Senior AI/ML Engineer

IntraEdge Technology; Hyderabad; Vor Ort; INR 1.400.000 - 2.500.000; Vollzeit

Zusammenfassung

IntraEdge Technology is seeking a hands-on Generative AI/ML Full Stack Developer to design, build, and deploy AI-powered applications. The role emphasizes backend services, REST APIs, and containerized deployments with CI/CD pipelines in a fast-paced environment.

The ideal candidate has 2-3 years of software development experience, strong Python expertise, and experience with Django or FastAPI, microservices, and containerization.

Qualifikationen

• 2-3 years of professional software development experience.
• Strong hands-on experience with Python.
• Experience building applications and APIs with Django and/or FastAPI.
• Practical experience with microservices architecture.
• Experience developing and deploying containerized applications.
• Knowledge of CI/CD automation and software testing practices.
• Understanding of frontend and backend development concepts.
• Familiarity with Generative AI/ML concepts and integrating AI/ML services into applications.
• Strong problem-solving, communication, and collaboration skills.

Aufgaben

• Design, develop, and maintain scalable full-stack applications with a focus on AI/ML capabilities.
• Build backend services and REST APIs using Python, Django, and FastAPI.
• Develop and integrate microservices, ensuring reliability, performance, and maintainability.
• Work with Generative AI and machine-learning models to support application features.
• Containerize applications using Docker and support deployment to cloud or other hosting environments.
• Build and maintain CI/CD pipelines and automated testing and deployment workflows.
• Collaborate with product, design, and engineering teams to deliver secure, high-quality software.
• Troubleshoot issues across development, testing, and production environments.
• Write clean, reusable, well-documented code and contribute to code reviews.

Kenntnisse

Python

Django

FastAPI

Microservices

Containerized apps

CI/CD

Frontend concepts

Generative AI/ML concepts

Tools

Docker

Kubernetes

Jobbeschreibung

Job Description: Generative AI/ML Full Stack Developer

**Experience:** 2-3 years

**Employment Type:** Full-time

**Role:** Generative AI/ML Full Stack Developer

Role Overview

Were looking for a hands‑on **Generative AI/ML Full Stack Developer** to build, integrate, and deploy AI‑powered applications. The ideal candidate has experience developing backend services and APIs, working with microservices, and deploying containerized applications through automated CI/CD pipelines.

Key Responsibilities

• Design, develop, and maintain scalable full‑stack applications with a focus on AI/ML capabilities.
• Build backend services and REST APIs using **Python**, **Django**, and **FastAPI**.
• Develop and integrate microservices, ensuring reliability, performance, and maintainability.
• Work with Generative AI and machine‑learning models to support application features.
• Containerize applications using tools such as **Docker** and support deployment to cloud or other hosting environments.
• Build and maintain CI/CD pipelines and automated testing and deployment workflows.
• Collaborate with product, design, and engineering teams to deliver secure, high‑quality software.
• Troubleshoot issues across development, testing, and production environments.
• Write clean, reusable, well‑documented code and contribute to code reviews.

Required Qualifications

• **23 years of professional software development experience.**
• Strong hands‑on experience with **Python**.
• Experience building applications and APIs with **Django** and/or **FastAPI**.
• Practical experience with **microservices architecture**.
• Experience developing and deploying **containerized applications**.
• Knowledge of **CI/CD automation** and software testing practices.
• Understanding of frontend and backend development concepts.
• Familiarity with Generative AI/ML concepts and integrating AI/ML services into applications.
• Strong problem‑solving, communication, and collaboration skills.

Preferred Qualifications

• Experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Familiarity with Kubernetes or other container orchestration tools.
• Experience with relational or NoSQL databases.
• Familiarity with monitoring, logging, and application security practices.
• Experience with LLM APIs, prompt engineering, or retrieval‑augmented generation (RAG).