
EXCITED ABOUT YOUR TASKS?
● Connect with potential clients to evaluate needs or promote products and services
● Meeting or exceeding sales goals
● Negotiating all contracts with prospective clients
● Helping determine pricing schedules for quotes, promotions, and negotiations
● Preparing weekly and monthly reports
● Giving sales presentations to a range of prospective clients
● Coordinating sales efforts with marketing programs
● Understanding and promoting company programs
● Obtaining deposits and balance of payment from clients
● Preparing and submitting sales contracts for orders
● Maintaining client records
● Answering client questions about credit terms, products, prices, and availability.
WILL YOU NEED TO SUCCEED?
● Bachelor’s degree in business or management
● Successful track record in B2B sales and negotiation
● A commitment to excellent client service
● Excellent verbal and written communication skills
● Proficiency with data analysis, forecasting, and budgeting
● Proven ability to plan and manage resources
● Proficiency in Microsoft Office applications, including Word, Excel, and PowerPoint.

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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.
Skill set Key words
Java17, Java Spring Boot, Kubernetes/AKS/Docker(Knowledge), Microservices, (MongoDB/DynamoDB)
Role and Resposbilities :
• Hands on experience in Java back-end development and skills with Spring-boot framework
• Real life experience with Continuous Delivery principles and related tools (Kubernetes, AKS, Docker)
• Expertise with Microservices design
• Understanding of the Design Patterns, Architectural Blueprints, UML and Application Design
• Experience in stateful application and web sessions
• Experience with MongoDB, DynamoDB
• Excellent communication skills and an ability to work in a team
Responsibilities:
Creative Content Writer with experienced and good writing skills like Web Pages Content writer, blogs etc
Writing, editing and publishing engaging posts for social media networks (e.g. Facebook, Instagram and Twitter etc)
Optimizing social media content (language, message, tone) on the basis of the behavior of our target audience
Selecting appealing graphics and videos for complementing text
Responding to comments and questions on social media channels in a respectful and timely manner
Tracking and reporting on social media insights (e.g. traffic, engagement, conversion rates, shares etc.)
Applying advertising techniques for increasing brand awareness (e.g. promotions, competitions)
Updating our social media with the latest news
Coordinating with internal teams for creating advertising posts (e.g. for product releases, events and open roles)
Requirements:
At least a Bachelor’s degree in Marketing, , Journalism or a relevant field
Proven work experience as a Senior Content writer or Copywriter
Experience of working with MS Office and design software (e.g. Illustrator, Photoshop, InDesign, etc.)
Experience with various social networks and platforms for advertisement purposes
Sound knowledge of keyword research, SEO and analytics tools, especially Google Analytics
Ability to create innovative web content, supported by relevant images and videos
Familiarity with paid advertisement
Proficiency in English
Strong verbal as well as written communication skills
Exceptional time-management and organizational skills
A keen eye for details
An analytical mind with a problem-solving attitude
Presentable

We are looking for passionate engineers and researchers that want to contribute in this exciting and fast moving field of Deep Learning and Research.
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