Business Development Executive

About Us:

We are not just an AD agency or a creative agency, we are a Communication Company. Founded in 2014, Moshi Moshi is a young, creative, gutsy, and committed communication company that wants its clients to always Expect the EXTRA from it. Our primary clientele consists of Startups and corporations like Ola, Zoomcar, Mercedes Benz, ITC, Aditya Birla Group, TATA Group, MTV, IHCL, Jaquar, Sobha, Simple Energy, and Godrej amongst others. We have a huge team of creative folks, marketers, learners, developers, and coders who believe Moshi Moshi is an experience rather than a company.

Job Role: Senior Script Writer

Experience Level: 3+ Years

Location: Bangalore, Karnataka (On-site).

Responsibilities -

● Understanding the brand objective and ideate the script accordingly

● Create scripts that can retain the viewers attention

● Create blueprints and details of the script based on concepts or ideas.

● Develop story elements to translate the creative vision into stories for production, with a deep

understanding of the storyline and target audience.

● Work closely with the production teams to review and revise the script to fit potential audience appeal

● He/She will be writing scripts for Ad films and Corporate films.

Requirement

● He/She is expected to manage edits within a short time frame.

● Minimum 3+ years of experience in scriptwriting

● Understand how products affect audiences and are familiar with current scripting and production formats.

● Should be familiar with script-writing guidelines and techniques to be able to develop a full-length script within required deadlines.

● Should know Final Draft

● Should have strong communication & Presentation skills

● Should also have a basic understanding on how to translate scripts to various visual media.

● Should possess strong grammar and writing capability.

● He/She should be a film maniac.

● Should be a good story teller.

● Should have a good knowledge of editing.

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).
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• Define the architecture for multi-tenant SaaS deployment—ensuring secure data boundaries across customers while maintaining a single codebase.
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• Collaborate closely with backend developers to optimize Node.js APIs, data pipelines, and event-driven microservices.
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• Design front-end integration flows and ensure UI/UX alignment with backend AI and agentic processes.
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2. AI / LLM / Agentic System Architecture

• Lead architecture for all AI initiatives involving RAG pipelines, AI agents, NLP, and conversational AI.
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• Evaluate and integrate LLMs and APIs from OpenAI, Google Gemini, Anthropic (Claude), Mistral, and others.
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• Define frameworks for AI agent orchestration, prompt engineering, and function/tool calling workflows using frameworks like LangChain or LlamaIndex.
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• Establish standards for vector databases (Pinecone, FAISS, Chroma), embeddings, chunking strategies, and retrieval optimization.
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• Architect an AgentOps layer for monitoring, safety filtering, and AI model governance.
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3. MLOps, PromptOps & DevOps Integration

• Implement CI/CD pipelines for AI models, prompts, and agents using Cloud Build, Terraform, and GitHub Actions.
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• Design PromptOps and MLOps pipelines to manage model lifecycle, versioning, rollback, and production promotion.
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• Define observability and monitoring mechanisms (OpenTelemetry, Cloud Monitoring, custom logs for LLM outputs).
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• Collaborate with DevOps engineers to define blue/green and canary deployments across environments.
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4. Security, Compliance & Scalability

• Design tenant-isolated data layers using IAM, VPC-SC, and KMS encryption policies to meet regulatory standards (HIPAA, GxP, GDPR).
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• Implement data governance, access control, and threat detection mechanisms for AI-driven workflows.
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• Create performance optimization strategies: GPU/TPU allocation, autoscaling policies, token budgets, response caching, and FinOps visibility.
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5. Cross-Functional Leadership

• Partner with Product Managers and Business Analysts to translate business requirements into architectural blueprints.
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• Work with UX/UI designers to ensure front-end experiences align with AI agent capabilities and backend APIs.
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• Provide architectural guidance and technical mentorship to developers, ensuring adherence to best practices across projects.
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• Contribute to platform evolution, reference architecture libraries, and reusable design patterns.
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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.
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• Proficiency with Node.js, TypeScript, and API development for scalable microservices.
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• Deep understanding of LLMs, AI agent frameworks, retrieval-augmented generation (RAG), and vector search.
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• Experience with LangChain, LlamaIndex, CrewAI, and Agentic AI design patterns.
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• Strong understanding of data architecture, including NoSQL/SQL databases (MongoDB, Firestore, PostgreSQL).
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• Hands-on experience with container orchestration (Docker, Kubernetes) and Infrastructure-as-Code (Terraform).
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Preferred Skills

• Prior experience designing multi-tenant SaaS platforms.
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• Exposure to frontend integration (Angular, React, or similar) and UI/UX flow understanding.
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• Knowledge of AI safety, risk frameworks, and prompt governance.
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• Strong analytical and communication skills for working across business and technical stakeholders.
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• Awareness of FinOps and cost optimization in token-based AI ecosystems.
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Qualifications

• Bachelor’s or Master’s degree in Computer Science, AI, or Cloud Architecture.
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• 8–12 years of professional experience, with at least 3 years focused on AI platform architecture or enterprise-grade SaaS system design.
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Certifications in GCP Professional Cloud Architect or Machine Learning Engineer are a plus.

Dotnet Developer:

Experience - 8 - 10 yrs

Immediate joiners

Location : Hyderabad (Hybrid)

Required Skills:

l Web application engineering using ASP .Net MVC, entity framework, WCF, . NET Core

l Should have worked on API creation and should be a hands-on full stack developer using JQUERY, etc

l MS SQL knowledge is mandatory

l Should have experience in client communication

l Should have experience in owning a product and good communication skills.

l Should have experience in using tools like JIRA, GIT etc.

Job Description

 - Payments: Monitoring processing of payments in a timely

manner by the Accounts Executive that you will be supervising

directly.

- Receivables: Monitoring collection of receivables in time. In

addition, oversee that pro-forma and tax invoices are raised

appropriately.

- Recording: Overseeing the accounting function in ensuring

that the P&L and Balance Sheet presents an accurate picture

of our accounts.

- Costing: Playing a crucial role in deriving the unit economics

for our range of products.

- Reporting: You will play a critical role in preparing monthly

management reports on metrics / sales /budgeting to various

process owners to enhance their decision making.

- Standard Operating Procedures (SOPs): You (along with the

CFO) will play a pivotal role in devising the processes by which

the Finance and Accounts function and the

functions/businesses it interacts with, will adhere. This

includes shifting towards more technology-driven processes in

order to streamline Finance and Accounting operations.

- Banking and Third-party Partners: Liaising and coordinating

with our banking partners and other third-party partners

related to Finance and Compliance work.

What we are looking for

 - 1-3 years of experience working in a Finance/Accounting

department of a company or for a Finance/Accounting

services firm.

- Master’s degree relevant to Finance/Accounting

- Excellent knowledge of financial statements and its

mechanics.

- A Team Player with a pro-active and a “go-getter” attitude.

- Critical thinker who comes up with pragmatic solutions with

respect to the task at hand.

- Demonstrable leadership skills in a professional environment.

- Command over MS Office applications (such as Excel, Word,

and Powerpoint) and excellent working knowledge of

accounting software (e.g. Tally).

- Excellent Verbal and Written English communication skills.

- An eye for detail

Job Description:

As Azure Lead Data Engineer, you will have to take over the key activities of designing, coding, and implementing data solutions in the platform. With a focus on leveraging DBT for data transformation and modelling, as well as expertise in MDM tools, you will play a pivotal role in architecting scalable and performant data pipelines and warehouses. You will collaborate closely with cross-functional teams to understand business requirements, architect data solutions, and ensure successful project delivery. You will be leading a team of skilled engineers who will collectively deliver scalable, highly dependable data solutions that can cater to the customers.

Responsibilities:

• Lead the design, development, and implementation of data solutions on the Microsoft Azure platform.
• Architect data pipelines, data warehouses, and data lakes using Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Blob Storage.
• Design and implement ETL processes to extract, transform, and load data from various sources into Azure data platforms, utilizing DBT for data transformation.
• Develop scalable and efficient data models to support analytics, reporting, and machine learning initiatives, with a strong emphasis on using DBT for modelling.
• Lead performance optimization efforts to ensure the efficient processing of large volumes of data.
• Mentor and coach junior team members, providing guidance on best practices, technical expertise, and professional development.
• Collaborate with stakeholders to understand business requirements and translate them into technical solutions.
• Stay abreast of emerging technologies and industry trends in data engineering and cloud computing.

Qualifications:

• BE Computer Science or a related field.
• ~10 years of experience in data engineering, designing, and implementing data solutions on the Microsoft Azure platform.
• Deep understanding of Azure services such as Azure Data Factory, Azure Databricks, Azure Synapse Analytics, and Azure Blob Storage.
• Proficiency in DBT (Data Build Tool) for data transformation and modelling.
• Experience working with any Master Data Management (MDM) tools.
• Experience with data governance and metadata management tools such as Azure Purview or similar.
• Proficiency in programming languages such as Python, Scala, or Java.
• Experience with big data technologies such as Hadoop, Spark, and Kafka.
• Strong leadership skills with the ability to lead and mentor a team of engineers.

• Drive the goals by understanding the requirements and preparing a robust test strategy
• Analyze and understand existing automation framework and automate manual test cases
• Upgrade/create a new reusable test framework using Java, Cucumber, Selenium as per functional requirements
• Analyze the business requirements and craft detailed level of test scenarios/cases/plan
• Carry out functional and regression testing
• Be responsible to handle multiple projects at the same time
• Complete STLC process with deliverable on time within excellent quality
• Requirement/Status communication with all the stakeholders like development team, business, product delivery team, senior management
• Good Experience in testing API and service side components
• BFSI Domain experience is MUST
• Highlight/Escalate the risk and issues in a timely manner In this role you will:
• Be responsible and held accountable for the quality of products developed by IT for our internal and external customer
• Help improve QA practices and processes by creating and maintaining documentation, QA templates, and other related artifacts
• Work in an Agile environment with distributed teams
• Maintain QA artifacts (such as documentation, etc.) and report QA metrics
• Be heavily involved with the Development teams during development, UAT teams during the acceptance testing, and Release Team for deployments and post-deployment QA
• Manage defect tracking for all software projects and assist with defect management by providing periodic updates to senior management as requested
• Be responsible for all QA resources
• Must remain up-to-date with relevant information and security practices within the industry and security training annually.

Skills:

• we are looking for a senior profile, a person having experience in testing API (Enterprise level product)
• Working knowledge of build automation tools like Maven, Gradle, Jenkins, etc.
• Expertise in version control tools like GIT.
• Using IDE's like IntelliJ, Eclipse, Spring tool suit, etc
• Expertise in web services technologies such as Restful with microservices architecture
• Good knowledge of SQL Database n
• Excellent communication, documentation, and organizational skills.
• Experience in a complex, large volume operation
• Excellent written and verbal communication skills
• Plan the timelines of delivery details of the Group/ Division project activities