Executive Assistant to COO

Role Objective

We are looking for a proactive InfoSec Associate to support our compliance and audit functions. You will play a key role in maintaining our ISO standards, handling vendor security assessments, and ensuring our documentation is audit-ready for our banking and NBFC clients.

Key Responsibilities

• Audit Support: Assist in internal and external audits for ISO 27001, SOC2, and ISO 27701.
• Vendor Compliance: Independently handle and respond to detailed Vendor Security Questionnaires from banks and NBFCs.
• Evidence Management: Collect, organize, and present technical audit evidence from engineering and IT teams.
• Policy & Documentation: Help draft and review Security Policies, SOPs, and ISMS documentation.
• Risk Tracking: Track audit observations and manage the Corrective Action Plan (CAPA) to ensure timely remediation.
• Data Privacy: Assist in aligning internal processes with the DPDP Act and GDPR requirements.

Required Skills & Competencies

• Framework Knowledge: Basic understanding of ISO 27001 and Risk Assessment principles.
• Technical Literacy: Ability to understand AWS/Azure cloud security settings from a compliance standpoint.
• Documentation: High proficiency in organizing audit trails and drafting professional security reports.
• Communication: Comfortable interacting with external auditors and internal technical teams.

Preferred Certifications (Good to Have)

• ISO 27001 Internal Auditor
• CompTIA Security+
• CISA (In-progress/Foundation)

Role Summary

We are looking for a business analyst with proven experience delivering enterprise-class customer relationship management (CRM) and customer experience (CX) solutions across local, state, and other public sectors.

The ideal candidate should be comfortable owning end-to-end delivery from requirement to deployment.

Key Responsibilities

•  Lead requirement-gathering sessions, stakeholder discussions, and functional analysis.
• Manage end-to-end delivery of CRM/CX implementations including case management, service requests, workflows, dashboards, and agent desktop functionality.
• Configure and maintain CRM/CX platform modules- translate business rules into workflows, queues, and cross-channel routing logic.
• Coordinate with business stakeholders, development, QA, and support teams to ensure smooth project execution and delivery.
• Manage escalations, defect tracking, issue resolution, and proactive client communication throughout the project lifecycle.
• Plan and support UAT, regression testing, release validation, and production go-live activities.
• Track project activities and issues using JIRA or similar tool in an Agile/Scrum environment.

Skills & Qualifications

• 4 + years of experience in Business Analysis and project coordination, preferably on enterprise CRM or CX platform implementations.
• Hands-on experience with an enterprise CRM/CX platform covering case management, workflows, dashboards etc
• Familiarity with cross-channel service delivery such as web, social, and service channel integration within a unified CRM/CX environment.
•  Exposure to enterprise application ecosystems (ERP, cloud infrastructure, or related platforms) is a strong advantage.
• Proven ability to manage escalations, defect lifecycles, and cross-functional coordination independently.
• Proficient with JIRA, Zoho, or similar tools for Agile/Scrum tracking; strong documentation and written communication skills.

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.

Roles & Responsibilities:

Promoting the company's existing brands and introducing new products to the market.

Researching and developing marketing opportunities and plans, understanding consumer requirements, identifying market trends, and suggesting system improvements to achieve the company's marketing goals.

Gathering, investigating, and summarizing market data and trends to draft reports.

Implementing new sales plans and advertising.

Product Marketing, catalog management,

Inventory management

Dynamic price Management

Knowledge, skills, and attributes

Bachelor degree/ Management

6 months to 1 year of relevant Work Experience, 

2022 Passout candidates, Internship in related field.

Great communication skills 

Experience in FMCG industry is a plus. 

Bangalore based candidates from Tire 1 and Tire 2 colleges

Key Skills:

Strong communication and interpersonal skills. Especially the ability to work cross-departments to achieve results

Strong Project management skills

Ability to get things done

Self Driven

Analytical oriented

Ability to merge creative and analytical insights

Strong creative bent of mind. 

Communicate clear decisions, next steps, and accountability

Desired Candidate Profile

• Degree in Ayurveda
• Interest for and experience in creative copywriting
• Good organizational, self and time-management skills
• Ability to multi-task and follow deadlines
• Willingness to learn skills outside of comfort zone
• Willingness to grow in a fast-paced environment
• Not afraid of challenges and hard work
• Reliable team player with a sense of ownership
• Attention to detail
• Ability to take initiative