🛠 Tech Stack

💼 About This Role

You'll build LLM and Agentic applications for internal projects, from client-facing demos to cutting-edge R&D initiatives. You'll take part in the full cycle: ideation, implementation, testing, and evaluation, collaborating with AI Engineers across levels. This role offers hands-on experience preparing you for commercial client engagements.

🎯 What You'll Do

• Build LLM and Agentic applications
• Brainstorm ideas and implement solutions
• Participate in full development cycle
• Collaborate with other AI Engineers

📋 Requirements

• Strong fundamentals in software development and problem-solving
• Experience working in a Scrum team and writing production code
• Experience using AI and Agentic tools for coding
• Knowledge of SDLC process

✨ Nice to Have

• Familiarity with cloud infrastructure (AWS/GCP/Azure)
• Knowledge of LLM Python packages: LangChain, LangGraph, LangFuse, vector DBs
• Knowledge of ML Python packages: PyTorch, scikit-learn

🎁 Benefits & Perks

• 🌍 International projects
• 🏢 In-office, hybrid, or remote flexibility
• 🏥 Medical healthcare
• 📚 Ongoing learning reimbursement
• 🎁 Referral bonuses

📨 Hiring Process

Estimated timeline: 1-3 weeks · AI estimate

1. 1Recruiter Call· 30 min
2. 2Technical Interview· 60 min
3. 3Take-home Assignment· 2 hours