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about 1 month ago
Requirements and responsibilities
You’ll architect and build a secure internal AI platform that acts as a centralized intelligence layer across our organization — powering automation, security, workflows, and data-driven decisions.What You’ll Work OnDevelop LLM-based solutions (chatbots, internal tools, automation agents)Design and implement Agentic AI systems for autonomous workflowsBuild RAG pipelines using vector databasesTrain & fine-tune LLMs on internal datasets (with strong privacy & security focus)Automate internal processes (onboarding, compliance, CRM, IAM tasks)Develop secure APIs & backend services for AI integrationsDeploy, scale, and optimize models in cloud environmentsCollaborate with IT, Security, and Operations teamsRequirements4+ years of hands-on experience in Machine LearningStrong proficiency in Python & ML frameworks (TensorFlow, PyTorch, Scikit-learn)Proven experience with LLMs, fine-tuning, and deploymentExperience with RAG pipelines & vector databasesExperience building automation using Agentic AI systemsUnderstanding of IAM & enterprise security principlesExperience building APIs & production-grade ML systemsFamiliarity with AWS, Azure, or GCPStrong foundation in data pipelines & MLOpsIf you're passionate about building real-world AI systems and working on cutting-edge technologies like LLMs & Agentic AI, we’d love to hear from you.
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