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AI Stack Developer

salary Salary :

₹4 - 18 yearly

Job Description - AI Stack Developer

Description

This role is for one of the Weekday's clients

Salary range: Rs 400000 - Rs 1800000 (ie INR 4 - 18 LPA)

Min Experience: 2+ years

Location: Bangalore

JobType: full-time

We seek a dedicated and proficient AI Stack Developer to become a part of our expanding technology team. The ideal applicant will possess practical experience in building AI-driven applications, API integration, utilizing contemporary backend and frontend technologies, and deploying scalable AI solutions.



Requirements

Key Responsibilities:

🔹 Design, develop, and implement AI-driven applications and solutions
🔹 Work with Large Language Models (LLMs), Generative AI, AI agents, and automation workflows
🔹 Integrate AI and ML models into web or mobile applications
🔹 Build and maintain scalable backend services and APIs
🔹 Collaborate with cross-functional teams to support product development
🔹 Enhance application performance and ensure data security
🔹 Utilize cloud platforms and modern development frameworks
🔹 Diagnose, debug, and improve existing AI applications

Required Skills:

✅ Proficiency in Python and AI/ML libraries
✅ Familiarity with Generative AI, LLMs, OpenAI APIs, LangChain, RAG, or AI agents
✅ Practical experience with FastAPI, Django, Flask, or Node.js
✅ Knowledge of databases such as MongoDB, PostgreSQL, or MySQL
✅ Understanding of frontend technologies including React.js or Next.js
✅ Experience with Git, REST APIs, and cloud services (AWS, Azure, or GCP)
✅ Strong grasp of prompt engineering and AI workflow automation
✅ Excellent analytical and problem-solving abilities

Preferred Qualifications:

⭐ Experience in chatbot development or AI automation projects
⭐ Knowledge of vector databases and embedding techniques
⭐ Exposure to Docker, Kubernetes, or CI/CD pipelines
⭐ Strong communication skills and ability to work in teams

Must-have skills

AI Stack Developer, Python, AI/ML, Django, AWS or Azure or GCP

Good-to-have skills

Generative AI, LLMs, AI agents, automation workflows

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