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AI Engineer
Job in
Alpharetta, Fulton County, Georgia, 30239, USA
Listed on 2026-01-11
Listing for:
SAN R&D Business Solutions
Full Time
position Listed on 2026-01-11
Job specializations:
-
IT/Tech
AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
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Job Title: AI Engineer
Location: Alpharetta, GA
Work Type: Onsite
Employment Type: Contract (C2C)
Work Authorization: All except OPT / CPT
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 and multi-agent systems
- Implement RAG pipelines, prompt chains, and tool/function-calling logic
- Optimize LLM performance including latency, cost, and hallucination reduction
- Build and deploy production-grade AI services and APIs using Python
- Integrate AI agents with enterprise systems, data platforms, and external APIs
- Implement guardrails, security, monitoring, and observability 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 roadmap discussions
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 and long-term)
- Knowledge of LLMOps, evaluation pipelines, and AI observability
- Experience with vector databases (Pinecone, Milvus, Weaviate)
- Familiarity with CI/CD pipelines and Infrastructure-as-Code
- Experience working in Agile/Scrum teams
- Entry level
- Contract (C2C)
- Information Technology
- IT Services and IT Consulting
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