Hiring for: A US-based, AI-first data solutions company founded by seasoned technology leaders.

Role: Forward Deployed Engineer - Databricks and Cursor- Gurgaon - Immediate Joiner

Positions: 1

Experience: 4 to 6 years

Location(s): Gurgaon

Type: On-site / Permanent

Salary: 20- 25 LPA (Based on the fitment)

Notice Period: Immediate to 15 days

About the Role

We are looking for a Forward Deployed Engineer with strong hands-on experience in Databricks and AI-assisted software development using Cursor . The role is suited for an engineer who can work directly with clients and internal teams to understand business problems, rapidly build solutions, and take them from prototype to production .

The ideal candidate should have strong expertise in Python, SQL, Databricks, PySpark, data engineering, APIs, and modern AI-assisted development workflows , along with excellent problem-solving and client-facing skills.

Key Responsibilities:

Forward Deployed Engineering

- Work directly with clients and stakeholders to understand business and technical requirements.
- Translate business problems into scalable technical and data solutions.
- Rapidly prototype, test, iterate, and productionize solutions.
- Collaborate with engineering, data, AI, and delivery teams to implement customer solutions.
- Troubleshoot production issues and continuously improve deployed solutions.
- Act as a technical bridge between clients and internal engineering teams.

Databricks & Data Engineering

- Design and develop scalable data solutions using Databricks, PySpark, Python, and SQL .
- Build and optimize ETL/ELT and data processing pipelines.
- Work with Databricks Lakehouse, Delta Lake, Unity Catalog, and Databricks Workflows .




- Develop data ingestion and transformation pipelines for structured and semi-structured data.
- Optimize Databricks workloads for performance, scalability, reliability, and cost.
- Integrate Databricks with databases, APIs, cloud platforms, and enterprise applications.

Cursor & AI-Assisted Development

- Use Cursor and AI-assisted development workflows to accelerate software development, debugging, refactoring, and documentation.
- Effectively use AI coding assistants to understand existing codebases and develop new features.
- Apply appropriate engineering judgment to review, validate, test, and secure AI-generated code .
- Use AI-assisted development for rapid prototyping and proof-of-concept development.
- Work with up-to-date AI/LLM APIs and tools where required for customer solutions.
- Stay current with emerging AI-assisted software engineering practices.

Production & Deployment

- Develop production-ready applications, APIs, and data pipelines.
- Work with Git, CI/CD, APIs, containers, and cloud environments.
- Monitor application and pipeline performance and resolve production issues.
- Ensure solutions meet requirements for scalability, security, reliability, and maintainability.
- Collaborate with Data Scientists and ML Engineers to integrate AI/ML capabilities into production systems.

Required Skills & Experience:

- 4+ years of experience in Software Engineering,



Data Engineering, AI Engineering, or a related field.
- Strong hands-on experience with Databricks .
- Strong proficiency in Python, PySpark, and SQL .
- Experience with Delta Lake and Lakehouse architecture .
- Experience building production-grade data pipelines.
- Hands-on experience with Cursor or similar AI-powered coding assistants .
- Strong understanding of REST APIs and system integrations.
- Experience working with cloud platforms such as AWS, Azure, or GCP .
- Strong debugging, problem-solving, and analytical skills.
- Excellent communication and client-facing abilities.

Preferred Skills

- Experience with Databricks Unity Catalog, Workflows, and MLflow .
- Experience with Generative AI / LLM applications.
- Knowledge of Claude, OpenAI, Azure OpenAI, or other LLM platforms .
- Experience with RAG, vector databases, embeddings, or AI agents.
- Experience with Docker, Kubernetes, and CI/CD.
- Experience in a consulting, customer-facing engineering, or professional services environment.
- Exposure to Agile/Scrum methodologies.

Key Competencies

- Strong problem-solving and ownership mindset
- Ability to work in ambiguous and fast-paced environments.
- Strong client/stakeholder management skills.
- Ability to understand business requirements and convert them into technical solutions.
- Strong communication and presentation skills.
- Ability to rapidly learn new technologies and tools.
- Comfortable working with AI-assisted development while maintaining high engineering standards.

Education

- Bachelor's or master’s degree in computer science, Information Technology, Engineering, Data Science, or a related discipline .

📌 Forward Deployed Engineer (Cursor) - Gurgaon (Gurugram)
🏢 datavruti
📍 Gurugram