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.

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Procurement contracts review and remediation for any changes due to GDPR, Schrems II, LIBOR etc.
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Contract negotiation support and outreach post remediation of impacted contracts
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Conduct contract risk review and gap analysis and identify potential impact
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Relevant experience and expertise to handle routine queries associated with Framework Agreements, Outsourcing Agreements, Work Orders, Land Collaterals, Facility Letters, Personal Life Events, General Collaterals, etc for Software license/maintenance/support, Hardware purchase/support, Telecommunications, Technology services, Data centers, Cloud computing/SaaS, HR services, Commercial/customer propositions, Professional services (including consultancy), Utility services etc.
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Undertaking reviews directly for high profile, urgent and/or complex contract / SOWs (where applicable);
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Enabling application of Contract Lifecycle Management tools and processes to reviewed/created contracts including Metrics, Allocation, Risk Tracking and Traceability;
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Competence in broad range of banking and business laws
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Excellent communication and interpersonal abilities.
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Proficient computer skills
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2. Assemble large, complex data sets that meet business requirements
3. Identify, design, and implement internal process improvements
4. Optimize data delivery and re-design infrastructure for greater scalability
5. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies
6. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
7. Work with internal and external stakeholders to assist with data-related technical issues and support data infrastructure needs
8. Create data tools for analytics and data scientist team members
Skills Required:
1. Working knowledge of ETL on any cloud (Azure / AWS / GCP)
2. Proficient in Python (Programming / Scripting)
3. Good understanding of any of the data warehousing concepts (Snowflake / AWS Redshift / Azure Synapse Analytics / Google Big Query / Hive)
4. In-depth understanding of principles of database structure
5. Good understanding of any of the ETL technologies (Informatica PowerCenter / AWS Glue / Data Factory / SSIS / Spark / Matillion / Talend / Azure)
6. Proficient in SQL (query solving)
7. Knowledge in Change case Management / Version Control – (VSS / DevOps / TFS / GitHub, Bit bucket, CICD Jenkin)
Roles and responsibilities :
1. Proficient communication (verbal and written)
2. Knowledge or experience in the field of sales and marketing
3. Developing growth strategies and plans
4. Managing and retaining relationships with existing corporate clients and Increasing client base
5. Good time management skills
6. Must develop a thorough knowledge of the business and pitch them to the companies
* Immediate joiners will be appreciated
* Salary with good incentives (Much above industry standard) We strongly believe you can earn more through incentives than fixed salary if you dedicatedly work.
About the Role:
We are hiring a high spirited Operations Executive, to spearhead operations in India and begin rapid expansion across Indian Cities. The individual should be proficient at and enjoy solving complex problems and execute at grass roots along with the team. The objective is to implement fleet protocols, optimise vehicle utilisation and grow the fleet size as HelpNow continues to accelerate across the country.
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Streamlining and managing our ambulance fleet.
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Expanding operations and launch of the service in new cities.
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Procuring more ambulance vehicles, drivers, medical staff and service vendors in each city.
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Optimising arrival times and fleet occupancy percentage.
- Ensure gold standards for our vehicles and groom the fleet staff for a great patient experience.
The candidate should have minimum 3 years of experience in:
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Managing large vehicle fleets and drivers.
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Working in a technology-based organisation.
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Prior experience of managing multi-city fleets and teams.
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Work at a hyper growth startup (Series-A or further)










