Agentic AI Engineer (Ahmedabad)

ob Summary

We are seeking a highly skilled Agentic AI Engineer with experience in Generative AI, Large Language Models (LLMs), AWS Bedrock, Prompt Engineering, and Python development. The ideal candidate will be responsible for designing, developing, deploying, and optimizing AI-powered applications and autonomous agent systems using state-of-the-art Generative AI technologies.

This role requires robust expertise in machine learning, deep learning, NLP, model deployment, and cloud-based AI solutions. You will collaborate with cross-functional teams to build scalable AI products that drive business innovation and operational efficiency.

Key Responsibilities

• Design, develop, and implement Agentic AI and Generative AI solutions using AWS Bedrock and foundation models.
• Build intelligent AI agents capable of autonomous reasoning, decision-making, task execution, and workflow orchestration.
• Develop and optimize prompt engineering strategies for improved model performance and business outcomes.
• Design and maintain end-to-end AI/ML pipelines, including data preprocessing, feature engineering, model training, evaluation, and deployment.
• Research and implement advanced Generative AI techniques, including GPT, VAE (Variational Autoencoders), and GAN (Generative Adversarial Networks).
• Develop AI-powered applications leveraging LLMs, transformer architectures, and NLP frameworks.
• Integrate AI models with enterprise systems, APIs, databases, and cloud platforms.
• Monitor, evaluate, and continuously improve model accuracy, scalability, and performance.
• Collaborate with product managers, architects, data scientists, and engineering teams to define AI use cases and technical solutions.
• Implement MLOps best practices for model versioning, deployment, monitoring, and lifecycle management.
• Create technical documentation, solution designs, user guides, and knowledge-sharing materials.
• Stay updated with emerging trends and advancements in Generative AI, Agentic .