Evnek

• Design, develop, and implement SAP CPQ solutions aligned with business requirements
• Work on end-to-end CPQ implementations and provide production support
• Configure and customize SAP CPQ including product configuration, pricing and discounting models, approval workflows, guided selling processes
• Develop and maintain responsive CPQ templates and UI customizations
• Integrate SAP CPQ with Salesforce CRM, SAP & non-SAP ERP systems, external applications via APIs
• Lead and support migration from Quote 1.0 to Quote 2.0
• Implement complex pricing models: subscription-based, tiered, usage-based pricing
• Participate in multi-region/global CPQ rollouts and localization strategies
• Collaborate with stakeholders to understand Lead-to-Order business processes
• Ensure code quality, performance, and scalability of CPQ solutions
• Work with DevOps teams to enable CI/CD pipelines and deployment automation

SAP CPQ Technical Consultant

AI Engineer

• Design, develop, and maintain AI-powered applications using Python
• Integrate and work with LLMs (Large Language Models) such as Claude for AI-driven workflows
• Build scalable APIs and backend services using Python Flask
• Leverage tools like Cursor or similar AI-assisted coding platforms to enhance development productivity
• Collaborate with cross-functional teams to design and implement scalable AI solutions
• Optimize AI models and workflows for performance, reliability, and scalability
• Troubleshoot, debug, and enhance existing AI-based systems

AI Developer

ServiceNow

• Manage and maintain the ServiceNow CMDB, ensuring data accuracy, completeness, and integrity.
• Design and maintain CMDB data models and CI relationships.
• Implement and manage ITOM modules including Discovery, Service Mapping, and Event Management.
• Configure and maintain MID Servers for Discovery and integrations.
• Integrate ServiceNow with third-party tools and systems.
• Monitor CMDB health dashboards and perform regular data audits.
• Work closely with infrastructure, operations, and development teams to maintain CMDB standards.
• Support ITIL-aligned processes such as Incident, Change, and Problem Management.
• Provide troubleshooting and support for CMDB and ITOM-related issues.

ServiceNow CMDB, ITOM Consultant

• Define architecture and technical roadmap for scalable AI systems aligned with business goals.
• Provide technical leadership and mentorship to engineering teams, promoting best practices in software development and system design.
• Design and implement machine learning infrastructure, including data pipelines, model training, and deployment workflows.
• Ensure high engineering standards through testing frameworks, CI/CD pipelines, and robust code review processes.
• Lead project planning and execution, managing priorities, timelines, and deliverables in a remote environment.
• Collaborate with product, data science, and DevOps teams to align AI initiatives with business requirements.
• Evaluate and integrate new AI/ML tools, frameworks, and technologies to improve system performance and innovation.
• Monitor system health and model performance, ensuring scalability, accuracy, and reliability.
• Foster a culture of continuous learning, knowledge sharing, and career development within the team.

Technical Lead – AI Engineering

Consultant

• Collaborate with clients to understand integration requirements and design solutions using the Boomi integration platform.
• Develop and implement Boomi integrations between NetSuite and other systems.
• Provide technical support and troubleshooting during and after integration implementation.
• Deliver high-quality technical solutions for moderately complex customer engagements.
• Perform complex technical tasks requiring independent judgment to implement NetSuite and related solutions.
• Design and develop customizations and enhancements, as well as troubleshoot platform-related issues.
• Follow company methodologies, procedures, and best practices for documentation and implementation.
• Consult with client stakeholders and management teams to ensure solutions meet business requirements.
• Contribute to continuous improvement and high-performance engineering standards.

Boomi Technical Consultant

Software Engineer

• Debug and resolve issues in Hybris storefront and order management processes.
• Provide L3 support by implementing code fixes and supporting enhancements under guidance from senior engineers.
• Perform Root Cause Analysis (RCA) for recurring issues and recommend preventive measures.
• Participate in release validation, smoke testing, and deployment support activities.
• Collaborate with QA, frontend developers, and other technical teams to deliver integrated solutions.
• Update technical documentation and ensure compliance with ITIL-aligned processes.
• Follow coding standards and contribute to maintaining application stability and performance.
• Support on-call rotations and work in a 24×5/7 support environment when required.

SAP Hybris Developer

• Define architecture and technical roadmap for scalable AI systems aligned with business objectives.
• Provide technical leadership and mentorship to AI and Machine Learning engineers.
• Design and implement machine learning infrastructure, including data pipelines, model training, and deployment workflows.
• Ensure engineering best practices such as testing, CI/CD pipelines, and code review standards.
• Lead project planning and execution, managing priorities, timelines, and deliverables in a remote environment.
• Collaborate with product, data science, and DevOps teams to align AI solutions with product and business goals.
• Evaluate and integrate new AI/ML frameworks, tools, and technologies to improve system performance and innovation.
• Monitor system health and model performance, ensuring scalability, reliability, and accuracy.
• Foster a culture of continuous improvement, knowledge sharing, and technical growth within the team.

• Design, develop, and support customizations within Oracle E-Business Suite (EBS) .
• Develop and maintain Oracle Forms and Reports for enterprise applications.
• Implement and enhance Oracle Application Framework (OAF) components.
• Develop and customize Oracle Workflow processes to support business requirements.
• Design and implement integrations using REST and SOAP APIs .
• Ensure seamless integration between Oracle EBS and external enterprise applications .
• Develop and maintain complex SQL and PL/SQL programs including procedures, packages, and triggers.
• Perform database performance tuning using tools such as Toad and Oracle SQL Developer .
• Ensure compliance with Oracle EBS development standards and best practices .
• Provide technical support and resolve issues related to Oracle EBS customizations and integrations .

Oracle EBS Technical Developer

QA Engineer

• Validate the accuracy, reliability, and governance compliance of Power BI dashboards and semantic models.
• Validate KPIs and calculations against Snowflake source data.
• Reconcile aggregates, filters, and dimensional logic to ensure data accuracy.
• Test drill-through functionality, slicer interactions, and filter propagation.
• Identify discrepancies between report logic and documented business requirements.
• Document validation outcomes and report defects.
• Review semantic models for adherence to star schema and snowflake schema standards.
• Validate DAX calculations, ensuring correctness and edge-case coverage.
• Conduct regression testing for dashboard enhancements and model updates.
• Identify performance bottlenecks at the report and semantic model level.

BI QA Engineer

Security Engineer

• Lead SAP Security design, implementation, and support activities across SAP ECC, S/4 HANA, SAP Fiori, SAP BI/BOBJ, IBP, and GRC environments.
• Design, build, test, and maintain SAP security roles and authorizations.
• Perform user account management, troubleshooting, and security issue resolution across SAP systems.
• Implement SAP Security best practices aligned with SOX compliance and change management controls.
• Manage transport of SAP security roles and ensure proper testing prior to production deployment.
• Lead end-to-end SAP GRC implementations including Go-Live and Cutover activities.
• Configure and support SAP GRC Access Control (10.1 / 12.0) modules.
• Handle GRC User Access Reviews (UAR), Segregation of Duties (SoD) reviews, and audit support activities.

Senior SAP GRC, Security Consultant

• Architect, build, and scale large-scale OCR-driven document intelligence systems
• Design and implement end-to-end pipelines for processing long-form, OCR-intensive documents
• Own PDF ingestion, layout-aware parsing, and multi-page document assembly
• Build robust chunking, segmentation, and metadata tracking systems
• Deploy and operate open-source LLMs using vLLM Hugging Face TGI GPU-backed serving stacks
• Implement schema enforcement, rule engines, invariants, and rejection logic
• Improve system monitoring and alerting across document pipelines

Senior AI Engineer, Document Intelligence – LLM Infrastructure

Backend Engineer

• Design and develop scalable backend services to reliably process large PDFs (200+ pages).
• Implement AI-based document classification workflows using defined taxonomies and confidence scoring models.
• Design, version, and maintain document taxonomies that drive classification, grouping, and validation logic.
• Support multi-page document assembly based on taxonomy-driven rules and page-level metadata.
• Integrate LLM APIs (preferably GPT-4 Vision) for document analysis and intelligent classification.
• Build robust asynchronous job workflows using background workers, queues, retry logic, and task orchestration.
• Implement strong exception handling mechanisms, including fallback paths and “needs review” workflows.
• Ensure comprehensive audit trails, data lineage tracking, and classification rationale logging.
• Optimize backend performance, system architecture, and AI inference usage to control infrastructure costs.
• Support loan processing workflows by classifying and validating borrower documents (KYC, income proofs, bank statements, agreements) using taxonomy-driven rules and confidence thresholds.

Senior Backend Engineer, Python, FastAPI

Data Engineer

• Design, develop, and maintain ETL pipelines using PySpark, Apache Airflow, and Azure Data Factory (ADF)
• Build and optimize distributed data processing jobs using PySpark
• Orchestrate and schedule workflows using Apache Airflow
• Develop and manage data ingestion and transformation pipelines in Azure Data Factory
• Write clean, efficient, and reusable code using Python
• Develop and optimize complex SQL queries for MySQL and PostgreSQL databases
• Work with MongoDB for handling semi-structured and unstructured data
• Perform data analysis using Pandas and NumPy to support business insights
• Create basic to intermediate data visualizations using Matplotlib, Power BI, and Streamlit
• Monitor data pipelines, troubleshoot issues, and ensure data quality and performance
• Collaborate with cross-functional teams including analysts, data scientists, and product teams