Social Media Marketer

Job Title : Senior AWS Data Engineer

Experience : 5+ Years

Location : Gurugram

Employment Type : Full-Time

Job Summary :

Seeking a Senior AWS Data Engineer with expertise in AWS to design, build, and optimize scalable data pipelines and data architectures. The ideal candidate will have experience in ETL/ELT, data warehousing, and big data technologies.

Key Responsibilities :

• Build and optimize data pipelines using AWS (Glue, EMR, Redshift, S3, etc.).
• Maintain data lakes & warehouses for analytics.
• Ensure data integrity through quality checks.
• Collaborate with data scientists & engineers to deliver solutions.

Qualifications :

• 7+ Years in Data Engineering.
• Expertise in AWS services, SQL, Python, Spark, Kafka.
• Experience with CI/CD, DevOps practices.
• Strong problem-solving skills.

Preferred Skills :

• Experience with Snowflake, Databricks.
• Knowledge of BI tools (Tableau, Power BI).
• Healthcare/Insurance domain experience is a plus.

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.

JOB Role : Senior Platform Consultant

Essential Skills :

• Expertise in SFMC Email Marketing Tool
• Good Experience in SQL
• Experience in Data model design
• Expertise in Campaign Orchestration
• Life cycle programs and personalization
• Expertise in Marketing data optimization and List cleansing
• Experience in Data optimization and Hygiene
• Experience in Personalization in campaigns
• Good Business understanding of Digital Marketing
• Excellent communication skills
• Preferably with SFMC Certification (Marketing Cloud Specialist or Email Specialist)

Role Description :

• The person will be required to work on SFMC platform for creating and executing marketing campaigns.
• Ability to work independently and work directly with Marketing teams
• Drive the strategy for the email program to deliver strong engagement and results, through audience segmentation, deliverability, best practices, and data analysis.
• Analyse the effectiveness of Digital Marketing deliverables, measures against objectives and reports results.
• Flawless delivery of daily campaigns, troubleshoot issues that arise and implement solutions to mitigate future problems

• Conduct market research to identify selling possibilities and evaluate customer needs
• Actively seek out new sales opportunities
• Set up meetings with potential clients and listen to their concerns
• Create frequent reviews and reports with sales and financial data
• Ensure the availability of stock for sales and demonstrations
• Participate on behalf of the company in exhibitions or conferences
• Negotiate/close deals and handle complaints or objections
• Collaborate with team members to achieve better results
• Gather feedback from customers or prospects and share it with internal teams

Requirements

• Proven experience as a Sales Executive or relevant role
• Proficiency in English
• Excellent knowledge of MS Office
• Thorough understanding of marketing and negotiating techniques
• Fast learner and passion for sales
• Self-motivated with a results-driven approach
• Aptitude in delivering attractive presentations
• Graduate from any stream with relevant experience is preferred

• As a DevOps engineer, you will be responsible for
• Automated provisioning of infrastructure in AWS/Azure/OpenStack environments.
• Creation of CI/CD pipelines to ensure smooth delivery of projects.
• Proactive Monitoring of overall infrastructure (Logs/Resources etc)
• Deployment of application to various cloud environments.
• Should be able to lead/guide a team towards achieving goals and meeting the milestones defined.
• Practice and implement best practices in every aspect of project deliverable.
• Keeping yourself up to date with new frameworks and tools and enabling the team to use them.

Skills Required

• Experience in Automation of CI/CD processes using tools such as GIT, Gerrit, Jenkins, CircleCI, Azure Pipeline, Gitlab
• Experience in working with AWS and Azure platforms and Cloud-Native automation tools such as AWS cloud formation and Azure Resource Manager.
• Experience in monitoring solutions such as ELK Stack, Splunk, Nagios, Zabbix, Prometheus
• Web Server/Application Server deployments and administration.
• Good Communication, Team Handling, Problem-solving, Work Ethic, and Creativity.
• Work experience of at least 1 year in the following are mandatory.

If you do not have the relevant experience, please do not apply.

• Any cloud provider (AWS, GCP, Azure, OpenStack)
• Any of the configuration management tools (Ansible, Chef, Puppet, Terraform, Powershell DSC)
• Scripting languages (PHP, Python, Shell, Bash, etc.?
• Docker or Kubernetes
• Troubleshoot and debug infrastructure Network and operating system issues.