AI Developer

TechDigital Group

Minneapolis (MN)

On-site

USD 100,000 - 130,000

Full time

14 days+

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Job summary

A leading technology firm in the United States is seeking a specialist to design and deploy autonomous AI agents. The role requires expertise in Python, experience with Large Language Models, and familiarity with cloud infrastructure. Responsibilities include implementing agent reasoning and ensuring reliability and governance of deployed solutions.

Qualifications

  • Strong software development practices.
  • Proficient in modern software methodologies.

Responsibilities

  • Design, develop, and deploy autonomous AI agents.
  • Implement agent reasoning, planning, and tool use.
  • Integrate memory systems and RAG using vector databases.
  • Ensure agent reliability, safety, and governance.
  • Collaborate with product teams for automation solutions.
  • Monitor, scale, and maintain deployed agents.

Skills

Expertise in Python
Hands-on experience with Large Language Models (LLMs)
Advanced prompt engineering
Familiarity with Docker/Kubernetes
Knowledge of AWS, Azure, or GCP

Job description

Core Responsibilities


  • Design, develop, and deploy autonomous AI agents using frameworks like LangChain or LlamaIndex.

  • Implement agent reasoning, planning, and tool use for executing real-world, multi-step workflows.

  • Integrate memory systems and RAG (Retrieval-Augmented Generation) using vector databases for context management.

  • Ensure agent reliability, safety, and governance by establishing robust guardrails and error handling.

  • Collaborate with product teams to translate complex business needs into agent-based automation solutions.

  • Monitor, scale, and maintain deployed agents as production microservices on cloud platforms.


Key Technical Skills


  • Expertise in Python and modern software development practices.

  • Hands-on experience with Large Language Models (LLMs) and advanced prompt engineering.

  • Familiarity with containerization (Docker/Kubernetes) and CI/CD pipelines.

  • Knowledge of cloud infrastructure (AWS, Azure, or GCP) for AI service deployment.

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