Truviq Systems Hiring AI Practice Intern

The demand for Generative AI engineers, LLM developers, and agentic AI specialists is growing rapidly, and companies are actively building dedicated AI teams to support this transformation. One such opportunity is the AI Practice Intern role at Truviq Systems in Hyderabad.

This internship is designed for candidates who want to move beyond theoretical learning and work directly on production-grade AI systems using modern LLM frameworks and cloud-based AI tools. Unlike traditional internships, this role focuses on real implementation, deployment, and enterprise-level AI engineering.

About the Company

Truviq Systems is a technology services organization focused on building innovative digital and AI-driven solutions for enterprise clients. The company is actively investing in AI transformation, automation systems, and next-generation software architectures.

With a strong focus on modern AI practices, Truviq Systems is building an internal AI practice that leverages tools like LLMs, agent frameworks, and cloud-native deployments to solve real-world business challenges.

Why This Role is Unique

Most internships in AI focus on learning or assisting in small tasks. However, this role is different because:

• You will not just observe—you will build and deploy AI systems
• You will work on enterprise AI products, not toy projects
• You will gain experience with multi-LLM architectures and agent-based systems
• You will be involved in production-grade API development and deployment
• You will participate in architecture decisions and client solutions

This makes it a highly valuable opportunity for candidates aiming for AI Engineer, LLM Engineer, or GenAI Developer roles.

Technology Stack You Will Work On

Claude (Anthropic AI)

You will work with advanced prompt engineering and enterprise API integration, including:

• Tool use and function calling
• Agentic workflows
• Prompt optimization for enterprise use cases

LangChain

You will build advanced AI pipelines such as:

• Retrieval-Augmented Generation (RAG) systems
• Multi-agent orchestration workflows
• Memory-enabled conversational systems
• Chain-of-thought design architectures

Ollama

You will explore local and enterprise AI deployment including:

• Running LLMs locally
• On-premise AI model deployment
• Fine-tuning models for enterprise environments
• Optimizing inference performance

Key Responsibilities

As an AI Practice Intern at Truviq Systems, your responsibilities will include:

• Building agentic AI applications that solve real business problems
• Designing and implementing RAG pipelines and multi-LLM systems
• Developing and deploying production-ready APIs and backend services
• Evaluating LLM outputs based on accuracy, cost, and latency
• Contributing to internal AI frameworks and reusable libraries
• Participating in architecture discussions and client solution design
• Testing and optimizing AI systems for scalability and reliability

• Tata Communications Junior Software & Application Development Engineer

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Who Can Apply

Required Skills

• Strong Python programming skills
• Knowledge of data structures, APIs, and async programming
• Understanding of Machine Learning and NLP fundamentals
• Knowledge of Generative AI concepts and LLM workflows

• Admagic Hiring Full Stack Development Intern ₹10,000/month

Good to Have Skills

• Java (Core + Advanced concepts)
• FastAPI or Flask for backend development
• Docker basics for containerization
• Exposure to AI frameworks like LangChain or LLM APIs
• Interest in system design and scalable architectures

Mindset Required

This internship is not just about coding—it requires a strong engineering mindset:

• Strong problem-solving ability
• Curiosity to deeply understand AI systems
• Focus on building real-world applications rather than just theory
• Ability to work in fast-paced engineering environments
• Willingness to experiment, fail, and improve continuously

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What You Will Learn

This internship provides exposure to highly in-demand skills:

• LLM-based application development
• RAG system design and optimization
• Multi-agent AI system architecture
• Enterprise-level API development
• AI deployment using modern frameworks
• Performance tuning for cost, speed, and accuracy

These skills are extremely relevant for roles in companies like OpenAI ecosystem startups, Google AI teams, and enterprise AI platforms.

Stipend (Market Estimate) 💰

The company has not officially disclosed the stipend. However, based on similar GenAI and LLM internships in Hyderabad, the expected range is:

👉 ₹15,000 – ₹40,000 per month (estimated)

Actual stipend may vary depending on technical skills, interview performance, and project experience.

• Techcanvass ASP.NET Development Internship ₹10,000/month Stipend

How to Apply 🚀

To improve your selection chances:

👉 Build strong projects in:

• LangChain-based chatbot or RAG system
• Python API projects using FastAPI
• Small LLM apps using OpenAI or Claude APIs

👉 Strengthen your profile with:

• GitHub projects
• Kaggle or AI experiments
• Basic system design understanding

👉 Highlight:

• Any GenAI experimentation
• API integration experience
• ML or NLP coursework

Disclaimer: This job information is collected from official or public sources. We do not charge any fees for job updates and do not guarantee recruitment. Please verify details before applying. We are not responsible for any loss arising from the use of this information.