Senior Automation developer

Key Responsibilities: Hands-on Solution Development: Take ownership of building and implementing robust,scalable, and intelligent automation solutions using UiPath, Power Automate, andPython-based AI frameworks. This is a coding-intensive role. Technical Execution: Drive the end-to-end technical delivery of sophisticated AI agentsand automation workflows, ensuring adherence to best practices, high-quality code, andinnovative design. AI/ML Component Implementation: Directly implement and integrate machinelearning models, NLP, computer vision, and other AI techniques (leveraging open-sourcePython libraries) into automation pipelines to enhance their intelligence and adaptability. Platform Contribution: Develop custom AI components and integrations using Python,while working with UiPath and Power Automate. System Integration: Handle the integration of AI agents with various enterprise systems,databases, APIs, and web services. Performance & Optimization Support: Assist in performance testing, optimization,and ensure the reliability and scalability of deployed agentic solutions through hands-ontuning and monitoring. Advanced Troubleshooting: Act as a key technical resource for diagnosing andresolving complex issues related to agent configuration, execution, AI model interactions,and underlying code. Technical Excellence: Contribute to setting the standard for technical excellence andinnovation within projects through your direct contributions and high-quality code. Continuous Learning: Research, experiment with, and apply emerging trends in agenticAI, LLMs, RPA, and related technologies to your development work.Mandatory Skills & Experience: Overall Experience: 3-7 years in IT, with a distinguished track record as a hands-onengineer/developer in automation and AI. RPA Expertise: 2+ years of intensive, hands-on experience developing complexautomation solutions using UiPath. Proven ability in bot creation, testing, anddeployment. Microsoft Power Platform: Strong, practical experience with Power Automate (Desktopand Cloud flows) for building and managing automated workflows. Python for AI/ML: Deep proficiency in Python and its ecosystem of open-sourcelibraries (e.g., Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch, Langchain, or similar)for hands-on development of AI/ML models and custom automation components. Agentic AI Implementation: Solid, practical understanding and demonstratedexperience in contributing to systems based on agentic AI principles. API and Service Integration: Extensive experience in personally developingintegrations with REST/SOAP APIs, databases (strong SQL proficiency required), andother enterprise applications. Advanced Problem-Solving: Exceptional analytical and troubleshooting skills, with atalent for dissecting and solving complex, multi-faceted technical problems in automationsolutions.Desired Skills & Experience (Added Advantage): .NET Experience: Familiarity or prior hands-on experience with the .NET framework. Database Management: Advanced SQL skills and experience with various databasesystems. Intelligent Document Processing (IDP): Experience with IDP tools (like UiPath DocumentUnderstanding, IQ Bot, or similar) and techniques. Cloud Platforms: Experience with cloud platforms (Azure, AWS, GCP) and their AI/MLservices. US Healthcare Domain: Knowledge of the US Healthcare industry and its specificautomation challenges. Agile Methodologies: Experience working effectively in Agile/Scrum developmentenvironments as a senior technical contributor. LLM Implementation: Practical, hands-on experience in integrating and fine-tuning Large- Language Models (LLMs) within automation solutions.