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AI Engineer

Job in Alpharetta, Fulton County, Georgia, 30239, USA
Listing for: Sanrnd
Full Time position
Listed on 2026-01-14
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer, Software Engineer
Job Description & How to Apply Below

San R&D Business Solutions LLC | Full time

Alpharetta, United States | Posted on 01/07/2026

About the Role

We are seeking a skilled AI Engineer to build, deploy, and optimize agent-based AI solutions leveraging Large Language Models (LLMs). This role blends software engineering with modern

Generative AI practices, enabling LLMs to interact with tools, APIs, and enterprise systems in secure, scalable production environments.

Key Responsibilities
  • Design, develop, and test autonomous AI agents andmulti-agent systems
  • Implement RAG pipelines, prompt chains, andtool/function-calling logic
  • Optimize LLM performance including latency, cost, andhallucination reduction
  • Build and deploy production-grade AI services and APIsusing Python
  • Integrate AI agents with enterprise systems, data platforms, and external APIs
  • Implement guardrails, security, monitoring, andobservability for AI systems
  • Debug and resolve non-deterministic AI behavior usingtracing tools
  • Document architectures, prompts, workflows, and evaluationresults
  • Collaborate in an Agile environment to deliver sprintcommitments
  • Contribute to AI experimentation, innovation, and roadmapdiscussions
Required

Skills & Qualifications
  • Bachelor’s degree or equivalent practical experience
  • 2+ years of IT or software engineering experience
  • Strong proficiency in Python (mandatory);
    Java experience is a plus
  • Hands-on experience with LLMs and Generative AIfundamentals
  • Experience with agentic frameworks (Lang Chain, Lang Graph,or similar)
  • Understanding of RAG architectures, embeddings, and vector stores
  • Experience building and consuming RESTful APIs
  • Strong debugging, problem-solving, and communication skills
Preferred Skills
  • Advanced prompt engineering techniques (Chain-of-Thought,ReAct, Tree of Thoughts)
  • Experience designing agent memory systems (short-term andlong-term)
  • Knowledge of LLMOps, evaluation pipelines, and AIobservability
  • Experience with vector databases (Pinecone, Milvus,Weaviate)
  • Familiarity with CI/CD pipelines and Infrastructure-as-Code
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