Senior AI Engineer

Valiant Technologies LLC; Plano (TX); Presencial; USD 140.000 - 190.000; Tempo integral

Resumo da vaga

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.

Qualificações

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

Responsabilidades

• 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.

Descrição da vaga

We are seeking a highly experienced Senior AI Engineer with a strong software engineering background and hands-on expertise in Generative AI, LLMs, Python, and LangGraph. The candidate will develop scalable AI-powered applications and agent-based platforms using FastAPI, RAG, vector databases, and Azure cloud technologies.

Key Responsibilities

Design, develop, and deploy GenAI applications using LLMs and Python.

Build agent-based AI systems using LangGraph and similar frameworks.

Develop RAG pipelines using 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.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.