AI Engineer

Aslan

92d

About The Position

Aslan builds autonomous agents to counter modern threats that are faceless, borderless, and beyond the reach of human operators. The company has secured $20M in funding and is seeking an AI Engineer to push the boundaries of agent scaffolding, orchestration, and multi-agent systems. This role involves building cognitive architectures that enable AI agents to significantly enhance human capabilities, going beyond off-the-shelf models to achieve domain-specific autonomy. The engineer will explore novel applications of frontier models and implement cutting-edge post-training techniques to develop foundational improvements in task horizons, providing operators with essential leverage and scale.

Requirements

• Roughly 5+ years of software/ML engineering experience, at a senior level of judgment and autonomy.
• Hands-on experience building agentic AI systems that operate autonomously over extended time. You've designed the scaffolding, orchestration, or memory systems that let agents do sustained, real work.
• Deep familiarity with how frontier models behave, fail, and get extended. You've fine-tuned open-weight LLMs, pushed them into novel territory through post-training or architectural changes, and shipped the result.
• Strong software engineering and systems thinking. You build reliable, observable, debuggable production systems. Python, PyTorch, and the modern ML stack.
• Rigorous instincts on the data side. You know model quality is mostly a data problem and you treat provenance, labeling, and evaluation as first-class engineering concerns.
• Working knowledge of running models on constrained hardware: quantization, GPU memory management, inference optimization.

Nice To Haves

• Experience building agents that operate in adversarial or contested environments where robustness to unexpected inputs and graceful degradation actually matter.
• Prior work with multi-modal systems (text, image, audio) in an agentic context.
• Experience with air-gapped or classified environments and their deployment constraints.
• Active, recent, or eligibility for a U.S security clearance (TS preferred).

Responsibilities

• Design and build the cognitive architecture that lets Aslan's agents operate autonomously over extended task horizons: planning, reasoning, memory, and decision-making systems that sustain coherent, reliable behavior across days and weeks in adversarial environments.
• Build the orchestration layer for multi-agent coordination at scale, including context-sharing, conflict resolution, and behavioral consistency across concurrent operations.
• Push frontier models beyond their default capabilities through novel post-training, domain-specific fine-tuning (SFT, preference optimization, LoRA/QLoRA), and scaffolding strategies purpose-built for high-stakes autonomous operation.
• Build evaluation frameworks for agentic behavior over extended deployments, focused on operational reliability, behavioral coherence, and regression detection at the timescales our agents actually operate.
• Own the data feedback loop from live deployments, turning raw operational signal into training data and evaluation benchmarks that compound model improvements over time, under the sensitivity constraints of the domain.
• Partner closely with forward-deployed and platform engineers to understand what "better" means operationally and get your systems into the hands of the people running missions.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed