
AI Systems Engineer
2 days ago
At the forefront of applied AI, we design and build intelligent systems that empower ventures to scale faster and smarter.
- Develop end-to-end pipelines for data ingestion, model training, evaluation, and deployment.
- Architect scalable infrastructure for APIs, microservices, and data systems.
- Prototype generative AI tools, retrieval-augmented generation (RAG) systems, and autonomous agents.
- Maintain a full-stack approach by working across model development, backend engineering, and systems design.
- Collaborate with product managers, designers, and founders to drive innovation.
Required Skills:
- Strong programming background in languages like Python or Node.js.
- Experience with ML/AI frameworks such as PyTorch or TensorFlow.
- Knowledge of data engineering, databases, and cloud storage.
- Familiarity with MLOps and deployment on platforms like Docker or Kubernetes.
- Hands-on experience with retrieval systems, embeddings, and RAG pipelines.
- A builder's mindset, comfortable taking ownership from zero-to-one.
- Understanding of multi-modal systems and interest in generative agents or conversational AI.
Benefits:
- Work on real-world AI projects that power products used across multiple ventures.
- Join a lean and fast-paced environment with founders and creators.
- Shape the future of applied AI in India and beyond.
- Enjoy a flat structure, high trust, and room for growth.
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