AI Engineer

Compunnel, Inc.; Alpharetta (GA); Hybrid; USD 130,000 - 180,000; Full time

Job summary

Compunnel, Inc. is seeking a Senior Software Developer in Alpharetta, GA, to lead AI-driven automation initiatives. The role requires strong hands-on work with LangGraph, Vertex AI, Gemini, RAG, Python, and React, with a focus on scalable enterprise solutions.

You will design end-to-end AI systems, mentor a small development team, and transform proof-of-concepts into production-grade products. Collaboration with stakeholders is essential to deliver high-quality, maintainable software.

Qualifications

• 5+ years of professional software development experience.
• Strong hands-on experience with LangGraph, Vertex AI, Python and AI/ML.
• Experience designing scalable enterprise AI-driven solutions.
• Experience leading architecture and end-to-end development.

Responsibilities

• Perform detailed design of complex applications and architecture components.
• Design and build end-to-end AI solutions using LangGraph, RAG, Gemini, Vertex AI, Python and React.
• Lead system architecture and technical design for scalable enterprise solutions.
• Translate concepts into production-grade products and mentor teammates.
• Collaborate with stakeholders to address business and technical challenges.
• Guide code reviews, testing, and performance improvements.

Skills

LangGraph

Vertex AI

Python

AI/ML

Solution architecture

Education

Bachelor's or Master's in CS/SE/DS

Tools

React

LangGraph

Google Vertex AI

Job description

Seeking a Senior Software Developer with 5+ years of experience and deep hands-on expertise in building AI-driven and agentic automation solutions. The ideal candidate will have strong experience with LangGraph, Google Vertex AI, Python, and AI/ML, with the ability to design scalable enterprise solutions incorporating advanced reasoning, workflow orchestration, multi-agent systems, RAG, and Gemini. The role involves technical leadership, solution architecture, product innovation, and transforming proof-of-concepts into production-grade products.

Key Responsibilities:

• Perform detailed design of complex applications and architecture components.
• Design and build end-to-end AI solutions using LangGraph, RAG, Gemini, Vertex AI, Python, and React.
• Build LangGraph solutions using graphs, tool nodes, memory/state management, and streaming agents.
• Leverage Google Vertex AI capabilities including Gemini, RAG, Vector Search, embeddings, and AI safety.
• Lead system architecture and technical design for scalable, maintainable enterprise solutions.
• Develop proof-of-concepts and transform successful concepts into production-grade products.
• Lead or support a small team of developers in configuring, programming, and testing applications.
• Fix medium to complex defects and resolve application performance issues.
• Monitor, track, and participate in ticket resolution for assigned applications.
• Manage code reviews and mentor other developers.
• Provide technical leadership, mentoring, and guidance to development teams.
• Work closely with stakeholders to address complex business and technical challenges.
• Collaborate across teams to ensure delivery of high-quality, scalable, and maintainable solutions.
• Identify opportunities for product innovation and improvements to existing solutions.
• Apply strong understanding of end-to-end system flows and product strategy to AI solution development.

Required Qualifications:

• 5+ years of relevant professional experience.
• Bachelor’s or Master’s degree in Computer Science, Software Engineering, Data Science, or a related field.
• Strong hands-on experience with LangGraph, including graphs, tool nodes, memory/state, and streaming agents.
• Strong hands-on experience with Google Vertex AI, including Gemini, RAG, Vector Search, embeddings, and AI safety.
• Strong experience in AI/ML.
• Strong proficiency in Python.
• Experience designing and building scalable AI-driven and agentic systems.
• Experience with solution architecture, technical design, and end-to-end application development.

Preferred Qualifications:

• Experience with React.
• Experience with proof-of-concept development and productionizing AI solutions.
• Experience providing technical leadership, mentoring, and guidance to development teams.