Python/Gen AI Developer

Kelly; Irving (TX); Hybrid; USD 150,000 - 210,000; Full time

Job summary

Kelly is seeking a highly experienced software leader to own the backend agent stack for an AI-driven platform. You will drive the architecture and hands-on implementation of the agent layer, REST interfaces, security, and data handling in a cloud environment.

The role requires 8+ years in software development with Python, expertise in Generative AI, LLMs, and MLOps, plus front-end work with React. This is a 6-month contract with extension potential and a hybrid onsite schedule in Irving, TX.

Qualifications

• Bachelor's or Master's in CS/AI/ML or related quantitative field.
• 8+ years of professional software development with Python.
• Experience as a technical lead and with Generative AI models.

Responsibilities

• Build the backend agent stack and REST services for AI platform.
• Develop chat features with streaming, async ops, and file uploads.
• Collaborate across frontend (React) and AI model deployment via MLOps.

Skills

Python

Technical lead

Generative AI

React

MLOps

Cloud platforms

Docker

Kubernetes

REST

LLMs

Algorithms

Education

Bachelor's or Master's in CS/AI/ML

Tools

Google ADK

TensorFlow

PyTorch

JAX

Docker

Kubernetes

React

REST

AWS

GCP

Job description

6 months contract with possible extension

3 days onsite per week

Required Skills & Experience

• Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field.
• 8+ years of professional experience in software development, with a strong focus on Python.
• Experience as a technical lead.
• Must have strong experience with Google ADK
• Full-stack agentic backend experience building the agent layer (not only integrating with LLMs).
• Backend "agent stack" (MCP servers, REST, security, semantic queries, RAG databases)
• Proven experience with Generative AI models, including hands-on experience with large language models (LLMs) or other generative architectures.
• Experience with Google ADK or similar Google AI/ML platforms and SDKs.
• Understanding of Deep learning frameworks such as TensorFlow, PyTorch, or JAX.
• Strong front-end development skills, particularly with React, for building interactive user interfaces.
• Demonstrable experience in implementing chat functionalities, including handling HTTP streaming, asynchronous operations, managing file uploads, and applying various chat formatting techniques.
• Solid understanding of machine learning principles, algorithms, and data structures.
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and MLOps practices for deploying and managing AI models.
• Familiarity with containerization technologies (e.g., Docker, Kubernetes).
• Strong problem-solving skills and the ability to work independently and as part of a team.
• Excellent communication and interpersonal skills.