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Experience / Eligibility
CS / IT / Engineering Graduate
Salary
Not Disclosed / As per Industry Standards
Location
Hyderabad, Telangana, India
Suitable For
College graduates, entry-level candidates, and students matching: CS / IT / Engineering Graduate.
Key Skills to Prepare
Focus on Python, Backend Development, REST APIs, Docker.
Build AI agents that understand requests, retrieve relevant information, use tools, and carry out defined tasks.
Develop conversational experiences across text and voice, including conversation flow, context handling, and human handoffs.
Connect agents with APIs, databases, knowledge sources, and internal or customer systems.
Work on prompts, retrieval pipelines, structured outputs, and workflow logic to improve response quality and task completion.
Support speech-to-text and text-to-speech integrations for voice applications.
Participate in requirement discussions with product teams and customer stakeholders, turning practical needs into clear technical tasks.
Take scoped features from prototype through integration, testing, and deployment, with guidance from senior engineers.
Review conversation logs, investigate failures, and improve reliability, response time, and usage costs.
Document integrations, implementation decisions, and setup steps so solutions are easier to maintain and extend.
Good working knowledge of Python and the ability to write clear, maintainable code.
Familiarity with REST APIs, Git, databases, and basic backend development.
Practical experience building with LLMs through projects, internships, or professional work.
A basic understanding of prompting, retrieval-augmented generation (RAG), and tool calling.
A structured approach to debugging and testing, including checking whether an AI application completes the intended task.
Clear communication and the willingness to ask questions when requirements are incomplete.
Ownership of assigned work, curiosity about user needs, and comfort incorporating feedback.
Experience with an agent framework or workflow orchestration tool.
Exposure to conversational AI, speech recognition, speech synthesis, or real-time audio.
Familiarity with Docker, cloud deployment, logging, or application monitoring.
Experience connecting an application to an external service or adapting a project for actual users.
What You Will Gain
Hands-on experience across AI development and implementation, mentorship from senior engineers, and exposure to how customer requirements shape working products. You will see your work move from an initial problem statement to a usable application.
When applying
Share your resume and, if available, a GitHub repository, demo, or short description of something you have built. Tell us what problem it solved, what you contributed, and one challenge you worked through.
Essential Python interview questions asked by product startups and service-based IT companies during fresher campus and off-campus placements.
Technical PrepPrepare for your entry-level Python developer interview with 50 high-frequency questions covering data types, memory management, list comprehensions, decorators, and DSA.