Applied AI Engineer: Production ML & Data Pipelines

OuterSignal; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

OuterSignal is seeking a backend-focused software engineer to apply ML/AI to customer-facing products. You will work on AI/data pipelines powering the platform, including prompt chaining, eval design, research APIs, model routing, and prod orchestration.

The evolution of this role includes inference serving, fine-tuning, and synthetic dataset generation, with emphasis on robust, observable production systems across distributed components.

Qualifications

• Experience building production ML/data pipelines.
• Backend-focused with systems design.
• Ability to work across languages.
• Strong measurement mindset.

Responsibilities

• Build and improve production AI/data pipelines across LLMs, APIs, databases and Kubernetes.
• Design evals and build notebooks to measure model behavior and data quality.
• Build observability into AI workflows to monitor cost, latency, reliability and quality.
• Experiment with models, retrieval strategies, structured-output techniques, and model routing.
• Integrate with evolving AI APIs and build abstractions around them.
• Help define future inference serving, fine-tuning and dataset generation infrastructure.

Skills

Distributed systems

Data pipelines

AI/ML fluency

First-principles thinking

Maintainable code

Observability

Job description

OuterSignal is seeking a backend-focused software engineer to apply ML/AI to customer-facing products. You will work on AI/data pipelines powering the platform, including prompt chaining, eval design, research APIs, model routing, and prod orchestration.

The evolution of this role includes inference serving, fine-tuning, and synthetic dataset generation, with emphasis on robust, observable production systems across distributed components.