Senior AI Engineer

Artifintech; Plano (TX); On-site; USD 140,000 - 190,000; Full time

Job summary

Artifintech is seeking a Senior AI Engineer in Plano, TX to design, develop and deploy GenAI applications using LLMs and Python. You will build agent-based AI systems with LangGraph and craft robust RAG pipelines leveraging embedding models and vector databases.

The role requires hands-on experience with Azure cloud services, FastAPI backends, and scalable data processing workflows. You will collaborate with data engineering and business teams, containerize services with Docker, and orchestrate

Qualifications

• Hands-on GenAI, LLMs and Python development experience.
• Experience building agent-based AI systems using LangGraph.
• Design and deploy scalable AI-powered applications and APIs.
• Develop RAG pipelines with embedding models and vector databases.
• Containerize apps with Docker and orchestrate with Kubernetes.
• Integrate AI solutions with Azure cloud services.
• Collaborate with data engineering and business teams.

Responsibilities

• Design, develop, and deploy GenAI applications using LLMs and Python.
• Build agent-based AI systems using LangGraph.
• Develop RAG pipelines and ETL data workflows.

Skills

GenAI

LLMs

Python

LangGraph

FastAPI

RAG pipelines

Embedding models

Vector databases

Azure

Snowflake

MongoDB

Databricks

Docker

Kubernetes (AKS)

GitHub

Tools

Docker

Kubernetes

AKS

GitHub

Azure

Snowflake

MongoDB

Databricks

FastAPI

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

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.