Senior Fullstack AI Engineer - LLM & Agentic Platforms

DataJobs; Richardson (TX); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Josh Pros is seeking a Senior Fullstack AI Engineer for a long-term W-2 contract in Richardson, TX. Hybrid work requires 2 days onsite per week.

You will own the end-to-end design, architecture, and delivery of enterprise AI platforms and applications with LLM and agentic capabilities. You will shape model strategy, design scalable AI systems, and establish engineering standards for reliability, safety, and cost-aware performance.

Qualifications

• 8+ years in Software Engineering, ML Engineering, or Data Science.
• 3+ years with Applied AI / LLM systems.
• Strong production experience with Python and TypeScript.
• Cloud-native architecture with AWS/Azure/GCP.
• Distributed systems, Docker, Kubernetes, and CI/CD.
• Hands-on LLM development, prompting, tools, and multi-agent systems.
• Experience scaling AI systems in production and leading teams.
• Ability to communicate complex AI concepts to technical and business stakeholders.

Responsibilities

• Own end-to-end design of AI platforms and applications.
• Define model strategy using OpenAI, Google, and varied models.
• Design scalable AI systems with RAG, multi-agent workflows.
• Apply knowledge graphs, hybrid search, and semantic caching.
• Evaluate new AI technologies, including LLMs and real-time systems.
• Build reusable AI services, SDKs, and frameworks.
• Lead AI/ML engineers and data scientists; drive architecture decisions.
• Partner with product to identify high-impact AI use cases.
• Ensure responsible AI with bias, privacy, and compliance considerations.
• Set SLAs/SLOs and oversee logging, monitoring, and incident response.

Skills

AI engineering

Leadership

Python

TypeScript

Cloud-native

AWS/Azure/GCP

Docker

Kubernetes

LLMs

RAG architectures

Multi-agent systems

Tools

Docker

Kubernetes

CI/CD

LangSmith

OpenAI Evals

Job description

Josh Pros is seeking a Senior Fullstack AI Engineer for a long-term W-2 contract in Richardson, TX. Hybrid work requires 2 days onsite per week.

You will own the end-to-end design, architecture, and delivery of enterprise AI platforms and applications with LLM and agentic capabilities. You will shape model strategy, design scalable AI systems, and establish engineering standards for reliability, safety, and cost-aware performance.