Junior AI Engineer (Pittsburgh, PA)
$80,000–$100,000 year
HybridPittsburgh, Pennsylvania, United States
Job Summary
Design, develop, test, and deploy AI and machine learning solutions, including Generative AI and Agentic AI applications using modern frameworks and cloud services. Build and maintain data pipelines, integrations, APIs, and automation workflows while configuring, fine-tuning, and evaluating models to improve performance. Collaborate with consultants, architects, and stakeholders to translate business requirements into technical solutions, contributing to documentation, workshops, and demonstrations. Participate in model training, prompt engineering, and solution validation, supporting deployment, monitoring, and troubleshooting. Stay current with emerging technologies and best practices within a fast-paced, client-focused consulting environment that may require periodic travel.
Required Qualifications
- Bachelor's degree in Computer Science, Data Science, Information Technology, Engineering, or a related field
- Understanding of machine learning concepts and AI fundamentals
- Experience with Python and common development frameworks
- Familiarity with SQL and working with structured and unstructured data
- Knowledge of REST APIs, Git, and software development best practices
- Strong analytical, problem-solving, and communication skills
- Strong communication and interpersonal skills, with the ability to present ideas clearly and build positive working relationships with team members and stakeholders
- Ability to work effectively in a fast-paced, client-focused consulting environment
- Ability to travel as required
- Only candidates legally authorized to work for any employer in the U.S on a full-time basis without the need for sponsorship will be considered
Desired Qualifications
- MBA preferred
- Exposure to Generative AI technologies such as Azure OpenAI, Anthropic Claude, or similar platforms
- Familiarity with cloud platforms such as Microsoft Azure, AWS, or Google Cloud
- Knowledge of data visualization platforms such as Power BI
- Understanding of MLOps, model deployment, and AI governance concepts
- Relevant certifications in AI, cloud, or data technologies are a plus
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