Sr. AI/ML Engineer

5 years

0 Lacs

Posted:2 days ago| Platform: Linkedin logo

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Job Type

Full Time

Job Description

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About the Company:


Redrob is an AI-powered outbound sales platform backed by $40M Series A funding. The company focuses on modern AI, LLM-based systems, data intelligence, automation, and global-scale prospecting solutions. McKinley Rice is known for its strong culture, learning environment, and global exposure.

Role Overview:

The Sr. AI/ML Engineer will work on building and optimizing LLM applications, AI pipelines, MCP integrations, and scalable model deployment systems. The role includes end-to-end AI development from data to deployment.


Key Responsibilities:


  • Build and optimize LLM-based AI applications.
  • Develop MCP sidecar servers and integrate with NestJS services.
  • Expose business logic as MCP tools and resources.
  • Build MLOps pipelines for model training, deployment, and monitoring.
  • Work with LangChain, Transformers, LlamaIndex, and RAG systems.
  • Develop CI/CD pipelines for AI workflows.
  • Containerize and deploy AI applications using Docker and cloud platforms.
  • Manage scalable inference using FastAPI, BentoML, vLLM, or Ray Serve.
  • Ensure proper documentation, testing, and automation.


Mandatory Skills:


  • Strong experience with LLM development and fine-tuning.
  • Hands-on experience with LangChain, LlamaIndex, and Transformers.
  • Knowledge of RAG and agent-based AI systems.
  • Strong understanding of MCP (Model Context Protocol).
  • Experience with NestJS, TypeScript/JavaScript, and Python.
  • MLOps experience with MLflow, Kubeflow, CI/CD, Docker, and cloud deployments.


Good to Have:


  • Experience with XAI and causal inference.
  • Multi-agent AI system experience.
  • Open-source contributions in AI/ML/MCP/NestJS.
  • Knowledge of Claude Desktop or other MCP host environments.


Benefits:


  • Annual performance bonus up to ₹85,000.
  • Skill enhancement and education reimbursement.
  • Health, wellness, and insurance programs.
  • 20 annual leaves + maternity/paternity + rejuvenation leaves.
  • Referral bonuses and sponsored social functions.
  • Retention benefits and financial assistance programs.


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