AI Engineer - Conversational AI & Multimodal Systems (Ghaziabad)

At Jsimple, we’re redefining how humans interact with machines through intelligent voice and conversational systems. We go beyond basic integrations — we fine-tune our own models, build custom RAG pipelines, and run them on our own GPU infrastructure. Join us to architect the next generation of conversational AI — from voice interfaces to multimodal interaction systems, built on real engineering, not just API calls. What You’ll Do 🔹 Design and build production conversational AI systems using both LLM APIs and our own fine-tuned models 🔹 Fine-tune, evaluate, and deploy custom LLMs tailored for voice interaction on our in-house GPU cluster 🔹 Architect and optimize RAG pipelines — from data chunking and embeddings to retrieval and reasoning 🔹 Develop low-latency inference systems optimized for real-time voice interaction 🔹 Create robust evaluation frameworks for measuring conversation quality, relevance, and system reliability 🔹 Build toward next-generation interaction paradigms — working on pioneering AI interfaces Who You Are ✅ BTech/BE in Computer Science, AI, or related field (required) ✅ Understanding of fine-tuning (LoRA, QLoRA) and RAG architectures — not just prompting, but building ✅ Background in AI/ML — coursework, projects, or hands-on experience with up-to-date AI tools ✅ Freshers are welcome — if you’ve built AI projects, know Python, and understand ML fundamentals ✅ Passion for real-time systems and human-computer interaction ✅ Bonus: Experience with voice platforms (Alexa, Google Assistant) or conversational AI projects Why Join Jsimple ✨ Own dedicated GPU infrastructure — fine-tune and deploy models without cloud limits ✨ Work beyond APIs — we build, tune, and optimize our own models and RAG systems ✨ Direct mentorship — learn from experienced engineers in a zero-red-tape environment ✨ Build from day one — no waiting period; your code ships to production ✨ Small team, high visibility — see your impact immediately ✨ Career-defining projects — work on technology that will shape the future of AI interaction For Freshers Who Want Depth This role is perfect if you: - Have a strong BTech background in CS/AI/ML - Want to work on fine-tuning and RAG — not just prompt engineering - Have built AI/ML projects (coursework or personal) that show technical curiosity - Understand Python, deep learning frameworks, and modern AI architecture - Are tired of surface-level AI and want to build and tune the models behind the interface We provide the mentorship, infrastructure, and challenging problems — you bring the learning mindset and technical foundation. Ready to Build the AI Behind the Conversation? This isn’t about prompt engineering. It’s about fine-tuning models, building RAG systems, and optimizing the infrastructure that makes AI work. Show us your academic projects, personal builds, or innovative experiments. If you have the foundation and want to learn how the models actually work, we have the platform and the challenge. Apply below. Freshers with strong AI backgrounds and a builder mindset are especially encouraged.