Contract W2
Senior Fullstack AI Engineer (Generative AI / Agentic Systems)
Richardson, TX · Depends on experience
Applying takes about two minutes. No account, no portal, and a human reads it.
About this role
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
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
How we handle your application. A recruiter reads it — not a keyword filter. We will not submit you to this client, or any other, without your explicit approval for that specific role. Josh Pros is an equal opportunity employer and considers all qualified applicants without regard to citizenship or immigration status.
Before you apply anywhere — including here
Ask every firm these questions. We have already answered them.
Do you sponsor work authorization?
Yes, for consultants we employ on W-2 — H-1B transfers, extensions, amendments, and employment-based green cards.
Read moreWhat happens on the bench?
You stay on payroll. For H-1B employees, paying the required wage during employer-caused downtime is a legal requirement, not a perk.
Read moreWill you tell me the client and the layers?
Yes, before you interview. If there is a prime vendor or MSP in the chain, you will know.
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