🛠 Tech Stack

💼 About This Role

You'll define the end-to-end architecture for AI/ML and Gen AI systems, including data pipelines and MLOps. You'll serve as a strategic advisor to clients, leading solution design discussions and representing the organization in client-facing interactions. You'll also evaluate emerging technologies and mentor technical teams.

🎯 What You'll Do

• Define end-to-end architecture for AI/ML and Gen AI systems.
• Lead integration of Generative AI into enterprise applications.
• Design RAG systems with vector databases.
• Mentor technical teams and guide AI/ML engineers.
• Evaluate build-vs-buy decisions and benchmark AI tools.

📋 Requirements

• Master's degree in Computer Science or related field with 15+ years industry experience.
• Strong grasp of AI architecture patterns (RAG, Agent AI, MCP).
• Deep experience with Python and ML libraries (PyTorch, TensorFlow).
• Expertise in MLOps (MLflow, Kubeflow, SageMaker Pipelines).

✨ Nice to Have

• Understanding of Software Product Development and AI/ML integration.
• Experience with huge datasets in production.
• Published research in top-tier conferences or journals.

🎁 Benefits & Perks

• 🏖️ Unlimited PTO
• 🏥 100% funded medical and dental coverage for employees and dependents.
• 💼 Company paid disability and life insurance
• 👶 Generous Parental Leave

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 60 min