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Senior LLM Systems Engineer

Job not on LinkedIn

🕒 May 25

🌏 Anywhere in the World

đŸ’” $100k - $200k / year

⏰ Full Time

🟠 Senior

⚙ Systems Engineer

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Logo of Risk Labs Foundation

Risk Labs Foundation

11 - 50 employees

₿ Crypto

🌐 Web 3

Crypto ‱ Web 3 ‱ Technology

Risk Labs Foundation is the organization behind the Across and UMA Protocols, offering technology solutions focused on decentralized systems. Across is a cross-chain bridge for Layer 2s (L2s), secured by UMA's optimistic oracle, designed for capital efficiency with a single liquidity pool, a competitive relayer landscape, and a no-slippage fee model. UMA is an optimistic oracle that can record any verifiable truth onto a blockchain. Risk Labs emphasizes a flexible and supportive working environment for its international team, offering benefits such as unlimited PTO, family care leave, and training and development opportunities.

📋 Description

‱ We are hiring a Senior LLM Systems Engineer to own and improve the LLM-driven components of our oracle automation stack. ‱ Focus on the accuracy, performance, resilience, and operational quality of the systems that use models to reason about wide ranging prediction market rules, evidence, and oracle outcomes. ‱ Build the evaluations, observability, tooling, fallbacks, and feedback loops that make LLM behavior measurable and dependable in real-world conditions. ‱ Improve prompts, model selection, tool usage, structured outputs, retrieval, and evaluation coverage so the system gets more decisions right over time. ‱ Design validation, retries, fallbacks, uncertainty handling, and human review paths for ambiguous, adversarial, incomplete, or conflicting inputs. ‱ Build datasets, regression tests, dashboards, traces, and review loops that make model quality visible and prevent repeated failures. ‱ Help debug live issues, investigate regressions, improve runbooks, and reduce repeated operator friction.

🎯 Requirements

‱ 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.

đŸ–ïž 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

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