Artificial Intelligence Engineer

About the Role

agentic, decision-driven AI systems

not a chatbot or prompt-engineering role

interpret intent, orchestrate tools, enforce guardrails, and fail safely

Key Responsibilities

• Build agent-based AI workflows
• Implement hybrid systems combining

  Classical ML +Generative AI

• Design tool-calling, validation, and fallback mechanisms
• Integrate AI with OMS, portfolios, reporting, and alerts
• Ensure AI behavior is

  explainable, auditable, and compliant

• Own system behavior during failures and ambiguity

Required Skills & Experience:

• Strong experience building

  production AI / ML systems

• Backend engineering fundamentals (Python / APIs / services)
• Experience deploying models or AI services behind Flask or Fast APIs
• Understanding of evaluation beyond accuracy (precision, latency, cost)
• Comfortable debugging failures in live environments

Good to Have:

• Financial or time-series data exposure
• Experience with risk, alerts, or decision systems
• Event-driven or real-time systems experience

What We Value:

• Engineers who know

  where AI should stop

• Strong system design and ownership mindset
• Comfort with ambiguity and regulated environments