Software Asset Management

About Us :

CLOUDSUFI, a Google Cloud Premier Partner, a Data Science and Product Engineering organization building Products and Solutions for Technology and Enterprise industries. We firmly believe in the power of data to transform businesses and make better decisions. We combine unmatched experience in business processes with cutting edge infrastructure and cloud services. We partner with our customers to monetize their data and make enterprise data dance.

Our Values :

We are a passionate and empathetic team that prioritizes human values. Our purpose is to elevate the quality of lives for our family, customers, partners and the community.

Equal Opportunity Statement :

CLOUDSUFI is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified candidates receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, and national origin status. We provide equal opportunities in employment, advancement, and all other areas of our workplace.

Role : Lead AI/Senior Engineer-AI

Location : Noida, Delhi/NCR

Experience : 5- 12 years

Education : BTech / BE / MCA / MSc Computer Science

Must Haves :

Conversational AI & NLU :

- Advanced proficiency with Dialogflow CX

- Intent classification, entity extraction, conversation flow design

- Experience building structured dialogue flows with routing logic CCAI platform familiarity

Agentic AI & Multi-Step Reasoning :

- Production experience with Google ADK (or LangChain/LangGraph equivalent)

- Multi-step reasoning and tool orchestration capability

- Tool-use patterns and function calling implementation

RAG Systems & Knowledge Management :

- Hands-on Vertex AI RAG Engine experience (or equivalent)

- Semantic search, chunking strategies, retrieval optimization

- Document processing pipelines (PDF parsing, chunking)

LLM/GenAI & Prompt Engineering :

- Production experience with Gemini models

- Advanced prompt engineering for customer support

- Langfuse experience for prompt management

Google Cloud Platform & Vertex AI :

- Advanced Vertex AI proficiency (Generative AI APIs, Agent Engine)

- Cloud Functions and Cloud Run deployment experience

- BigQuery for conversation analytics

API Integration :

- Genesys Cloud CX integration experience

- REST API design and webhook implementation

- Enterprise authentication patterns (OAuth 2.0)

Good To Have :

Conversational AI & NLU :

- Multi-language support implementation (Spanish/English)

- Telephony integration (speech recognition, TTS, DTMF)

- Barge-in handling and voice optimization

Agentic AI :

- Agent state management and session persistence

- Advanced fallback strategies and error recovery

- Dynamic tool selection and evaluation

RAG Systems :

- Re-ranking and advanced retrieval quality metrics

- Query expansion and context-aware retrieval

- Corpus organization strategies

LLM/GenAI :

- Prompt versioning, A/B testing, iterative refinement

- Prompt injection mitigation strategies

- In-context learning, few-shot, chain-of-thought techniques

LLMOps & Observability :

- Vertex AI Evaluation Service experience

- Groundedness, relevance, coherence, safety metrics

- Trace-level debugging with Cloud Trace

- Centralized logging strategies

Google Cloud :

- Application Integration connectors

- VPC Service Controls and enterprise security

- Cloud Pub/Sub for event-driven systems

Enterprise Integration :

- Third-party AI agent orchestration (SAP Joule, ServiceNow AI, Agentforce)

- Salesforce, SAP, ServiceNow integration patterns

- Context passage strategies for escalations

Architecture & System Design :

- Configuration-driven systems (Meta-Agent patterns)

- Microservices and containerization

- Scalable, multi-tenant system design

- Disaster recovery and failover strategies

Product Quality & KPIs :

- Customer support metrics expertise (CSAT, SSR, escalation rate)

- A/B testing and experimentation frameworks

- User feedback loop implementation

Deliverables :

- Architecture Design : End-to-end platform architecture, data flow diagrams, Dialogflow CX vs. ADK routing decisions

- Conversational Flows : 15+ dialogue flows covering billing, networking, appointments, troubleshooting, and escalations

- ADK Agent Implementation : Complex reasoning agents for technical support, account analysis, and context preparation

- RAG Pipeline : Document processing, chunking configuration, corpus organization (product docs, support articles, policies, promotions)

- Prompt Management : System prompts, Langfuse setup, playbook governance, version control

- Quality Framework : Evaluation pipeline, metrics dashboards, automated assessment, continuous improvement recommendations

- Integration Layer : Genesys handoff, webhook integrations, Application Integration setup, session management

- Testing & Validation : Conversation flow tests, performance testing (latency, throughput, 1000 concurrent users), security validation

- Response time <2 seconds (p95), 99.9% uptime, 1000 concurrent conversations

- Data encryption (TLS 1.2+, AES-256 at rest), PII redaction, 1-year data retention

- Graceful degradation and fallback mechanisms

MUST-HAVES:

• 5+ years of professional experience in web development.
• Strong proficiency in React.js and the Next.js framework.
• Solid understanding of JavaScript (ES6+), HTML5, Tailwind and TypeScript.
• Experience with server-side rendering (SSR) and static site generation (SSG).
• Familiarity with state management libraries (e.g., Redux, Context API).
• Proficient with version control systems like Git.
• Experience with modern build tools and package managers (e.g., Webpack, Babel, NPM/Yarn).
• Familiarity with API integration (REST, GraphQL).
• Strong understanding of web performance optimization techniques.
• Knowledge of testing frameworks (e.g., Playwright, Jest, Cypress).
• Ability to work in an Agile environment, collaborate with cross-functional teams, and deliver high-quality code under tight deadlines.

SKILLS: REACT, REACT NATIVE, PLATFORM INTEGRATION, JAVASCRIPT

Notice Period: 0-15 Days only

Additional Guidelines:

Interview process: - 2 Technical round + 1 Client round

3 days in office, Hybrid model.

JOB DESCRIPTION:

We are seeking a highly skilled Senior Web Developer with deep expertise in React and Next.js to join our growing team. The ideal candidate will have extensive experience in building high-quality, scalable web applications and will take ownership of both frontend development and architecture. As a Senior Developer, you will collaborate closely with product managers, designers, and other developers to deliver robust and performant solutions. Your ability to solve complex problems, optimize web performance, and mentor junior developers will be key to success in this role.

KEY RESPONSIBILITIES:

• Design, develop, and maintain web applications using React and Next.js.
• Architect and optimize web pages for speed and scalability.
• Build reusable components and front-end libraries for future use.
• Implement server-side rendering and static site generation using Next.js.
• Collaborate with the backend team to integrate APIs and ensure seamless front-end and back-end communication.
• Ensure the technical feasibility of UI/UX designs and implement pixel-perfect user interfaces.
• Work with product teams to build features that improve user engagement and satisfaction.
• Troubleshoot, debug, and upgrade existing systems.
• Provide technical leadership and mentorship to junior developers.
• Stay up-to-date with the latest web development trends, frameworks, and tools.

REQUIREMENTS:

• 5+ years of professional experience in web development.
• Strong proficiency in React.js and the Next.js framework.
• Solid understanding of JavaScript (ES6+), HTML5, Tailwind and TypeScript.
• Experience with server-side rendering (SSR)and static site generation (SSG).
• Familiarity with state management libraries (e.g., Redux, Context API).
• Proficient with version control systems like Git.
• Experience with modern build tools and package managers (e.g., Webpack, Babel, NPM/Yarn).
• Familiarity with API integration (REST, GraphQL).
• Strong understanding of web performance optimization techniques.
• Knowledge of testing frameworks (e.g., Playwright, Jest, Cypress).
• Ability to work in an Agile environment, collaborate with cross-functional teams, and deliver high-quality code under tight deadlines.

PREFERRED QUALIFICATIONS:

• Experience with Next.js API routes and serverless functions.
• Familiarity with cloud platforms (e.g., AWS, Vercel) and CI/CD pipelines.
• Experience with modern CSS frameworks (e.g., Tailwind, Styled Components).
• Knowledge of SEO best practices for React and Next.js applications.
• Contributions to open-source projects or a portfolio of personal projects.

About the Role

We are looking for a Senior iOS Engineer to build and own the trading experience on iOS in Swift — real-time

data via Combine, interactive charting, smooth animations, and the premium feel expected of a financial

application. What We’re Looking For

You have shipped native Swift apps that handle real-time data, complex reactive pipelines, and

performance-sensitive UI. You know UIKit and SwiftUI deeply and can bridge between them confidently. Ideally, you have worked on trading, fintech, or data-intensive iOS products. You take ownership of your domain, drive

technical decisions, and hold yourself and your team to a high quality bar. What You’ll Do

• Own the mobile trading experience on iOS — module architecture, navigation, performance, and

end-to-end quality. • Build and optimize real-time data rendering using Combine — WebSocket streams, subscription

management, and efficient SwiftUI/UIKit binding. • Integrate complex WKWebView-based components with JavaScript–Swift message passing. • Collaborate with product and design to deliver polished, trust-building interfaces for a financial product. • Define iOS engineering standards — architecture patterns, testing strategy, accessibility, and

performance benchmarks. • Drive code reviews, mentor team members, and champion best practices across the iOS team. • Participate in stabilization and release cycles — Instruments profiling, device matrix testing, and

regression analysis. Must-Have

• 4+ years native iOS development with Swift in production apps on the App Store. • Strong Combine experience for reactive programming, data streams, and async coordination. • Experience with both SwiftUI and UIKit — ability to compose views and bridge between the two. • Experience with real-time data rendering and WebSocket integration on iOS. • Experience integrating WKWebView with JavaScript bridge (WKScriptMessageHandler). • Understanding of iOS architecture patterns — MVVM, Coordinator, Clean Architecture. • Experience with push notifications (APNs), deep linking, and Universal Links.

Nice-to-Have

• Prior experience building trading, brokerage, or fintech iOS apps. • Experience with charting library integration on iOS. • Experience building custom UI components — animated charts, calendar views, card-based layouts. • Knowledge of server-driven UI (SDUI) patterns for dynamic rendering. • Familiarity with accessibility best practices (VoiceOver, Dynamic Type). Tech Stack

Language Swift 5.9+

UI SwiftUI + UIKit (hybrid)

Reactive Combine, async/await

Real-time URLSessionWebSocketTask / Starscream, Combine streams

Charting Charting library via WKWebView bridge

Testing XCTest, XCUITest (E2E), Instruments profiling

About Moative

Moative, an Applied AI Services company, designs AI roadmaps, builds co-pilots and predictive AI solutions for companies in energy, utilities, packaging, commerce, and other primary industries. Through Moative Labs, we aspire to build micro-products and launch AI startups in vertical markets. 

We have built and sold two companies, one of which was an AI company. Our founders and leaders are Math PhDs, Ivy League University Alumni, Ex-Googlers, and successful entrepreneurs.

Work you’ll do

As a data scientist, you will lead data-driven projects, design and develop advanced analytical frameworks and AI/ML solutions to address business problems. You will collaborate with product managers, engineers and domain experts to deliver intelligent solutions and products.

You’ll analyze new opportunities and ideas, evaluate new AI/ ML models/ frameworks/ platforms, conduct experiments, develop PoCs and prototypes.

As a Data Scientist, you will provide your advanced expertise on statistical and mathematical concepts and guide the team in AI/ML algorithms and model development. You will stay up-to-date with the latest advancements in data science, machine learning, and AI.

The ideal candidate will have a strong background in statistics, machine learning, and programming, as well as excellent business understanding and product design thinking skills. If you are passionate about data and have a proven track record of delivering impactful data solutions, we would love to hear from you.

Responsibilities

• Frame problems before you model them. You will define the problem structure, identify the right success metric, and map failure modes — data drift, integration cost, adoption friction — before a single model is trained. Post-mortems are not your primary output; pre-mortems are.
• Own delivery end-to-end, including deployment. You will take models from scoping through production. If your best work is a notebook that never shipped, this role is not for you. You will own the last mile: deployment, monitoring, iteration in production.
• Sit embedded in client teams and hold the room. You will join client standups, present modelling choices to client leadership, and defend or revise your approach on the spot. You will be the technical voice accountable for outcomes — not a back-office supplier of models.
• Build accelerators and reusable frameworks, not one-offs. You will identify repeatable patterns across engagements and convert them into tools, templates, and internal infrastructure that make the next delivery faster and more defensible.
• Write and communicate with precision across audiences. You will produce decision memos, model cards, and post-mortems that are specific enough for an engineer and clear enough for a CFO. You will cover trade-offs, assumptions, and risks — in the same meeting, for both rooms, without dumbing either one down.
• Drive ML lifecycle discipline. You will establish and enforce best practices across model development, versioning, evaluation, and monitoring — and raise the bar for how the team thinks about model quality and production readiness.

Who you are

You are a data scientist who is passionate about using AI/ML to improve processes, products and delight customers. You have experience working with less than clean data, developing ML models, and orchestrating the deployment of them to production. You thrive on taking initiatives, are very comfortable with ambiguity and can passionately defend your decisions.

Requirements and skills

• 2+ years of hands-on data science with shipped production models. Evidence of models that moved from development to deployment with measurable business impact. "Worked on" does not qualify — you must have owned the outcome.
• Consumer-scale domain depth in a regulated or operationally sensitive business. Direct experience with one or more of: credit risk and portfolio modelling (PD/LGD/EAD, scorecards, alternative-data underwriting, collections or behavioural scoring) or retail and commerce modelling (demand forecasting with seasonality and promo effects, assortment and markdown optimisation, customer segmentation and LTV, returns prediction, pricing elasticity). You can read a delinquency curve, or a sell-through curve, or a cohort retention plot and know what it implies for the next model decision and the next business decision
• Production GenAI and agentic system experience beyond prompt engineering. Hands-on with retrieval design, eval harnesses, guardrails, and fine-tuning vs. prompting trade-offs. You understand the observability and cost discipline required to run these systems in production. Prompt engineering alone does not qualify.
• Cloud and MLOps fluency. Proficient across at least one major cloud (AWS, Azure, or GCP) and experienced with MLOps tooling — MLflow, model registries, CI/CD for ML, and drift monitoring in production.
• Client-facing delivery experience. Has worked directly with external clients or business stakeholders — not just internal teams. Comfortable presenting technical choices, fielding pushback, and adjusting in real time without losing the thread.
• Structural problem framing, not just modelling skill. Demonstrates the ability to define what problem is actually worth solving, choose the right analytical approach for the business context, and articulate why alternative approaches were rejected.

Working at Moative

Moative is a young company, but we believe strongly in thinking long-term, while acting with urgency. Our ethos is rooted in innovation, efficiency and high-quality outcomes. We believe the future of work is AI-augmented and boundary less.

Here are some of our guiding principles:

• Think in decades. Act in hours. As an independent company, our moat is time. While our decisions are for the long-term horizon, our execution will be fast – measured in hours and days, not weeks and months.
• Own the canvas. Throw yourself in to build, fix or improve – anything that isn’t done right, irrespective of who did it. Be selfish about improving across the organization – because once the rot sets in, we waste years in surgery and recovery.
• Use data or don’t use data. Use data where you ought to but not as a ‘cover-my-back’ political tool. Be capable of making decisions with partial or limited data. Get better at intuition and pattern-matching. Whichever way you go, be mostly right about it.
• Avoid work about work. Process creeps on purpose, unless we constantly question it. We are deliberate about committing to rituals that take time away from the actual work. We truly believe that a meeting that could be an email, should be an email and you don’t need a person with the highest title to say that out loud.
• High revenue per person. We work backwards from this metric. Our default is to automate instead of hiring. We multi-skill our people to own more outcomes than hiring someone who has less to do. We don’t like squatting and hoarding that comes in the form of hiring for growth. High revenue per person comes from high quality work from everyone. We demand it.

If this role and our work is of interest to you, please apply here. We encourage you to apply even if you believe you do not meet all the requirements listed above.

The position is based out of Chennai. Our work currently involves significant in-person collaboration and we expect you to be present in the city.

Job Title: Field Network Engineer Department

Location: IT department | IT department | Siddipet, Medak, Sangareddy, Vikarabad, Rangareddy, Narayanpet, Mahabubnagar, Wanaparthy, Nagarkurnool, Jogulamba, Gadwal, Medchal, Malkajgiri, and Hyderabad.

Reports to: Senior Network Engineer

Days/Hours of work: 9 Hrs (Monday to Saturday)

Salary Range: 2.52 LPA to 2.76 LPA

Requirement Bike and Driving License (Compulsory)

Summary of Position: - 1. Resolve, repair and install fiber optics systems and ensure that they work properly

2. Examine and replace faulty and old fiber optic cables and take care of fiber splicing and rectify fiber optic problem areas

3. Installation of Cisco router and switches

4. Installation of OLT and ONT devices

5. Cabling of Fibre optics cable.

Primary Responsibilities

• Cisco(Router & Switch)
• Network Devices (OLT & ONT)
• LAN and WAN experience
• Fiber Optics Cabling

Personal Specification

Any Graduate

Experience 0-1 year

Product Knowledge: Cisco, Router, Cisco Switch, Fiber Cable

Competencies 

Language Hindi and English (Written and Oral).

Job Description

Arré is looking for a sharp creative mind that lives on social media and can create/collaborate on diverse, multiformat, multimedia storytelling in a distinctive and unique voice, catering to the urban genz.

• The job entails an end-to-end ownership of Arré social media channels and all content (whether produced by Arré, Arré Studio, or any of the upcoming verticals of Arré) published on social media (FB, Twitter, Instagram, Youtube, Linkedin, Snapchat, Substack etc.)
• Ideating on the content calender with the creative team. The social media person will be looked upon to provide on-point insights into social content trends
• Executing posts and copies, ensuring consistency of the Arré tone of voice
• Tracking of metrics - followers, engagement
• Where required, be able to run promotional campaigns on the social media platforms
• Active contribution into the development of a short-format content slate including collaboration with other social pages, talent and influencers
• Tracking opportunities for Arré to enter awards/ competitions for its content
• Working with Arré’s partners (OTT platforms) where required to collaborate on promotional activities on shows from Arré Studio 

Are you passionate about using technology to make people's lives better? Are you interested in becoming a part of one of the hottest trends in the world of start-ups today? Are you excited about joining the online ultra-fast grocery delivery service business pioneer and driving the trend forward? Then this may be the right opportunity for you.

Role and Responsibilities

1. Ensures correct adaptation of Agile practices at the team level.
2. Coaches the Product Manager on Product Backlog management.
3. Leads the team to remove impediments to reach the sprint goal.
4. Organizes the agile rituals and ceremonies, and makes sure that it is applied correctly within the team. If necessary, facilitates these rituals.
5. Guides the team in organizing motivational and inclusive events.
6. Supports onboarding of the new people who joined the team.
7. Guides the team for continuous improvement (Kaizen).
8. Responsible for the correct flow of the team’s processes and workflow.
9. Helps the team visualize its performance, impediments, and processes.
   
   Requirements

1. BTech or MTech degree in engineering or relevant fields
2. Having deep knowledge in the Agile mindset.
3. Experience in working and applying Agile for a minimum of 2 years in a software development team is required (Scrum Master role is preferred).
4. Confidence in working with multiple Agile teams.
5. Strong communication, interpersonal and mentoring skills.
6. Excellent analytical thinking, problem-solving, and facilitation skills.
7. Excellent command of written and spoken English.
8. Certification of the following is a plus: PSM, PSPO, PSK, PAL, PMI-ACP, etc.
   
   Who You Are

1. Passionate about technology, processes, and making an impact.
2. A perpetual learner, who stretches their boundaries and enjoys new ideas.
3. A doer who takes initiative to help the teams achieve their goals regardless of boundaries, and works well in a team.