Remote AI/ML Engineer for Production Agents

Zekai; United States; Remote; USD 130,000 - 160,000; Full time

Benefits offered by this job

Equity compensation

Performance-based bonuses

Health insurance reimbursement

401(k) plan with company match

Remote-first workforce

Job summary

Zekai is seeking an AI/ML Engineer for Internal Platforms to build and improve a next-generation AI recruiting agent. This remote role involves developing production-ready AI features, experimenting with LLMs, and collaborating with product and engineering teams to deliver AI-powered capabilities.

You will design prompts, workflows, and orchestration, while deploying scalable AI systems and staying current with the latest AI tools and practices.

Qualifications

• Strong Python software engineering skills.
• Experience building applications with LLMs and AI APIs.
• Familiarity with LangChain, LangGraph, or LlamaIndex.
• Experience building APIs with FastAPI or similar frameworks.
• Experience with cloud platforms (AWS, GCP, or Azure).
• Strong problem-solving skills and an experimental mindset.
• Excellent communication and collaboration skills.

Responsibilities

• Build and improve AI agent capabilities using modern LLMs.
• Develop backend services and APIs in Python.
• Design and iterate on prompts, workflows, RAG, and agent orchestration.
• Evaluate model performance and improve quality through experimentation.
• Collaborate with product and engineering teams to deliver AI-powered features.
• Deploy and maintain scalable AI systems in production.
• Stay current with the latest AI models, tools, and best practices.

Skills

Python

LLMs & AI APIs

Agent frameworks

APIs (FastAPI)

Cloud platforms

Job description

Zekai is seeking an AI/ML Engineer for Internal Platforms to build and improve a next-generation AI recruiting agent. This remote role involves developing production-ready AI features, experimenting with LLMs, and collaborating with product and engineering teams to deliver AI-powered capabilities.

You will design prompts, workflows, and orchestration, while deploying scalable AI systems and staying current with the latest AI tools and practices.