Software Engineer Senior- AI Engineer

PNC

Closes tomorrow

Quick summary

Work type
On-site
Location
Pittsburgh, PA · Dallas, TX
Posted
2 days ago
Closes
Jun 5, 2026 (soon)

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Salary context

How this pay compares to similar roles

Similar $195k
$132k most similar roles pay here $247k

This listing doesn't post a salary. Most similar roles pay $154,850–$235,750.

Based on 240 similar postings.

Employer

About PNC

PNC is one of the largest diversified financial services institutions in the U.S., based in Pittsburgh, PA, it provides retail banking, corporate banking, and asset management.

PNC currently has 75 open roles on FindRole.

Listed pay typically runs $86,250–$165,600 across 7 roles with salary data.

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At a glance

TL;DR · Software Engineer Senior- AI Engineer

As a Senior AI Engineer at PNC’s Technology organization, you will join a dynamic team in Dallas or Pittsburgh to develop and deploy large language model (LLM)-powered systems. Your responsibilities include fine-tuning LLMs using techniques like PEFT and LoRA, optimizing models with advanced prompting strategies, and integrating them into real-world applications such as RAG pipelines and conversational agents. You will also manage the end-to-end lifecycle of machine learning projects, from training to deployment, ensuring performance optimization through frameworks like vLLM and Triton, and adhering to responsible AI practices in a regulated financial services environment. Essential skills include expertise in Python, PyTorch/TensorFlow, HuggingFace Transformers, and vector databases, alongside experience with production-quality engineering and scalability considerations.

What you'll do

  • - Fine-tune large language models using techniques like PEFT, LoRA/QLoRA, and instruction tuning.
  • - Optimize LLMs for accuracy and efficiency through advanced sampling strategies and prompt engineering.
  • - Integrate LLMs into real-world systems, including RAG pipelines and multi-turn conversational agents.
  • - Serve models in production environments using modern inference frameworks like vLLM and Triton.
  • - Manage the full lifecycle of machine learning projects from training to deployment and monitoring.

What we're looking for

  • - Extensive experience in fine-tuning and optimizing large language models using techniques like PEFT, LoRA/QLoRA.
  • - Deep expertise in deploying LLMs into production environments with RAG pipelines and API orchestration.
  • - Proficiency in modern inference frameworks (vLLM, TGI, Triton) for model serving and performance optimization.
  • - Proven ability to manage the full ML lifecycle from training to deployment and monitoring.
  • - Strong programming skills in Python and experience with PyTorch/TensorFlow and HuggingFace Transformers.

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