Senior Agentic AI Engineer
New
W
Worth AIFintech AI
Orlando, Florida, United States. Atlanta, Georgia, United States. Tampa, Florida, United States. Miami, Florida, United StatesFull-TimeSenior
Salary not disclosed
Apply NowOpens the employer's application page
Job Details
- Experience
- 5+ years of software engineering experience, with 2+ years building production LLM or agentic systems
- Required Skills
- AWSNode.jsPostgreSQLPythonKubernetesTypeScriptTerraformMLOps
Requirements
- 5+ years of software engineering experience.
- 2+ years building production LLM or agentic systems.
- Hands-on experience with a modern agent framework, preferably LangGraph.
- Strong RAG fundamentals including chunking, embeddings, hybrid retrieval, and reranking.
- Real evaluation experience using golden sets and offline/online evaluations.
- Production MLOps fluency with deployed LLM workloads under latency, cost, and reliability constraints.
- Strong Python proficiency and comfort with TypeScript/Node.js.
- Solid systems engineering experience with APIs, async patterns, queues, databases, and distributed system failure modes.
- Experience building MCP servers or other structured tool interfaces for LLMs.
- AWS depth including EKS, MSK, RDS, S3, and Lambda, plus IaC with Terraform.
- Prior experience in fintech, lending, payments, KYB/KYC, fraud, or AML preferred.
- Background in classical ML techniques such as ranking, scoring, and calibration.
Responsibilities
- Design and ship multi-step agentic systems (planner/executor, tool-using, multi-agent, human-in-the-loop) for onboarding, underwriting, case review, and continuous monitoring.
- Architect agent graphs in LangGraph with explicit state, durable execution, retries, and safe fallbacks.
- Build the retrieval layer powering agents including chunking, hybrid search, reranking, and grounded citation.
- Own the eval stack including golden sets, offline regression suites, LLM-as-judge, online A/B and shadow evals, and red-teaming.
- Expose agents to production systems via well-typed tools and MCP servers.
- Drive production MLOps covering deployment, versioning, traffic shaping, cost/latency budgets, tracing, and on-call playbooks.
- Partner with security and compliance to maintain SOC 2, GDPR, CCPA, and fair-lending posture.
- Mentor engineers on agent patterns, prompt hygiene, eval discipline, and LLM failure modes.
View Full Description & ApplyYou'll be redirected to the employer's site
