Generative AI Engineer — LangChain, RAG & OCR Focus

Hire IT People, Inc

Irving (TX)

On-site

USD 120,000 - 180,000

Full time

4 days ago
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Job summary

Hire IT People, Inc. is seeking a skilled ML Engineer in Irving, TX to develop and deploy machine learning models using Python.

You will build Generative AI, Agentic AI, and RAG-based applications, create AI agents with LangChain and Google ADK, and implement OCR/data extraction for document processing. You will also design ETL pipelines for PostgreSQL storage, collaborate with cross-functional teams, and mentor junior members while deploying models to AWS, GCP, or Azure in production

Qualifications

  • Proficiency in Python for ML model development.
  • Experience with Generative AI / LLM and Agentic AI.
  • Familiarity with RAG and LangChain.
  • Experience with Google ADK.
  • Strong knowledge of PostgreSQL and SQL.
  • Document AI / OCR for data extraction.

Responsibilities

  • Develop and implement ML models using Python.
  • Build Generative AI, Agentic AI, and RAG-based apps.
  • Develop AI agents with LangChain and Google ADK.
  • Implement document processing including OCR and data extraction.
  • Build ETL pipelines to process and store data in PostgreSQL.
  • Deploy AI/ML models to production and integrate with cloud platforms (AWS, GCP, Azure).
  • Collaborate with business and technical teams to deliver AI solutions and mentor juniors.

Skills

Python
Generative AI/LLM
Agentic AI
RAG
LangChain
PostgreSQL/SQL
Document AI/OCR
TensorFlow/PyTorch/Scikit-learn
NLP/Computer Vision
Tool Calling/Multi-Agent Orchestration

Tools

Google ADK

Job description

Hire IT People, Inc. is seeking a skilled ML Engineer in Irving, TX to develop and deploy machine learning models using Python.

You will build Generative AI, Agentic AI, and RAG-based applications, create AI agents with LangChain and Google ADK, and implement OCR/data extraction for document processing. You will also design ETL pipelines for PostgreSQL storage, collaborate with cross-functional teams, and mentor junior members while deploying models to AWS, GCP, or Azure in production

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