What You'll Own:

• LLM Accuracy: improve prompts, model selection, tool usage, structured outputs, retrieval, and evaluation coverage so the system gets more decisions right over time.
• System Performance: reduce latency, token usage, and cost while preserving decision quality and operational reliability.
• Resilience: design validation, retries, fallbacks, uncertainty handling, and human review paths for ambiguous, adversarial, incomplete, or conflicting inputs.
• Evaluation and Monitoring: build datasets, regression tests, dashboards, traces, and review loops that make model quality visible and prevent repeated failures.
• Agent and Tooling Architecture: Improve agent orchestration and tool use across internal services, APIs, search workflows, databases, and external data sources.
• Production Operations: help debug live issues, investigate regressions, improve runbooks, and reduce repeated operator friction.

Skills & Experience

• 3+ years of professional software engineering experience in Python, TypeScript, or similar production languages.
• Hands-on experience building production systems that use LLMs, agents, retrieval, structured outputs, or model-powered workflows.
• Experience designing evaluations, test datasets, regression checks, quality metrics, or manual review loops for AI systems.
• Strong debugging ability across APIs, databases, queues, logs, model outputs, and external data sources.
• Practical understanding of prompt engineering, tool calling, structured output validation, retrieval, and common LLM failure modes.
• Ability to reason carefully about correctness in uncertain or adversarial environments.
• High agency, strong ownership, and clear written communication.

#### Nice to Have

• Experience with oracle systems, prediction markets, DeFi protocols, or other crypto infrastructure.


• Experience with UMA, optimistic oracle mechanisms, Polymarket, or similar systems.


• Experience building agentic systems that use tools, search, browser automation, APIs, or database queries.


• Experience with LLM tracing, model monitoring, evaluation frameworks, or AI observability tools.


• Experience optimizing model cost and latency at scale.


• Experience with Postgres, data pipelines, queue-based systems, background jobs, or event-driven architectures.


• Familiarity with blockchain operational constraints, especially RPC limits, indexing, event logs, finality, and chain-specific behavior.


• Experience with GCP, Cloud Run, GitHub Actions, Terraform, or similar infrastructure.

Compensation and Benefits

• Pay packages include competitive salaries & meaningful long term equity participation.
• Salaries for this role range from $100-200k (USD).
• Will pay in stablecoins or fiat.
• Philosophies for a culture that show we care: Take vacation when you need it, family care, training and development (just to name a few).
• 100% remote, which means we encourage you to create the work environment that you thrive in.
• At least two team wide offsites a year.