Senior AI Engineer

We are seeking a skilled AI Engineer with 5-7 years of experience specializing in Python, LLMs, RAGs, and vector databases. The ideal candidate will contribute to the development of intelligent systems, work on complex datasets, and apply state-of-the-art machine-learning techniques to extract insights and solve challenging problems.

Key Responsibilities:

Build, scale, and maintain robust data solutions to support business objectives.

Design, implement, and optimize high-performance data pipelines (extraction, loading, transformation, and orchestration) with scalability, reliability, and speed.

Lead end-to-end software development projects involving large language models(LLMs), retrieval-augmented generation (RAG) frameworks, and other AI technologies.

Champion modern software engineering practices, including CI/CD, infrastructure-as-code, containerization, and cloud-native deployments.

Collaborate with business stakeholders to transform use cases into production-ready services and solutions, owning systems from concept to production.

Implement rigorous testing and monitoring practices to ensure superior data quality and integrity.

Mentor and guide junior team members, fostering a culture of excellence and continuous learning.

Skills Required

Strong communication skills (verbal and written).Expertise in Python and SQL with strong data manipulation and analysis skills.

Proficiency with Databricks/PySpark and dbt for data warehousing and Transformation.

Hands-on experience with workflow orchestration tools (e.g., Airflow, Temporal).

Experience working with LLMs, prompt engineering, RAG frameworks, and vector databases.

Knowledge of machine learning fundamentals, feature engineering, and knowledge graphs is an advantage.

Strong experience in designing and implementing complex data systems from scratch.

Ability to handle large-scale data projects, including ETL, data cleaning, and information retrieval.

Skills Required
Pyspark, Sql, dbt, Airflow, Databricks, Python