Generative AI Engineer | Building LLM-powered apps with Python, RAG & Transformers | Prompt Engineering | Agentic AI
Remote

Remote

Remote

India







Master of Computer Applications - MCA, Generative AI
Alliance University

BCA, General
shivaji university, kolhapur
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Download Tal BossGenerative AI Engineer | Building LLM-powered apps with Python, RAG & Transformers | Prompt Engineering | Agentic AI
Most AI projects never leave the demo phase. I build ones that do. I'm a Generative AI developer and MCA student (specializing in GEN AI), with hands-on experience building production-grade LLM applications. My two most significant projects are Jobyn.ai, an AI-powered resume ranking and job-matching system, and Krishi.ai, an intelligent system for agriculture use cases — both built on real RAG pipelines, not toy examples. At Edunet Foundation, I built and deployed Generative AI systems that processed daily API requests at 99% uptime, improved model performance by 35%, and ran on Azure and GCP using Docker and CI/CD. I've also explored responsible AI and agentic architectures through my internship at 1M1B, aligned with UN SDG goals. I published research on Agentic AI: Towards Autonomous and Responsible Artificial Intelligence, which reflects where I think the field is heading — and where I want to contribute. Technical stack: Python · LangChain · HuggingFace · OpenAI API · RAG · Vector DBs · Docker · Azure · GCP · Prompt Engineering · Transformers ✅If you're building in the LLM/AI application space and need someone who ships real systems, let's talk!
Bengaluru
hugging face
langchain
langgraph
mcp
claudecode
OpenRouter
Gen AI Intern at Sartek21, Mar 2026 - Jun 2026 · 3 mo, Remote
AI for Sustainability - Intern at 1M1B (1 Million for 1 Billion), Dec 2025 - Jan 2026 · 2 mos, Remote, • Designed AI solutions for sustainability challenges aligned with UN SDGs, applying RAG-based systems and agentic AI frameworks to real-world problem statements. • Explored responsible AI development practices including bias mitigation, explainability, and ethical deployment — key concerns for enterprise AI adoption. • Published research on agentic AI architectures as a direct outcome of this internship's focus on autonomous AI systems.
Internshala Student Partner (ISP) at Internshala, Oct 2025 - Jun 2026 · 9 mos, Remote, • Represent Internshala on campus, driving student engagement with internship and learning opportunities. • Organize workshops and outreach events — developing skills in community building, communication, and event execution.
Artificial Intelligence Intern at Edunet Foundation, Feb 2025 - Apr 2025 · 3 mos, India, • Built and deployed a RAG-based Generative AI pipeline using LLMs and Python, achieving 99% uptime across daily production API requests serving real users. • Optimized LLM inference and retrieval logic, reducing latency and improving response quality by 35% — measured against baseline evaluation benchmarks. • Containerized and shipped cloud-native AI applications on Azure and GCP using Docker and CI/CD pipelines, cutting deployment time from manual to fully automated. • Gained hands-on experience with prompt engineering, vector databases, and transformer-based architectures in a production environment.
Master of Computer Applications - MCA, Generative AI, Alliance University
BCA, General, shivaji university, kolhapur
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