Highlights
Hands-on experience with real-world AI systems, mentorship from experienced engineers, exposure to cutting-edge tools.
Description
Job Summary
pJoin the cutting-edge team at Transnational AI as a Fresher Agentic AI Engineer. Work on designing, developing, and deploying intelligent agent systems that interact with real users and platforms. Gain hands-on experience with LLM technologies, prompt engineering, and tool integration.
Responsibilities
- Assist in building and maintaining agentic AI workflows
- Work with Large Language Models (LLMs), vector databases, and RAG pipelines
- Integrate AI agents with APIs, external tools, databases, and cloud services
- Develop guardrails to ensure safe and reliable AI behavior
- Debug, monitor, and optimize real-world agent performance
- Collaborate with cross-functional teams to deliver production-ready solutions
Required Skills
- Python programming
- Mechine Learning fundamentals
- API integration experience
- AWS cloud services knowledge
- NLP and LLMs understanding
Required Skills Explained
- Python programming: Essential for implementing AI algorithms and integrating systems.
- Machine Learning and Natural Language Processing (NLP): Understanding of core concepts is necessary to develop intelligent agents.
- API, Database, and Cloud Fundamentals: Knowledge to integrate various tools and services efficiently.
- Debugging and Optimization: Skills to ensure the AI system operates reliably in real-world scenarios.
- Model Context Protocol (MCP): Familiarity with this protocol for effective agent communication and tool interaction is beneficial.
Who is this for
pFor young engineers passionate about building the future of intelligent systems. Ideal candidates have a strong desire to learn, problem-solving skills, and a basic understanding of AI concepts.
Why This Job is a Good Opportunity
ulliGrowth in a Cutting-Edge Field: Work on the forefront of AI technology, contributing to groundbreaking projects.liMentorship from Experts: Learn from experienced engineers who can guide your career development effectively.
liDiverse Responsibilities: Engage in multiple aspects of AI system development, enhancing your skill set comprehensively.liReal-World Experience: Hands-on experience with production environments, preparing you for future challenges.
Interview Preparation Tips
- Understand the basics of LLMs and RAG pipelines.
- Be prepared to discuss practical applications of AI in real-world scenarios.
- Highlight any relevant projects or internships that showcase your skills.
- Prepare examples demonstrating problem-solving and programming abilities.
- Research Transnational AI’s products and values beforehand to show genuine interest.
Career Growth in This Role
pThe role of an Agentic AI Engineer offers numerous opportunities for professional development. With mentorship from experienced engineers, you can deepen your understanding of advanced AI technologies such as Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). As you progress, you may take on more complex projects or leadership roles within the team, contributing to the ongoing success of Transnational AI’s innovative AI systems. This role not only provides a strong foundation in AI but also opens doors for specialization in specific areas like NLP, machine learning, and cloud integration.
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Skills
Frequently Asked Questions
What is the role of an Agentic AI Engineer?You will work on designing, developing, and deploying intelligent agent systems that interact with real users and platforms.
What qualifications are required for this position?A B.Tech / B.E. / M.Tech in Computer Science or related fields is preferred, along with strong programming skills and a basic understanding of AI concepts.
Where will the job be located?The role is based in Hyderabad, with an onsite work mode.
