Job
Description
Role Overview: You will be part of a rapidly expanding technology organization that delivers advanced, AI-enabled solutions to a global client base. Positioned effectively between agility and operational maturity, the company maintains a product-centric approach supported by strong engineering rigor. Your main focus will be on developing practical and high-impact AI applications, including generative and agentic systems that enable enterprises to automate processes, enhance efficiency, and drive innovation. Key Responsibilities: - Design and develop advanced AI solutions such as generative models, agent-based systems, and reasoning-driven workflows. - Create autonomous agents capable of managing tasks, making decisions, and adapting to dynamic inputs. - Integrate AI capabilities into business processes, applications, and digital products. - Build end-to-end AI workflows, from data preparation to model interaction and orchestration. - Adapt and optimize AI models for specialized use cases across different business domains. - Develop modular components for conversation, automation, and intelligent data processing. - Collaborate with engineering teams to ensure AI systems are robust, reliable, and production ready. - Implement monitoring and iterative improvement loops to continuously enhance system accuracy and behavior. - Partner with product, engineering, and business teams to translate problem statements into AI-powered capabilities. - Contribute to best practices around secure, ethical, and responsible AI deployment. Qualifications Required: - 5-8 years of experience in AI/ML or software engineering with strong programming skills. - Hands-on experience developing and deploying Generative AI or autonomous agentic systems. - Strong understanding of how to structure prompts, workflows, and model interactions for intelligent automation. - Experience working with data pipelines, APIs, cloud environments, or distributed systems. - Strong problem-solving mindset with the ability to convert abstract concepts into working systems. (Note: The additional details about the company were omitted as they were not provided in the Job Description) Role Overview: You will be part of a rapidly expanding technology organization that delivers advanced, AI-enabled solutions to a global client base. Positioned effectively between agility and operational maturity, the company maintains a product-centric approach supported by strong engineering rigor. Your main focus will be on developing practical and high-impact AI applications, including generative and agentic systems that enable enterprises to automate processes, enhance efficiency, and drive innovation. Key Responsibilities: - Design and develop advanced AI solutions such as generative models, agent-based systems, and reasoning-driven workflows. - Create autonomous agents capable of managing tasks, making decisions, and adapting to dynamic inputs. - Integrate AI capabilities into business processes, applications, and digital products. - Build end-to-end AI workflows, from data preparation to model interaction and orchestration. - Adapt and optimize AI models for specialized use cases across different business domains. - Develop modular components for conversation, automation, and intelligent data processing. - Collaborate with engineering teams to ensure AI systems are robust, reliable, and production ready. - Implement monitoring and iterative improvement loops to continuously enhance system accuracy and behavior. - Partner with product, engineering, and business teams to translate problem statements into AI-powered capabilities. - Contribute to best practices around secure, ethical, and responsible AI deployment. Qualifications Required: - 5-8 years of experience in AI/ML or software engineering with strong programming skills. - Hands-on experience developing and deploying Generative AI or autonomous agentic systems. - Strong understanding of how to structure prompts, workflows, and model interactions for intelligent automation. - Experience working with data pipelines, APIs, cloud environments, or distributed systems. - Strong problem-solving mindset with the ability to convert abstract concepts into working systems. (Note: The additional details about the company were omitted as they were not provided in the Job Description)
