AI Software Engineer

Quantum Technologies. LLC; Alpharetta (GA); On-site; USD 98,000 - 139,000; Full time

Job summary

Quantum Technologies LLC in Alpharetta, GA is seeking an AI Software Engineer to design and implement advanced AI-powered software, including generative AI features and enterprise integrations.

The role requires 3–5 years of software engineering and 1–3 years in building Generative AI applications; you will collaborate with business stakeholders, leverage Python, APIs, and AI frameworks, and contribute to governance and security practices.

Qualifications

• 3–5 years of software engineering experience with hands-on development.
• 1–3 years building Generative AI applications, assistants, or agents.
• Proficiency in Python and API/enterprise app development.
• Knowledge of LLMs, embeddings, vector databases, and RAG.
• Experience with AI frameworks like LangChain/OpenAI SDK or similar.

Responsibilities

• Develop software and AI features for enterprise systems.
• Integrate AI capabilities with data platforms, APIs, and services.
• Design and implement AI agents, orchestration, and tool calls.
• Build PoCs, prototypes, and reference implementations.
• Collaborate with stakeholders to translate requirements into working software.
• Adhere to testing, quality, and security practices for AI solutions.

Skills

Python

API development

Generative AI

LLMs

Prompt engineering

Embeddings

RAG

LangChain

OpenAI SDK

CI/CD

Tools

LangGraph

LangChain

Claude Code SDK

OpenAI SDK

Azure

AWS

Kubernetes

Containers

GitHub

CI/CD

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Job Title: AI Software Engineer

Location: Alpharetta, GA

Duration:7 Months + Extension

Bill Rate: $86/hour

Job Type: W-2 Contract

Client: To Be Discussed Later

Work Authorization: US-Citizen, H-1B, OPT-EAD, GC-EAD

Job Description

• 3 to 5 years of software engineering experience with hands-on application development responsibilities.
• 1 to 3 years of practical experience developing Generative AI applications, AI assistants, AI agents, copilots, or intelligent automation solutions.
• Proficiency in Python and experience building APIs, integrations, and enterprise applications.
• Working knowledge of Large Language Models (LLMs), prompt engineering, embeddings, vector databases, semantic search, Retrieval-Augmented Generation (RAG), and common AI application patterns.
• Hands-on experience with one or more AI development frameworks, such as LangGraph, LangChain, Claude Code SDK, OpenAI SDK, or similar technologies.
• Familiarity with Model Context Protocol (MCP), AI gateways, agent-to-agent communication, or tool-calling frameworks.
• Experience implementing AI agents, orchestration workflows, tool integrations, or agentic applications.
• Experience building proofs of concept, prototypes, or reference implementations.
• Experience integrating applications with enterprise systems, data platforms, and APIs.
• Familiarity with automated testing and evaluation approaches for AI solution quality, safety, reliability, and performance.
• Awareness of Responsible AI principles, AI governance, security controls, and enterprise data protection requirements.
• Experience with GitHub, CI/CD pipelines, containers, and modern software engineering practices.
• Familiarity with Azure or AWS services used to host and operate applications and AI workloads.
• Ability to work with business stakeholders and application development teams to translate requirements into working software.
• Strong communication, collaboration, and problem-solving skills.
• Preferred Qualifications
• Experience with Azure AI Foundry, AWS Bedrock, Anthropic Claude, OpenAI GPT models, SpaceX Grok Models, Gemini, or similar enterprise AI platforms.
• Experience building RAG solutions, knowledge assistants, or AI-powered search capabilities.
• Exposure to multi-agent systems and agent orchestration workflows.
• Experience integrating applications with ServiceNow, Jira, Confluence, SharePoint, Microsoft Graph, Databricks, Snowflake, or similar enterprise platforms.
• Familiarity with Kubernetes, containerized application deployment, and cloud-native architectures.
• Experience working in financial services or another regulated industry

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.