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AI/ML Engineer, Internal Platforms
Join micro1 to build and improve a next-generation AI recruiting agent. You will develop new AI 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.
Salary
USD130,000 - USD160,000 / year
Department
AI Research & Evaluation
Experience
Experience building applications with LLMs and AI APIs, agent frameworks, FastAPI or similar APIs, and cloud platforms. Experience shipping AI products or agents to production is preferred.
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Role fit snapshot
- Engagement
- Full-time remote | micro1 application platform
- Experience
- Recorded experience: Experience building applications with LLMs and AI APIs, agent frameworks, FastAPI or similar APIs, and cloud platforms. Experience shipping AI products or agents to production is preferred.
- Core expertise
- AI Research & Evaluation | LLMs | LangChain | FastAPI
- Named tools
- Python | AWS | GCP
- Geographic eligibility
- Not specified beyond Remote
- Listing dates
- Posted 2026-10-06 | Valid through 2026-11-05
- Compensation
- Recorded compensation: $130,000-$160,000/year
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
PythonLLMsAWSLangChainFastAPILangGraphLlamaIndexRAGAI APIsPrompt engineeringModel evaluationAgent orchestration
Requirements
- 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 such as AWS, GCP, or Azure.
- Strong problem-solving skills and an experimental mindset.
- Excellent communication and collaboration skills.
Benefits
- Equity compensation.
- Performance-based bonuses may be available.
- Up to 100% reimbursement for health-insurance premiums.
- Paid time off.
- 401(k) plan with company match.
- Additional benefits supporting a remote-first workforce.
Before you apply
- Confirm that your location is eligible for the role.
- Confirm the employment or contract type.
- Verify the current compensation at the official source.
- Review the required skills and experience.
- Check that the listing is still open before applying.
- Never pay a fee to submit a job application.