Principal AI Engineer

Mission Context

We are building a causal decision engine for high-stakes systems — where reasoning must be explicit, interventions must be provable, and outcomes must be accountable. As a Principal AI Engineer, you will sit at the core of Abel’s causal intelligence stack, shaping how models reason, simulate counterfactuals, and support real-world decisions across finance, markets, and complex operational domains.

This role is for senior engineers who want to own systems end-to-end — from foundational reasoning architecture to production-grade deployment — and directly influence how intelligent systems make and justify decisions in environments where mistakes are costly.

The Role

You will own and evolve core reasoning systems that power Abel’s causal engine. This is not a support role or a feature-only position. You will design, deploy, and operate production-grade AI systems that directly influence critical decisions, while setting technical direction and engineering standards.

What You’ll Work On

You will focus on the following areas:

• Design and ship causal-aware AI systems that combine LLMs, structured data, time series, and knowledge graphs

• Build and deploy agentic reasoning workflows for simulation, intervention analysis, and decision support

• Architect scalable model pipelines across multimodal data sources, from raw signals to verified insights

• Push models beyond prediction toward explanation, counterfactual reasoning, and causal proof

• Collaborate with researchers and engineers to translate theory into operational systems

• Own system performance, reliability, and accountability in real-world, high-stakes environments
  
  

What We Look For

We look for evidence of end-to-end ownership and production judgment:

• Strong track record of shipping production AI systems under real-world constraints

• Deep understanding of modern machine learning and generative models (LLMs, transformers, representation learning)

• Ability to reason about time, causality, and uncertainty — not just fitting models

• Experience building systems end-to-end and standing behind their outcomes

• Strong ownership, systems thinking, and technical leadership
  
  

Bonus

Any of the following is a plus:

• Experience with causal discovery, do-calculus, counterfactual modeling, or causal inference frameworks

• Experience deploying AI systems in finance, markets, or other high-stakes domains
  
  

Work Style

You’ll likely thrive here if you operate like this:

• Impact-first: focus on outcomes, not process

• Ownership-driven: take responsibility for what you ship

• Low-ego, high-agency: value clear thinking over titles

• Research-meets-reality: theory matters only when it runs in production
  
  

Why Join Abel

What you get here is unusual leverage:

• Work on foundational AI systems where reasoning, explanation, and trust truly matter

• Shape how intelligent systems make decisions in finance and complex operational domains

• Collaborate with researchers and engineers pushing the frontier of causal intelligence

• Build systems that move beyond prediction toward accountable, explainable intelligence
  
  

Apply

Send your resume or profile to hiring@abel.ai

Subject

[Application] Principal AI Engineer – Your Name

Help define how intelligent systems reason, explain themselves, and earn trust in the real world.