Python Developer + Coder / Python API Dev

Role : Python API Developer (Product Dev)

Exp : 5–10 Years

Location : Gurgaon / Bangalore (Preferred), Pune

Onboarding : Immediate |

Skills Required – Backend Engineer (AI Focus) :

• Python (Flask / Django / FastAPI) API Development
• RESTful & GraphQL API development
• Generative AI / ML model integration (GPT, DALL
• E, GANs, etc.)
• Cloud platforms : AWS / GCP / Azure
• Databases : PostgreSQL, MongoDB, Redis (SQL / NoSQL)
• CI / CD, Git, Docker, Kubernetes
• Data pipelines & backend-AI integration
• Exposure to Product Development
• Cloud Services (Any), Basic Gen AI
• Product mindset (Gen AI experience preferred)

As a Backend Engineer (AI Engineer), you will be responsible for designing, developing, and maintaining

high-performance, scalable APIs that power our Generative AI products. You will work closely with data

scientists, machine learning engineers, and product teams to integrate Generative AI models (such as

GPT, GANs, DALL-E, etc.) into production-ready applications. Your expertise in backend development,

Python programming, and API design will be critical to ensure the seamless deployment and execution

of AI-driven features..

Education :

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field

Experience :

experience in designing and developing APIs.

production environment.

deploying backend systems and AI models.

Flask, FastAPI, or similar.

Job Description

Core Technical Skills :

Django, or FastAPI.

designing and implementing API architectures.\.

PostgreSQL, MySQL, MongoDB, Redis, etc

deploying and managing backend services and AI models in the cloud.

deployments.

systems.

etc.) into backend services.

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developers, and UX / UI designers) to understand product requirements and deliver backend

services that meet business and user needs.

features, especially as they relate to AI capabilities.

API requests.

resource-intensive generative AI processes.

Key Attributes :

to overcome challenges associated with integrating AI models and UI.

teams and stakeholders.

generative AI, with a willingness to experiment with new tools and frameworks.