On-site
Full Time
Key Responsibilities:
Hands-on Solution Development: Take ownership of building and implementing robust,
scalable, and intelligent automation solutions using UiPath, Power Automate, and
Python-based AI frameworks. This is a coding-intensive role.
Technical Execution: Drive the end-to-end technical delivery of sophisticated AI agents
and automation workflows, ensuring adherence to best practices, high-quality code, and
innovative design.
AI/ML Component Implementation: Directly implement and integrate machine
learning models, NLP, computer vision, and other AI techniques (leveraging open-source
Python 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-on
tuning and monitoring.
Advanced Troubleshooting: Act as a key technical resource for diagnosing and
resolving complex issues related to agent configuration, execution, AI model interactions,
and underlying code.
Technical Excellence: Contribute to setting the standard for technical excellence and
innovation within projects through your direct contributions and high-quality code.
Continuous Learning: Research, experiment with, and apply emerging trends in agentic
AI, 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-on
engineer/developer in automation and AI.
RPA Expertise: 2+ years of intensive, hands-on experience developing complex
automation solutions using UiPath. Proven ability in bot creation, testing, and
deployment.
Microsoft Power Platform: Strong, practical experience with Power Automate (Desktop
and Cloud flows) for building and managing automated workflows.
Python for AI/ML: Deep proficiency in Python and its ecosystem of open-source
libraries (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 demonstrated
experience in contributing to systems based on agentic AI principles.
API and Service Integration: Extensive experience in personally developing
integrations with REST/SOAP APIs, databases (strong SQL proficiency required), and
other enterprise applications.
Advanced Problem-Solving: Exceptional analytical and troubleshooting skills, with a
talent for dissecting and solving complex, multi-faceted technical problems in automation
solutions.
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 database
systems.
Intelligent Document Processing (IDP): Experience with IDP tools (like UiPath Document
Understanding, IQ Bot, or similar) and techniques.
Cloud Platforms: Experience with cloud platforms (Azure, AWS, GCP) and their AI/ML
services.
US Healthcare Domain: Knowledge of the US Healthcare industry and its specific
automation challenges.
Agile Methodologies: Experience working effectively in Agile/Scrum development
environments as a senior technical contributor.
LLM Implementation: Practical, hands-on experience in integrating and fine-tuning Large
NIBODHAH
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