Business Development Executive

Job Title : Applied AI Engineer (AI/ML & LLM Deployment)

Experience : 4+ Years

Location : Remote

Job Summary :

We are looking for an Applied AI Engineer with strong expertise in Large Language Models (LLMs) to design, optimize, and deploy advanced AI solutions. The role focuses on LLM integration, fine-tuning, and performance optimization for scalable production use.

Mandatory Skills :

LLM Integration, Prompt Engineering, LangChain/LlamaIndex, Fine-tuning & LoRA, Model Quantization, Local Deployment, Tokenizers, Performance Optimization.

Key Responsibilities :

• Integrate GPT-4, Claude, and open-source LLMs into applications.
• Design and implement prompt engineering for context-specific, tone-appropriate outputs.
• Build AI pipelines using LangChain, LlamaIndex, or similar frameworks.
• Perform fine-tuning and LoRA (Low-Rank Adaptation) to customize models.
• Apply model quantization (GGML, GPTQ, bitsandbytes) for efficient deployment.
• Deploy models with Hugging Face Transformers, vLLM, llama.cpp.
• Optimize tokenization and inference performance for low latency.

Required Skills :

• Strong hands-on experience with LLMs (OpenAI GPT-4, Claude, open-source models).
• Proficiency in Prompt Engineering and tone-specific output design.
• Experience with LangChain, LlamaIndex, or other orchestration frameworks.
• Knowledge of fine-tuning, LoRA techniques, and quantization methods.
• Familiarity with deployment frameworks (Transformers, vLLM, llama.cpp).
• Strong understanding of tokenizers and efficient text preprocessing.
• Ability to optimize models for real-time, low-latency inference.
• Solid programming skills in Python and experience with PyTorch/TensorFlow.

Nice to Have :

• Exposure to MLOps tools (Docker, Kubernetes, CI/CD for AI).
• Experience with evaluation frameworks for LLMs.
• Knowledge of multi-modal models (text, vision, audio).

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 Executive

Experience Level: 1+ years

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 influencers who align with our

brand values and target audience.

● Relationship Building: Establish and maintain strong relationships with influencers through effective communication and collaboration.

● Campaign Development: Create and execute influencer marketing campaigns that drive brand awareness, engagement, and sales.

● Content Creation and Curation: Collaborate with influencers to create high-quality content

that resonates with our audience.

● Performance Tracking and Analysis: Monitor and analyze the performance of influencer

campaigns to measure ROI and optimize future strategies.

● Budget Management: Manage the influencer marketing budget effectively and allocate funds

to maximize results.

● Industry Trends: Stay up-to-date with the latest trends and best practices in influencer

marketing.

Creative & Art Direction

• Define and drive the visual style, tone, and overall artistic direction across projects.
• Develop moodboards, style references, and design treatments aligned with brand identity and campaign objectives.
• Collaborate with creative directors, producers, and directors to bring storyboards and visual concepts to life.
• Oversee set design, props, styling, and visual aesthetics for all production outputs.
• Ensure consistency in visual tone and quality across multiple projects and formats.

We are hiring an SAP PP Consultant to manage and support Production Planning (PP) processes including MRP, BOM, routing, capacity planning, and production orders. The role includes configuration, integration, and user support.

Description

Job Summary

We are seeking a visionary Senior AI Engineer with a minimum of 3+ years of experience to lead the development of an advanced AI system leveraging CrewAI and LangChain tools to build intelligent, collaborative multi-agent systems for the logistics domain. The role includes designing AI agents capable of handling complex tasks, optimizing workflows, and conducting A/B and beta testing to ensure robust, scalable performance under diverse conditions. This is an opportunity to shape cutting-edge AI systems and revolutionize logistics operations.

Responsibilities:

1. Design & Architecture:

 Architect and implement a multi-agent AI system using CrewAI for task collaboration, communication, and real-time logistics optimization.

 Integrate LangChain tools for natural language understanding, contextual reasoning, and knowledge retrieval.

 Ensure the system is designed to allow comprehensive testing, iteration, and improvement.

2. AI Agent Development:

 Develop autonomous agents capable of dynamic decision-making, task delegation, and seamless inter-agent communication.

 Use LangChain to enhance agent capabilities, such as reasoning over unstructured data and interfacing with external knowledge bases.

3. A/B Testing & Experimentation:

 Design and execute A/B tests to compare AI agent strategies, workflows, and decision-making models under varying scenarios.

 Develop and implement metrics for evaluating system performance (e.g., latency, accuracy, scalability).

 Use experimentation frameworks to test hypotheses and gather insights on system improvements.

4. Beta Testing & Real-World Simulation:

 Set up controlled beta testing environments that mimic real-world logistics operations.

 Simulate edge cases, bottlenecks, and high-load scenarios to ensure system robustness and scalability.

 Gather feedback from beta users and iterate on the system to address discovered issues.

5. Progress Demonstration:

 Develop dashboards and visualizations to showcase key performance indicators (KPIs) and test results.

 Implement tools to log and track agent interactions, decision outcomes, and error rates in real-time.

 Regularly present progress to stakeholders, highlighting improvements and areas for refinement.

6. Optimization & Scalability:

 Optimize multi-agent interactions and resource allocation for real-world logistics challenges.

 Ensure the system scales seamlessly for complex operations involving high volumes of agents and data.

7. Integration:

 Seamlessly integrate the multi-agent system with logistics platforms, such as Transportation Management Systems (TMS) and Warehouse Management Systems (WMS).

 Use LangChain tools to connect agents to APIs, external knowledge graphs, and live data streams.

8. Collaboration & Leadership:

 Lead a team of engineers in developing advanced AI solutions, mentoring them on testing frameworks and innovative technologies like CrewAI and LangChain.

 Collaborate with cross-functional teams to align AI development with business needs.

9. Research & Innovation:

 Stay updated on the latest advancements in multi-agent systems, LangChain, CrewAI, and testing frameworks.

 Introduce cutting-edge techniques to continuously improve the AI system’s performance.

Required Qualifications:

Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field (Ph.D. preferred).

Experience:

• 3+ years in AI development, with experience in multi-agent systems, logistics, or related fields.

• Proven experience in conducting A/B testing and beta testing for AI systems.

• Hands-on experience with CrewAI and LangChain tools.

• Should have hands-on experience working with end-to-end chatbot development, specifically with Agentic and RAG-based chatbots. It is essential that the candidate has been involved in the entire lifecycle of chatbot creation, from design to deployment.

• Should have practical experience with LLM application deployment.

Technical Skills:

• Proficiency in Python and machine learning frameworks (e.g., TensorFlow, PyTorch).

• Strong understanding of A/B testing platforms and methodologies for AI systems.

• Expertise in building beta testing pipelines and real-world simulation environments.

• Familiarity with distributed systems, reinforcement learning, and natural language processing (NLP).

• Proficiency in using LangChain tools for chaining tasks, knowledge retrieval, and reasoning.

• Proficiency with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes).

• Good to have experience in Cursor & MCP.

• Experience in setting up monitoring dashboards with tools like Grafana, Tableau, or similar.

Preferred Qualifications:

 Experience in logistics systems, such as route optimization, shipment tracking, and demand forecasting.

 Familiarity with graph theory, network optimization, and blockchain for agent security.

 Background in designing scalable systems tested under diverse operational conditions.

Soft Skills:

 Strong analytical and problem-solving abilities.

 Ability to communicate technical concepts effectively to stakeholders.

 Leadership skills for mentoring teams and guiding project execution.

We are looking for a candidate who can join the team immediately and is strongly experienced as a Salesforce Business Analyst.

Job Description:

• Assisting in defining, developing, and implementing the Salesforce strategic roadmap and the releases of features for Salesforce and integrated systems
• Identify customer needs, take detailed business requirements from global SFDC CI stakeholders and provide guidance on business processes to the team
• Write user stories, own and prioritize the backlog and translate business needs into technical requirements for the scrum team
• Assist in managing the scrum team and sprint planning/execution, working closely with the scrum master
• Communicate with stakeholders regarding the product roadmap, timelines and status of requests
• Working closely with Salesforce Field Support to communicate enhancements and defect fixes with end users
• Articulate and track value delivered to business stakeholders – lean thinking

1. As a Pre-Sales Engineer, you will be responsible for designing and drafting systems for Technical Proposals brought in by the sales team, ensuring that quotes are technically correct before submitting to clients.
2. Preparation of proposal based on the RFP / RFQ docs and Understand the CAD drawing.
3. Generate BOQ, Compliance Statement, system descriptions, schematic drawings, material / technical submittal, system programming such as Crestron, Extron, Bose and other OEM products etc.
4. Provide sales and technical staff with technical support on both a pre- and post-sales basis
5. Communicate and interact with internal employees, clients and colleagues in a professional and timely manner.
6. Conduct or attend a Site visit and Site surveys when needed.
7. Develop and maintain knowledge of current and new technologies that company offers.

Job Description: Full Stack Developer – RattanIndia Technologies Private Limited

Based at: New Delhi

Overview:

Required Full Stack developer with 3 to 6 years of experience with competencies in development of web applications in financial services domain on salesforce development platform and shall be responsible for requirement analysis, design, coding, testing and implementation of web applications.

Key Accountabilities:

• Working closely with business teams on the analysis to understand the requirements.
• Shall be responsible for designing, coding, testing and implementation of web application.
• Will be responsible for system design and application development of web applications.
• Work closely with the product managers and other team members to build features, functionality, and application.
• Design and implementation of low-latency, high-availability, and high performance applications.
• Implementation of security and data protection.
• Demonstrate creativity and sound analytical skills in identifying effective approaches to develop solutions independently.
• Deliver features with high quality, on-time as per project plans and delivery commitments.
• Delivering status updates to the management and stakeholders regularly.
• Demonstrate creativity and sound analytical skills in identifying effective approaches to develop solutions independently.

Academic Qualification:

• Tech Computer Science/MCA from Top Tier Institutes.

Skillset Requirements:

• Expertise with Node.JS and associated technologies such as React and Express.
• Fluent in HTML5, CSS3, and JavaScript
• Experience with SQL (Postgres) data models
• Extensive experience developing and working with REST APIs.
• Experience working in a DevOps environment and using tools like Travis, Jenkins.
• Solid experience with containerization using Docker and Kubernetes.
• Proficiency with source control and team collaboration tools (GitHub, Asana, Jira, Slack)
• Experience with data interchange formats such as XML or JSON.
• Solid Experience with AWS, Heroku and Salesforce.

About RattanIndia ltd.

For Details visit: http://www.rattanindia.com">www.rattanindia.com

https://rattanindia.in/">https://rattanindia.in/

• Measure the sales effectiveness efforts using data science/app/digital nudges.
• Should be able to work on the clickstream data
• Should be well versed and willing to work hands-on various Machine Learning techniques

Skills

• Ability to lead a team of 5-6 members.
• Ability to work with large data sets and present conclusions to key stakeholders.
• Develop a clear understanding of the client’s business issue to inform the best approach to the problem.
• Root-cause analysis
• Define data requirements for creating a model and understand the business problem
• Clean, aggregate, analyze, interpret data and carry out quality analysis of it
• Set up data for predictive/prescriptive analysis
• Development of AI/ML models or statistical/econometric models.
• Working along with the team members
• Looking for insight and creating a presentation to demonstrate these insights
• Supporting development and maintenance of proprietary marketing techniques and other knowledge development projects.

Job Description

• Hands on Experience of More than ​2+ Years with Core PHP, Laravel, Vue js
• Developing user-facing applications using Vue.js.
• Experience in Datastores like Mysql, Redis.
• Utilize backend data services and contribute to increasing existing data services API.
• IT Service based Projects with international client handling.

Desirable skills:

• Experience in developing the clientside application Vue.js.
• Indepth knowledge of objectoriented PHP and Laravel 5.
• Good knowledge of Cloud computing technologies.
• PHP Framework.
• Handson experience with SQL schema design, SOLID principles, REST API design.
• MySQL query optimization.
• Creative and efficient problem solver.
• Good team player.
• Strong Communication skills.
• Ability to write emails and should be able to chat with the client.
• PM tools knowledge like JIRA, trello, basecamp would be a plus.