero to production.
• Experience taking AI capabilities from prototype to production, including agentic workflows, RAG, or model customization.
• Hands-on experience deploying and operating services on AWS, Azure, or GCP.
• Experience with containers and orchestration such as Docker, Kubernetes, or Helm.
• Experience building LLM-powered and agentic applications using model APIs such as OpenAI, Anthropic, or Amazon Bedrock.
• Experience with agent frameworks such as LangGraph or LlamaIndex.
• Experience with retrieval-augmented generation (RAG).
• Ability to work with high autonomy and ambiguity while maintaining rigor.
• Clear communication skills and comfort working with enterprise customers and cross-functional teams.

Responsibilities

• Design and deploy agentic systems, infrastructure, and workflows for enterprise AI products.
• Customize foundation models to customer domains using tuning, RAG, and related techniques.
• Build scalable, reliable software systems for production enterprise workloads.
• Deploy capabilities alongside customers and partner with cross-functional and customer teams.
• Improve capabilities, troubleshoot technical issues, and turn customer feedback into product improvements.
• Ship agents that run regulated back-office processes using systems of record, policies, risk classifications, and human approval steps.
• Build domain-specialization layers for foundation models and validate them on real customer cases.
• Design orchestration, tool integration, memory, and context infrastructure for reliable agent operation.
• Establish evaluation and guardrail harnesses for production readiness.
• Instrument governance and observability so agent decisions are auditable and policy-aligned.
• Reduce latency and cost of enterprise-scale agentic workflows without sacrificing reliability.

Skills

AI product development

Production-quality software

Clear communication

Autonomy

Problem solving

Education

Bachelor's degree in a technical field

Tools

AWS

Azure

GCP

Docker

Kubernetes

Helm

LangGraph

LlamaIndex

OpenAI

Amazon Bedrock

Job description

Jobtailor is seeking an experienced AI platform engineer to design and deploy agentic systems for enterprise AI products. You will customize foundation models for customer domains using tuning, RAG, and related techniques, and build scalable, production-grade software for live workloads.

You will deploy capabilities alongside customers, partnering with cross-functional teams, troubleshoot issues, and turn feedback into product improvements.