Job Opportunities API

About the role We are looking for a Senior Java Developer with deep expertise in Google Cloud Platform (GCP) and a strong focus on API development, data scripting and analysis, automation testing, and performance optimization. The ideal candidate will have extensive experience designing, deploying, and managing cloud-based applications using GCP services, driving automation, and ensuring system reliability through robust CI/CD pipelines, monitoring, and alerting. You will collaborate with cross-functional teams to deliver high-quality software solutions, provide production support, and contribute to continuously improving our systems and processes. Role Overview We are looking for a Senior AI Engineer who can design, build, and deploy production-ready AI solutions using modern Large Language Models (LLMs), AI agents, and cloud-native architectures. The ideal candidate combines strong software engineering fundamentals with hands-on experience building scalable AI applications, integrating foundation models, and delivering business value through Generative AI. Key Responsibilities Design, develop, and maintain AI-powered applications using Large Language Models (LLMs) and Generative AI technologies. Build AI agents and Retrieval-Augmented Generation (RAG) solutions to enable intelligent workflows and knowledge-based applications. Integrate leading AI platforms such as Azure OpenAI, Amazon Bedrock, Google Vertex AI, or similar services. Develop scalable backend services and APIs using Python and modern frameworks such as FastAPI. Collaborate with frontend engineers to deliver end-to-end AI applications using technologies such as React. Design prompt engineering strategies to improve model accuracy, reliability, and user experience. Implement intelligent routing, semantic search, vector databases, and knowledge retrieval solutions. Deploy and manage cloud-native AI applications using AWS and Infrastructure as Code tools such as Terraform. Build and maintain CI/CD pipelines, containerized applications, and cloud infrastructure using Docker and DevOps best practices. Evaluate emerging AI frameworks, tools, and models to continuously improve platform capabilities. Collaborate with Product Managers, Architects, and Engineering teams to translate business requirements into scalable AI solutions. Mentor engineers and contribute to technical leadership, architecture discussions, and engineering best practices. Required Qualifications 10+ years of experience in Software Engineering with recent hands-on experience building Generative AI solutions. Strong experience with Python and REST API development. Experience developing production AI applications using Large Language Models (LLMs). Hands-on experience with AI agent frameworks such as LangChain, CrewAI, or similar technologies. Experience implementing Retrieval-Augmented Generation (RAG) architectures. Experience integrating AI platforms such as Azure OpenAI, Amazon Bedrock, Google Vertex AI, or equivalent services. Strong understanding of prompt engineering techniques and AI application design patterns. Experience developing scalable cloud applications on AWS. Experience with Docker, Terraform, CI/CD pipelines, and Infrastructure as Code. Experience with SQL and NoSQL databases. Familiarity with React or modern frontend technologies. Experience working within Agile software development environments. Strong understanding of software architecture, API design, and distributed systems. Experience working in cross-functional and multicultural teams. Working Style Strong communication skills: able to clearly explain complex AI concepts to both technical and non-technical audiences. Proactive mindset: identifies opportunities for innovation and continuously explores new AI technologies. Ownership and accountability: takes responsibility for delivering reliable, scalable, and maintainable