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Team Build: Multiple Hires
Dallas, Texas, United States - 3 days in office and local travel for client delivery
Competitive salary + bonus + benefits
Multiple Hires - Senior/Lead and Associate Director Level
Why This Role?
This isnt just another AI position. Were looking for engineers who can architect and deliver agentic AI systems end-to-end, taking ideas well beyond prototypes into reliable, production-grade solutions. Youll collaborate closely with enterprise and public sector clients, guiding initiatives from early proof-of-concept through to business-critical platforms used by hundreds or even thousands of people.
What Youll Do
Architect agentic systems: Take ownership of the full agent lifecycle (plan execute learn), including orchestration via DAGs or state machines and long-term memory design.
Develop resilient tooling: Build schemas, retry logic, rate controls, and SDKs to enable safe and extensible system use.
Design memory & knowledge layers: Deliver episodic and semantic memory services, retrieval interfaces, deduplication pipelines, and summarisation agents.
Ship to production at scale: Roll out containerised platforms across Kubernetes, serverless environments, and GPU infrastructure, with CI/CD, monitoring, and automated scaling.
Harden system reliability: Implement guardrails, latency and cost controls, checkpointing, and reviewer/critic patterns to improve output quality.
Run structured evaluation: Create automated testing frameworks using golden datasets, retrieval performance checks, and ongoing drift detection.
Partner with stakeholders: Facilitate workshops, roadmap planning, and capability assessments, turning advanced AI concepts into clear, practical plans.
What Were Looking For
Required:
Demonstrated experience designing, building, and running LLM-powered or agentic systems in live production environments.
Solid core engineering skills across orchestration, state and memory handling, deployment pipelines, and system observability.
Working knowledge of agent-based patterns and frameworks (such as LangGraph, ReAct, or chain-of-thought loops), or the capability to implement these approaches from first principles.
Comfortable operating in customer-facing contexts, including leading workshops, delivering presentations, and providing technical guidance or advisory support.
Preferred:
Degree or higher in AI, Computer Science, or a related technical discipline.
Familiarity with PyTorch or TensorFlow, vector databases, RAG workflows, and orchestration frameworks.
Experience in start-ups (versatile, hands-on generalist) or consulting environments (client-facing).
Exposure to regulated sectors or compliance-heavy industries.
Self-driven, entrepreneurial attitude; able to work independently and take ownership of projects.
Why Join?
Real-World Impact: Build and deploy mission-critical agentic AI systems that solve tangible problems.
Cutting-Edge Challenges: Work on orchestration and deployment problems that go far beyond standard integration.
Global Collaboration: Remote-first role offering chances to work with teams around the world.
Career Growth: Shape enterprise AI strategies and contribute meaningfully to the wider AI ecosystem. xsgimln
Dynamic Culture: Join a fast-moving team at the forefront of applied AI innovation.