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AI Engineer - LLM Solutions

Cognition Techsystems Private Limited

Role:We are looking for an experienced AI Engineer to build and deliver practical, business-driven AI solutions. You will work on integrating cloud-based AI models, LLMs, APIs, and intelligent agents into scalable enterprise applications. This role emphasizes rapid development, integration, deployment, and productionization of AI-powered solutions.Key Responsibilities:- Design and rapidly deliver AI and Generative AI solutions by integrating existing cloud models, LLMs, and APIs.- Translate business requirements into technically feasible AI-powered applications and workflows.- Integrate Google Cloud AI services, including Vertex AI and Document AI, into microservices and enterprise workflows.- Design, develop, deploy, and monitor intelligent/AI agents for automation and personalization.- Collaborate with Data Scientists, Architects, Full Stack Engineers, and Squad Leads.- Build scalable solutions using API-driven and event-driven microservices architectures.- Develop and maintain CI/CD pipelines using Google Cloud Build and GitHub Actions.- Work closely with DevOps and SRE teams for reliable deployment, monitoring, and production support.- Prepare API documentation, runbooks, architecture diagrams, technical demos, and training material.- Ensure AI applications follow organizational Responsible AI and ethical AI standards.Tech Stack & Skills:- 5 - 7 years of relevant experience.- Strong programming experience with Python and SQL.- Hands-on development experience with Google Cloud Platform (GCP), Vertex AI, Document AI, and BigQuery ML.- Strong knowledge of Generative AI, Large Language Models (LLMs), Prompt Engineering, and Context Engineering.- Experience integrating LLMs such as Gemini, OpenAI, Anthropic, and/or Azure OpenAI.- Experience with AI/Agentic development frameworks (e.g., Google Agent Development Kit).- Strong knowledge of Microservices Architecture, API-driven/event-driven development, CI/CD, Cloud Build, and GitHub Actions.- Ability to rapidly develop POCs and prototypes using AI coding assistants.Education :- Bachelor's or Master's degree in Computer Science, Software Engineering, or a relevant technical discipline. (ref:hirist.tech)

Vacancy posted 3 hours ago
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