Design and enhance multi-agent frameworks and LLM-powered autonomous systems using goal schemas, planner-executor patterns, and well-defined policy enforcement points
Contribute to the definition and implementation of agent state and memory architectures (short-/long-term, episodic, semantic) with strong PII-minimization practices and appropriate TTL strategies
Implement and refine ReAct, CoT, and ToT reasoning loops, and help standardize their use across agent workflows
Build offline and online evaluation signals using curated golden datasets
Contribute to defining and implementing agent-to-agent communication protocols using frameworks like LangGraph, AutoGen, or CrewAI
Measure and improve agent decision reliability using tools such as LangSmith, Arize Phoenix, and Weights & Biases
Design deterministic tool-chaining patterns with appropriate fallbacks, and implement safeguards including idempotency, retries, and circuit-breaker logic
Contribute to integrating grounding techniques to ensure accurate and reliable agent behavior
Architect and implement safety controls such as scoped tool access, allow/deny actions, validators, red-team hooks, and human-escalation paths
Use AgentSpec to define and apply Policy Enforcement Points (PEPs) that prevent high-risk or irreversible agent actions
Operate and scale production agentic AI platforms on Kubernetes by defining agent-centric SLOs, instrumenting deep telemetry (reasoning quality, hallucination rates, tool latency), and supporting on-call through agent-assisted triage, automated rollback/roll-forward, and human-gated controls
Establish enterprise safety guardrails, ethical guidelines, and compliance standards to ensure agents operate within legal, regulatory, and organizational boundaries, especially in high-risk or financial workflows
Partner with Product to shape AI strategy and agent user experiences, and collaborate with data and backend teams to ensure agents access high-quality, real-time data across SQL systems, CRMs, SaaS platforms, APIs, and event streams within existing architectures
Communicate complex agentic concepts—such as CoT, RAG, and safety controls—to non-technical stakeholders to build trust and organizational readiness
Model resilience around model failures and promote AI-native engineering practices, including prompt design and evaluation techniques, across teams

Requirements

Bachelor’s Degree in Computer Science or related field of study
12+ years of experience in Software Engineering including 2+ years in AI/ML, LLMs, agent-based systems or large-scale distributed systems (e.g., LLM-powered applications, LangChain, LangGraph, AutoGen) and 3+ years of experience implementing IaC (Terraform or Ansible)
Master’s Degree in Computer Science or related field of study preferred
15+ years of experience in Software Engineering including 3+ years of experience in AI/ML, Generative AI, or agentic systems (e.g., LLM-powered applications, LangChain, LangGraph, AutoGen), 4+ years of experience in Fintech/payments integrations; PCI and data protection familiarity
4+ years of experience in implementing IaC (Terraform or Ansible)

Benefits

medical, prescription drug, dental, vision, and other voluntary benefits (including basic and optional life insurance, supplemental medical plans, and short and long-term disability)
Six weeks of 100% paid parental leave for eligible parents
Enroll in Bread Financial’s 401(k) plan
11 paid holidays
Flexible Time Off (FTO) program
80 hours of Paid Sick and Safe Time (PSST) upon hire and at the beginning of each subsequent calendar year for most associates
Purchase company stock during offering periods in June and December
Eligible for an annual incentive bonus based on individual and company performance

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

multi-agent frameworksLLM-powered autonomous systemsgoal schemasplanner-executor patternspolicy enforcement pointsagent state architecturesmemory architecturesReActCoTToT reasoning loops

Soft Skills

communicationcollaborationorganizational readinesstrust buildingresilience modeling

Certifications

Bachelor’s Degree in Computer ScienceMaster’s Degree in Computer Science