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Job Description:
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:
Job Description:
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:
- InHouse 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.
- 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.
- 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.
- 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.
- 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.
- 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.