Artificial Intelligence Engineer

Murtech Staffing & Solutions; Pittsburgh (Allegheny County); On-site; USD 120,000 - 160,000; Full time

Job summary

A technology staffing firm in the United States seeks an experienced AI Engineer responsible for designing, building, and deploying generative AI solutions. This role requires a minimum of 10 years in software engineering or data science, with hands-on experience in generative AI implementations in enterprise settings. Ideal candidates should possess a Bachelor's degree in a relevant field and demonstrate proficiency in Python, Java, and MLOps. This position supports the advancement of innovative AI strategies to drive operational efficiency.

Qualifications

• 10 years in software engineering, data science, or related technical roles.
• 1-2 years of hands-on experience with generative AI solutions in enterprise.
• Strong proficiency in Python, Java, Shell, and Linux.

Responsibilities

• Design and build generative AI solutions.
• Collaborate with stakeholders to enhance AI strategy.
• Lead end-to-end development of custom AI solutions.

Skills

Software engineering

Data science

MLOps

Backend development

Generative AI

Production deployment

Education

Bachelor’s degree in Artificial Intelligence or Data Science

Tools

Python

Java

Linux

Node.js

APIs

GitHub Agent

Snowflake AI

AWS Bedrock

Job description

The AI Engineer will be responsible for designing, building, deploying, certifying, and maintaining production-grade generative AI and agentic business and technology solutions.

Advance the organization’s AI strategy with a strong emphasis on identifying high- value opportunities, defining technical roadmaps, prioritizing use cases, and advocating for responsible, extensible and scalable IA adoption.

Collaborate with business and IT stakeholders to deeply understand current state processes and workflows in order to deliver AI powered solutions that deliver high-impact solutions driving measurable operational efficiency and transformation.

Lead the full stack end-to-end development of custom AI solutions leveraging knowledge of MLOps, context management, and CICD practices to orchestrate AI agents and technology (e.g., Copilot AI, Snowflake AI, GitHub AI, AWS Bedrock, etc).

Design, create, and implement reusable AI frameworks, prompt templates, reference architecture, and reference architectures to accelerate AI solution delivery across teams.

Required Experience

• Ten years of overall experience in software engineering, data science, or related technical roles, with strong proficiency in coding, business and system design, and production deployment.
• A minimum of 1-2 years of hands-on experience building and deploying generative AI solutions in enterprise environments
• Bachelor’s degree in Artificial Intelligence, Data Science, or related field or an equivalent combination of education and work experience
• Industry certification or eligibility preferred
• Proficient in backend development using AI algorithms. Python, Java, Shell, Linux or Node.js, MCP, APIs, knowledge graphs, vector databases, & data structures
• Demonstrated knowledge of MLOps, model lifecycle, and (CI/CD) practices.
• Designed and implemented full-stack AI solutions using modern MLOps and AI frameworks (e.g RAG) and platforms such as GitHub Agent, Snowflake agents, Copilot Studio and AWS Bedrock.
• Created reusable frameworks, prompt templates, and reference architectures to accelerate AI solution delivery across teams.