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
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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