Agentic AI Developer job opportunity at Weekday AI.

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Date2026-02-10T07:19:32.973Z bot
Weekday AI Agentic AI Developer
Experience: 4-years
Pattern: Full-time
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India

This role is for one of the Weekday's clients Salary range: Rs 500000 - Rs 1200000 (ie INR 5-12 LPA) Min Experience: 4 years Location: Remote (India) JobType: full-time We are seeking an experienced Agentic AI Developer for a remote, contract-based role focused on designing and delivering advanced AI-driven solutions on AWS. This is a hands-on position requiring strong expertise in generative AI, machine learning, and agent-based systems, where you will work closely with client teams to build, deploy, and optimize scalable AI applications in a fast-paced, delivery-oriented environment. Key Responsibilities Design, develop, and implement  agentic AI solutions  leveraging AWS AI and ML services Build and deploy  generative AI and machine learning workflows  aligned with client requirements Architect scalable, secure, and high-performance AI systems on AWS Integrate AI models into production-ready applications and APIs Optimize AI pipelines for performance, reliability, and cost efficiency Collaborate with cross-functional stakeholders to understand business problems and translate them into AI-driven solutions Ensure best practices in model deployment, monitoring, and lifecycle management Support continuous improvement of AI systems through experimentation and iteration Adhere to security, compliance, and governance standards in cloud-based AI implementations What Makes You a Great Fit 4+ years of experience as an  AI Engineer, AI Consultant, or Machine Learning Developer Strong hands-on experience building  agentic AI or generative AI solutions Expertise in  AWS-based AI and ML services Mandatory active certifications: AWS Certified Generative AI Developer – Professional AWS Certified Machine Learning – Specialty Solid understanding of machine learning concepts, model deployment, and AI system design Ability to work independently in a remote, contract-based engagement Strong problem-solving skills and a delivery-focused mindset Comfortable working with client-facing teams and adapting to project-based requirements Willingness to assign certifications as part of the engagement, as required

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