AI Engineer

We are seeking a skilled AIEngineer with 3+ 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 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

• Expertise in Python and SQL with strong data manipulation and analysis skills.
• Experience working with LLMs, prompt engineering, RAG frameworks, and vector databases.
• Hands-on experience building and deploying production-grade AI solutions.
• 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.

Good to Have

• Proficiency with Databricks/PySpark and dbt for data warehousing and transformation.
• Hands-on experience with workflow orchestration tools such as Airflow or Temporal.
• Experience with data engineering and data pipeline development.