Senior Fullstack AI/ML Engineer

Minneapolis, MN, US • Posted 1 hour ago • Updated 40 minutes ago
Full Time
Part Time
On-site
Fitment

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Job Details

Skills

  • AI/ML

Summary

Skill Rating

Agentic Orchestration

Production RAG

Asynchronous UI/UX

AI Observability

AI Security/Guardrails

Role Overview

We are looking for a Senior Fullstack Engineer who views LLMs as a component of a larger system, not a standalone solution. You will build agentic workflows where the challenge isn t just talking to an AI, but managing state, ensuring reliability, and creating seamless human-in-the-loop interfaces.



Key Responsibilities

  • Agentic Orchestration:
    Design and implement complex chains and graphs (using LangGraph, LangChain, or equivalent) that manage multi-turn reasoning and tool-calling.
  • System Architecture:
    Develop the connective tissue between LLMs, Vector Databases (e.g., Pinecone, Weaviate), and legacy relational databases.
  • Production UX:
    Build React-based interfaces that handle asynchronous streaming, partial state updates, and Human-in-the-loop (HITL) correction UI.
  • Observability & Evaluation:
    Implement LLM-Ops patterns tracing requests (LangSmith/Arize), monitoring for hallucinations, and managing prompt versioning as code.
  • Secure Integration:
    Architect secure API gateways that handle rate-limiting, token-cost management, and PII masking before data reaches an LLM.



Technical Requirements

  • 5+ Years Professional Engineering:
    Deep proficiency in Python (FastAPI/Pydantic) and at least one other ecosystem (Java/Spring or .NET).
  • Modern Frontend:
    3+ years of React/TypeScript, specifically handling complex state management (Redux/Zustand) and real-time data (WebSockets/SSE).
  • Orchestration Mastery:
    Proven experience building agentic workflows you must be able to explain how to handle loops, memory persistence, and tool-error recovery.
  • AI Patterns:
    Practical experience with RAG (Retrieval Augmented Generation) beyond the tutorial level handling chunking strategies, embedding drift, and re-ranking.
  • DevOps/SDLC:
    Strong Git hygiene, CI/CD experience, and a test-first mentality for both traditional code and LLM prompts.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90884655
  • Position Id: OOJ - 8411-7436-1775857798
  • Posted 1 hour ago
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