Generative AI and Robotic Process Automation Developer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, develop, and implement robotic process automation solutions utilizing UiPath.

• Analyze business workflows to pinpoint automation possibilities and create Technical Design Documents.

• Construct reusable automation components and oversee UiPath robot configurations.

• Collect requirements from business stakeholders and enhance workflows.

• Test, debug, maintain, monitor, and support RPA solutions and their production deployments.

• Develop and deploy generative AI applications using AWS Bedrock, Ask Sage, or comparable services.

• Design and execute AI-driven solutions leveraging large language models.

• Create and optimize prompts, fine-tune models, and implement retrieval-augmented generation.

• Develop secure APIs, pipelines, and microservices for AI-enabled functionalities.

• Integrate AI features with business applications and RPA workflows.

• Adhere to Responsible AI principles and ensure compliance with DoD AI Ethical Principles, the DoD Responsible AI Toolkit, and RMF security controls.

• Assist in data readiness through cleansing, cataloging, labeling, and governance of AI training datasets.

• Collaborate with cross-functional teams on the integration of RPA and AI.

• Engage in architecture decisions and technology selection processes.

• Document technical specifications, deployment guides, and best practices.

• Mentor junior developers and offer technical guidance.

• Stay updated with the latest trends in RPA, AI, and cloud computing technologies.

⛳️ Requirements

• Ability to obtain an Active Secret Security Clearance.

• Bachelor’s degree in computer science, Data Science, or a related field (Master’s preferred).

• Over 5 years of experience in software development with proven AI/GenAI project involvement.

• At least 2 years of hands-on experience with UiPath (Studio, Orchestrator, Robot).

• More than 1 year of experience with AWS services, particularly AWS Bedrock, Lambda, API Gateway, S3, and other essential AWS services.

• Proven ability to implement prompt engineering and fine-tuning techniques for LLMs.

• Strong programming proficiency in Python and C#/.NET.

• Experience with REST APIs, JSON, and web services integration.

• Familiarity with database technologies (SQL Server, PostgreSQL, etc.).

• Understanding of CI/CD pipelines and version control (Git).

• Experience with cloud-native architectures and containerization (Docker).

• Strong analytical and problem-solving capabilities.

• Excellent communication and documentation skills.

• Preferred: UiPath certification, AWS AI/ML services, AWS certifications, machine learning frameworks, low-code/no-code platforms, DevOps and infrastructure-as-code, Agile/Scrum, business process analysis and optimization.

🏝️ Benefits

• Medical, dental, and vision insurance.

• 401(k) retirement plan.

• Paid time off.

• Paid parental leave.

• Life and disability insurance.

• Flexible spending accounts.

• Commuter benefits.

• Tuition reimbursement.

• Remote work opportunity.

• Competitive compensation.

• Opportunities for UiPath certification and AWS certification are considered preferred qualifications.