AI Engineer with less than a year in Generative AI & LLM Orchestration
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Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI Engineer with 1+ year of Internship experience building agentic systems, RAG pipelines, and LLM-powered applications using LangGraph, FastAPI, and Python. Proven track record delivering production-grade AI solutions across enterprise and startup environments.
Gokaraju Rangaraju Institute of Engineering and Technology
M.Tech · Data Science
August 1, 2021 – June 30, 2023
CognitBotz Solutions
AI Agent Developer Intern
October 1, 2025 – April 1, 2026
India
Trizen Ventures LLP
AI Engineer Intern
July 1, 2025 – September 1, 2025
Hyderābād, Telangana, India
AI-Powered Agent Builder (Agentic RAG)
June 27, 2026 – Present
Architected a conversational AI system building production-ready Pydantic AI agents, achieving an 85% success rate for generated code. Built an automated pipeline using Crawl4AI to ingest documentation into Supabase pgvector for high-fidelity semantic search.
SAP invoice consolidation
June 27, 2026 – Present
Engineered an AI pipeline utilizing Nanonets OCR for high-accuracy PDF extraction and Groq API for field parsing to generate SAP-ready Excel sheets. Developed a Tkinter desktop app with logic for multi-page handling, vendor validation, and dynamic derivation of tax codes for SAP compliance.
OpenViz - Generative AI Analytics Platform
August 1, 2021 – December 1, 2023
Architected a React & Vega-Lite visualization engine featuring a hybrid drag-and-drop/AI interface powered by Llama 4 via Groq SDK. Implemented a client-side RAG pipeline with Arquero for instant data profiling and context-aware chart generation, ensuring data privacy and zero-latency interactions.
Cultural Fit Analysis
The candidate's project portfolio demonstrates a blend of academic and professional projects, indicating adaptability and a willingness to apply skills in diverse contexts. The experience with various AI technologies and frameworks suggests a proactive learning attitude. The roles as an 'AI Agent Developer Intern' and 'AI Engineer Intern' align well with a growth-oriented culture, though the short duration of internships might require further probing on long-term commitment and team collaboration experiences.
Soft Skills & Operational Fit
The candidate's project descriptions indicate a strong problem-solving aptitude and an ability to work on complex, multi-faceted AI solutions. The experience in architecting systems suggests good planning and execution skills. The focus on production-ready systems implies an understanding of operational requirements and scalability.