Generative AI and Robotic Process Automation Developer

Koniag Government Services  ยท  via Devremote
๐ŸŒŽ Remote โฐ Full Time

Job Description:

  • Design, develop, and deploy robotic process automation solutions using UiPath
  • Analyze business processes to identify automation opportunities and create Technical Design Documents
  • Build reusable automation components and maintain UiPath robot configurations
  • Gather requirements from business stakeholders and optimize workflows
  • Test, debug, maintain, monitor, and support RPA solutions and production deployments
  • Develop and deploy generative AI applications using AWS Bedrock, Ask Sage, or similar services
  • Design and implement AI-powered solutions using large language models
  • Build and optimize prompts, fine-tune models, and implement retrieval-augmented generation
  • Implement secure APIs, pipelines, and microservices for AI-driven capabilities
  • Integrate AI capabilities with business applications and RPA workflows
  • Apply Responsible AI principles and ensure compliance with DoD AI Ethical Principles, the DoD Responsible AI Toolkit, and RMF security controls
  • Support data readiness through cleansing, cataloging, labeling, and governance of AI training datasets
  • Collaborate with cross-functional teams on RPA and AI integration
  • Participate in architecture decisions and technology selection
  • Document technical specifications, deployment guides, and best practices
  • Mentor junior developers and provide technical guidance
  • Stay current with emerging RPA, AI, and cloud computing technologies

Requirements:

  • Ability to obtain an Active Secret Security Clearance
  • Bachelorโ€™s degree in computer science, Data Science, or related field (Masterโ€™s preferred)
  • 5+ years in software development with demonstrated AI/GenAI project experience
  • 2+ years of hands-on experience with UiPath (Studio, Orchestrator, Robot)
  • 1+ years of experience with AWS services, specifically AWS Bedrock, Lambda, API Gateway, S3, and other core AWS services
  • Demonstrated ability to apply prompt engineering and fine-tuning techniques for LLMs
  • Strong programming skills in Python and C#/.NET
  • Experience with REST APIs, JSON, and web services integration
  • Knowledge of 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 skills
  • Excellent communication and documentation abilities
  • 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 opportunity
  • Competitive compensation
  • UiPath certification and AWS certification opportunities are listed as preferred qualifications