Hi,
Our client is looking for a Sr. Gen AI Engineer with a Long-Term Contract project in Irving, TX below is the detailed requirement.
Position : Sr. Gen AI Engineer
Location : Irving, TX
Contract
Must Skills : GenAI, AI Agentic, LangGraph UI, LangFlow, and Python.
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 GCP).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.