Senior Fullstack AI Engineer (Generative AI / Agentic Systems)

Josh Pros LLC; Richardson (TX); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Josh Pros LLC partners with an innovative technology organization to deliver AI-enabled platforms. We seek a Fullstack AI Engineer to drive strategy, architecture, and delivery of enterprise AI solutions with LLM and agentic capabilities.

You will own end-to-end AI platforms, define model strategy, build modular backend services, and mentor engineers. You will partner with product leaders to scale AI initiatives while ensuring governance, safety, and cost optimization.

Qualifications

• 8+ years in Software Engineering/AI domains.
• 3+ years working with Applied AI / LLM systems.
• Proven experience in technical leadership and mentoring.
• Strong production experience with Python/TypeScript and cloud-native architectures.

Responsibilities

• Own end-to-end design of AI platforms and applications.
• Define model strategy (OpenAI, Google, small vs. large models).
• Design scalable systems with RAG, multi-agent frameworks, graph tech and semantic search.
• Lead and mentor AI/ML engineers and data scientists; drive architectural decisions.
• Partner with product leaders to identify high-impact AI use cases and deliver.

Skills

Python

TypeScript

Distributed systems

Docker

Kubernetes

CI/CD

LLM applications

Leadership

Communication

Tools

AWS

Azure

GCP

Job description

We are partnering with an innovative technology organization at the forefront of the Generative AI revolution within a complex, data-rich industry. Their growing AI team is focused on building next-generation AI applications and enhancing existing platforms with advanced LLM and agentic capabilities.
They are seeking a Fullstack AI Engineer to drive the strategy, architecture, and delivery of cutting-edge AI solutions across the enterprise.
Assignment details:
- Location: Richardson, TX
- Work mode: hybrid - 2 days onsite per week in the office
- Duration: long-term contract
- Employment: our W-2 only - no C2C or 1099
- Rate: depends on experience
What you will do
AI architecture and strategy:
- Own end-to-end design of AI platforms and applications
- Define model strategy (OpenAI, Google, small vs. large models)
- Design scalable systems leveraging RAG (retrieval-augmented generation), multi-agent frameworks and workflow orchestration, knowledge graphs, hybrid search, and semantic caching
- Evaluate and implement emerging AI technologies (LLMs, multimodal models, real-time systems)
Platform development:
- Build reusable AI services, SDKs, and frameworks
- Establish best practices for prompt engineering and versioning, model evaluation and observability, and logging, monitoring and incident response
- Develop modular, scalable backend systems for agentic workflows
Leadership and execution:
- 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
Governance and optimisation:
- Define evaluation frameworks (quality, safety, business impact)
- Ensure responsible AI practices (bias, privacy, compliance)
- Optimise performance and cost (model routing, caching, infrastructure design)
- Establish SLAs/SLOs and ensure system scalability and reliability
Why this role
- Opportunity to define AI strategy and architecture at scale
- Work on cutting-edge agentic AI and LLM-driven systems
- High-visibility role with strong influence across product and leadership

Requirements:

• 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 expertise in Python and/or TypeScript in production environments
• Cloud-native architecture (AWS
• Azure
• or GCP)
• Distributed systems
• Docker
• Kubernetes
• CI/CD
• Hands-on LLM application development (prompting
• tool use
• multi-agent systems)
• RAG architectures
• vector databases
• and retrieval optimisation
• 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
• Able to communicate complex AI concepts to technical and business stakeholders
• Nice to have:
• Experience with coding assistants (e.g. Cursor
• Codex
• Windsurf)
• Multimodal or real-time AI applications (voice
• streaming
• UI agents)
• Exposure to AI evaluation frameworks (LangSmith
• OpenAI Evals)
• Background in highly regulated or privacy-focused environments
• Experience shaping AI strategy or building AI capabilities at scale
• Work mode: hybrid - 2 days onsite per week in Richardson
• TX
• Duration: long-term contract
• Employment: our W-2 only - no C2C or 1099