AI/ML Engineer, Internal Platforms
micro1 is hiring an AI/ML Engineer, Internal Platforms for a remote role. Level rates it ; you can apply on Level.
Level's read on this job
- On Level's scale, this machine learning engineer role is Builds AI ●●●●: the job is building AI systems.
- The posting lists this role as remote.
- Tools and skills the posting cites include LangChain, LlamaIndex and LangGraph.
- Level lists 119 other open roles at micro1.
AI in this role
Job Title: AI/ML Engineer, Internal Platforms
Job Type: Full-time
Location: Remote
The Role
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.
What We're Looking For
- 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.
Compensation & Benefits Notice
The national pay range for this full-time position is base salary of $130,000 –$160,000 USD. All employees are eligible for equity compensation, and employees may also receive performance-based bonuses, dependent on role and subject to company policies. micro1 provides a comprehensive benefits package, including up to 100% reimbursement for health-insurance premiums, paid time off, a 401(K) plan with a company match, and additional benefits designed to support a high-performing, remote-first workforce.
micro1 is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation during the application process, reach out to support@micro1.ai.
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.
Disclaimer
The information contained in this job posting, including but not limited to role responsibilities, qualifications, compensation, and benefits, is provided for informational purposes only and does not constitute a binding offer of employment. micro1 reserves the right to amend, modify, or withdraw any portion of this posting at its sole discretion and without prior notice. All employment decisions are made in accordance with applicable laws and regulations.
How we rate this
AI/ML Engineer, Internal Platforms at micro1 rates 92 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in machine learning engineer jobs at this level
Pay
- Typical machine learning engineer job
- $199k
Use the typical machine learning engineer figure as a reference when pay comes up. See machine learning engineer jobs
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How would you design a retrieval step so the model answers from real data instead of guessing?
- How do you decide when an AI agent can act on its own versus asking for approval first?
- How do you decide that one model's output is better than another's for a given task?
- Walk me through how you've used LangChain in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Prompt engineering, RAG, AI agents, AI Evaluation, and LangChain. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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