Innovative AI Architect

4 days ago

Delhi NCR Noida, India beBeeArtificialintelligence Full time ₹ 1,50,000 - ₹ 28,00,000
Build the Future of Healthcare AI

We're seeking a Staff AI Engineer to join our team and make a lasting impact on the healthcare industry.

As a Staff AI Engineer, you will be responsible for architecting and evolving our AI platform infrastructure to support high-scale ML development, agentic frameworks, and self-serve pipelines. You will also drive the design and development of multi-agent systems for healthcare, including an extensible catalog of AI agents.

  • Key Responsibilities:
  • Architect and evolve the AI platform infrastructure to support high-scale ML development, agentic frameworks, and self-serve pipelines.
  • Drive the design and development of multi-agent systems for healthcare, including an extensible catalog of AI agents.
  • Deliver high-availability, low-latency, production-ready AI applications.
  • Lead the development and deployment of ML/DL models including transformers, GANs, and generative frameworks.
  • Oversee scalable data pipelines and infrastructure needed for robust AI productization.
  • Translate experimental results into actionable insights that inform product and business decisions.
  • Guide strategic alignment of AI initiatives with long-term product and business goals.
  • Mentor AI engineers and data scientists across teams, and lead code/design reviews.
  • Work closely with leadership, product, and customers to shape AI strategies and solve high-impact problems.

Requirements:

  • masters or PhD in Computer Science, Engineering, or a related field.
  • 9+ years in software development, with 6+ years of experience in AI/ML systems.
  • At least 1+ year hands-on experience building generative AI pipelines, agents, and RAG systems.

Deep Experience with:

  • LLMs and prompt engineering
  • Frameworks such as LangChain, CrewAI, Autogen (one or more)
  • Vector databases like FAISS, ChromaDB
  • Embedding models and Retrieval-Augmented Generation
  • Proven track record of deploying AI/ML systems in production at scale.
  • Strong understanding of classical ML techniques (Random Forests, SVMs, Boosting, etc).
  • Deep proficiency in Python and enterprise application development.
  • Experience with at least one cloud ML platform (Azure ML, Databricks, SageMaker).
  • Familiarity with cloud infrastructure (AWS, Azure, GCP), distributed systems (Spark, Kubernetes), and MLOps best practices.

Preferred Skills:

  • Leadership in designing and scaling AI systems in production.
  • Deep learning frameworks like PyTorch or TensorFlow.
  • Strong foundation in applied mathematics and statistics.
  • Experience integrating AI models as platform components

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