Agentic AI - Lead Application Developer

Position: Agentic AI - Lead Application Developer

Contract Duration: 12+ Months

Location: St. Petersburg, FL (Hybrid for 3 days)

Essential Duties and Responsibilitie

s- Architect and Build Agentic Systems: Design and implement agentic AI architectures capable of reasoning, planning, and self-adaptation within firm-approved security and compliance boundaries

.- Leverage and Extend Frameworks: Utilize and enhance frameworks such as Strands, CrewAI, LangGraph, and AgentCore to create standardized, reusable components that accelerate agentic development across teams

.- Cloud Engineering: Develop secure, resilient, and scalable cloud-native solutions using AWS services (Lambda, ECS, S3, API Gateway, SageMaker, Bedrock, etc.) to support production-grade AI operations

.- Monitoring and Evaluation: Implement metrics, tracing, and evaluation pipelines that ensure transparency, reliability, and continuous improvement in agentic behavior

.- Integration and Governance: Collaborate with security, risk, and compliance to embed governance, auditability, and ethical safeguards into all systems

.- Collaboration: Partner with data science, enterprise architecture, and application engineering teams to integrate agentic capabilities into firm platforms

.- Innovation Leadership: Research, test, and recommend new frameworks and patterns that responsibly advance the firm’s AI capabilities

.- Ownership: Drive full lifecycle delivery—from technical design through deployment and iteration—maintaining high standards of reliability and documentation

.Other responsibilities as assigned

.
Skil

ls- Proficiency in Python (with experience in TypeScript, Go, or Java a plus

).- Solid understanding of AWS architecture and services—deployment, monitoring, security, and cost optimizatio

n.- Familiarity with agentic or LLM frameworks such as Strands, CrewAI, LangGraph, Agent Core, or simila

r.- Experience with retrieval systems, vector databases, embeddings, and orchestration framework

s.- Strong grounding in secure API design, data modeling, and CI/CD automatio

n.- Proven record of writing clean, testable, production-grade cod

e.- Experience designing tool/function-calling integrations and Model Context Protocol (MCP) servers and connector

s.- Strong prompt and context engineering, including agent memory, state, and session/context managemen

t.- Experience with agent and LLM evaluation, guardrails, and safety controls—hallucination mitigation, content filtering, and human-in-the-loop oversigh

t.- Hands-on experience with foundation models via Amazon Bedrock (e.g., Anthropic Claude), including model selection and prompt/parameter tuning for latency and cos

t.- Familiarity with multi-agent orchestration and workflow design—planning, task decomposition, routing, tool use, and error handlin

g.- Experience with containerization and orchestration (Docker, Kubernetes) for deploying scalable, resilient service

s.- A good understanding of scalable, reliable, and reusable Agent Harnesse

s.- Knowledge of Terraform for IaC deployments. Hands-on experience with Terraform is a plu

s.- OpenTelemetry for Dynatrace and Observabili

ty- Experience with agent performance tuning and cost optimizatio

n.- Experience with time-boxed A2A and Swarm/Crew Agentic solutio

ns- Deploying large language models on-pr

em- Experience with fine-tuning LLMs - nice to ha

ve- Mindset: Deep curiosity, bias toward execution, and respect for precision and reliabilit

y.- Financial services experience preferred but not require