What are the responsibilities and job description for the Agentic AI Engineer position at Transnational AI Private Limited?
Job Description – Agentic AI Engineer (Fresher)
Company: Transnational AI Private Limited
Location: Coppell, TX (On-site )
Work Mode: onsite
About Transnational AI:
Transnational AI Private Limited is a Hyderabad-based global technology company building secure,
scalable, and intelligent agentic AI systems. Our AI platforms power digital exchanges across
employment, insurance, data, and financial services. We believe in creating real-world impact through
autonomous AI agents that plan, act, and learn responsibly. If you are passionate about building the future of intelligent systems — this is the place to grow your career.
Role Overview:
As a Fresher in the Agentic AI team, you will work on designing, developing, testing, and deploying
intelligent agent systems that interact with real users and platforms. You will get hands-on experience with cutting-edge LLM technologies, retrieval systems, tool integration, and agent orchestration frameworks — under strong mentorship from senior engineers. This is an excellent opportunity for
young engineers who want to build their careers at the intersection of AI, product, and systems
engineering.
Responsibilities:
• Contribute to building and maintaining agentic AI workflows — planning, decision-making,
orchestration.
• Work with LLMs, vector stores, prompt engineering, and RAG pipelines.
• Integrate agents with internal APIs, external tools, databases, and cloud services.
• Build guardrails, fallback strategies, and evaluation metrics for agent performance.
• Debug, monitor, and improve real-world AI agent behavior.
• Collaborate with AI, product, infrastructure, and domain teams to deliver production-ready solutions.
Qualifications:
• B.Tech / B.E. / M.Tech in Computer Science, AI, Data Science, or related fields.
• Strong programming skills (Python preferrhon preferred). • Basic understanding of ML / NLP / Generative AI.
• Familiarity with APIs, databases, and cloud tools.
• Strong problem-solving mindset and eagerness to learn. Bonus Skills (Good to Have)
• Internship / project experience with LangChain, LangGraph, or autonomous agents.
• Familiarity with Docker, AWS / GCP, or similar infrastructure.
• Knowledge of AI safety, explainability, or privacy.
• Contributions to open-source AI projects o