11 часов назад
Principal Engineer (Agentic AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Principal Engineer (Agentic AI) (AWS/LLM): Architecting and delivering secure, scalable agentic AI systems that orchestrate firm knowledge and generate real-time insights with an accent on agent frameworks, cloud-native engineering, and governance. Focus on building reusable agent architectures, evaluation and observability pipelines, tool integrations, and reliable multi-agent workflows within financial-services security and compliance boundaries.
Location: Saint Petersburg, Florida, United States. Hybrid workstyle with attendance at a office three days per week, including at least one Monday or Friday.
Company
is a financial services firm developing secure AI systems to improve knowledge sharing, decision-making, and client outcomes.
What you will do
- Architect and build production-grade agentic AI systems capable of reasoning, planning, self-adaptation, and real-time knowledge orchestration.
- Extend Strands, CrewAI, LangGraph, Agent Core, and related frameworks with standardized, reusable components.
- Develop secure, resilient cloud-native solutions using AWS services including Lambda, ECS, S3, API Gateway, SageMaker, and Bedrock.
- Implement monitoring, tracing, evaluation pipelines, guardrails, and safety controls for reliable agent behavior.
- Design integrations involving retrieval systems, vector databases, embeddings, tool/function calling, MCP servers, and multi-agent workflows.
- Own the full delivery lifecycle from technical design through deployment and iteration, collaborating with data science, engineering, security, risk, and compliance teams.
Requirements
- 10–15 years of general professional experience and a required bachelor's degree in Computer and Information Science.
- Proficiency in Python; experience with TypeScript, Go, or Java is beneficial.
- Required experience with agentic or LLM frameworks such as Strands, CrewAI, LangGraph, Agent Core, or similar technologies.
- Strong AWS architecture, secure API design, data modeling, CI/CD, containerization, observability, and production software engineering skills.
- Experience with Amazon Bedrock and foundation models, prompt and context engineering, agent memory and state management, evaluation, hallucination mitigation, content filtering, and human-in-the-loop oversight.
- Must work in the United States and attend a office three days per week. This role is not eligible for work visa sponsorship.
Nice to have
- Experience with fine-tuning LLMs, Terraform, financial services, and deploying large language models on-premises.
- Experience with time-boxed A2A and Swarm/Crew agentic solutions.
- Experience with TypeScript, Go, or Java.
Culture & Benefits
- Client-first culture emphasizing integrity, independence, precision, reliability, and long-term thinking.
- Benefits may include medical, dental, vision, life, disability, retirement savings, paid time off, holidays, sick leave, and parental leave.
- Less than 25% travel.
- Focus on professional growth, collaboration, ownership, pragmatic decision-making, and continuous improvement.
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