Senior Ai Engineer

Takeda

Bengaluru, India
Competitive salary; performance annual bonus; comp...
Hybrid
Generative ai
Agentic ai
Llm-powered solutions
As a Senior AI Engineer, you will provide deep hands-on technical ownership in designing, building, and operationalizing scalable enterprise-grade Generative AI and Agentic AI solutions that deliver trusted, actionable intelligence across the business

Job Summary

  • As a Senior AI Engineer, you will provide deep hands-on technical ownership in designing, building, and operationalizing scalable enterprise-grade Generative AI and Agentic AI solutions that deliver trusted, actionable intelligence across the business.
  • You will lead the end-to-end lifecycle of AI implementation from problem framing and proof-of-concept through production deployment, monitoring, and continuous optimization embedding governance, observability, performance efficiency, and cost control into solution design.
  • It is our priority to provide competitive compensation and a benefit package that bridges your personal life with your professional career.

Matching Summary

As a Senior AI Engineer, you will provide deep hands-on technical ownership in designing, building, and operationalizing scalable enterprise-grade Generative AI and Agentic AI solutions that deliver trusted, actionable intelligence across the business.

Salary

Competitive Salary; Performance Annual Bonus; Comprehensive Healthcare Insurance Plans

Skills & Requirements

Must-have

  • Generative AI
  • Agentic AI
  • LLM-powered solutions
  • RAG pipelines
  • Python
  • PyTorch or TensorFlow
  • Langchain

Nice-to-have

  • Responsible AI
  • healthcare background
  • mentoring peers
  • cross-functional collaboration
  • innovation advocacy

Key Requirements

  • 6+ years of relevant experience
  • Bachelor’s degree in computer science, Engineering, Data Science, or related field
  • Hands-on experience building and deploying Generative AI or Agentic AI solutions in enterprise environments
  • Proven hands-on experience building and deploying AI/ML solutions using Databricks and AWS
  • CI/CD automation through GitHub Actions
  • Deep understanding of NLP, transformers, embeddings, vector databases, and RAG architecture
  • Experience deploying scalable AI services on cloud infrastructure

Work Rights

Not specified

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