AI Engineer, Forward Deployed Engineering at Databricks (Remote, India)
Job Description
Databricks is hiring an AI Engineer for its Forward Deployed Engineering team, remote in India, to build and put into production first-of-their-kind generative AI applications for customers, using the latest techniques from Databricks’ own AI research.
At a glance
- Role: AI Engineer, Forward Deployed Engineering (AI FDE)
- Where: remote, India
- Travel: about once every 4–8 weeks to customers, as needed
- Level: graduate degree in a quantitative field, or equivalent experience
- Apply: open until filled (re-checked 11 October 2026)
About the AI forward deployed engineer role
- Develop generative AI solutions for customer problems using the latest techniques from Databricks AI research
- Own production rollouts of consumer-facing and internal generative AI applications
- Act as a trusted technical adviser to customers across many domains
- Present at conferences such as Data + AI Summit
- Work with product and engineering teams to influence priorities and the product roadmap
Databricks’ AI Forward Deployed Engineering team is a specialised, customer-facing group that delivers professional-services engagements, helping customers build and productionise first-of-their-kind AI applications and shaping long-term strategy with them.
What Databricks is looking for
- Experience building generative AI applications, such as RAG, multi-agent systems, Text2SQL and fine-tuning, with tools like Hugging Face, LangChain and DSPy
- Expertise deploying production-grade generative AI applications, including evaluation and optimisation
- Extensive hands-on data science experience with tools such as pandas, scikit-learn and PyTorch
- Production ML deployments on AWS, Azure or GCP
- A graduate degree in a quantitative field such as computer science, engineering, statistics or operations research, or equivalent practical experience
- Experience teaching or explaining technical ideas to technical and non-technical audiences
Nice to have
- Experience with the Databricks Intelligence Platform and Apache Spark on large distributed datasets
Pay and location
Databricks’ posting does not state pay for this India role. Details of regional benefits are linked from the posting. The role is remote within India.
How to apply
Apply through the official Databricks job posting. Databricks’s posting does not give a closing date, so the role is open until filled; ResearchJobs.in will re-check this listing on 11 October 2026. Check the posting for location and work-authorisation details before you apply.
See all our artificial intelligence jobs, or browse more research jobs on ResearchJobs.in.
Hiring institution: Databricks
Official advertisement: databricks.com
How to prepare for this application
- Evaluation first: be ready to explain how you evaluate a RAG or agent system, including test sets, LLM-as-judge and human review.
- Build a demo: a Text2SQL or RAG project on real data, with a short write-up of what failed, is strong evidence.
- DSPy and fine-tuning: know when prompt optimisation is enough and when fine-tuning pays off.
- Customer stories: prepare an example of taking a GenAI prototype into production for a stakeholder.
- Spark basics: brush up on distributed data processing, since customer data often lives in Spark.
About Databricks
Databricks describes itself as the Data and AI company. More than 20,000 organisations worldwide, including adidas, AT&T, Mastercard and about 70% of the Fortune 500, use the Databricks Data + AI Platform to build and scale data and AI applications, analytics and agents. The company is headquartered in San Francisco and hires engineers and customer-facing technical staff in India.
