🛠 Tech Stack

💼 About This Role

You'll act as a technical enabler, partnering with business teams to accelerate AI adoption and build AI-driven solutions across the organization. You'll work on diverse use cases from greenfield builds to deploying existing prototypes, using modern AI tools and cloud platforms. This role requires adaptability and strong engineering fundamentals in an evolving environment.

🎯 What You'll Do

• Collaborate with business stakeholders to design AI-driven solutions
• Build and deploy scalable applications using Java or Python
• Design and implement cloud architectures in AWS
• Contribute to prompt engineering and workflow orchestration

📋 Requirements

• 5–8+ years of software engineering experience
• Strong proficiency in Java or Python
• Hands-on experience with AI tools like Claude, Codex, or Cline
• Experience building and deploying applications in AWS

✨ Nice to Have

• Experience with LLMs, NLP, or AI/ML workflows
• Familiarity with prompt engineering and AI orchestration frameworks
• Knowledge of Docker and Kubernetes

🎁 Benefits & Perks

• 🏖️ Remote work
• 💰 Competitive compensation (estimated)
• 🧑‍💻 Full-time contract
• 📚 Learning opportunities with modern AI tools

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Technical Phone Screen· 30 min
2. 2Coding Challenge· 60 min
3. 3Technical Interview· 45 min

🚩 Heads Up

• Role mixes AI enablement and traditional engineering which may lead to scope creep