AI Engineer

United States·Pittsburghmid

Machine Learning EngineerData

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Quick Summary

Key Responsibilities

Assist in the design, development, testing, and deployment of AI and machine learning solutions, building and evaluating models using both structured and unstructured data.

Requirements Summary

Master's degree in Artificial Intelligence, Computer Science, Data Science, Machine Learning, Software Engineering, or a related quantitative technical discipline.

Technical Tools

Machine Learning EngineerData

AI Engineer

Location: Hybrid / Onsite (Preferred)

Position Type: Full-Time / Entry-Level

Role Summary

We are seeking an AI Engineer who is passionate about artificial intelligence and eager to launch their career building innovative AI solutions. This is an excellent opportunity for a recent master's graduate who has a strong technical foundation, enjoys solving complex problems, and is excited to learn from experienced engineers in a collaborative environment.

The ideal candidate is intellectually curious, highly motivated, and thrives as part of a team. In this role, you will work alongside data scientists, software engineers, and business stakeholders to develop, test, and deploy AI-powered applications that solve real-world business challenges.

Key Responsibilities

Model & Solution Development: Assist in the design, development, testing, and deployment of AI and machine learning solutions, building and evaluating models using both structured and unstructured data.
GenAI & LLM Integration: Develop applications leveraging Large Language Models (LLMs) and Generative AI technologies, creating effective prompts, evaluating model outputs, and continuously improving AI application performance.
RAG & Agent Support: Support the engineering architectures and emerging AI agent framework solutions.
Data Preparation & Engineering: Prepare, clean, format, and analyze complex datasets required for model training, validation, and evaluation.
Cross-Functional Collaboration: Partner closely with senior engineers to integrate AI capabilities into enterprise applications and participate in standard Agile ceremonies (sprint planning, daily standups, retrospectives, and peer code reviews).

Required Qualifications

Education: Master's degree in Artificial Intelligence, Computer Science, Data Science, Machine Learning, Software Engineering, or a related quantitative technical discipline.
Core Technical Foundation: Strong understanding of foundational machine learning concepts and core AI principles.
Framework Knowledge: Familiarity with libraries and frameworks such as PyTorch, TensorFlow, Scikit-learn, LangChain, or similar tooling.
GenAI & LLM Familiarity: Conceptual and practical understanding of Large Language Models, prompt engineering, and Generative AI paradigms.
Software Engineering Principles: Knowledge of REST APIs, modular code design, and version control systems (Git).

Preferred Qualifications

Academic thesis work, capstone projects, or personal repositories involving LLMs, AI agents, RAG, or Generative AI.
Exposure to cloud platforms such as Microsoft Azure, AWS, or Google Cloud.
Hands-on experience using vector databases (e.g., Azure AI Search, Pinecone, pgvector) or embedding models.
Working knowledge of SQL and foundational data engineering concepts.
Knowledge / working experience with Claude, Microsoft Enterprise Ai Stack

About Techstra Solutions

Techstra Solutions is a certified woman-owned (WBENC) management consulting firm specializing in strategy, technology, and implementation services for large organizations undergoing digital and talent transformation. Our experienced team partners with clients to co-create innovative solutions in applications, data, AI, and automation that accelerate measurable, sustainable change. From advisory consulting through technical execution, we are dedicated to driving world-class business solutions that fit your strategic requirements and deliver results. For more information: www.techstrasolutions.com

Equal Employment Opportunity Statement

Techstra Solutions is an equal opportunity employer. The Company makes its decisions on merit, and its policy of equal opportunity prohibits discrimination in all phases of the employment process, including, but not limited to, recruitment, hiring, promotion, selection, transfer, demotion, layoff, termination, compensation, benefits, and other terms and conditions of employment. The policy of equal opportunity applies without regard to race, color, creed, religion, gender, sexual orientation, gender identification, pregnancy, marital status, national origin, ancestry, age, disability that can reasonably be accommodated without undue hardship, military status, veteran status, genetic predisposition or carrier status, alienage or citizenship, domestic partnership status, arrest or conviction record, status as a victim of domestic violence, or any other protected categories under federal, state, or local law. The Company also prohibits discrimination or harassment based upon the perception that a person has, or is associated with a person who has, any of these characteristics.

Candidate Data Privacy and Use:
Techstra Solutions respects the privacy of our candidates. By submitting your application, you acknowledge that Techstra Solutions may collect, store, and process the information you provide for recruiting, candidate evaluation, and consideration for current or future opportunities. Techstra may use applicant tracking systems, analytics, automation, and AI-assisted tools to support these activities. Candidate information will be protected using appropriate safeguards and retained or deleted in accordance with applicable law and Techstra’s data retention practices.