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full Stack AI Engineer
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2 days ago
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Important information
Contract type:
Permanent
Location:
Panara, Madhya Pradesh 480551, India
Work mode:
Remote
Published on:
18 October 2026
What they need
Hiring: Full Stack AI Engineer
📍 Location: India (Remote)
💼 Experience: 3+ Years
🕒 Work Mode: Fully Remote
We are looking for a Full Stack AI Engineer who is passionate about building scalable applications by combining Python backend development, modern frontend technologies, and AI-powered capabilities. The ideal candidate will work across the stack to develop user-facing features and integrate LLMs, retrieval systems, and AI agents into production applications.
Key Responsibilities
- Develop and maintain backend services using Python and frameworks such as FastAPI or Flask.
- Build responsive web interfaces using React, Angular, Vue, or similar modern JavaScript frameworks.
- Integrate LLM APIs, retrieval-augmented generation (RAG), and AI agent capabilities into applications.
- Develop data-processing scripts and automation workflows to support platform functionality.
- Design and integrate REST APIs, asynchronous workflows, and database-backed services.
- Write unit and integration tests, participate in code reviews, and maintain clean, reusable code.
- Troubleshoot and resolve defects across frontend and backend components.
- Collaborate with cross-functional teams and contribute to technical documentation and Agile sprint ceremonies.
Must-Have Skills
- 3+ years of software development experience, primarily focused on Python.
- Hands-on experience with FastAPI or Flask.
- Experience with React, Angular, Vue, or another modern JavaScript framework.
- Working knowledge of SQL databases, preferably PostgreSQL.
- Familiarity with Docker, Git-based workflows, and CI/CD pipelines.
- Understanding of REST APIs, asynchronous programming, and clean-code principles.
Good-to-Have Skills
- Experience integrating LLM APIs or developing RAG-based applications.
- Exposure to cloud platforms such as AWS or Azure.
- Familiarity with Kafka, Spark, or other data-processing tools.
- Exposure to AI agents, vector databases, or AI-powered automation.
Who Should Apply?
Engineers who enjoy building end-to-end products, have strong Python development fundamentals, and are interested in bringing AI capabilities into real-world applications.
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