Digital Twin Development:

• Design, build, and maintain Digital Twin like solutions that virtually represent physical assets, processes, and operations.
• Integrate real-time and batch data sources into the Digital Twin layer.
• Implement simulation, monitoring, and what-if analysis capabilities to support operational decisions.

AI Agent Development:

• Develop AI Agents using modern LLM frameworks for use cases such as analytics assistants, automation and decision support.
• Engineer prompts, tools, memory and orchestration logic to deliver reliable agent behavior.
• Integrate agents with internal data sources, APIs, and enterprise applications.

Platform Development for Agents:

• Contribute to building the internal platform that hosts, deploys and monitors AI Agents.
• Develop reusable components for agent orchestration, evaluation, observability and governance.
• Apply best practices in security, scalability and lifecycle management of Agentic AI services.

Data Applications:

• Design and develop end-to-end data applications(tool/interfaces) using Python, React/JavaScript and etc.
• Build APIs, dashboards, and interactive interfaces that expose advanced analytics to business users.
• Collaborate with data engineering, analytics, governance and business teams to ensure data quality, lineage, and performance.

Advanced Analytics and Power BI:

• Develop advanced analytical models and translate them into actionable insights for business stakeholders.
• Create custom Power BI visuals using TypeScript and the Power BI custom visuals SDK for non-standard functional needs.
• Define standards and templates that improve consistency and reusability across BI deliverables.

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, Information Systems or a related technical field.
• 3+ years of professional experience in BI engineering, advanced data analytics or data software engineering.
• Strong programming skills in Python (data processing, APIs, automation, AI/ML libraries).
• Solid frontend development skills with React and JavaScript/TypeScript.
• Hands-on experience with Power BI, including DAX, Power Query (M), data modeling, and custom visuals development.
• Experience working with relational and analytical databases and writing performant SQL.
• Familiarity with REST APIs, version control (Git) and modern software development practices.
• Understanding of data architecture concepts: data warehousing, data lakes, ETL/ELT pipelines.

Preferred Qualifications:

• Experience building or integrating 2D/3D vizualizations and Digital Twin like solutions
• Understanding of LangChain, LangGraph, LlamaIndex, Semantic Kernel, Autogen, or similar
• Experience with vector databases and Retrieval-Augmented Generation (RAG) architectures.
• Familiarity with cloud platforms such as Azure, AWS, or GCP, including their AI/ML and data services.
• Knowledge of containerization (Docker), orchestration (Kubernetes) and CI/CD pipelines.
• Experience developing custom Power BI visuals using TypeScript and the Power BI custom visuals SDK.
• Exposure to monitoring, and evaluation of AI systems in production.