> Markdown version of [/jobs/ext/3604168-ai-ml-engineer-internal-platforms](https://www.wearedevelopers.com/jobs/ext/3604168-ai-ml-engineer-internal-platforms). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# AI/ML Engineer, Internal Platforms

- **Company:** 1 Micro, LLC
- **Location:** United States (Remote available)
- **Salary:** $130,000.0 - $160,000.0
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Python (Programming Language), Machine Learning, Open Source Technology, Retrieval-Augmented Generation, Large Language Models, Multi-Agent Systems, Prompt Engineering, Model Validation, Software Application Programming, Llamaindex, Backend, Agentic-AI, Fastapi, Virtual Agents, Api Design
- **Published:** October 7, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=7adc3e9319d9321a

## About the Role

* 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.

Preferred Qualifications

 * Experience shipping AI products or AI agents to production.

 * Familiarity with RAG, tool calling, model evaluation, or prompt engineering.

 * Contributions to open-source AI projects or personal AI applications.

 * Experience working in fast-paced, AI-first environments.

## Description

Join our team to build and improve a next-generation AI recruiting agent. You'll develop new capabilities, experiment with the latest LLMs and agent frameworks, and ship production-ready AI features that make the agent smarter, more reliable, and more useful.

What You'll Do

 * 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., Our hiring process utilizes artificial intelligence tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making.