Python GenAI Engineer

Crisil; Delhi; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

A leading financial analytics firm is seeking a Python AI Engineer to design and develop AI applications. The ideal candidate will have over 7 years of experience in Python development, focusing on Generative AI solutions. Responsibilities include building backend services and APIs, working with enterprise databases, and designing scalable architectures for effective AI integration. This position requires expertise in Python, backend frameworks like Django or Flask, and familiarity with cloud platforms like Azure.

Qualifications

• 7+ years of experience as a Python developer, with 3+ years focused on AI/GenAI solutions.
• Strong coding and data processing experience in Python.
• Experience with backend frameworks such as Django or Flask.

Responsibilities

• Design and develop AI applications using Python.
• Build backend services and APIs for AI systems.
• Work with enterprise databases to manage large datasets.
• Develop GenAI capabilities and integrate them into workflows.
• Design scalable architectures for AI solutions.

Skills

Python development

Generative AI development

Backend frameworks (Django/Flask)

SQL and database experience

API development

Databricks exposure

Job description

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 at least 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
• Data platforms: Experience with Databricks or similar ML platforms is a plus