AI Full Stack Engineer

Wavestone • Pittsburgh, PA

23h • $90,000 - $120,500 • Hybrid

About The Position

Wavestone is seeking a motivated AI Full Stack Engineer to join its growing AI & Data Team. The role involves working with consultants, architects, data scientists, and AI engineers to design, develop, and deploy AI solutions that address complex business challenges. The engineer will contribute to enterprise AI, Generative AI, Agentic AI, and data-driven solutions across multiple industries, with hands-on exposure to modern AI technologies, cloud platforms, automation tools, and large-scale enterprise environments.

This full-time role is based in Wavestone’s Pittsburgh office, and candidates must reside within commuting distance of the North Shore office. Work arrangements are hybrid, with office attendance 2–3 days per week when not working at a client site. Work schedules may vary according to client and business needs, and periodic travel to client sites or a designated hub office may be required.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Information Technology, Engineering, or a related field.
• At least 1 year of experience in software development, data engineering, AI, or related technical fields, gained through internships or professional roles.
• 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 and problem-solving skills.
• Strong communication and interpersonal skills, including the ability to present ideas clearly and build positive working relationships with team members and stakeholders.
• Foundational business acumen and ability to connect technology and data concepts to business needs and outcomes.
• Ability to work effectively in a fast-paced, client-focused consulting environment.
• Ability to travel as required.
• Must be legally authorized to work for any employer in the U.S. on a full-time basis without sponsorship.
• Must reside within commuting distance of the Pittsburgh North Shore office.

Nice To Haves

• Master’s degree.
• Exposure to Generative AI technologies such as Azure OpenAI, Anthropic Claude, or similar platforms.
• Familiarity with cloud platforms such as Microsoft Azure, AWS, Snowflake, Databricks, 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.

Responsibilities

• Support the design, development, testing, and deployment of AI and machine learning solutions.
• Assist in building Generative AI and Agentic AI applications using modern AI frameworks and cloud services.
• Develop and maintain data pipelines, integrations, APIs, and automation workflows.
• Collaborate with senior leaders, solution architects, and client stakeholders to understand business requirements and translate them into technical solutions.
• Configure, fine-tune, and evaluate AI models to improve performance and business outcomes.
• Participate in data preparation, model training, prompt engineering, and solution validation activities.
• Contribute to technical documentation, implementation guides, and client deliverables.
• Support solution deployment, monitoring, troubleshooting, and performance optimization.
• Stay current with emerging AI technologies, industry trends, and best practices.
• Participate in workshops, demonstrations, and knowledge-sharing sessions with internal teams and clients.

Benefits

• Bonus eligibility.
• 401(k) Savings Plan with Company Match.
• Medical, dental, and vision coverage.
• Employee Stock Options Plan (ESOP).
• 35 paid time off days, inclusive of personal holidays.
• Four months of parental leave for the birthing parent and two months for the supporting parent.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level