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Senior AI Engineer (Generative AI & Intelligent Automation)

Arkhya TechCharlotte, NC🇺🇸United States

Why this role stands out

This hybrid role offers a fantastic opportunity to drive innovation in Generative AI and Intelligent Automation, leveraging cutting-edge technologies like LangChain and RAG solutions. You'll thrive here if you possess strong Python and AI development experience, a knack for building robust AI agents, and a passion for creating impactful, responsible AI applications. Apply now to join Arkhya Tech and shape the future of intelligent automation!

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationCharlotte, NC, United States
MicroservicesMongoDBNeo4jMLOpsMachine LearningAgileGenerative AIGitLLMPythonRESTRedis

Job description

Role: Senior AI Engineer (Generative AI & Intelligent Automation)

Work Location : Charlotte, NC (Hybrid) F2F interview

Position : C2C

Job description:

Required Qualifications

  • 5+ years of experience in Artificial Intelligence (AI), Machine Learning (ML), Generative AI, or Intelligent Automation solutions.
  • 5+ years of hands-on experience with Python and AI development frameworks, including LangChain, LangGraph, Google ADK, and agent-based architectures.
  • 3+ years of experience implementing Document AI / Intelligent Document Processing (IDP) solutions involving OCR, PDF parsing, data extraction, confidence scoring, rule-based validation, semantic matching, fuzzy comparison, and API integration.
  • 3+ years of experience designing and developing REST APIs, Microservices, and JSON/XML schema mappings for enterprise integrations.
  • Strong experience building and deploying LLM-powered applications, AI agents, RAG (Retrieval-Augmented Generation) solutions, and workflow automation platforms.
  • Experience implementing confidence scoring, validation frameworks, human-in-the-loop (HITL) workflows, and exception handling mechanisms.
  • Familiarity with workflow orchestration platforms, business process automation, and event-driven architectures.
  • Strong understanding of data privacy, PII handling, AI governance, model explainability, auditability, and responsible AI controls.
  • Experience with prompt engineering, vector databases, embeddings, and semantic search technologies.
  • Proficiency in Git, CI/CD pipelines, Agile methodologies, and automated testing practices.
  • Familiarity with MongoDB, Neo4j Knowledge Graphs, Redis, and vector databases.
  • Knowledge of MLOps, AI observability, model monitoring, and evaluation frameworks.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent communication and collaboration abilities within cross-functional teams.

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