Business Analyst

Job Description:

We are looking for a Senior Java Developer with strong expertise in Apache Kafka and backend systems. The ideal candidate will have hands-on experience in Java (8/11+), Spring Boot, and building scalable, real-time data pipelines using Kafka.

Key Responsibilities:

• Develop and maintain backend services using Java and Spring Boot
• Design and implement Kafka-based messaging and streaming solutions
• Optimize Kafka performance (topics, partitions, consumers)
• Collaborate with cross-functional teams to deliver scalable microservices
• Ensure code quality and maintain best practices in a distributed environment

Required Skills:

• 6+ years in Java development
• 3+ years of hands-on Kafka experience (producers, consumers, streams)
• Strong knowledge of Spring Boot, REST APIs, and microservices
• Familiarity with Kafka Connect, Schema Registry, and stream processing
• Experience with containerization (Docker), CI/CD, and cloud platforms (AWS/GCP/Azure)

We are looking for a skilled Java Developer with hands-on experience in Java, Spring Boot, and Microservices architecture to join our dynamic development team. The ideal candidate will be responsible for designing, developing, and maintaining high-performance, scalable applications that meet the needs of modern enterprise systems.

Key Responsibilities:

💠Design, develop, test, and deploy Java-based applications using Spring Boot and Microservices.

💠Collaborate with product managers, architects, and cross-functional teams to understand requirements and deliver solutions.

💠Build and maintain RESTful APIs for various business functionalities.

💠Participate in code reviews, debugging, and performance tuning.

💠Ensure best practices in code quality, security, and software development lifecycle (SDLC).

💠Maintain and improve existing systems and troubleshoot issues as needed.

💠Implement and manage containerized applications (e.g., using Docker, Kubernetes) where applicable.

💠Integrate third-party APIs and work with database systems (SQL and/or NoSQL).

💠Monitor and maintain application performance and scalability.

Required Skills & Qualifications:

💠Bachelors/Masters degree in Computer Science, Engineering, or related field.

💠Strong proficiency with Spring Boot and the broader Spring Framework.

💠Proven experience in building and deploying Microservices.

💠Knowledge of RESTful web services and API design.

💠Experience with databases like MySQL, PostgreSQL, or MongoDB.

💠Familiarity with CI/CD tools (e.g., Jenkins, GitLab CI) and version control systems like Git.

💠Understanding of containerization tools (Docker, Kubernetes is a plus).

💠Strong problem-solving and 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.

Key Responsibilities:

• You will be acting as part of a team to develop software solutions using Scrum methodology in 2-week sprints.
• Turn user stories, feature requests and defect reports into quality software changes for our customers.
• Develop software solutions by conferring with product owners, understanding system behavior, and proposing solutions while following the software development lifecycle.
• Design, develop, modify, implement, and support software components anywhere in the software stack.
• Determine root cause for the most complex software issues and develop practical, efficient, and permanent technical solutions.
• Remain current on new technologies and available vendor packages. Evaluate and make recommendations as necessary.
• Participate in Scrum development process and work towards continually improving the process.
• Determine process improvements, best practices, and develop new processes.
• Work in close partnership with cross-functional teams and management.

Ideal Experience:

• Extensive experience in design, development and testing of web-based enterprise systems using .NET technologies.
• Experience with Azure Cloud technologies and SaaS product development.
• Excellent communication skills both written and verbal
• A desire to solve complex problems with elegant solutions
• The ability to work well with a team of motivated, smart people

.Net core-3years experience, OOA, Coding, Web API, Rest API, any cloud, any DB

• Designs, codes, tests, debugs, and documents software according to systems quality standards, policies and procedures.
• Analyzes business needs and creates software solutions.
• Responsible for preparing design documentation.
• Prepares test data for unit, string, and parallel testing.
• Evaluates and recommends software and hardware solutions to meet user needs. Resolves customer issues with software solutions and responds to suggestions for improvements and enhancements.
• Works with business and development teams to clarify requirements to ensure testability. Drafts revise and maintain test plans, test cases, and automated test scripts.
• Executes test procedures according to software requirements specifications
• Logs defects and makes recommendations to address defects.
• Retests software corrections to ensure problems are resolved.

• Identity Access Management (IAM)/SailPoint IIQ  Implementation and Governance
• Java development
• Role -Base Access Control (RBAC)
• Custom / OOTB connector development experience
• Integration experience with JDBC, Active Directory, ServiceNow, Mainframe  ACF2