AI Engineer
Job in
Alpharetta, Fulton County, Georgia, 30239, USA
Listed on 2026-01-14
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 RoleWe 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.
- 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, and hallucination 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 using tracing tools
- Document architectures, prompts, workflows, and evaluation results
- Collaborate in an Agile environment to deliver sprint commitments
- Contribute to AI experimentation, innovation, and roadmapdiscussions
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 AI fundamentals
- 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
- 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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