Senior Software Engineer – AI Innovation

This is a fully remote position, open to applicants in Florida.

📋 Description

• Design and implement multi-step agentic systems for KYB, underwriting, case review, and risk monitoring processes.

• Create agent graphs using LangGraph or similar frameworks, ensuring explicit state management, durable execution, retries, and secure fallbacks.

• Develop and strengthen retrieval layers by employing chunking techniques, hybrid search, re-ranking, and grounded citation across financial and business data.

• Oversee evaluation systems, including golden sets, offline regression suites, LLM-as-judge, online A/B and shadow evaluations, and red-teaming initiatives.

• Integrate agents into production environments utilizing typed tools, MCP servers, and existing decision-making, case management, and crosswalking services.

• Lead production MLOps encompassing deployment, versioning, traffic shaping, cost and latency management, observability, and incident playbooks.

• Collaborate with security, compliance, and legal teams to uphold SOC 2, GDPR, CCPA, and fair-lending standards.

• Transform vague product concepts into agent designs, prototypes, and deployable features.

• Mentor engineers on agent patterns, prompt engineering best practices, evaluation methodologies, and LLM failure modes.

• Assess emerging models, frameworks, and production methodologies.

⛳️ Requirements

• A minimum of 8 years of professional software engineering experience, including at least 2 years of building production LLM or agentic systems (beyond notebooks or demos).

• Strong software engineering background across front-end development, APIs, asynchronous patterns, queues, databases, and understanding the failure modes of distributed systems.

• Proven ownership of significant features or subsystems in a production environment.

• Demonstrated experience in mentoring junior engineers and enhancing team quality standards.

• Experienced with event-driven systems, including enrichment, retries, dead-lettering, and backpressure management.

• Proficient in managing containerized applications using Kubernetes, EKS, ArgoCD, operators, and Kustomize.

• Extensive hands-on experience with at least one modern agent framework (LangGraph preferred) and a history of deploying agents that function reliably, fail gracefully, and recover effectively.

• Practical experience with evaluations — including golden sets, both offline and online evaluations, and utilizing these to make ship/no-ship decisions.

• Fluency in production MLOps: deploying LLM workloads while respecting real latency, cost, and reliability constraints, along with instrumenting delivered solutions.

• Strong proficiency in Python; familiarity with TypeScript / Node.js for integration with Worth’s services is a plus.

• Effective and clear communicator — capable of articulating agent trade-offs to product, security, and customers without ambiguity.

• Works with a strong sense of ownership in fast-paced and ambiguous environments.

• Enthusiastic about collaborating with a team that champions “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 work options

• Hybrid work available for Orlando Associates

• Complimentary Food & Snacks (Orlando)

• Wellness Resources