
We are seeking a hands-on and technically strong Generative AI Engineer to join the AI Platform Capabilities team as part of a Platform Implementation Partner engagement. In this role, you will design, build, and deploy enterprise-grade Generative AI platform capabilities across multiple Local Business Units operating on both GCP and Azure environments.
The role focuses on engineering production-ready and reusable GenAI components across the full AI stack, including Decision & Orchestration Layers, Execution Runtime Layers, and Build & Lifecycle Layers. You will work closely with implementation partners and Data & AI teams to ensure scalable, enterprise-compliant AI capabilities are delivered within project timelines. This is a deeply technical engineering role with strong emphasis on implementation and operationalization rather than client management.
Key Responsibilities:
- Design and implement enterprise-grade RAG pipelines including ingestion, chunking, embeddings, vector search, retrieval logic, and evaluation frameworks.
- Build multi-agent AI systems with orchestration, semantic routing, memory management, workflow execution, and agent communication capabilities.
- Develop centralized LLM Gateway solutions covering model routing, observability, caching, rate limiting, and policy enforcement.
- Implement scalable GenAIOps, AgentOps, and MLOps frameworks for deployment, monitoring, evaluation, and governance of AI systems.
- Build scalable AI services and REST APIs using Python and deploy them on cloud-native infrastructure.
- Implement AI governance, safety guardrails, audit logging, PII protection, and compliance frameworks.
- Integrate AI solutions into CI/CD pipelines and provision infrastructure using Infrastructure-as-Code practices.
Must-Have Skills:
- Strong hands-on experience with Generative AI, RAG pipelines, embeddings, vector databases, and retrieval evaluation.
- Experience building agentic AI systems including orchestration frameworks, semantic routers, reasoning engines, and memory management.
- Expertise with LLM Gateway implementations, tool integrations, event-driven architectures, and AI runtime systems.
- Solid understanding of GenAIOps, AgentOps, and MLOps principles and tooling.
- Strong experience with GCP AI/ML ecosystem including Vertex AI, Cloud Run, GKE, Pub/Sub, BigQuery, and Cloud Storage.
- Excellent Python programming skills for AI pipelines, APIs, and automation workflows.
- Experience implementing AI governance, safety, compliance, and monitoring frameworks.
- Hands-on experience with CI/CD pipelines and Terraform-based infrastructure automation.
Nice-to-Have Skills:
- Experience working in multi-cloud environments across GCP and Azure.
- Familiarity with LangChain, LlamaIndex, RAGAS, DeepEval, or Vertex AI Rapid Eval.
- Exposure to Knowledge Graphs, Document Intelligence platforms, and Agent Marketplace concepts.
- Experience with enterprise AI-ready data layers including Vector Stores, Feature Stores, and Embedding Infrastructure.
- BFSI domain knowledge including regulatory compliance and data sovereignty considerations.
- Google Cloud Professional Machine Learning Engineer certification.
- Experience working in large-scale enterprise transformation programs.

About Quantiphi
About
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of the business. Since its inception in 2013, Quantiphi has solved the toughest and most complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve accelerated and quantifiable business results.
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Job Title : Java Backend Developer
Experience : 3 to 6 Years
Locations : Bangalore / Gurgaon (Hybrid – 3 Days Work From Office)
Shift Timings : 11:00 AM – 8:00 PM IST
Notice Period : Immediate to 15 Days Only
Job Description :
We are looking for experienced Java Backend Developers with strong expertise in building scalable microservices-based architectures. The ideal candidate should have hands-on experience with Spring Boot, containerized deployments, and DevOps tools.
✅ Must-Have Skills :
- Java – Strong programming skills in core Java.
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- Kubernetes – Experience deploying and managing microservices
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- Git – Source control management
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· Execute buying and selling of gold and silver bullion (bars, coins, and related products).
· Monitor live bullion market trends, spot prices, premiums, and margins.
· Maintain strong relationships with traders, refiners, banks, and brokers in Zaveri Bazaar.
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· Manage daily trading positions and inventory levels.
· Coordinate with accounts and operations for billing, settlements, and reconciliations.
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· Handle high-value cash/RTGS transactions securely and accurately.
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· Conduct outdoor marketing activities, visits to clients, traders, and business hubs to generate leads.
· Identify new market opportunities and expand customer networks within the bullion sector.
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· Participate in exhibitions, trade events, and industry gatherings to enhance brand visibility.
· Provide market feedback, competitor insights, and customer needs to management.
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§ Writing, editing and publishing engaging content for various social networks, including Instagram, Linkedin, Twitter and Facebook etc.
§ Tracking and reporting on social media responses by analyzing traffic to the site
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§ Respond to questions and comments on our social media pages in a timely and accurate manner
§ Maintaining a visible online on social media presence and adhering to the marketing goals
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§ To help us maximise our online profile and develop our ever-growing social media presence through the creation of video driven strategies and digital media content.
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§ Continuously discover and implement new editing technologies and industry best practices to maximize efficiency
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