Content Writer

Job Title: HRMS Sales Specialist

Location: Gurgaon (Work from Office)

Experience: 1–5 Years

Education: Any Graduate

Joining: Immediate to 20 Days

Company: Watsoo Express Pvt. Ltd.

Job Overview:

Watsoo Express Pvt. Ltd. is seeking a motivated and results-driven HRMS Sales Specialist to join our on-site sales team in Gurgaon. The ideal candidate will have prior experience in selling HRMS or SaaS solutions and a strong passion for client engagement and technology-driven HR transformation.

Key Responsibilities:

Identify, qualify, and close new business opportunities for HRMS and IT solutions

Conduct product presentations, demos, and client consultations

Generate leads through cold calling, referrals, campaigns, and networking

Understand client requirements and suggest appropriate HRMS solutions

Collaborate with internal product and technical teams to ensure successful onboarding and delivery

Maintain accurate sales pipelines and reports using CRM tools

Achieve and exceed monthly/quarterly sales targets

Requirements:

1–5 years of experience in IT Sales, HRMS Sales, or SaaS B2B Sales

Excellent verbal and written communication skills

Strong consultative selling and relationship-building abilities

Understanding of HRMS software, payroll systems, and employee management tools

Proficiency with Microsoft Office, CRM tools, and digital sales channels

Highly motivated, self-driven, and ready to work from our Gurgaon office

Immediate joiners preferred (within 20 days max)

What We Offer:

Opportunity to work in a dynamic and growing logistics-tech company

Exposure to cutting-edge HR and IT solutions

Competitive salary and performance-based incentives

Collaborative and fast-paced work environment

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.

Dynamic technical leader who can lead a cutting-edge product development team that is tasked with building world class business applications. This role reports to the CTO and will be responsible for engineering one of the key products lines of SmartDocs. 

Key Responsibilities: 

• Manage the end-to-end engineering process to ensure the product releases are released successfully as per the published product roadmap  
• Coordinate requirements prioritization and product managers 
• Release products with proper quality  
• Coordinate code reviews and ensure proper development guidelines are adhered to 
• Coordinate QA testing with QA teams 
• Coordinate proper documentation is released 
• Coordinate with DevOps engineers to maintain proper development landscape 
• Nurture and expand the dynamic development team that is nimble and can meet the requirements of the product managers 
  
  

Key experience and required skills: 

• At least 2 years' experience managing successful development teams building modern web applications in the role of “Developer Manager” or Engineering Manager” or higher 
• Experience as a senior Java developer for at least 2 years with full hands-on development experience 
• Excellent understanding of modern web application architectures and architecture patterns 
• Expertise in Agile and agile-type processes 
• Experience being part of SaaS product development is a definite plus 
• Significant experience in management reporting and communication to executive leadership teams 
  
  

Success Factors 

The ideal candidate would have been part of one or more startups that delivered modern web applications, preferably SaaS products in enterprise space. The ideal candidate will be a proper mix of management skills and technical prowess.  

What we offer 

SmartDocs is a modern progressive product company with the mission of delivering awesome Procure to Pay platform to medium and large enterprises to optimize and streamline business processes. We offer: 

• Awesome workplace  
• Cool benefits 
• Cutting tech stack 
• Socially Impactful products 
• Multiple learning opportunities 
  
  

What we expect 

We are looking for a dynamic leader with the following key traits 

• Responsibility 
• Accountability 
• Flexibility 
• Team player 
• Awesome communication skills