Senior Agentic AI Developer

6 days ago

Kolkata, West Bengal, India beBeeArtificialIntelligence Full time ₹ 30,00,000 - ₹ 40,00,000
Sought After Expert in Artificial Intelligence DevelopmentJob Description:A senior professional with expertise in developing agentic AI solutions is required to spearhead the entire ML lifecycle from proof-of-concept to production.The ideal candidate will leverage their skills to operationalise LLMs, design and implement agentic workflows, and apply MLOps best practices.Key Responsibilities:
  • Operationalise large language models and agentic workflows (LangChain, LangGraph, LlamaIndex, Crew.AI) to automate security decision-making and threat response.
  • Design, deploy, and maintain multi-agent AI systems for log analysis, anomaly detection, and incident response.
  • Develop proof-of-concept GenAI solutions and evolve them into production-ready components on AWS using reusable best practices.
  • Implement CI/CD pipelines for model training, validation, and deployment with GitHub Actions, Jenkins, and AWS CodePipeline.
  • Manage model versioning with MLflow and DVC, set up automated testing, rollback procedures, and retraining workflows.
  • Automate cloud infrastructure provisioning with Terraform and develop REST APIs and microservices containerised with Docker and Kubernetes.
  • Monitor models and infrastructure through CloudWatch, Prometheus, and Grafana; analyse performance and optimise for cost and SLA compliance.
  • Collaborate with data scientists, application developers, and security analysts to integrate agentic AI into existing security workflows.

 

What You Will Achieve:

  • Automation of critical security tasks through cutting-edge AI solutions.
  • Improved incident response and threat management capabilities.
  • Enhanced collaboration between cross-functional teams.

 

Required Skills and Qualifications:

  • Expertise in developing agentic AI solutions and MLops practices.
  • Strong experience with cloud-based platforms, particularly AWS.
  • Proficiency in programming languages such as Python and Java.
  • Knowledge of DevOps tools like Git, Docker, and Kubernetes.
  • Ability to work collaboratively with data scientists, developers, and security analysts.

 

Benefits:

  • Competitive salary and benefits package.
  • Opportunities for career growth and professional development.
  • Collaborative and dynamic work environment.

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