AI Engineer

Job Title:

AI Engineer

Location:

Alpharetta, GA (Onsite)
Job Type: Long Term Contract

Job Description:

" Agent Development & Testing:
Perform development activities focused on AI Agents, including designing prompt chains, implementing tool-calling logic (function calling), and conducting unit tests for stochastic AI outputs. Work on projects involving RAG
(Retrieval-Augmented Generation) and contribution to agent frameworks.
" Performance Optimization:
Participate in the estimation process for AI features. Diagnose and resolve specific AI performance issues, such as latency in LLM responses, token usage optimization, and reducing hallucination rates in agentic workflows.
" Documentation & Knowledge Sharing:
Document agent architectures, prompt templates, and "chains of thought" so that other developers can understand and iterate on the AI logic with minimal effort.
" Full-Stack AI Integration:
Develop and operate scalable AI applications from the backend logic (Python/Lang Chain) to the API layer, focusing on security (Guardrails) and operational excellence. Ensure agents can reliably execute tasks in a production
environment.
" Modern AI Practices:
Apply modern software and AI engineering practices, including LLMOps, evaluation pipelines (Evals), vector database management, and standard CI/CD/Infrastructure-as-code.
" System Integration:
Work across teams to integrate AI Agents with existing internal systems, and third-party APIs to enable agents to perform "actions" rather than just generating text.
" Innovation & Agile:
Participate in technology roadmap discussions to turn business requirements into functional autonomous agent solutions. Collaborate within a tight-knit engineering team employing agile practices.
" Debugging & Triage:
Triage product issues:
Debug, track, and resolve issues by analyzing traces (e.g., Lang Smith, Arize) to understand the root cause of agent failures or loop errors.
" Implementation:
Lead efforts for Sprint deliverables and solve problems of medium complexity regarding context management and memory.

What experience you need
" Bachelor's degree or equivalent experience
" 5-7 years of IT engineering experience
" 5+ years strong programming proficiency in Python with the ability to process, clean, and structure messy, unstructured data at scale.
" 1+ year experience in architecting and building autonomous Agentic Workflows and multi-agent orchestration using frameworks like preferably with Google ADK/A2A.
" 1+ year of hands-on experience in building and scaling Vector Search infrastructure and embedding pipelines using databases like FAISS, PGVector.
" 2+ years of experience in engineering production-grade RAG (Retrieval-Augmented Generation) pipelines, requiring hands-on experience with advanced retrieval strategies (semantic, lexical, hybrid, weighted hybrid, advanced reranking techniques using M
L libraries, context distillation, compression), semantic/document-aware chunking, metadata extraction, and hybrid search.
" 1+ year of direct experience in Agentic AI development, moving beyond basic prompt engineering to design and deploy autonomous, multi-agent systems that leverage tool-calling, memory, and complex reasoning loops (e.g., ReAct, Plan-and-Solve).
" At least one year of experience deploying, testing, and scaling AI backend services in cloud environments (GCP) using containerization (Docker, Kubernetes).
" At least one year of experience implementing AI security and guardrails, including mitigating prompt injection, hallucination reduction, and ensuring data privacy in enterprise applications.
" At least one year of experience researching, prototyping, and proposing Client AI architectures to solve ambiguous problems, rather than relying on predefined technical specs.

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.