Market Research Future Reports
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Job Summary
We are seeking a highly skilled Cloud AI Engineer with strong Cloud and Data Engineering capabilities to design, build, and deploy intelligent AI agents and end-to-end AI solutions.
The ideal candidate bridges the gap between AI research, data engineering, and full-stack software development. You should possess deep expertise in Vertex AI, GCP ADK, modern AI orchestration frameworks, and cloud-native data services. Beyond building systems, you must have hands-on experience in advanced AI optimisations—including prompt engineering, context engineering, and harness engineering.
Experience Required: 5+ Years of total IT experience (with a minimum of 2+ years dedicated to Google Cloud, Machine Learning, and AI)
● Job Location: PAN India
● Work Mode: Hybrid
Key Responsibilities
AI & Agentic Engineering
● Multi-Agent Design: Design, develop, and orchestrate complex Agentic AI applications and multi-agent workflows on GCP.
● Core AI Stack: Build and deploy scalable AI solutions leveraging Vertex AI and GCP ADK (Agent Development Kit).
● Advanced LLM Techniques: Implement advanced Prompt Engineering, Context Engineering, and Retrieval-Augmented Generation (RAG) workflows.
● Testing & Evaluation: Design robust evaluation frameworks using Harness Engineering principles to benchmark agent performance, guardrails, and accuracy
Cloud Integration
● End-to-End Delivery: Develop full-stack AI applications, seamlessly integrating backend services, secure APIs (RESTful/gRPC), and responsive user interfaces.
● Scalable Infrastructure: Design and maintain scalable, secure, and production-grade AI systems utilizing GCP cloud-native architectures.
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About the company
We are a technology company with a proven track record of partnering with organizations to deliver innovative mobile and cloud solutions & products. We believe that cloud and mobility are the means to deliver solutions to tomorrow’s challenges. Over the last 10 years, we have completed over 200 projects, and many of those have reached the top of the AppStores. We have worked across a number of categories including Fintech, Social, Retail, Enterprise, Lifestyle, Ticketing, Sports, Healthcare, Entertainment and many more.
We have worked with both Fortune 500 companies and innovative startups, and delivered successful products. We have a 40+ people team which, includes UI/UX designers, the best breed of engineers for iOS and Android, Full Stack Developers and Innovators. Other than design and development, Byteridge helps companies understand and define the product that needs to be built. This includes working with the stakeholders to understand the business, recognizing areas of improvement and aligning the project scope with the customers problems.
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finban gives small and mid-sized companies a clear view of their financial future. The platform connects bank accounts (PSD2), accounting systems such as DATEV, Lexware Office and sevdesk, payment providers like Stripe and PayPal, CRM systems and spreadsheets — and consolidates them into a single, always-current liquidity plan.
What sets finban apart is how it handles data. Instead of forcing one source of truth, actuals from the bank, open receivables and payables from accounting, and forward-looking budget assumptions coexist side by side. As real payments come in, they replace the plan automatically. The result is a forecast that stays accurate without manual maintenance.
Built in Germany, finban today serves primarily the DACH market — with an integration and banking layer designed to extend across Europe and beyond. It's made for companies of up to around 100 employees: teams that need serious financial visibility but don't have a dedicated treasury department to produce it.
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