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Technical Specialist - Gen AI

Apptad Inc

Role: Technical Specialist - Gen AI

Location: Irving TX

Job Description:

Data Engineering, Generative AI, Agentic AI, Intelligent Document Processing (IDP), OCR-based Contract & Invoice Extraction

  • Databricks (PySpark, SQL)
  • Python Development
  • Azure OpenAI / LLM Integration
  • Agentic AI Frameworks (Semantic Kernel, LangChain, LangGraph, CrewAI or equivalent)
  • OCR & Document Intelligence (Azure AI Document Intelligence, ABBYY, Textract, etc.)
  • RAG (Retrieval Augmented Generation)
  • API Integration & Data Pipelines
  • Data Modeling & ETL/ELT Development
  • Knowledge Graph integration
  • Prompt Engineering and LLM Evaluation Frameworks
  • Contract Lifecycle Management (CLM) domain knowledge
  • Invoice Processing / Accounts Payable domain experience
  • Azure Cloud Services
  • Human-in-the-loop workflow implementation
  • Data Quality and Governance Frameworks

We are seeking a hands-on senior resource to design and implement AI-powered Contract & Invoice Extraction solutions. The candidate will build scalable data pipelines to ingest, process, and transform contract and invoice documents using OCR, LLMs, and Agentic AI frameworks.

Responsibilities include developing intelligent agents for data extraction, document classification, validation, exception handling, and business rule processing.

The role involves integrating Databricks, Azure OpenAI, OCR platforms, and enterprise systems to automate contract and invoicing workflows.

The candidate will collaborate with business stakeholders, architects, and technical teams to deliver scalable Intelligent Document Processing solutions.

Key Responsibilities

  • Data Engineering Design and develop scalable ETL/ELT pipelines using Databricks, Spark, and SQL. Build data ingestion frameworks for structured and unstructured documents.
  • Develop data quality, reconciliation, and validation frameworks.
  • Design medallion architecture (Bronze, Silver, Gold) for document processing workflows. Implement metadata management and lineage tracking. Gen AI & Agentic AI Build Intelligent Document Processing (IDP) solutions using LLMs.
  • Develop AI agents to perform: Contract clause extraction Invoice validation Payment term identification Business rule evaluation Exception handling workflows Implement RAG (Retrieval Augmented Generation) solutions.
  • Design multi-agent workflows using Microsoft Agentic Framework, LangChain, LangGraph, CrewAI, Semantic Kernel or similar. Develop prompt engineering and evaluation frameworks. Build human-in-the-loop review workflows.
  • OCR & Document Intelligence Integrate OCR platforms such as: Azure AI Document Intelligence Azure OCR AWS Textract Google Document AI ABBYY Extract: Vendor information Invoice details PO details Payment schedules Contract clauses Pricing schedules Improve extraction accuracy through AI-assisted validation.
  • Stakeholder Management Work closely with business SMEs and invoicing teams. Conduct requirement workshops. Present solution architecture and implementation progress to stakeholders.

Technical Skills

Databricks Apache Spark (PySpark) SQL Python Azure Data Engineering Data Modeling Gen AI / LLM Integration Agentic AI Frameworks RAG Architecture OCR / Document Intelligence REST API Development AI Technologies Azure OpenAI GPT Models Semantic Kernel LangChain LangGraph CrewAI Vector Databases Cloud Platforms Azure (Preferred) AWS GCP Preferred Skills Contract lifecycle management domain knowledge Accounts Payable / Invoicing experience Knowledge Graph integration experience Healthcare or Financial Services domain experience Education Bachelor's or Master's degree in Computer Science, Data Engineering, AI, or related field.

Skills

Azure DataBricks ADF, DataBricks, Python, Pyspark, ETL, SQL.

Vacancy posted more than 2 months ago

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