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Senior AI Engineer

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Rapid7

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Location:
India , Pune

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

As a Senior Software Engineer – Data Science, your primary responsibility will be to drive the end-to-end delivery of ML and LLM-based solutions on AWS.

Job Responsibility:

  • Design and implement sophisticated ML pipelines for security use cases, including malware detection and user behavioral analytics
  • Architect and maintain RAG pipelines and agentic AI workflows using toolchains like LangChain and LangGraph to automate complex security tasks
  • Optimize and deploy models within the AWS ecosystem, utilizing SageMaker and Bedrock while ensuring robust monitoring, drift detection, and retraining workflows
  • Collaborate and mentor across the team to establish architectural standards, conduct code reviews, and support the technical growth of junior engineers

Requirements:

  • Python Proficiency: Advanced experience with numpy, pandas, and scientific computing libraries
  • Machine Learning Frameworks: Hands-on expertise with scikit-learn and Deep Learning frameworks (PyTorch or TensorFlow)
  • Generative AI Toolchains: Proven experience with HuggingFace, Transformers, LangChain, and LangGraph
  • Cloud Infrastructure: Strong experience deploying and operating ML workloads on AWS (SageMaker, Bedrock, Lambda, EKS)
  • Vector Databases & RAG: Practical experience designing and tuning Retrieval-Augmented Generation pipelines
  • MLOps & CI/CD: Proficiency in managing model registries, versioning, and automated deployment via GitHub Actions or Jenkins
  • Security Domain Knowledge: Familiarity with threat detection, malware behaviour, or cybersecurity analytics
  • Model Explainability: Ability to implement and interpret model transparency tools like SHAP or LIME
  • LLM Evaluation: Experience using evaluation frameworks such as Promptfoo or HELM to ensure model quality and safety

Nice to have:

  • Continuous Learning: A proactive approach to mastering emerging technologies in LLMs, Generative AI, and agentic systems
  • Model Explainability: Ability to implement and interpret model transparency tools like SHAP or LIME
  • LLM Evaluation: Experience using evaluation frameworks such as Promptfoo or HELM to ensure model quality and safety

Additional Information:

Job Posted:
May 11, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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