Generative AI Engineer - Freshers 2026/27 (Computer Science or AI Only)

Posted Yesterday
Hyderabad, Telangana, IND
In-Office
Entry level
Artificial Intelligence • Software
The Role
Develop generative AI applications, chatbots, intelligent agents, RAG pipelines, semantic search systems, and enterprise automation solutions. Build Python backend services and REST APIs, integrate commercial and open-source language models, use AI development frameworks, support AWS deployment, and perform prompt engineering, testing, debugging, and optimization. Collaborate with engineering and product teams to deliver maintainable, production-ready AI software.
Summary Generated by Built In

Digitals AI Inc. is seeking talented and enthusiastic Computer Science Freshers, Engineering Graduates, and Junior AI Engineers to join our Generative AI development team.

This opportunity is open to fresh graduates and professionals with 0–3 years of experience who are passionate about Artificial Intelligence, Python programming, Large Language Models (LLMs), and modern software development.

You will work on real-world AI-powered SaaS applications, intelligent AI agents, conversational AI, Retrieval-Augmented Generation (RAG), and enterprise automation solutions.

We welcome candidates with strong programming fundamentals, academic projects, internships, or hands-on experience in AI development.

Key Responsibilities

  • Develop and integrate Generative AI applications using LLMs and modern AI frameworks.
  • Build backend services and REST APIs using Python, FastAPI, Flask, or Django.
  • Develop AI chatbots, intelligent agents, and automation workflows.
  • Implement RAG pipelines, semantic search, and vector database integrations.
  • Integrate OpenAI, Anthropic Claude, Google Gemini, and open-source AI models.
  • Work with LangChain, LangGraph, LlamaIndex, and other AI development frameworks.
  • Support deployment of AI applications on AWS cloud infrastructure.
  • Implement prompt engineering, testing, debugging, and performance optimization.
  • Collaborate with software engineers, product managers, and AI development teams.
  • Write clean, maintainable, and production-ready code.

Requirements
  • Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, Data Science, or a related discipline.
  • Freshers, recent graduates, and candidates with up to 3 years of experience are eligible.
  • Strong fundamentals in Python programming, data structures, and problem-solving.
  • Basic understanding of Generative AI, LLMs, NLP, and machine learning concepts.
  • Knowledge of REST APIs and backend development frameworks.
  • Familiarity with Git, databases, and software development practices.
  • Good analytical, communication, and teamwork skills.
  • Passion for learning and building innovative AI applications.

Skills Required

  • Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, Data Science, or a related discipline
  • 0-3 years of experience; freshers and recent graduates are eligible
  • Strong fundamentals in Python programming, data structures, and problem-solving
  • Basic understanding of Generative AI, LLMs, NLP, and machine learning concepts
  • Knowledge of REST APIs and backend development frameworks
  • Familiarity with Git, databases, and software development practices
  • Good analytical, communication, and teamwork skills
  • Passion for learning and building innovative AI applications
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The Company
HQ: Raleigh, NC
12 Employees

What We Do

Digitals AI Inc. is a product-focused AI company offering a unified platform that delivers adaptable, secure, and affordable AI products to businesses across industries. Our Digitals Unified AI Platform features a robust ecosystem of micro-apps, each designed to address specific business needs, enabling seamless AI integration without reliance on external services. Digitals Unified AI Platform: Modular AI for Every Business The platform’s modular micro-app design allows businesses to activate AI capabilities on demand, providing flexibility, scalability, and cost- effectiveness

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