AI Engineer

BigStep Technologies Pvt. Ltd.; Gurugram District; On-site; INR 2,000,000 - 3,400,000; Full time

Job summary

BigStep Technologies Pvt. Ltd. in India seeks an AI Engineer with 3+ years of experience to develop intelligent systems using Python, LLMs, RAGs, and vector databases.

You will build scalable data pipelines, deploy production-grade AI solutions, and collaborate with stakeholders to turn use cases into reliable services.

The role emphasizes modern engineering practices, rigorous testing, and mentoring junior teammates to raise data quality and performance.

Qualifications

• 3+ years of experience as an AI Engineer.
• Expertise in Python and SQL for data manipulation.
• Hands-on with LLMs, RAG, and vector databases.
• Experience deploying production AI solutions.
• Knowledge of ML fundamentals and data systems.

Responsibilities

• Build, scale, and maintain robust data solutions.
• Design high-performance data pipelines with scalability.
• Lead end-to-end AI projects involving LLMs and RAG.
• Champion CI/CD, IaC, containers, and cloud-native deployments.
• Collaborate with stakeholders to productionize use cases.
• Mentor junior team members and ensure data quality.

Skills

Python

SQL

LLMs

Prompt engineering

RAG frameworks

Vector databases

Production-grade AI

Tools

Databricks/PySpark

dbt

Airflow

Job description

We are seeking a skilled AI Engineer 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.