Senior GenAI Engineer LangGraph UI, LangFlow & Python

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - 12 Month(s)
No Travel Required
Unable to Provide Sponsorship

Skills

GenAI
LangGraph UI
LangFlow
Python

Job Details

Job Title: Senior GenAI Engineer LangGraph UI, LangFlow & Python ( 2 positions)

Location: Irving TX (Onsite 3 days @ office)

Duration: 12 months

Job Description:

We are seeking a highly skilled Senior GenAI Engineer with proven expertise in developing enterprise-level AI agentic solutions that can handle high-volume, complex data processing. The ideal candidate will have hands-on experience with LangGraph UI, LangFlow, and Python, building robust agentic AI workflows and integrating them with enterprise systems.

Key Responsibilities:

  • Design, develop, and deploy AI agentic architectures for enterprise-scale solutions.
  • Build, orchestrate, and optimize LangGraph UI and LangFlow pipelines for dynamic AI workflows.
  • Leverage Python to implement data processing, integration, and automation logic.
  • Handle high-volume and real-time data streams, ensuring scalability and performance.
  • Collaborate with product teams, data engineers, and business stakeholders to align AI workflows with enterprise use cases.
  • Implement monitoring, observability, and failover strategies for agentic AI systems.
  • Research and integrate emerging GenAI frameworks, LLMs, and vector databases into enterprise solutions.

Required Skills & Experience:

  • Strong hands-on experience with LangGraph UI and LangFlow for building agentic AI workflows.
  • Proficiency in Python (FastAPI, asyncio, Pandas, etc.) for data-intensive applications.
  • Experience in designing solutions that handle large-scale, high-volume data processing.
  • Deep understanding of LLMs (OpenAI, Anthropic, Llama, etc.) and how to orchestrate them into multi-agent workflows.
  • Knowledge of enterprise data integration, APIs, and cloud platforms (AWS, Azure, or Google Cloud Platform).
  • Strong problem-solving skills with the ability to design scalable and fault-tolerant AI systems.

Preferred Skills:

  • Experience with vector databases (Pinecone, Weaviate, FAISS, Chroma).
  • Exposure to RAG (Retrieval-Augmented Generation) pipelines.
  • Familiarity with Kubernetes, Docker, and CI/CD for deploying AI solutions.
  • Knowledge of data security, compliance, and governance in enterprise AI.

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