Overview
We are looking for a Python AI Engineer (with Databricks exposure) with hands-on experience in Generative AI, backend development, and database-driven applications. The role involves designing and building AI-enabled applications, developing APIs and services to deploy AI models, and integrating them with enterprise databases and cloud platforms.
The candidate should be comfortable working across AI solution design, backend development, and data engineering.
Key Responsibilities
Design and develop AI and Generative AI applications using Python.
Build backend services and APIs using Flask or Django for AI-powered systems.
Work with enterprise databases (SQL-based systems) to ingest, transform, and manage large datasets.
Develop and integrate GenAI capabilities such as LLM-powered workflows, AI assistants, or automation tools.
Design scalable architectures for AI solutions including model deployment and data pipelines.
Build REST APIs and microservices to integrate AI models with enterprise applications.
Work with cloud platforms (Azure preferred) to deploy and scale AI applications.
Collaborate with data engineers, product teams, and domain experts to build production-grade AI solutions.
Required Technical Skills
7+ years of experience as a Python developer which atleast the last 3+ years have been on AI / GenAI solutions
GenAI / AI development experience: LLM applications, AI workflows, or AI-enabled automation
Python development: Strong coding and data processing experience
SQL and database experience: Querying, data modeling, and data integration
Backend frameworks: Django or Flask
API development: RESTful services and microservice architecture
AI system architecture / solution design: Designing scalable AI applications
Cloud platforms: Azure AI services preferred
Data platforms: Experience with Databricks or similar ML platforms is a plus
or continue with email
We are looking for a Python AI Engineer (with Databricks exposure) with hands-on experience in Generative AI, backend development, and database-driven applications. The role involves designing and building AI-enabled applications, developing APIs and services to deploy AI models, and integrating them with enterprise databases and cloud platforms.
The candidate should be comfortable working across AI solution design, backend development, and data engineering.
Key Responsibilities
Design and develop AI and Generative AI applications using Python.
Build backend services and APIs using Flask or Django for AI-powered systems.
Work with enterprise databases (SQL-based systems) to ingest, transform, and manage large datasets.
Develop and integrate GenAI capabilities such as LLM-powered workflows, AI assistants, or automation tools.
Design scalable architectures for AI solutions including model deployment and data pipelines.
Build REST APIs and microservices to integrate AI models with enterprise applications.
Work with cloud platforms (Azure preferred) to deploy and scale AI applications.
Collaborate with data engineers, product teams, and domain experts to build production-grade AI solutions.
Required Technical Skills
7+ years of experience as a Python developer which atleast the last 3+ years have been on AI / GenAI solutions
GenAI / AI development experience: LLM applications, AI workflows, or AI-enabled automation
Python development: Strong coding and data processing experience
SQL and database experience: Querying, data modeling, and data integration
Backend frameworks: Django or Flask
API development: RESTful services and microservice architecture
AI system architecture / solution design: Designing scalable AI applications
Cloud platforms: Azure AI services preferred
Data platforms: Experience with Databricks or similar ML platforms is a plus
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