About this opportunity
DataJobs lists this Senior Fullstack AI Engineer opportunity in richardson, Texas. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Josh Pros is hiring a Senior Fullstack AI Engineer for a long-term, W-2 only contract based in Richardson, TX with hybrid work (2 days onsite per week) . In this role, you will own the end-to-end design, architecture, and delivery of enterprise AI platforms and applications, including LLM and agentic capabilities.
Working across the full lifecycle from concept through production, you will shape technical direction for model strategy, scalable AI system design, and measurable evaluation practices. The position emphasizes building reusable AI services and establishing engineering standards for reliability, safety, and cost-aware performance.
What you’ll do
Own the end-to-end design of AI platforms and applications
Define model strategy using OpenAI , Google , and an approach spanning small vs. large models
Design scalable AI systems using RAG , multi-agent frameworks , and workflow orchestration
Apply knowledge graphs, hybrid search , and semantic caching to improve retrieval and performance
Evaluate and implement emerging AI technologies, including LLMs , multimodal models , and real-time systems
Build reusable AI services, SDKs , and frameworks
Set best practices for prompt engineering and versioning , model evaluation , and observability
Implement and oversee logging, monitoring, and incident response
Develop modular, scalable backend systems for agentic workflows
Lead and mentor AI/ML engineers and data scientists
Drive design reviews, architecture decisions, and coding standards
Partner with product and business leaders to identify high-impact AI use cases
Own delivery of complex AI initiatives from concept through production
Define evaluation frameworks for quality , safety , and business impact
Ensure responsible AI practices, including bias, privacy, and compliance
Optimize performance and cost through model routing, caching, and infrastructure design
Establish SLAs/SLOs and ensure system scalability and reliability
Required experience
8+ years in Software Engineering, ML Engineering, or Data Science
3+ years working with Applied AI / LLM systems
Proven experience in a technical leadership role
Strong production experience with Python and/or TypeScript
Cloud-native architecture experience with AWS, Azure, or GCP
Experience with distributed systems , Docker , Kubernetes , and CI/CD
Hands-on LLM application development, including prompting , tool use , and multi-agent systems
Experience with RAG architectures , vector databases , and retrieval optimization
Knowledge of AI evaluation , monitoring , and observability
Proven ability to architect and scale AI systems in production
Proven ability to lead cross-functional initiatives and mentor teams
Ability to communicate complex AI concepts to technical and business stakeholders
Technologies you may work with
OpenAI, Google, LLMs, multimodal models, real-time systems
RAG (retrieval-augmented generation), multi-agent frameworks, workflow orchestration
Knowledge graphs, hybrid search, semantic caching, vector databases
Python, TypeScript
AWS, Azure, GCP, Docker, Kubernetes, CI/CD
LangSmith, OpenAI Evals
Cursor, Codex, Windsurf
Location and contract details
Location: Richardson, TX
Work mode: hybrid, 2 days onsite per week
Duration: long-term contract
Employment: W-2 only (no C2C or 1099)
Rate: depends on experience
Nice to have
Experience with coding assistants such as Cursor, Codex, or Windsurf
Multimodal or real-time AI applications (voice, streaming, UI agents)
Exposure to AI evaluation frameworks such as LangSmith or OpenAI Evals
Background in highly regulated or privacy-focused environments
Experience shaping AI strategy or building AI capabilities at scale
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Worksite address
richardson, TX, 75080, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.