Business Development Executive

Job Description:

We are seeking a Cloud & AI Platform Engineer to design and operate AI-native infrastructure that supports large-scale machine learning, generative AI, and agentic AI systems. 

This role will focus on building secure, scalable, and automated multi-cloud platforms across AWS, Azure, GCP, and hybrid on-prem environments, enabling teams to deploy LLMs, AI agents, and data-driven applications reliably in production. 

You will work at the intersection of cloud engineering, MLOps, LLMOps, DevOps, and data infrastructure, helping build platforms that support RAG pipelines, vector search, AI model lifecycle management, and AI observability. 

Key Responsibilities

AI & Agentic Infrastructure 

• Design infrastructure to support agentic AI systems, autonomous agents, and multi-agent workflows. 
• Build scalable runtime environments for LLM orchestration frameworks. 
• Enable deployment of AI copilots, assistants, and autonomous decision systems. 

Common frameworks may include: 

• LangChain 
• LlamaIndex 
• AutoGPT 

LLMOps & AI Model Lifecycle 

Design and manage LLMOps pipelines for the full lifecycle of large language models: 

• Model deployment 
• Prompt management 
• Versioning 
• Evaluation and testing 
• Model monitoring 

Integrate with AI platforms such as: 

• Azure Machine Learning 
• Amazon SageMaker 
• Vertex AI 

Retrieval-Augmented Generation (RAG) Infrastructure 

Design and optimize RAG pipelines that integrate enterprise knowledge with LLMs. 

Responsibilities include: 

• Document ingestion pipelines 
• Embedding generation workflows 
• Knowledge indexing 
• Query orchestration 
• Retrieval optimization 
• Support scalable semantic search architectures. 

Vector Database & Knowledge Infrastructure 

Deploy and manage vector databases used for AI applications and semantic retrieval. 

Common technologies include: 

• Pinecone 
• Weaviate 
• Milvus 
• FAISS 

Responsibilities include: 

• Index optimization 
• Query latency tuning 
• Scalable embedding storage 
• Hybrid search architecture 

Multi-Cloud AI Infrastructure 

Design and maintain AI-ready infrastructure across: 

• Amazon Web Services 
• Microsoft Azure 
• Google Cloud Platform 

Key responsibilities include: 

• GPU infrastructure management 
• Distributed training environments 
• Hybrid cloud integrations with on-prem data centers 
• Infrastructure scaling for AI workloads 

Data Platforms & Integration 

• Support deployment and optimization of data lakes, data warehouses, and streaming platforms. 
• Work with data engineering teams to ensure secure and scalable data infrastructure. 

Cloud Architecture & Infrastructure 

• Design and implement scalable multi-cloud infrastructure across Azure, AWS, and Google Cloud. 
• Build hybrid cloud architectures integrating on-premise environments with cloud platforms. 
• Implement high availability, disaster recovery, and auto-scaling architectures for AI workloads. 

DevOps, Platform Engineering & Automation 

Build automated cloud infrastructure using modern DevOps practices. 

Tools may include: 

• Terraform 
• Docker 
• Kubernetes 
• GitHub Actions 

Responsibilities include: 

• Infrastructure as Code (IaC) 
• Automated deployments 
• CI/CD pipelines for AI models and services 
• Platform reliability and scalability 

AI Observability & Monitoring 

Implement observability frameworks to monitor AI systems in production. 

This includes: 

• Model performance monitoring 
• Prompt evaluation 
• Hallucination detection 
• Latency and throughput analysis 
• Cost monitoring for LLM usage 

Tools may include: 

• Arize AI 
• WhyLabs 
• Weights & Biases 

Security, Governance & Responsible AI 

Ensure AI systems follow strong governance and security practices. 

Responsibilities include: 

• Data privacy and compliance 
• Model governance frameworks 
• Secure model deployment 
• Monitoring model bias and drift 
• AI risk management 

Support enterprise frameworks for Responsible AI and AI compliance. 

Data & Security 

• Experience with data lake architectures, distributed storage, and ETL pipelines 
• Knowledge of data security, encryption, IAM, and compliance frameworks 
• Familiarity with AI governance and responsible AI practices 

Required Skills 

Cloud & Infrastructure 

• Strong experience in Azure (must have), AWS or GCP 
• Hybrid and multi-cloud architecture 
• GPU infrastructure management 

DevOps & Automation 

• Kubernetes 
• Docker 
• Terraform 
• CI/CD pipelines 

AI / ML Platforms 

• MLOps pipelines 
• Model deployment 
• Model monitoring 

AI Application Infrastructure 

• Vector databases 
• RAG pipelines 
• LLM orchestration frameworks 

Programming 

Experience in one or more languages: 

• Python 
• Go 
• Java 
• TypeScript 

Preferred Qualifications 

• Experience building AI copilots or autonomous agents 
• Knowledge of distributed model training - Knowledge of GPU infrastructure and distributed training 
• Familiarity with AI evaluation frameworks - Familiarity with model monitoring, drift detection, and AI observability 
• Experience building enterprise AI platforms 

Education & Experience 

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field 
• 4–8+ years experience in cloud infrastructure, DevOps, or platform engineering 
• Experience working in data-driven or AI-focused environments 

What Success Looks Like 

• Reliable ML model deployment pipelines - Reliable infrastructure for LLMs and AI agents, Scalable RAG knowledge platforms 
• Efficient multi-cloud infrastructure management - Fast deployment cycles for AI products 
• Secure and scalable AI-ready cloud platforms 
• Strong automation and governance across cloud and AI systems 

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: Influencer Marketing Intern 

Experience Level: Intern

Location: Bangalore, On-site 

Job Overview: 

The Influencer Marketing Manager will play a crucial role in developing and executing our influencer marketing strategy. You will be responsible for identifying, building relationships with, and managing influencers to promote our brand and products. 

Job Description: 

● Influencer & Meme Page Identification: Research and identify influences who align with our brand values and target audience. 

• Identify and connect with relevant influencers across platforms like Instagram, YouTube, and Linkedin
• Coordinate with influencers for content creation, approvals, and timely publishing
• Support end-to-end execution of influencer marketing campaigns
• Track campaign progress, follow up with stakeholders, and ensure timelines are met
• Work closely with internal teams to manage ongoing marketing projects
• Research social media trends and identify emerging creators
• Maintain campaign data, performance updates, and documentation
• Basic knowledge of Influencer Marketing metrics
• Familiarity with tools like Google Sheets, Google Docs & Slides

Strong UI / Product Designer profile, with good experience in designing Mobile Apps

Mandatory (Experience 1): Must have strong hands-on experience in UI Designing for B2C or SaaS Products

Mandatory (Experience 2): Must be very strong with Visual Designs and Design systems (Wireframing, Visual Designs & Design systems)

Mandatory (Core Skill) : Proficiency in Figma and other modern design tools for interface and interaction design.

Mandatory (Portfolio): Very strong portfolio of Visual / UI Design works for Mobile Apps of B2C or B2B SaaS products

Preferred

Preferred (Company): Top Design studios, and B2C Products

Preferred (Education): Design Education background (BDes / MDes)

• KSQL
• Data Engineering spectrum (Java/Spark)
• Spark Scala / Kafka Streaming
• Confluent Kafka components
• Basic understanding of Hadoop

About Aecor 

Since 2011, Aecor has helped businesses deliver and exceed their digital objectives. With offices in London (UK) and Gujarat (India), we leverage a pool of Global talent to deliver client solutions.

Aecor combines Senior UK leadership with the very best of Global engineering. We provide direct access to talented digital resources, helping to build teams to suit our client’s short or long-term business objectives.

Aecor offers a global resource pool of highly skilled individuals from within their specific fields of digital excellence.

Job Description:

As a member of Aecor’s front-end development team, you will collaborate with cross-functional teams across the agency on multiple accounts. The front-end team is a central player in bringing Aecor’s creative vision to life for our clients. You will execute high-quality technical solutions on time and on budget using modern development methods. You will help drive innovative and effective user experience through technology.

Responsibilities:

• Determining the structure and design of web pages.
• Designing user interactions on web pages.
• Building reusable code for future use.
• Developing features to enhance the user experience.
• Maintain and improve website
• Experience in developing responsive websites
• Experience with CSS preprocessors (e.g. Sass, Less)
• Experience building with a modern front-end frameworks
• Experience authoring native JavaScript
• Experience with jQuery or similar libraries
• Knowledge of accessibility and front-end performance best practices
• Experience with version control tools (e.g. SVN, Git, TFS)
• Work collaboratively with team members, designers, project managers and back-end developers to create engaging digital experiences
• Familiarity with Sketch, Figma.

Skills:

• 5+ years of relevant experience in Frontend. Relevant experience includes having worked on advanced Javascript and should not be limited to HTML/CSS
• Proficiency in HTML, CSS, JavaScript, and jQuery.
• 2+ years of relevant experience in Vue.js
• Preferred to have working knowledge of testing frameworks 
• Understanding of key design principles.
• Understanding of SEO principles.
• Experience with responsive and adaptive design.
• with JavaScript frameworks such as React JS, Vue.js and Angular.
• Good problem-solving skills.

Benefits:

• Health insurance.
• Personal accidental insurance.
• Discover a rewarding work/life balance.
• Flexible working hours in a motivational working environment.
• Access to an excellent leave policy and other associated benefits.
• Paid time off.
• Referral program.

Schedule:

• Monday to Friday

We are looking for Full Stack Developers. Candidate should be hands on with front end and backend Java technologies.( 2-10 years of exp).Designation will be Java Developer, Sr.Java Developer and Java Lead basis the years of experience.

We are Looking for below skills,

Must Have’s

1. JSP, JS, Servlets, CSS, HTML, JQUERY
2. MVC, Struts, Application Servers ( JBOSS/WebSphere), REST Services
3. OOPS Concepts & Core JAVA
4. Basic SQL
5. Good Analytical Skills

Good to Have

1. REACT, ANGULAR
2. Explain Plan/ Query Tuning
3. Jenkins, Maven

Developer will work collaboratively with other developers, Product Managers, designers and SMEs, owning all aspects of product development from requirement gathering, coding, testing and deployment. This specific role will be responsible for developing required applications and supporting them in DevOps model. - Work with product manager and stakeholders to analyze user stories - Participate in team activities to estimate and plan sprints - Implement stories and work with team to meet sprint goals - Write unit tests and contribute to ongoing testing needs. - Ongoing support of capabilities following DevSecOps practices. Prior knowledge in Finance or electronic Payment area is preferred but not necessary.

• Required Skills: Javascript, node.js, vue.js, Postgres, AWS RDS, AWS LAMDA, SNS, SQS
• “Nice to have” Skills: Datadog, Material Design, Kafka
• Open to remote candidates or do they need to be on site when the site re-opens? Open to remote

About Us

We Innvoage Technology Private Limited, incorporated in the year 2021, with a dream to revolutionise the Fintech industry by our innovative solutions in the field of online transactions. Our Vision is to “Be the most trusted and innovative service provider in the payment industry, with smoothest and most convenient to use interface and to offer unparalleled solutions to our valued customers in all our markets.”

We are looking for a core team to be the lead developers for our Payment Gateway Solution - UPayI.

Job Responsibilities

• Take UI designer's images and transfer it into html + JS + CSS code
• Use Laravel view template
• Modify WordPress theme, or plugin's template
• Other web frontend tasks

Required Skills

• JavaScript, we use Vue in our project mainly and use jQuery for some projects.
• Bootstrap 4 and Bootstrap 5.
• Must be familiar with AJAX and API calling (ITS VERY IMPORTANT)
• Must be familiar with Laravel View template.