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Intern Ai Agent Developer Jobs in Powder Springs, GA

Fullstory

Senior Data Pipeline & AI Engineer

Atlanta, GA · On-site

$160 - $170/hr

As our Senior Data Engineer, you will report to the Senior Engineering Manager for the Fullstory ... You have helped shape the AI agent platform's technical direction, from eval frameworks to MCP ...

Home Depot

Senior AI Engineer (Remote)

Atlanta, GA · On-site +1

$99K - $136K/yr

You will build the core orchestration layers for multi-agent workflows, tool integration, and ... Works with Product Team to ensure user stories that are developer-ready, easy to understand, and ...

Pwc

AI Engineer

Atlanta, GA · On-site

$50K - $112K/yr

... agent workflows using frameworks such as LangGraph to automate multi-step reasoning, integrate tools and APIs, and deliver scalable, context-aware solutions - Applying generative AI techniques ...

Finastra

Senior AI Engineer

Atlanta, GA · On-site

$140 - $200/hr

Develop key AI architecture patterns (RAG, text-to-sql, multi-agent, etc)Create end-to-end production grade AI agents and integrate them into applicationsApply prompt engineering and context ...

Kion Group AG

Senior AI Data Engineer

Atlanta, GA · On-site

$121K - $151K/yr

... and agent-driven platform capabilities. This is a hands-on senior role requiring deep expertise in cloud data engineering, AI-enabled data platforms, agentic AI architectures, semantic modeling ...

Kiongroup

Senior AI Data Engineer

Atlanta, GA

$121K - $151K/yr

... and agent-driven platform capabilities. This is a hands-on senior role requiring deep expertise in cloud data engineering, AI-enabled data platforms, agentic AI architectures, semantic modeling ...

Monitise

Senior AI Solutions Engineer

Marietta, GA · On-site

$128K - $216K/yr

Job Title Senior AI Solutions Engineer About the role As a Senior AI Solutions Engineer, you will ... Design multi-step agent architectures: tool use, retrieval (RAG), memory, orchestration across ...

Kiongroup

Senior AI Data Engineer

Atlanta, GA

$121K - $151K/yr

... and agent-driven platform capabilities. This is a hands-on senior role requiring deep expertise in cloud data engineering, AI-enabled data platforms, agentic AI architectures, semantic modeling ...

Autodesk

Principal AI Software Developer

Atlanta, GA · On-site

Experience with AI Agent tools & frameworks Experience building and integrating MCP tools Experience building Agentic experiences and AI Automation Strong backend engineering experience building and ...

Finastra

Senior AI Engineer

Atlanta, GA · On-site

$100K - $138K/yr

Develop key AI architecture patterns (RAG, text-to-sql, multi-agent, etc) * Create end-to-end production grade AI agents and integrate them into applications * Apply prompt engineering and context ...

ASCENSUS

Agentic AI Delivery Leader

Atlanta, GA · Hybrid

This role partners with executive business leaders, product and engineering teams, data/AI practitioners, and risk/compliance to design and deliver reliable, secure, and scalable AI agent solutions ...

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Showing results 41-60

All JobsIntern Ai Agent Developer JobsIntern Ai Agent Developer Jobs in Powder Springs, GA

Intern Ai Agent Developer information

What does an Intern AI Agent Developer do?

An Intern AI Agent Developer assists in designing, developing, and testing artificial intelligence agents, which are software programs capable of performing tasks that typically require human intelligence. Their responsibilities may include writing code, training machine learning models, analyzing data, and supporting senior developers in research or project work. Interns in this role gain hands-on experience with AI frameworks and tools while learning best practices in software engineering and artificial intelligence development.

What types of projects and tasks can an Intern AI Agent Developer expect to work on during their internship?

As an Intern AI Agent Developer, you will typically collaborate with experienced engineers and data scientists to design, develop, and test components of AI-driven systems. Your daily tasks may include writing and debugging code, assisting in training machine learning models, and running experiments to evaluate agent performance. Interns often contribute to documentation, participate in code reviews, and may even help implement features under supervision. This role provides a hands-on learning environment where you can develop both technical and teamwork skills, while gaining exposure to the latest AI development tools and practices.

What are the key skills and qualifications needed to thrive as an Intern AI Agent Developer?

To thrive as an Intern AI Agent Developer, you need a solid understanding of programming languages like Python, basic knowledge of machine learning concepts, and enrollment in or completion of a relevant degree such as computer science. Familiarity with tools and frameworks such as TensorFlow, PyTorch, Git, and cloud platforms is typically expected. Curiosity, strong problem-solving skills, and the ability to collaborate within a team help you stand out. These skills are crucial for successfully contributing to AI projects, learning quickly in a dynamic field, and effectively supporting development teams.

What is the difference between Intern Ai Agent Developer vs Intern Machine Learning Engineer?

AspectIntern Ai Agent DeveloperIntern Machine Learning Engineer
Required CredentialsRelevant coursework, basic programming skills, familiarity with AI toolsRelevant coursework, programming skills, understanding of ML algorithms
Work EnvironmentTech companies, AI startups, research labsTech companies, research institutions, AI startups
Employer & Industry UsageAI development teams, chatbot and virtual assistant projectsData science teams, predictive modeling projects

Intern Ai Agent Developers focus on building and improving AI agents like chatbots and virtual assistants, often requiring knowledge of AI frameworks. Intern Machine Learning Engineers work on developing ML models for various applications, emphasizing data handling and algorithm implementation. Both roles are common in tech and AI industries, but they differ in specific focus areas and skill sets.

What cities near Powder Springs, GA are hiring for Intern Ai Agent Developer jobs?

Cities near Powder Springs, GA with the most Intern Ai Agent Developer job openings:

Intern Ai Agent Developer jobs near you
Infographic showing various Intern Ai Agent Developer job openings in Powder Springs, GA as of June 2026, with employment types broken down into 25% Internship, 50% Full Time, and 25% Part Time. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution.

Data Scientist with Python AI/ML

Accord Technologies Inc.

Atlanta, GA • On-site

Contractor

Re-posted 10 days ago

Job description

Title : Data Scientist with Python AI/ML
Location: Atlanta, GA (Inperson interview needed)
Position type: W2 contract.
Job Description:

We are looking for a highly capable Technical Lead –Python & AI/ML with deep expertise in backend engineering, LLM-based applications, RAG architectures, and AI agent frameworks.
You will lead the design, development, and deployment of production-grade AI systems built on Python, modern LLM tooling, retrieval engines, embeddings, and vector databases.
This is a hands-on leadership role focused on building scalable and intelligent AI products.

Investment Banking and financial domain is needed.

Key Responsibilities

  • Lead the architecture and development of LLM-driven applications, AI agents, and RAG-based systems.
  • Provide technical guidance, conduct code reviews, and mentor junior team members.
  • Drive best practices in Python backend engineering, API development, and AI system design.

Backend Engineering (Python)

  • Build and maintain backend services using FastAPI or Flask.
  • Develop scalable API endpoints for AI applications, embeddings, and retrieval systems.
  • Ensure backend code quality, modularity, performance, and maintainability.

LLMs, RAG, and AI Agent Development

  • Build AI applications using: LangChain, LangGraph, Semantic Kernel, Haystack, LlamaIndex, AutoGen

•       Develop autonomous or semi-autonomous AI agents with tool calling and workflow graphs.

•       Implement Retrieval-Augmented Generation (RAG), embedding pipelines, chunking strategies, reranking, and grounding techniques.

•       Work with OpenAI SDK and other LLM providers (Anthropic, Azure OpenAI, Cohere, etc.).

•       Manage prompt engineering, prompt routing, safety guardrails, and evaluation metrics.

Data & Vector Search Engineering

•       Build data pipelines for indexing, embeddings, and retrieval workflows.

•       Work with SQL databases (PostgreSQL, MySQL, etc.) for metadata and application storage.

•       Work with vector databases such as: Redis, Postgres with pgvector, Elasticsearch, Neo4j, or others.

•       Implement and optimize search workflows using FAISS or similar similarity search libraries.

MLOps, Deployment & Observability

•       Deploy AI services using Docker, container orchestration, and cloud environments.

•       Implement monitoring for AI behavior, performance, error rates, and retrieval accuracy.

•       Set up CI/CD pipelines for backend and AI components.

•       Optimize inference cost, latency, and reliability.

Cross-Functional Collaboration

•       Collaborate with product, data engineering, and business teams to understand requirements.

•       Translate business problems into scalable AI architectures and deliver practical solutions.

•       Communicate technical decisions, trade-offs, and progress to stakeholders.

Required Qualifications

•       Bachelor’s/Master’s degree in Computer Science, AI/ML, Data Science, or related fields.

•       10+ years of experience in Python backend development.

•       Strong proficiency in FastAPI or Flask.

•       Strong working knowledge of SQL databases (Postgres, MySQL, etc.).

•  Hands-on expertise with vector databases:
Redis, Postgres/pgvector, Elasticsearch, or Neo4j.

•       Practical experience with FAISS for similarity search.

•       Hands-on experience with modern LLM frameworks:
LangChain, LangGraph, Semantic Kernel, Haystack, LlamaIndex, AutoGen.

•       Strong understanding of:

  • Embeddings & vector search
  • RAG pipelines
  • Retrieval optimization
  • Chunking strategies
  • Document loaders & indexing

•       Experience building AI apps using OpenAI SDK or similar.

•       Experience deploying APIs/services using Docker and cloud environments.

•       Leadership experience: guiding teams, conducting reviews, driving architecture decisions.