
Intelligent Systems Architect
20 hours ago
Building Intelligent Systems
Transforming businesses with cutting-edge technology requires a deep understanding of AI principles and software engineering best practices. As a Generative AI Engineer, you will be responsible for designing and building end-to-end pipelines for data ingestion, cleaning, embeddings, model training, evaluation, and deployment.
Your Role in This Journey
We are seeking a hybrid professional who can bridge the gap between research and production-grade AI systems. Your expertise in data science, computer science, and software engineering will enable you to thrive on building, experimenting, and deploying real systems at scale.
- Data Engineering & Pipelines: Develop scalable infrastructure to support data ingestion, processing, and storage.
- AI System Design: Architect APIs, microservices, and data systems that integrate into live products.
- Experimentation & Deployment: Prototype generative AI tools, retrieval-augmented generation (RAG) systems, and autonomous agents—and push them into production.
- Full-Stack Thinking: Move fluidly between model work, backend engineering, and systems design.
- Cross-Venture Collaboration: Work alongside product managers, designers, and founders to bring new AI-powered ventures to life.
What We're Looking For
- Strong Programming Background: Proficiency in Python or similar languages with deep comfort in software engineering best practices.
- Experience with ML/AI Frameworks: Familiarity with PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex, etc.
- Data Storage & Retrieval: Knowledge of SQL/NoSQL, vector DBs like Pinecone/Weaviate, cloud storage.
- MLOps and Deployment: Familiarity with Docker, Kubernetes, AWS/GCP/Azure.
- Retrieval Systems and RAG Pipelines: Hands-on exposure to retrieval systems, embeddings, and RAG pipelines.
- A Builder's Mindset: Comfortable taking ownership from zero-to-one.
- Multi-Modal Systems: Experience with text, voice, vision, or conversational AI.
- Generative Agents and Recommendation Engines: Interest in these areas is a plus.
Why Join Us
- Build Real AI Systems: Your work will power products used across multiple ventures.
- Fast-Paced Environment: Work in a lean, experimental environment with founders and creators.
- Shape the Future: Contribute to the future of applied AI in India and beyond.
- Flat Structure and High Trust: Enjoy a flat structure, high trust, and room to own and grow.
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