
Key Responsibilities
1. Platform & Application Architecture
- Architect and oversee end-to-end platform design using GCP services (Vertex AI, Cloud Run, GKE, Pub/Sub, Firestore, BigQuery, and IAM).
 - Define the architecture for multi-tenant SaaS deployment—ensuring secure data boundaries across customers while maintaining a single codebase.
 - Collaborate closely with backend developers to optimize Node.js APIs, data pipelines, and event-driven microservices.
 - Design front-end integration flows and ensure UI/UX alignment with backend AI and agentic processes.
 
2. AI / LLM / Agentic System Architecture
- Lead architecture for all AI initiatives involving RAG pipelines, AI agents, NLP, and conversational AI.
 - Evaluate and integrate LLMs and APIs from OpenAI, Google Gemini, Anthropic (Claude), Mistral, and others.
 - Define frameworks for AI agent orchestration, prompt engineering, and function/tool calling workflows using frameworks like LangChain or LlamaIndex.
 - Establish standards for vector databases (Pinecone, FAISS, Chroma), embeddings, chunking strategies, and retrieval optimization.
 - Architect an AgentOps layer for monitoring, safety filtering, and AI model governance.
 
3. MLOps, PromptOps & DevOps Integration
- Implement CI/CD pipelines for AI models, prompts, and agents using Cloud Build, Terraform, and GitHub Actions.
 - Design PromptOps and MLOps pipelines to manage model lifecycle, versioning, rollback, and production promotion.
 - Define observability and monitoring mechanisms (OpenTelemetry, Cloud Monitoring, custom logs for LLM outputs).
 - Collaborate with DevOps engineers to define blue/green and canary deployments across environments.
 
4. Security, Compliance & Scalability
- Design tenant-isolated data layers using IAM, VPC-SC, and KMS encryption policies to meet regulatory standards (HIPAA, GxP, GDPR).
 - Implement data governance, access control, and threat detection mechanisms for AI-driven workflows.
 - Create performance optimization strategies: GPU/TPU allocation, autoscaling policies, token budgets, response caching, and FinOps visibility.
 
5. Cross-Functional Leadership
- Partner with Product Managers and Business Analysts to translate business requirements into architectural blueprints.
 - Work with UX/UI designers to ensure front-end experiences align with AI agent capabilities and backend APIs.
 - Provide architectural guidance and technical mentorship to developers, ensuring adherence to best practices across projects.
 - Contribute to platform evolution, reference architecture libraries, and reusable design patterns.
 
Key Skills & Qualifications
Technical Expertise
- Strong background in cloud architecture, specifically Google Cloud Platform (GCP)—Vertex AI, Cloud Run, Cloud Storage, IAM, Pub/Sub, BigQuery, VPC, and Cloud Functions.
 - Proficiency with Node.js, TypeScript, and API development for scalable microservices.
 - Deep understanding of LLMs, AI agent frameworks, retrieval-augmented generation (RAG), and vector search.
 - Experience with LangChain, LlamaIndex, CrewAI, and Agentic AI design patterns.
 - Strong understanding of data architecture, including NoSQL/SQL databases (MongoDB, Firestore, PostgreSQL).
 - Hands-on experience with container orchestration (Docker, Kubernetes) and Infrastructure-as-Code (Terraform).
 
Preferred Skills
- Prior experience designing multi-tenant SaaS platforms.
 - Exposure to frontend integration (Angular, React, or similar) and UI/UX flow understanding.
 - Knowledge of AI safety, risk frameworks, and prompt governance.
 - Strong analytical and communication skills for working across business and technical stakeholders.
 - Awareness of FinOps and cost optimization in token-based AI ecosystems.
 
Qualifications
- Bachelor’s or Master’s degree in Computer Science, AI, or Cloud Architecture.
 - 8–12 years of professional experience, with at least 3 years focused on AI platform architecture or enterprise-grade SaaS system design.
 
Certifications in GCP Professional Cloud Architect or Machine Learning Engineer are a plus.

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 TA Specialist  | 
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 Human Resources  | 
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 Total Experience  | 
 12-15 yrs  | 
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 RCP, Navi Mumbai  | 
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 Job Purpose  | 
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 This position shall be responsible for sourcing candidates through various channels, planning interview and selection procedures and hosting or participating in career events. To be successful in this role, the position holder should be able to develop long-term recruiting strategies and nurture trusting relationships with potential hires.  | 
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 Key Accountabilities: Most important task(s) accountable for; what must be accomplished  | 
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 · Plan and implement company’s https://www.talentlyft.com/en/resources/what-is-talent-acquisition">talent acquisition strategy · Develop company’s policy for talent benchmarking, talent assessment and interviewing · Conduct sourcing activities in order to fill open positions · Perform analysis of organizational development and anticipate future employment needs · Design and manage recruitment and selection processes (resume screening, screening calls, interviews etc.) · Reviews employment applications and background check reports · Counsel the candidate on corporate benefits, salary, and corporate environment · Manage respective candidate pools to ensure qualified candidates remain engaged in current or future opportunities · Generate monthly updates for company’s leadership about upcoming talent acquisition initiatives · Create monthly reports on key talent acquisition metrics · Work closely with marketing department to develop creative ways for addressing talent acquisition challenges · Proactively seek market intelligence to gain competitive advantage in attraction, assessment and sourcing methodologies  | 
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 Personal Profile: Personal qualities, skills required, previous experience  | 
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 · Proven work experience as a Talent Acquisition Specialist or similar role · Familiarity with social media, resume databases and professional networks (e.g. Naukri, LinkedIn, Moster, Indeed, Facebook etc.) · Hands-on experience with full-cycle recruiting using various interview techniques and evaluation methods · Knowledge of Applicant Tracking Systems (ATSs) · Excellent verbal and written communication skills · A keen understanding of the differences between various roles within organizations 
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 · Post-Graduation in Human Resource Management 
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We are looking for a Java backend developer who would be working on the bleeding edge of technologies. We work primarily with a fully reactive stack powered by Spring Webflux and Reactive MongoDb Repository in AWS. Our services follow both event based approaches as well as workflow based depending on the use case.
Responsibilities
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Requirements
- Must have a Bachelor’s degree in computer science or equivalent
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 - Must be proficient in Core Java and Spring/Springboot. Knowledge of Webflux is not mandatory.
 - Must have developed RESTful services
 - Should understand git
 
Added Bonus
- Experience working with microservices
 - Experience in a NoSql solution like MongoDB
 - Experience working with Python
 
What is the role?
You will be primarily responsible for creating the sales lead funnel across targeted geographies like USA, EMEA, APAC. This role will manage a team of SDRs and will need an experienced combination of demand generation, ABM, and SaaS sales expertise.
Key Responsibilities
- Develop, maintain, and execute demand generation plans aligned with business goals.
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What are we looking for?
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Whom will you work with?
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What can you look for?
A wholesome opportunity in a fast-paced environment will enable you to juggle between concepts yet maintain the quality of content, interact, share your ideas, and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the benefits of being at Xoxoday.
We are
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Way forward
We look forward to connecting with you. As you may take time to review this opportunity, we will wait for a reasonable time of around 3-5 days before we screen the collected applications and start lining up job discussions with the hiring manager. However, we assure you that we will attempt to maintain a reasonable time window for successfully closing this requirement. The candidates will be kept informed and updated on the feedback and application status.










