Agentic AI Engineer

Atlanta, GA, US • Posted 11 hours ago • Updated 4 hours ago
Full Time
On-site
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Job Details

Skills

  • Generative Artificial Intelligence (AI)
  • Privacy
  • Project Planning
  • Customer Facing
  • Computer Science
  • Orchestration
  • Evaluation
  • Python
  • Django
  • Application Development
  • Training
  • Machine Learning (ML)
  • Data Processing
  • Apache Spark
  • Workflow
  • Artificial Intelligence
  • Collaboration
  • DICE

Summary

Location: United States Experience: Previous internship experience in AI, machine learning, or related fields Job Type: Permanent

### Top Skills & Technologies Generative AI | Agentic AI | Python | RAG | FastAPI | Django | Spark

### Job Summary Thinking Minds' client is seeking an AI Engineer to build scalable backend systems and production applications powered by Generative AI and Agentic AI. This backend-heavy role partners with product managers, machine learning engineers, and software engineers to deliver reliable customer experiences. You will help shape agent architecture, asynchronous processing pipelines, and distributed systems while developing a strong technical foundation through meaningful engineering work.

### Ideal Candidate Should Have
A passion for building, owning, and scaling features end to end, with a practical approach to overcoming technical challenges.

Strong customer-centric thinking, curiosity, and comfort experimenting in a fast-moving engineering environment.

An interest in using AI and machine learning technologies to create measurable business impact.

A responsible approach to AI development, including privacy, security, bias awareness, and human-in-the-loop oversight.

### Key Responsibilities
Design and build scalable backend systems and reliable services that serve AI models in production.

Evolve agentic architecture to improve agent autonomy, performance, and reliability.

Build orchestration, retrieval, evaluation, and safety guardrails into production AI applications.

Create human and automated evaluations to assess model quality and guide improvements.

Collaborate with internal stakeholders to understand requirements, resolve blockers, identify dependencies, and support project planning.

Explore emerging AI technologies and apply relevant advances to customer-facing capabilities.

### Required Qualifications
Pursuing an advanced degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, with graduation aligned to the stated upcoming graduate intake.

Previous internship experience in AI, machine learning, or related fields.

Hands-on experience building and deploying generative and agentic AI applications into production.

Practical knowledge of agentic orchestration, evaluation, retrieval-augmented generation (RAG), and safety mechanisms.

Proficiency in Python and modern backend frameworks, plus experience creating human and automated evaluations.

### Preferred Qualifications
Familiarity with FastAPI or Django for backend application development.

Experience training machine learning models and deploying them into business-facing production systems.

Exposure to reinforcement learning and large-scale data processing using Spark.

Experience building large-scale backend systems and distributed processing workflows.

Thinking Minds' client offers meaningful production AI projects, cross-functional collaboration, opportunities to influence architecture, and support for continued technical learning.

#Dice
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10109241
  • Position Id: 86716
  • Posted 11 hours ago

Company Info

About Thinking Minds Inc.

At Thinking Minds, we are committed to providing our clients with the highest quality services. We believe that our success is measured by the success of our clients, and we strive to build long-term relationships based on trust, transparency, and mutual respect.

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