Live opening · Posted 8 days ago

full Stack AI Engineer

The Reliable Jobs · India (Remote)
Linkedin Yes
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At a glance

The key details from the original listing.

Posted 8 days ago
CompanyThe Reliable Jobs
LocationIndia (Remote)
Work modeYes
SkillsPython, JavaScript, React, Angular, AWS, Azure, Docker
SourceLinkedin
ListedPosted 8 days ago

About the role

Description supplied by the original job listing.

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.

Work arrangement
Yes

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