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

Candidates must have a Masters in AI in Civil Engineering or in Computer Science with 0-2 years of relevant experience.
Candidates 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.

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.

AI Specialist

Key skills