AI Specialist #2910

Wade Trim

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profile Job Location:

Pittsburgh, PA - USA

profile Monthly Salary: Not Disclosed
Posted on: 20 hours ago
Vacancies: 1 Vacancy

Job Summary

What We Offer:
Our excellent salary and benefits package includes medical dental vision life insurance short and long-term disability coverage education reimbursement 401(k) performance bonuses and an employee stock program. Employee Resource Groups and Programs offered include the Young Professionals Group Women at Wade Trim Diversity Equity and Inclusion Professional Development Leadership Development Rotation Program Mentor Program Sustainability Program and Wellness Program.
Position Description:
We are looking for an AI Engineer to join our Information Technology Team in our Pittsburgh office. Candidates must have a Bachelors or Masters degree in Computer Science Engineering or related field. Equivalent practical experience considered. Candidates must have 3 years of relevant must be proficient in Python R or similar programming languages. Candidates must have hands-on experience with machine learning algorithms deep learning techniques and AI systems. Candidates must also be self-motivated work well with others and have excellent writing organizational and communication skills. A flexible hybrid-remote work schedule is available after 30 days of employment.

Typical responsibilities include:

AI Product & System Development (Primary Focus)

  • Design build and maintain end-to-end AI-powered applications
  • Apply GenAI LLMs and RAG pipelines to real-world engineering problems
  • Integrate AI models into internal tools platforms and workflows
  • Build and maintain backend services and APIs supporting AI functionality
  • Ensure AI systems are reliable performant and usable in production

ML / CV Collaboration & Application (Secondary Focus)

  • Work with ML and CV models developed internally or externally
  • Understand model inputs outputs limitations and failure modes
  • Assist with light model tuning evaluation or data preparation when needed
  • Collaborate closely with research-focused AI engineers on model integration

Deployment & Operations

  • Deploy AI systems to cloud environments (Azure preferred)
  • Monitor system performance latency and errors
  • Iterate solutions based on user feedback and real usage

Collaboration & Communication

  • Work cross-functionally with AI researchers full-stack engineers and domain experts
  • Communicate technical concepts clearly to non-AI stakeholders
  • Document system designs workflows and operational guidelines
Maintain a safe working environment

Education:

  • Bachelors or Masters degree in Computer Science Engineering or related field (Equivalent practical experience considered)

Skills/Experience:

  • 3 years of experience.

Core Skills

  • Strong proficiency in Python
  • Experience building and deploying AI-powered applications
  • Hands-on experience with LLMs / GenAI systems
  • Backend/API development experience (Fast API Flask or similar)
  • Solid understanding of machine learning fundamentals
  • Working knowledge of computer vision concepts (not research-level)

Cloud & Systems

  • Experience with cloud platforms (Azure AWS or GCP)
  • Familiarity with Docker and production environments
  • Experience working with document-based or visual data (PDFs images) is a plus

Preferred Qualifications:

  • Experience with RAG frameworks (LangChain LangGraph LlamaIndex)
  • Vector databases and embeddings
  • Exposure to ML/CV workflows (OpenCV PyTorch TensorFlow)
  • Basic frontend experience (React or similar)
  • Experience building internal tools or platforms
About Wade Trim:
Wade Trim is committed to maximizing the value of infrastructure investments. Weve been solving complex engineering challenges for nearly a century. We customize our work approach to fit each project using a collaborative friendly style to deliver solutions our clients can stand behind.
Our supportive culture recognizes and strives to fulfill collective client company and individual needs. Mentoring and building skills of Wade Trim staff is a priority. Frequent interaction among staff is encouraged company leadership is easily accessible and opportunities are provided for staff to help shape the firms future through strategic planning. Work/life balance is supported through a flexible hybrid work schedule that brings team members together in the office at least two days a week and connects them virtually when working from home.
To solve our clients toughest challenges weve devoted ourselves to delivering innovative solutions. Our Office of Applied Technology (OAT) is dedicated to seeking new technologies or ways to apply existing technologies to enhance value to our clients and positively impact communities. All staff are encouraged to share ideas and suggestions for innovative technologies or processes to adopt. This open-minded approach enables us to advance technology foster innovation and stay ahead of our clients needs.
Wade Trims success is shared by the employees that make it happen. Since our beginning our firm has been 100% employee owned. This cultivates an ownership mindset that benefits our work approach collaborative culture and ability to deliver client solutions. We believe employee ownership drives the sustainability and growth of our firm and provides all our employees with opportunities for financial success.
If you are looking for a challenging and rewarding career in a friendly environment please submit your resume by visiting the Careers section of our website at Trim is an Affirmative Action/Equal Opportunity Employer.

Required Experience:

IC

What We Offer:Our excellent salary and benefits package includes medical dental vision life insurance short and long-term disability coverage education reimbursement 401(k) performance bonuses and an employee stock program. Employee Resource Groups and Programs offered include the Young Professional...
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At Wade Trim, we are committed to maximizing the value of your infrastructure investment. For nearly a century, we’ve been solving complex engineering challenges to create stronger communities.

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