Senior Generative AI / Machine Learning Engineer | Pittsburgh, PA; Strongsville, OH; Dallas, TX - Local only | Genuine Visa

[Ashish Kumar]

Job Description

EC: PNC 

Role: Senior Generative AI / Machine Learning Engineer

Contract Onsite – 5 Days per Week

Pittsburgh, PA; Strongsville, OH; Dallas, TX - Local to either locations only 

LinkedIn is a must. 

 

Job Summary

Seeking a Senior Generative AI/Machine Learning Engineer with strong experience developing and implementing production-ready generative AI, LLM, and RAG solutions.

The ideal candidate should have hands-on experience with machine learning solution design, model orchestration, production deployment, model governance, risk management, and regulatory compliance.

 

Must-Have Skills

·         Generative AI

·         Large Language Models

·         GPT 5.x

·         LangChain

·         RAG

·         RAGAS

·         Machine Learning Model Design

·         Model Orchestration

·         Production AI Implementation

·         Model Governance

·         Risk Management

·         Regulatory Compliance

 

Nice-to-Have Skills

·         LangGraph

·         Azure AI Search

·         Azure AI Agent Service

·         Azure Document Intelligence

·         Azure Content Safety

·         Microsoft Agent Framework

·         Microsoft Foundry

·         Redis

·         Elasticsearch

·         Arize

·         DeepEval

·         ChromaDB

·         Financial Services Experience

 

Key Responsibilities

·         Design, build, orchestrate, and implement production-ready machine learning and generative AI solutions.

·         Develop scalable applications using LLMs, LangChain, and RAG.

·         Support machine learning models deployed in production applications.

·         Gather technical and business requirements from internal stakeholders.

·         Coordinate release planning and provide hands-on support during deployments.

·         Ensure AI solutions meet model governance, risk management, and regulatory requirements.

·         Collaborate with data scientists, software engineers, and business teams.

·         Troubleshoot production issues and improve model performance and scalability.

 

Soft Skills

·         Excellent Written Communication

·         Excellent Verbal Communication

·         Team Collaboration

·         Problem-Solving

·         Stakeholder Management

 

Screening Questions

1. What is RAG, what are its benefits, and which use cases is it commonly used for?

2. Explain the technical steps required to implement a production-ready RAG solution.

3. Describe a scalable AI or machine learning solution you developed, including the architecture, services, and interactions between components.

 

Thanks and Regards,

Ashish Kumar

Senior Technical Recruiter | Sibitalent Corp

✉️ ashish...@sibitalent.com