Agentic AI Developer

Required Qualifications Demonstrated exposure to, or hands-on experience with, GenAI coding assistants used across day-to-day engineering workflows in the SDLCimplementation, refactoring, unit testing, regression support, code reviews, scripting/automation, troubleshooting, and documentationwhile applying engineering judgment and validation. Practical familiarity with tools such as GitHub Copilot or Claude Code is expected. o Uses AI assistance for common dev tasks (code suggestions, test gener

Proven experience with major cloud AI platforms (AWS Bedrock, Azure OpenAI, Google Vertex AI) and associated infrastructure servicesRequired Experience 8+ years in enterprise software architecture, with at least 3+ years focused on AI/ML solutions at scaleDeep knowledge of generative AI, agentic AI systems, and traditional machine learning, including:Large Language Models (LLMs) selection, fine-tuning, prompt engineering, and lifecycle managementAgentic AI design agent orchestration, tool use,

Technical Skills Strong expertise in Python, Go Lang, Crew.AI, AI/MLHands-on experience with React.js , Angular and modern JavaScript/TypeScript.Solid experience with SQL databases and writing complex queries.Experience with AWS , Azure cloud services.experience in AI/ML engineering with a strong portfolio of deployed models.Proficiency in Python and ML libraries such as TensorFlow, PyTorch, Scikit-learn, etc.Strong knowledge of CI/CD, and DevOps principles.Experience with Docker and containeriz

Job Description: Mandatory: 3-6+ years in ML/AI with strong python hands-on programming (4-5 years)Extensive knowledge and expertise of leveraging GitHub Copliot/Claude Code/Amazon Q Developer to build coding prompts & contexts to convert business stories into quality working code & generate PRs.> 1 year of GenAI hands on experience including working with different LLMs & Chatbots4+ years of AWS cloud experience including EKS, ECS, S3, Lambda, Kafka event streaming, Amazon Bedrock/Claude/OpenAI