Hudson IT and Manpower

• Develop and implement new features while maintaining software quality • Participate in Agile ceremonies and team activities • Contribute to documentation and knowledge sharing within the team • Participate in code reviews and follow engineering best practices • Stay updated on emerging technologies and tools • Investigate and resolve production and customer issues • Collaborate with cross-functional teams and stakeholders • Follow SDLC processes and security best practices • Ensure adherence to organizational risk and compliance guidelines • Perform other duties as assigned

• Lead manual and automation testing efforts across multiple projects • Define test strategies, estimations, schedules, and resource planning • Perform risk-based testing and support release sign-off activities • Participate in test design reviews, defect triage, and stakeholder communication • Mentor team members on testing best practices and automation standards • Manage test case management, test execution tracking, and defect lifecycle management

• Developing prototypes, PoCs, and MVPs using AI/ML knowledge and tools • Building, fine-tuning, evaluating, and deploying LLMs • Designing and working with RAG systems • Creating agent-based systems using frameworks like LangGraph and CrewAI • Collaborating in a team environment for AI-driven applications and solutions

• Build PoCs, MVPs, and production-grade applications using Generative AI technologies • Work with Large Language Models (LLMs) including fine-tuning, deployment, and evaluation • Design and implement AI-powered solutions using OpenAI APIs, LangChain, and Hugging Face • Develop and optimize agentic AI workflows using frameworks like LangGraph, CrewAI, etc. • Build multi-modal AI solutions integrating text, image, and other data types • Collaborate with cross-functional teams to translate business requirements into AI solutions • Ensure performance, scalability, and reliability of AI systems

• Build PoCs, MVPs, and production-grade applications using Generative AI technologies • Work with Large Language Models (LLMs) including fine-tuning, deployment, and evaluation • Design and implement AI-powered solutions using OpenAI APIs, LangChain, and Hugging Face • Develop and optimize agentic AI workflows using frameworks like LangGraph, CrewAI, etc. • Build multi-modal AI solutions integrating text, image, and other data types • Collaborate with cross-functional teams to translate business requirements into AI solutions • Ensure performance, scalability, and reliability of AI systems

• Design and implement a reusable approach to SAP Fieldglass Test Automation and the associated framework • Coach and mentor others on the adoption of SAP Fieldglass Test Automation technologies and techniques • Analyze and understand SAP Fieldglass Testing Procedures and Requirements • Develop and execute SAP Fieldglass Test Cases, Test Automation, and Automation Scripts • Identify, document, and conduct follow-ups on bugs and quality issues • Develop test plans and write automation test cases wherever needed • Regularly revisit SAP Fieldglass test cases and strategy to incorporate the latest product functionality • Report on SAP Fieldglass testing status and results • Manage customer relationships and ensure customer satisfaction

• Play a key role in building and maintaining solutions using the entire Power Platform suite, including Power Apps, Power Automate, Power Virtual Agents, Power BI, and Dataverse. • Collaborate with cross-functional teams. • Deliver high-quality solutions. • Ensure that the solutions align with the clients’ business needs and objectives. • Contribute to both development and strategic projects.

• Build, modify, and support internal applications • Write, test, debug, and document code • Work directly with users to gather requirements and design solutions • Participate in code reviews and testing activities • Track assigned work and deliver features on time

• Manage planning and execution of multiple strategic initiatives/programs • Drive prioritization, scope control, and resource allocation • Develop program plans, including financial justification • Establish communication strategy and program governance • Ensure accountability and timely delivery of milestones • Coordinate cross-functional teams (technology, business, operations) • Identify risks/issues and drive resolution with escalation as needed • Manage project dependencies and stakeholder alignment • Facilitate communication across teams and leadership • Drive enterprise-level change initiatives