AI Engineer - FDE (Forward Deployed Engineer)

Gomyneed Private Limited; India; Remote; INR 1,500,000 - 2,500,000; Full time

Job summary

Databricks in India is hiring an AI Engineer - FDE (Forward Deployed Engineer) for remote work. You will develop GenAI solutions and own production rollouts of GenAI apps for customers and internal use.

You will serve as a trusted technical advisor across domains, present at Data + AI Summit, and collaborate with product and engineering teams to shape the roadmap.

Qualifications

• Experience building GenAI applications including RAG, multi-agent systems, Text2SQL and fine-tuning.
• Hands-on data science experience with pandas, scikit-learn, PyTorch.
• Experience deploying production-grade machine learning on AWS, Azure, or GCP.

Responsibilities

• Develop cutting-edge GenAI solutions and production rollouts of GenAI apps.
• Serve as a trusted technical advisor to customers across domains.
• Collaborate with product and engineering to influence priorities and roadmap.
• Present at conferences such as Data + AI Summit as a thought leader.

Skills

GenAI development

RAG

Multi-agent systems

Text2SQL

Fine-tuning

HuggingFace

LangChain

DSPy

Production-grade ML deployments

Pandas

Scikit-learn

PyTorch

AWS

Azure

GCP

Tools

HuggingFace

LangChain

DSPy

Job description

Databricks Remote - India Remote

Remote Remote AI / ML

About this role

Databricks is hiring an AI Engineer - FDE (Forward Deployed Engineer) (Remote - India). This is an AI / ML role listed on the official Databricks careers site.

Key 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 as a recognized thought leader
• Collaborate with product and engineering teams to influence priorities and shape the product roadmap

Requirements:

• Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL and fine-tuning, with tools such as HuggingFace, LangChain, and DSPy
• Expertise in deploying production-grade GenAI applications, including evaluation and optimization
• Extensive hands-on data science experience with pandas, scikit-learn, PyTorch, etc.
• Experience building production-grade machine learning deployments on AWS, Azure, or GCP

Salary: Competitive (not disclosed)

Job Type: Remote