Software Engineer (LLM & Enterprise AI Integrations)

Randstad
Atlanta, GA, United States
7 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$128,211.0 - $149,011.0
Working hours
Regular working hours

Tech stack

LangGraph Framework Application Programming Interfaces (APIs) Artificial Intelligence Microsoft Azure Bioinformatics Cloud Computing Code Review Computer Programming Continuous Integration Github Python (Programming Language) Node.Js
+14 more
Cloud Services Software Engineering Systems Integration TypeScript Cloud Platform System Retrieval-Augmented Generation Large Language Models Multi-Agent Systems Generative AI Backend Microsoft Copilot Studio Performance Monitor Virtual Agents Model Context Protocol

Job description

job summary: We are seeking an experienced Software Engineer with 5+ years of software engineering expertise to build and expand enterprise AI solutions. In this role, you will design and implement LLM-powered applications, build RAG and tool-calling architectures, and integrate core systems with cloud infrastructure.

location: Atlanta, Georgia job type: Contract salary: $61.64 - 71.64 per hour work hours: 8am to 5pm education: Bachelors

responsibilities:

  • Build, enhance, and deploy LLM-powered applications and agentic workflow components.
  • Implement scalable Retrieval-Augmented Generation (RAG) models and tool-calling frameworks.
  • Integrate enterprise APIs and backend services into Azure cloud environments.
  • Perform rigorous AI testing, validation, and performance monitoring.

qualifications: REQUIRED QUALIFICATIONS

5+ years of core software engineering experience.

Advanced programming skills in Python or Node/TypeScript.

Direct hands-on experience building LLM applications, RAG architectures, and tool-calling mechanisms.

Demonstrated experience integrating enterprise APIs and working within Azure or equivalent cloud platforms.

Background in AI application testing and quality assurance practices.

PREFERRED QUALIFICATIONS

Familiarity with LangChain/LangGraph, DeepAgents, Copilot Studio, or Multi-agent frameworks.

Knowledge of Vector databases, Model Context Protocol (MCP), or Microsoft Graph.

Experience with GitHub CI/CD pipelines, Hosted Agents, and AI security/governance standards.

skills: APIs,AI,cloud architectures,cloud services,code reviews,Core programming,CI/CD,Retrieval-Augmented Generation (RAG),GitHub,LangGraph,LLM-powered,Azure,Copilot Studio,Model Context Protocol,Multi-agent architectures,Node,Python,RAG,Retrieval-Augmented Generation,software engineering,integrations,TypeScript,AI-driven applications,methodical,reliability,testing frameworks,governance,AI security,Advanced Security,maintenance,security,technical implementations,Vector databases

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate’s education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.

,

  • Build, enhance, and deploy LLM-powered applications and agentic workflow components.
  • Implement scalable Retrieval-Augmented Generation (RAG) models and tool-calling frameworks.
  • Integrate enterprise APIs and backend services into Azure cloud environments.
  • Perform rigorous AI testing, validation, and performance monitoring.

Requirements

APIs,AI,cloud architectures,cloud services,code reviews,Core programming,CI/CD,Retrieval-Augmented Generation (RAG),GitHub,LangGraph,LLM-powered,Azure,Copilot Studio,Model Context Protocol,Multi-agent architectures,Node,Python,RAG,Retrieval-Augmented Generation,software engineering,integrations,TypeScript,AI-driven applications,methodical,reliability,testing frameworks,governance,AI security,Advanced Security,maintenance,security,technical implementations,Vector databases

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Apply on www.randstadusa.com
Prepare application

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