Senior AI Platform Engineer

Eames Consulting Group; United States; On-site; USD 140,000 - 210,000; Full time

Job summary

Eames Consulting Group seeks a Senior AI Platform Engineer to drive AI initiatives from prototype to production within a technology‑driven insurance/insurtech space. You will collaborate with engineering, platform architecture, DevOps, and compliance to translate AI strategy into scalable, reliable production solutions.

Responsibilities include building AI agents, designing reusable components, and integrating LLMs into workflows with emphasis on RAG pipelines, observability, and cost tracking.

Qualifications

• 6–8+ years of software engineering experience.
• Hands-on with implementing AI solutions in production.
• Experience integrating LLMs into applications or platforms.
• Strong prompt engineering and AI evaluation skills.
• Experience building AI agents or workflows.
• Experience with vector databases and API orchestration.
• Experience designing and implementing RAG solutions.
• Strong systems-thinking and cross-functional collaboration.

Responsibilities

• Build and deploy production‑grade AI agents and AI‑powered services.
• Design reusable AI components, workflows, and reference implementations.
• Prototype new AI use cases and take concepts into production.
• Integrate LLMs into production applications and workflows.
• Design and implement Retrieval‑Augmented Generation (RAG) pipelines.
• Build AI workflows and agent‑based solutions using orchestration platforms.
• Develop prompt management, versioning, and evaluation capabilities.
• Improve reliability, observability, and performance of AI applications.
• Establish monitoring and cost‑tracking practices for AI systems.
• Work with development teams to support AI‑driven initiatives.
• Partner with DevOps on AI workflow environments.
• Collaborate with architecture and compliance to establish scalable AI patterns.

Skills

AI platform engineering

Production AI systems

LLMs integration

Prompt engineering

Agents/workflows

RAG pipelines

Vector databases

APIs

Observability

Cost tracking

Cross-functional collaboration

Architecture hands-on

Job description

I’m currently partnering with a growing, technology‑driven organization within the insurance/insurtech space that is looking to hire a Senior AI Platform Engineer.

This is a hands‑on engineering role for someone who enjoys taking AI concepts from prototype through production and building the infrastructure, workflows, and reusable components that enable engineering teams to leverage AI effectively across an organization.

You’ll work closely with engineering teams, platform architecture, DevOps, and compliance to help translate AI strategy into scalable, reliable production solutions.

What you’ll be working on:

• Build and deploy production‑grade AI agents and AI‑powered services
• Design reusable AI components, workflows, and reference implementations that can be leveraged across teams
• Prototype new AI use cases and take successful concepts into production
• Integrate LLMs into production applications and workflows
• Design and implement Retrieval‑Augmented Generation (RAG) pipelines
• Build AI workflows and agent‑based solutions using orchestration platforms
• Develop prompt management, versioning, and evaluation capabilities
• Improve the reliability, observability, and performance of AI applications
• Establish monitoring and cost‑tracking practices for AI systems
• Work with development teams to support AI‑driven engineering initiatives
• Partner with DevOps on AI workflow environments and platform capabilities
• Collaborate with architecture and compliance teams to establish scalable AI patterns and standards
• Help evolve AI platform practices through hands‑on implementation and feedback

What they’re looking for:

• 6–8+ years of software engineering experience
• Strong hands‑on experience implementing AI solutions in production environments
• Experience integrating LLMs into applications or platforms
• Strong understanding of prompt engineering and AI evaluation
• Experience building AI agents, AI workflows, or agentic systems
• Experience working with vector databases and API orchestration
• Experience designing and implementing RAG solutions
• Strong software engineering and systems‑thinking skills
• Comfortable working cross‑functionally and supporting other engineering teams
• Someone who enjoys moving between architecture, hands‑on development, and production implementation

Open to US Citizens and Green Card Holders ONLY