Your career compass awaits
Create a free account to unlock
- ✓ See how you match this role
- ✓ AI resume tailored to this specific job
- ✓ Inside Track Companion — find your insider contact
- ✓ Skills gap analysis and upskill plan
- ✓ Interview prep kit for this role
- ✓ Relocation concierge — salary, tax, cost of living
Free — no credit card required
Databricks
✓ Verified SponsorConfirm Application
Are you applying to ?
We'll track this in your dashboard as Applied.
AI Engineer - FDE (Forward Deployed Engineer)
ICT
Company shared salary
NA
Market rate
₹450,000–₹800,000/mo (₹5,400,000–₹9,600,000/yr)
Based on similar roles (title + domain + location).
About the Company
Databricks is the Data and AI company. More than 20,000 organizations worldwide - including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 - rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.
Responsibilities
- ● Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems
- ● Own production rollouts of consumer and internally facing GenAI applications
- ● Serve as a trusted technical advisor to customers across a variety of domains
- ● Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally
- ● Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap
Requirements
- ● Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy
- ● Expertise in deploying production-grade GenAI applications, including evaluation and optimizations
- ● Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.
- ● Experience building production-grade machine learning deployments on AWS, Azure, or GCP
- ● Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience
- ● Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike
- ● Passion for collaboration, life-long learning, and driving business value through AI
- ● Experience using the Databricks Intelligence Platform and Apache Spark to process large-scale distributed datasets (Preferred)
- ● Willing to travel once every 4-8 weeks to see customers (as needed)
- ● Language Proficiency: Native-level fluency in Korean and professional working proficiency in English (both written and verbal)
⚡ Full Resume Sandbox Canvas