Remote AI/ML Engineer for Production AI Agents

Joblet-AI; Ireland; Remote; EUR 118,000 - 145,000; Full time

Benefits offered by this job

Equity compensation

Health-insurance premium reimbursement

401K with company match

Paid time off

Job summary

Joblet-AI is seeking an AI/ML Engineer for remote work to build a next-generation AI recruiting agent. You’ll prototype and ship production-ready AI features, experiment with the latest LLMs and agent frameworks, and improve reliability and usefulness of the agent.

The role emphasizes developing backend services in Python, designing prompts and workflows, and coordinating with product and engineering teams to deliver AI-powered capabilities at scale. Remote-first with international collaboration.

Qualifications

• Strong Python software engineering skills.
• Experience building applications with LLMs and AI APIs.
• Familiarity with agent frameworks such as 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 continuously 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

Strong Python

LLMs & AI APIs

Agent frameworks

APIs with FastAPI

Cloud platforms

Problem-solving

Communication

Tools

LangChain

LangGraph

LlamaIndex

FastAPI

AWS

GCP

Azure

Job description

Joblet-AI is seeking an AI/ML Engineer for remote work to build a next-generation AI recruiting agent. You’ll prototype and ship production-ready AI features, experiment with the latest LLMs and agent frameworks, and improve reliability and usefulness of the agent.

The role emphasizes developing backend services in Python, designing prompts and workflows, and coordinating with product and engineering teams to deliver AI-powered capabilities at scale. Remote-first with international collaboration.