Role Focus

Primary owner of In-house utility development, AI/ML integration, and developer productivity. This role accelerates business value by building intelligent capabilities on top of stable platforms.

Key Responsibilities

1. In‑House Utility & Backend Development (Primary)

• Design, build, and maintain internal utilities, APIs, and backend services using:
  • C#/.NET / .NET Core
  • Python (API integration, data transformation, ML utilities)
  • Kafka
• Develop reusable components, automation accelerators, and shared frameworks.
• Build backend services supporting dashboards, command centers, monitoring, and reporting tools.
• Conduct design and code reviews; enforce clean coding and engineering standards.

2. GenAI, LLM & AI Platform Engineering (Primary)

• Design and implement GenAI-driven workflows and decision pipelines.
• Integrate LLM capabilities including prompt engineering, RAG, embeddings, grounding, and model orchestration.
• Build and deploy AI Center pipelines, custom ML models, and AI-assisted automations.
• Evaluate and onboard new AI tools, frameworks, and COTS AI products for enterprise use.
• Partner with data science, architecture, and security teams to ensure compliant AI deployments.

2. Data, Reporting & SQL Engineering (Primary)

• Design dashboards for automation performance, AI usage, operational insights, and ROI.
• Build and maintain reporting pipelines using SQL, Python, ETL, and UiPath Insights.
• Serve as SQL SME: schema reviews, query optimization, and data accuracy validation.
• Deliver automated reports for leadership, audit, and operational teams.

3. DevOps & Platform Alignment (Secondary)

• Contribute to CI/CD pipelines for AI models, utilities, and services.
• Ensure applications align with platform standards for deployment, monitoring, and security.
• Collaborate with the Automation & Cloud Reliability Engineer on release and rollout planning.

4. Collaboration, Enablement & Knowledge Sharing

• Work in Agile teams delivering prioritized automation and AI capabilities.
• Mentor engineers on GenAI, automation frameworks, and backend development.
• Lead technical workshops, demos, and documentation for reusable assets.

Required Qualifications

• Hands-on experience with GenAI / LLM integrations (RAG, embeddings, prompt engineering).
• Strong development skills in C#/.NET, Python, REST APIs, and backend services.
• Advanced SQL and analytics experience.
• Familiarity with CI/CD pipelines and secure SDLC practices.
• Working knowledge of UiPath ecosystem and automation platforms.