Databricks AI Engineer – FDE Hiring 2026 | Remote – India

Databricks AI Engineer – FDE hiring is active on the company's official careers system. Databricks is hiring for AI Engineer – FDE in Remote – India. The official listing focuses on production GenAI applications, RAG, multi-agent systems, LLMOps, machine learning, and customer-facing technical delivery. This guide uses the live employer listing and links directly to it.

The position is based in Remote – India. Full-time employment. Candidates should compare their recent work with the verified requirements before applying.

Databricks AI Engineer – FDE: Quick Facts

Company	Databricks
Position	AI Engineer – FDE
Location	Remote – India
Employment	Full-time employment
Published or timing note	Official listing verified active on 15 June 2026
Application deadline	No closing date is stated; apply while the official listing remains active

Salary and Employment Context

The official listing does not publish an India salary range. Candidates should rely on the written offer for base pay, variable pay, equity, benefits, payroll entity, working hours, and notice terms.

The current role is described as full-time employment. The location information is Remote – India. Ask the recruiter to confirm office attendance, shift allowances, equipment, leave, and probation before accepting.

Who Can Apply?

The official listing is the eligibility source. The points below summarise the closest applicant profile without adding an unlisted degree, certification, or guarantee.

• The official listing asks for at least five years of relevant data-science experience, preferably including consulting work.
• Candidates should have built GenAI applications such as RAG, multi-agent systems, Text2SQL, or fine-tuned models.
• Hands-on experience with production machine learning on AWS, Azure, or GCP is required.
• A graduate degree in a quantitative discipline or equivalent practical experience is expected.
• Applicants should be able to explain technical concepts to both technical and non-technical audiences.

What Does a AI Engineer – FDE Do?

The work is practical and outcome-focused. A strong application should show where the candidate performed similar tasks, improved reliability, or solved a measurable problem.

• Build and productionise customer GenAI applications using current Mosaic AI techniques.
• Own production rollouts for customer-facing and internal AI applications.
• Act as a trusted technical adviser across different customer domains.
• Work with product and engineering teams to influence priorities and the product roadmap.
• Share technical knowledge through customer sessions, internal expertise, and industry events.

Skills to Highlight in the Resume

Use evidence instead of a long keyword list. Mention the system, your decision, the tool used, and the result. Keep confidential customer or employer information out.

• RAG, multi-agent systems, Text2SQL, fine-tuning, evaluation, and LLM application optimisation.
• Python data and ML tools such as pandas, scikit-learn, PyTorch, Hugging Face, LangChain, or DSPy.
• Production cloud deployment on AWS, Azure, or Google Cloud.
• Customer consulting, solution design, technical communication, and production ownership.
• Databricks and Apache Spark experience is preferred but not stated as mandatory.

Application Fit Checklist

Before applying, compare the role with your last two years of work. A smaller number of strong matches is more useful than a resume filled with unrelated tools.

• Place the most relevant role, project, or production result in the top third of the resume.
• Quantify scale, reliability, delivery speed, customer impact, or quality improvement where evidence exists.
• State your current location and genuine availability for the listed office, remote, shift, or time-zone pattern.
• Remove skills that you cannot explain through a project, incident, design choice, or working example.
• Check that dates, titles, links, and contact details are current before submitting.

How to Apply on the Official Site

Open the official Databricks job page, read the latest description, and check that the role still accepts applications. Tailor the resume to the verified work.

• Use an email address and mobile number that you check regularly.
• Upload a concise resume with relevant projects, impact, dates, and technologies.
• Answer screening questions accurately and do not inflate years of experience.
• Save the confirmation email or application reference for later follow-up.

Do not pay for an interview, referral, offer letter, or application link. Verify recruiter messages against the employer domain and the official job page.

Preparation Before the Interview

Start with the job description, then prepare short examples that match its main responsibilities. Use a clear situation, action, and result instead of memorised answers.

• Prepare one production GenAI case study covering evaluation, safety, deployment, monitoring, and business outcome.
• Review trade-offs among retrieval, fine-tuning, agents, latency, cost, and answer quality.
• Be ready to explain how you handled a customer requirement that was incomplete or changed during delivery.

Check the role page again before the interview because status, location, and process can change. The employer decides shortlisting, assessment stages, compensation, and selection.

Frequently Asked Questions

Is the salary published?

The India listing does not publish a salary range. Confirm every compensation component in the written offer.

Where is the job based?

The official listing gives the location as Remote – India.

Was the listing checked?

Yes. The official employer page was active on 15 June 2026.

Should applicants pay a fee?

No. Never pay for a private job application, interview, referral, or offer letter.

What is the official source?

The source is the official Databricks recruitment page at databricks.com. Use that page for the current status.