Job Description

Forward Deployed Engineer - Agentic AI

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 isn’t just another AI position. We’re looking for engineers who can architect and deliver agentic AI systems end-to-end, taking ideas well beyond prototypes into reliable, production-grade solutions. You’ll 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 You’ll 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 We’re 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.
• Dynamic Culture: Join a fast-moving team at the forefront of applied AI innovation.

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