Senior GenAI Engineer: LLMs, Python & Cloud Systems

Valiant Technologies LLC; Plano (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Valiant Technologies LLC seeks a highly experienced Senior AI Engineer to design, develop and deploy GenAI applications leveraging LLMs and Python. The role will build agent-based AI systems with LangGraph, develop RAG pipelines, and optimize prompt engineering and model performance.

You will create scalable backend services and APIs with Python/FastAPI, integrate with Azure cloud services, and work with Snowflake and MongoDB across data platforms.

Qualifications

• GenAI, LLMs, Python proficiency
• Cloud and data stack familiarity
• Hands-on experience with API design and deployment

Responsibilities

• Design, develop, and deploy GenAI applications using LLMs and Python.
• Build agent-based AI systems using LangGraph and similar frameworks.
• Develop RAG pipelines with embedding models, vector databases, and information extraction techniques.
• Implement prompt engineering, LLM evaluation, and model performance optimization.
• Develop scalable backend services and APIs using Python and FastAPI.
• Integrate AI applications with Azure cloud services and enterprise systems.
• Work with Snowflake, MongoDB, and other database technologies.
• Develop and manage ETL pipelines and large-scale data processing workflows.
• Utilize Databricks notebooks, clusters, and workflow orchestration.
• Containerize and deploy applications using Docker and Kubernetes / AKS.
• Use GitHub, Git workflows, and GitHub Copilot for development.
• Collaborate with data engineering and business teams to deliver AI solutions.

Job description

Valiant Technologies LLC seeks a highly experienced Senior AI Engineer to design, develop and deploy GenAI applications leveraging LLMs and Python. The role will build agent-based AI systems with LangGraph, develop RAG pipelines, and optimize prompt engineering and model performance.

You will create scalable backend services and APIs with Python/FastAPI, integrate with Azure cloud services, and work with Snowflake and MongoDB across data platforms.