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Senior AI Engineer – Generative AI & LLMs

Avathon · Bengaluru

New
Senior 🇬🇧 English
Python PyTorch TensorFlow Hugging Face LangChain LlamaIndex Transformer architectures Prompt engineering Vector databases AWS GCP Azure CI/CD MLOps

Job description

About the role

Avathon is seeking a Senior AI Engineer to design, develop, and deploy cutting‑edge Generative AI and Large Language Model solutions that power autonomous operations across heavy‑industry sectors.

Key responsibilities

  • Design, build, and deploy production‑grade AI/ML systems with a focus on Generative AI and LLM‑powered applications.
  • Develop and optimise end‑to‑end LLM pipelines, including retrieval‑augmented generation, fine‑tuning, prompt orchestration and observability.
  • Build scalable backend services and APIs that support AI workflows, ensuring reliability and performance.
  • Implement transformer‑based models and vector‑search systems for knowledge‑intensive enterprise use cases.
  • Collaborate with product, engineering and business teams to translate operational challenges into scalable AI solutions.

Required profile

  • Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning or a related field.
  • 3–6 years of hands‑on industry experience in AI/ML engineering, with a proven track record of deploying LLM‑based applications.
  • Strong software engineering fundamentals, including system design, debugging, performance optimisation and production reliability.
  • Ability to work autonomously in a fast‑moving startup environment and communicate effectively across technical and business stakeholders.

Required skills

  • Python programming.
  • AI/ML frameworks: PyTorch, TensorFlow, Hugging Face, LangChain, LlamaIndex.
  • Deep knowledge of transformer architectures, LLM fine‑tuning, prompt engineering and Retrieval‑Augmented Generation.
  • Experience with vector databases and embedding‑based search systems.
  • Building scalable APIs and backend services for AI workflows.
  • Cloud platforms: AWS, GCP or Azure.
  • Containerisation and deployment pipelines (CI/CD, Docker/Kubernetes).
  • MLOps practices including model lifecycle management and observability.

Questions fréquentes

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Published 1 day ago

Expires 1 month from now

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Avathon

Bengaluru