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AI Engineer

Build a RAG assistant over 500K+ documents for 200+ analysts

Build a production RAG assistant over 500K+ documents for 200+ analysts at U.S. Bank. Develop LLM evaluation harnesses to test for hallucination, PII leakage, and prompt injection. Fine-tune LLaMA and Mistral models using supervised fine-tuning techniques like LoRA and PEFT.

Why This Role?

Build production LLM systems with real impact on 200+ analysts

Key Responsibilities

  • Build a RAG assistant over 500K+ documents for 200+ analysts
  • Develop LLM evaluation harnesses for hallucination, PII, and prompt-injection testing
  • Fine-tune LLaMA and Mistral models using LoRA and PEFT techniques
  • Work with Anthropic and OpenAI APIs for LLM integration
  • Deploy and manage ML systems using Docker, Kubernetes, and cloud platforms (AWS/Azure/GCP)

Requirements

  • Python programming
  • Experience with LangGraph and LangChain
  • Knowledge of MCP and RAG systems
  • Supervised fine-tuning using LoRA/PEFT
  • Proficiency with PyTorch, Spark, MLflow, Docker, Kubernetes
  • Experience with AWS, Azure, or GCP cloud platforms

Required Skills

pythonpytorchawsmachine-learningllmLangChainRAGLLM fine-tuningMLflow

Indonesia Context

Working Hours Overlap:
Flexible — work your own hours
See remote (USD) vs local pay →
View Original Description from HN Who is Hiring

Original description from HN Who is Hiring

Location: Dallas, TX Remote: Yes Willing to relocate: Yes (including internationally) Technologies: Python, LangGraph, LangChain, MCP, RAG, supervised fine-tuning (LoRA/PEFT), Anthropic/OpenAI APIs, PyTorch, Spark, MLflow, Docker, Kubernetes, AWS/Azure/GCP Résumé/CV: https://suneelkalva.com Email: suneel.kalva190700@gmail.com AI engineer at U.S. Bank building production LLM systems: a RAG assistant over 500K+ documents for 200+ analysts, LLM eval harnesses (hallucination, PII, prompt-injection), and fine-tuned LLaMA/Mistral models. Outside work I built and published mendrift-mcp (PyPI, listed on the official MCP Registry) an autonomous MLOps incident-response agent with an HMAC-gated approval layer, evaluated on a 19-scenario trajectory harness. Looking for applied AI / ML engineer roles building agentic systems.

Salary Context

Similar Engineering roles on LokerDollar pay around $170k/yr (range $855–1000k/yr, n=709 active listings).

Iklan

Openness not stated by employer — check the listing

Company
U.S. Bank
Salary
Job Type
full time
Location
Remote · Open worldwide
Category
Seniority
senior
Posted
Aug 5, 2026

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Frequently asked questions

Is AI Engineer at U.S. Bank a remote job?
Yes. AI Engineer at U.S. Bank is a fully remote role open to candidates worldwide.
What type of employment is AI Engineer at U.S. Bank?
This is a full time position.
How do I apply?
Click the "Apply" button on this page to go to the official application at U.S. Bank.

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