Senior Full Stack AI Engineer (Agentic AI & LLM Platforms)

Overview:

Job Title: Senior Full Stack AI Engineer (Agentic AI & LLM Platforms)

Location:

Minneapolis, MN

Job Type:

Full-Time

Experience:

8-12 Years

Job Summary

We are seeking a

Senior Full Stack AI Engineer

to design, build, and scale enterprise-grade AI applications and shared AI platform capabilities supporting Portfolio Management and Investment Research. The ideal candidate will have extensive experience with

Agentic AI, LLMs, Anthropic Claude, RAG architectures, AI orchestration, and Python , along with a strong understanding of financial services and cloud-native engineering. This is a hands-on engineering role responsible for developing secure, reusable, and governed AI solutions that accelerate enterprise AI adoption.

Required Skills

AI & Generative AI

8+ years of software engineering or platform engineering experience Hands-on experience implementing:

Agentic AI Large Language Models (LLMs) Multi-Agent Systems AI Automation AI Platform Engineering

Strong expertise with:

Anthropic Claude Claude Code Claude Interpreter Prompt Engineering Tool Calling AI Orchestration AI Workflows

AI Frameworks

LangChain LangGraph LlamaIndex MCP (Model Context Protocol) RAG (Retrieval-Augmented Generation) Vector Databases Embeddings Semantic Search Programming

Python REST APIs Microservices Object-Oriented Programming Cloud-Native Development Cloud & DevOps

AWS, Azure, or GCP CI/CD Pipelines Git Docker Kubernetes SDLC Automation AI Platform Engineering

AI Platform Development Shared AI Services AI Guardrails AI Governance Responsible AI Model Evaluation Model Monitoring Enterprise AI Enablement Data & Analytics

Enterprise Data Platforms Structured & Unstructured Data Data Integration Analytics Platforms Knowledge Bases Financial Services

Portfolio Management Investment Research Quantitative Analytics Financial Services Domain Regulated Environments Leadership

Solution Design Technical Leadership Architecture Guidance Developer Enablement Cross-functional Collaboration Stakeholder Management Key Responsibilities

Design and develop enterprise-scale Agentic AI applications and AI platform capabilities Build multi-agent workflows using Anthropic Claude, Claude Interpreter, and approved AgentCore frameworks Develop AI solutions utilizing RAG, tool calling, vector databases, embeddings, and semantic search Build reusable AI components, prompt libraries, and enterprise AI frameworks Integrate AI capabilities with CI/CD pipelines, SDLC tooling, enterprise applications, and cloud platforms Collaborate with Portfolio Managers, Research Analysts, and Quant teams to deliver AI-powered investment solutions Establish AI governance, security controls, Responsible AI practices, and reusable architecture patterns Develop AI reference architectures, documentation, implementation guides, and developer enablement materials Measure AI adoption and business impact through KPIs focused on productivity, quality, and engineering efficiency Mentor engineering teams and promote enterprise AI best practices across the organization Preferred Qualifications

Experience building enterprise AI platforms in financial services Experience with Portfolio Management, Investment Research, or Quantitative Analytics Experience integrating AI with enterprise analytics and data platforms Knowledge of Responsible AI, model governance, audit, and compliance frameworks Experience with cloud-native architectures and distributed systems