AI Engineer (II/Senior)

ArrePath; United States; Remote; USD 130,000 - 170,000; Full time

Job summary

ArrePath is seeking a second engineer to build and extend an AI assistant that supports scientists in computational chemistry, literature review, and data analysis. You will collaborate with the technical lead to take requests from design through validation and production release, ensuring robust memory, context handling, and task orchestration.

You will improve long-running task planning, tool selection, and recovery for external services, while enabling delegation to specialized agents.

Qualifications

• Practical experience building LLM agent systems, including tool use, memory, planning, delegation, and evaluation.
• Substantial experience using coding agents on a real codebase, with the judgment to review output and break work into manageable tasks.
• At least two years of professional Python or TypeScript experience.
• Clear written communication for specifications, reviews, and instructions.
• Ability to become productive quickly in a large existing codebase.

Responsibilities

• Improve how the assistant remembers information across sessions and finds relevant context.
• Help it track files, results, and other artifacts across extended research projects.
• Strengthen planning for long, multi-step scientific tasks and keep work on course.
• Improve tool selection, execution, and recovery when external services or workflows fail.
• Develop delegation to specialist agents and ways to combine their results.
• Enhance the TypeScript chat interface and deliver end-to-end changes using coding agents.

Skills

LLM agent systems

Coding agents

Python

TypeScript

Clear communication

Tools

MCP servers

Retrieval systems

Search systems

ML model training

Job description

Role overview

Build and extend an AI assistant that helps scientists carry out computational chemistry, literature research, and internal data analysis through conversation. As the second engineer on the product, you will work closely with its technical lead and scientific users, taking requests from design through implementation, validation, and production release.

Responsibilities

• Improve how the assistant remembers information across sessions and finds relevant context.
• Help it track files, results, and other artifacts across extended research projects.
• Strengthen planning for long, multi-step scientific tasks and keep work on course.
• Improve tool selection, execution, and recovery when external services or workflows fail.
• Develop delegation to specialist agents and ways to combine their results.
• Enhance the TypeScript chat interface and deliver end-to-end changes using coding agents.

Requirements

• Practical experience building LLM agent systems, including tool use, memory, planning, delegation, and evaluation.
• Substantial experience using coding agents on a real codebase, with the judgment to review their output and break work into manageable tasks.
• At least two years of professional Python or TypeScript experience.
• Clear written communication for specifications, reviews, and instructions.
• Ability to become productive quickly in a large existing codebase.

Nice to have

• Background in chemistry, biology, or another scientific field.
• Experience with MCP servers, retrieval or search systems, or training machine-learning models.
• Experience working at an early-stage startup.

Benefits and work setup

Full-time, salaried employment with benefits; compensation is $130,000-$170,000 per year depending on qualifications, plus equity, health, dental, and vision insurance, and a 401(k). The role is fully remote within the United States.

Applicants must already be authorized to work in the U.S. without current or future visa sponsorship.