Remote Applied AI Developer — Build Agentic AI Apps

Darwin Recruitment

United States

Remote

USD 120,000 - 160,000

Full time

2 days ago
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Job summary

Agentic AI Products is seeking an Applied AI Developer to turn LLM capabilities into reliable, useful products. This fully remote role within the US involves building agents that interact with tools and external systems, integrating LLMs and retrieval capabilities into product features, and shipping workflows with robust context management and error handling.

You will work closely with engineering and product teams to move ideas from prototype to production, continuously evaluating outputs to

Qualifications

  • Hands-on experience building agentic AI applications or products.
  • Strong software development skills in Python, TypeScript or a comparable language.
  • Practical experience with LLM APIs, tool calling and workflow orchestration.
  • Understanding of retrieval, prompt design and evaluation methods.
  • Experience deploying AI features and improving their performance using real user feedback.

Responsibilities

  • Build AI agents that use tools, interact with external systems and complete tasks on behalf of users.
  • Integrate LLMs, APIs and retrieval capabilities into product features.
  • Develop and improve agent workflows, including context management and error handling.
  • Evaluate outputs and improve accuracy, reliability, latency and cost.
  • Work closely with engineering and product teams to take ideas from prototype to production.

Skills

Python
TypeScript
LLM APIs
Tool calling
Workflow orchestration
Retrieval
Prompt design
Evaluation methods

Job description

Agentic AI Products is seeking an Applied AI Developer to turn LLM capabilities into reliable, useful products. This fully remote role within the US involves building agents that interact with tools and external systems, integrating LLMs and retrieval capabilities into product features, and shipping workflows with robust context management and error handling.

You will work closely with engineering and product teams to move ideas from prototype to production, continuously evaluating outputs to

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