Senior Software Engineer – AI Innovation

🔥 1 minute ago

🐊 Florida, Georgia – Remote

🐊 Florida – Remote 🍑 Georgia – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

👻 Ghost score 12%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Worth AI

WebsiteLinkedInAll Job Openings

11 - 50 employees

💼 Consulting

🛡️ Insurance

🤖 Artificial Intelligence

Consulting • Insurance • Artificial Intelligence

Worth AI is a company that specializes in enhancing financial security and risk management through advanced AI-driven solutions. Their platform offers a suite of tools designed for seamless onboarding, compliance, and credit risk assessment. They help banks, fintech companies, and credit unions streamline operations by automating processes such as KYC/KYB compliance, reputation monitoring, and automated credit underwriting. Worth AI's technology provides real-time risk monitoring, predictive analytics, and AI-generated insights to improve decision-making, safeguard institutions, and boost revenue. Key offerings include Worth Score™, an AI-driven credit score solution, and unique AI underwriting systems that enhance the accuracy and efficiency of financial assessments.

📋 Description

• Design and ship multi-step agentic systems (planner/executor, tool-using, multi-agent, human-in-the-loop) that automate KYB, underwriting, case review, and risk monitoring workflows. • Architect agent graphs in LangGraph or comparable frameworks with explicit state, durable execution, retries, and safe fallbacks. • Build and harden the retrieval layer powering agents, including chunking strategies, hybrid search, reranking, and grounded citation across business filings, IRS records, bank data, and Worth’s SMB graph. • Own the eval stack: golden sets, offline regression suites, LLM-as-judge, online A/B and shadow evals, and red-teaming for jailbreaks, prompt injection, and PII leakage. • Wire agents into production systems via well-typed tools, MCP servers, and existing services. • Drive production MLOps for agents: deployment, versioning, traffic shaping, cost/latency budgets, observability, and on-call playbooks for agent incidents. • Partner with security, compliance, and legal to keep agents inside SOC 2, GDPR, CCPA, and fair-lending posture. • Translate ambiguous product bets into concrete agent designs, prototypes, and shipped features. • Mentor engineers across the organization on agent patterns, prompt engineering hygiene, eval discipline, and LLM failure modes. • Stay ahead of new models, frameworks, and patterns and bring back what works in production. • Collaborate with the Chief AI Officer, applied scientists, product, and platform teams. • Meet success metrics for agent quality, production reliability, velocity, risk posture, and organization-wide adoption of engineering patterns and tools.

🎯 Requirements

• 8+ years of professional software engineering experience, with at least 2 years building production LLM or agentic systems (not just notebooks or demos). • Solid software engineering experience - front-end, APIs, async patterns, queues, databases, and the failure modes of distributed systems. • Demonstrated ownership of major features or subsystems in production. • Demonstrated experience mentoring junior engineers and raising team quality standards. • Demonstrated experience with event-driven systems: enrichment, retries, dead-lettering, backpressure. • Experience managing containerized applications in Kubernetes, EKS, ArgoCD, operators, Kustomize. • Deep, hands-on experience with at least one modern agent framework (LangGraph strongly preferred) and a track record of shipping agents that actually run, fail gracefully, and recover. • Real experience with evals — you’ve built golden sets, run offline and online evaluations, and used them to make ship/no-ship calls. • Production MLOps fluency: you’ve deployed LLM workloads under real latency, cost, and reliability constraints, and you instrument what you ship. • Strong proficiency in Python; comfortable in TypeScript / Node.js for integrating with Worth’s services. • Clear, calibrated communicator - able to explain agent trade-offs to product, security, and customers without hand-waving. • Operates with extreme ownership in ambiguous, fast-moving environments. Excited to work alongside a team that values “One Team”, “Extreme Ownership”, and “Create Raving Fans.”

🏖️ Benefits

• Health Care Plan (Medical, Dental & Vision) • Retirement Plan (401k, IRA) • Life Insurance • Flexible Paid Time Off • 9 paid Holidays • Family Leave • Remote • Hybrid work (for Orlando Associates) • Free Food & Snacks (Orlando) • Wellness Resources

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