AI Engineer

Compunnel, Inc.; Alpharetta (GA); On-site; USD 100,000 - 140,000; Full time

Job summary

A leading technology firm in Alpharetta, Georgia, is seeking an AI Engineer to design and implement intelligent systems leveraging modern AI frameworks. The ideal candidate will develop full-stack applications using Python and integrate large language models. Key responsibilities include deploying solutions to cloud platforms and ensuring scalable AI interactions. Strong experience with frameworks like FastAPI, Flask, and Django is essential.

Qualifications

• Strong experience in full-stack Python development (FastAPI, Flask, Django).
• Proficiency in SQL and NoSQL databases.
• Proven expertise in prompt engineering and LLM integration.
• Hands-on experience with LangGraph and MCP for agent orchestration.
• Familiarity with vector search and RAG pipelines.
• Experience deploying solutions on cloud platforms (AWS, GCP, Azure).
• Proficiency in Docker, CI/CD pipelines, and distributed systems.

Responsibilities

• Develop full-stack applications using Python frameworks.
• Integrate and optimize LLMs with prompt engineering.
• Design agent workflows using LangGraph and MCP.
• Implement vector search and RAG pipelines.
• Manage context strategies for scalable AI interactions.
• Deploy AI agents into production systems.

Skills

Full-stack Python development

LLM integration

Agent orchestration

Cloud infrastructure (AWS, GCP, Azure)

Containerization with Docker

CI/CD pipelines

SQL and NoSQL databases

Problem-solving

Collaboration skills

Tools

FastAPI

Flask

Django

LangGraph

MCP

Docker

Job description

We are seeking a highly skilled AI Engineer with strong full-stack Python development experience and a deep understanding of large language models (LLMs), agent orchestration, and cloud infrastructure. The ideal candidate will be responsible for designing and deploying intelligent systems that leverage modern AI frameworks and tools to deliver scalable, context-aware solutions.

Key Responsibilities

• Develop full-stack applications using Python frameworks such as FastAPI, Flask, or Django.
• Integrate and optimize LLMs (OpenAI, Anthropic, open-source models) with prompt engineering and context-aware strategies.
• Design agent workflows using LangGraph and MCP for orchestration and automation.
• Implement vector search and Retrieval-Augmented Generation (RAG) pipelines.
• Manage session and context strategies for scalable AI interactions.
• Deploy AI agents into production systems using cloud platforms (AWS, GCP, Azure).
• Utilize Docker for containerization and CI/CD pipelines for continuous deployment.
• Collaborate with cross-functional teams to ensure robust and scalable system architecture.
• Maintain high standards of code quality, documentation, and performance monitoring.

Required Qualifications

• Strong experience in full-stack Python development (FastAPI, Flask, Django).
• Proficiency in SQL and NoSQL databases.
• Proven expertise in prompt engineering and LLM integration.
• Hands-on experience with LangGraph and MCP for agent orchestration.
• Familiarity with vector search, RAG pipelines, and session/context management.
• Experience deploying solutions on cloud platforms (AWS, GCP, Azure).
• Proficiency in Docker, CI/CD pipelines, and distributed systems.
• Excellent problem-solving, communication, and collaboration skills.

Preferred Qualifications

• Background in information retrieval, knowledge graphs, or search systems.
• Experience with front-end development and data visualization tools.
• Contributions to open-source AI, agent, or LLM frameworks.
• Familiarity with advanced ML model serving and orchestration platforms.