Job Title: AI Engineer
Location: Alpharetta GA
Work Type: Onsite
Employment Type: Contract (C2C)
Work Authorization: All except OPT / CPT
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 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
Required Skills & Qualifications:
- Bachelors 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 (LangChain LangGraph 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 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
Job Title: AI EngineerLocation: Alpharetta GAWork Type: OnsiteEmployment Type: Contract (C2C)Work Authorization: All except OPT / CPTAbout 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 sof...
Job Title: AI Engineer
Location: Alpharetta GA
Work Type: Onsite
Employment Type: Contract (C2C)
Work Authorization: All except OPT / CPT
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 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
Required Skills & Qualifications:
- Bachelors 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 (LangChain LangGraph 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 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
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