VDart Digital

Job Title: SAP MDG Techno Functional Consultant

Location: Hybrid – Bengaluru

Experience: 8+ Years

Role Type: Techno Functional

Primary Skills: SAP MDG, ABAP, Business Partner, S/4HANA, DRF, BRF+

Job Summary

We are looking for an experienced SAP MDG Techno Functional Consultant with strong expertise in SAP MDG configuration, ABAP development, master data governance, and Business Partner processes. The candidate should have hands-on experience in SAP ECC and S/4HANA environments, with strong exposure to MDG data models, workflows, validations, replication framework, and Business Partner master data.

Key Responsibilities

• Design, configure, implement, and support SAP MDG solutions across domains such as MDG-BP, MDG-C, MDG-S, MDG-M, and Finance master data.
• Work extensively on SAP Business Partner master data, including customer/vendor integration, BP roles, BP grouping, number ranges, and CVI-related configurations.
• Develop and maintain custom ABAP programs in SAP ECC and S/4HANA environments.
• Customize MDG data models, workflows, UI configurations, validations, derivations, and change request processes.
• Configure and support BRF+ rules, validation frameworks, and workflow enhancements.
• Work on MDG extensions and customizations, including custom entities, attributes, data models, and UI changes.
• Support integrations between MDG and downstream systems using Data Replication Framework, DRFOUT, IDocs, ALE, and Key Mapping concepts.
• Work with Smart Forms, Adobe Forms, Web Dynpro, Reports, Module Pool Programming, BDCs, LSMW, IDOCs, BADIs, User Exits, and Enhancements.
• Collaborate with functional consultants, business users, and technical teams to gather requirements and deliver effective solutions.
• Utilize CDS Views, OData Services, and support integration with SAP Fiori Apps where applicable.
• Participate in code reviews, performance tuning, debugging, and issue resolution.
• Ensure adherence to SAP best practices, development standards, and governance processes.
• Work within Agile, DevOps, and CI/CD frameworks where applicable.
• Provide post-go-live support and troubleshoot SAP MDG and ABAP-related issues.

Required Skills and Qualifications

• Minimum 8+ years of overall SAP experience.
• Minimum 5+ years of ABAP development experience.
• Minimum 5+ years of hands-on SAP MDG technical/functional experience.
• Strong experience in SAP MDG Business Partner, including customer, vendor, and BP master data processes.
• Good understanding of Business Partner model in S/4HANA, including CVI, BP roles, relationships, grouping, and master data governance.
• Expertise in MDG configuration, custom data models, workflow, validations, derivations, and data replication.
• Strong knowledge of BRF+, DRF, DRFOUT, Key Mapping, Value Mapping, IDocs, ALE, and replication models.
• Strong ABAP experience, including OOABAP, BADIs, User Exits, Enhancements, Reports, Interfaces, Forms, and Data Dictionary.
• Good understanding of S/4HANA data models and SAP NetWeaver architecture.
• Ability to debug, troubleshoot, and resolve both ABAP and MDG-related issues.
• Strong understanding of master data processes for Business Partner, Customer, Vendor, Material, and Finance objects.
• Excellent verbal and written communication skills.
• Ability to work independently and collaborate with cross-functional teams.

Good to Have

• Exposure to ABAP on Cloud and RAP programming.
• Experience with SAP Fiori/UI5 and OData services.
• Experience in Agile/Scrum delivery methodology.
• Knowledge of data migration, data quality, and master data cleansing activities.
• Experience in full-cycle SAP MDG implementation projects.

Role: Senior Engineer (Cloud Cost Optimization Engineer – Azure FinOps)

Employment Type: Permanent with VDart Digital

Work Location: Remote

Project Description -

Identify and implement cost optimization opportunities across Azure, Databricks, Snowflake, Power BI, and enterprise data platforms.

Drive resource rightsizing, utilization improvements, and governance initiatives.

Build automation, monitoring, and proactive cost controls.

Implement FinOps best practices, cost allocation models, and optimization guardrails.

Partner with engineering and business teams to deliver sustainable cloud savings.

Develop dashboards, reporting, and executive insights on cloud spend and optimization opportunities.

Agentic AI Automation for all the above use cases

Key Skills

• Cloud Cost Optimization & FinOps

• Azure Cost Management

• Databricks Optimization (Photon, Spot Instances, Auto-Termination)

• Snowflake Warehouse & Storage Optimization

• Power BI Capacity Optimization

• Python / PowerShell Automation

• Terraform / Infrastructure as Code

• Azure DevOps & CI/CD

• Resource Rightsizing & Capacity Planning

• Cost Governance, Azure Policy & RBAC

• Cost Analytics, Reporting & Forecasting

Preferred Experience

• 5+ years of experience in Cloud Engineering, Platform Engineering, FinOps, DevOps, or Infrastructure Optimization.

• Hands-on experience with Azure and enterprise-scale cloud environments.

• Proven track record of delivering measurable cloud cost savings and optimization outcomes.

Senior Generative AI Engineer

Employment Type: Permanent with VDart Digital

Work Location: Marathalli, Bengaluru

Job Description

We are seeking a highly skilled Senior Generative AI Engineer with strong expertise in designing, developing, and deploying enterprise-scale AI solutions using Large Language Models (LLMs) and modern Generative AI frameworks. The ideal candidate should have hands-on production experience building scalable GenAI applications, AI agents, autonomous workflows, and Retrieval-Augmented Generation (RAG) systems in cloud-native environments.

This role requires deep technical expertise in LLM orchestration, AI application architecture, prompt engineering, vector databases, MLOps, and production deployment of AI systems. Candidates should have proven experience delivering real-world AI solutions in enterprise environments with strong exposure to cloud platforms and DevOps practices.

Key Responsibilities

• Design, build, and deploy enterprise-grade Generative AI applications using Large Language Models (LLMs).
• Develop intelligent AI agents and autonomous workflows using frameworks such as LangChain, CrewAI, LangGraph, AutoGen, or similar agentic AI frameworks.
• Implement and optimize Retrieval-Augmented Generation (RAG) pipelines using vector databases and semantic search technologies.
• Work extensively on prompt engineering, tool calling, memory management, agent orchestration, and multi-agent systems.
• Integrate and manage LLMs such as OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, or similar foundation models.
• Develop scalable AI services and APIs using Python and FastAPI.
• Build production-ready AI solutions with high availability, scalability, monitoring, and observability.
• Deploy and manage AI applications in cloud-native environments using Docker and Kubernetes.
• Collaborate with Data Science, ML Engineering, and DevOps teams to operationalize AI solutions.
• Implement CI/CD pipelines and automated deployment processes for AI workloads.
• Monitor model performance, latency, reliability, and operational efficiency in production environments.
• Ensure AI solutions follow enterprise security, governance, and responsible AI standards.
• Evaluate and adopt emerging Generative AI tools, frameworks, and models.

Required Skills

Generative AI & LLM Expertise

• Strong hands-on experience with Generative AI and Large Language Models (LLMs).
• Production-level experience building and deploying GenAI applications.
• Expertise in LangChain, CrewAI, LangGraph, AutoGen, or similar frameworks.
• Experience with AI agents, autonomous workflows, and multi-agent architectures.
• Strong understanding of prompt engineering, embeddings, model evaluation, and LLM orchestration.
• Experience integrating OpenAI, Azure OpenAI, Claude, Gemini, Llama, Mistral, or similar models.

RAG & Vector Databases

• Strong experience implementing RAG pipelines and semantic retrieval systems.
• Experience with vector databases such as Pinecone, Weaviate, ChromaDB, FAISS, or Milvus.
• Understanding of chunking strategies, embeddings, indexing, reranking, and retrieval optimization.

Python & AI Development

• Strong proficiency in Python.
• Experience with FastAPI for AI service and API development.
• Experience with AI/ML libraries and data processing tools such as Pandas and NumPy.

Cloud & Production Deployment

• Mandatory production experience on at least one cloud platform:
• Microsoft Azure
• Experience deploying scalable AI applications in enterprise production environments.
• Hands-on experience with Docker, Kubernetes, Jenkins, Terraform, and CI/CD pipelines.
• Strong understanding of MLOps, AI deployment lifecycle, monitoring, and observability.

Engineering & Operational Excellence

• Strong understanding of software engineering best practices.
• Experience with Git, version control, automated testing, and release management.
• Experience building secure, scalable, and high-performance AI solutions.
• Ability to troubleshoot production AI systems and optimize performance.

Preferred Skills

• Experience with AI observability and evaluation frameworks.
• Exposure to fine-tuning, PEFT, LoRA, or model optimization techniques.
• Experience with enterprise AI governance and responsible AI practices.
• Knowledge of distributed AI systems and scalable inference architectures.
• Familiarity with AI security and compliance standards.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• 5–8 years of overall software engineering experience.
• Minimum 5+ years of hands-on experience in Generative AI and LLM-based application development,
• Proven track record of delivering enterprise-scale AI solutions in production environments.
• Strong communication and stakeholder management skills.

Senior Gen AI Full Stack Engineer:

• Strong background in AI/ML and Gen AI with a deep understanding of LLMs, NLP pipelines, and AI model lifecycle.

• Experience in designing and building guardrail systems for Gen AI applications – including prompt filtering, semantic validation, toxicity detection, and hallucination mitigation.

• Fast API experience for API development.

• Proficiency in Python with frameworks like LangChain, Transformers, OpenAI, and LLM orchestration tools.

• Strong DevOps skills including CI/CD, Docker, Kubernetes, and Git.

Experience integrating Gen AI models into enterprise platforms securely and ethically.

Role: Full Stack GEN AI Engineer

Location: Remote - Bengaluru

Duration: Fulltime With VDart Digital

The role demands a developer who is not just familiar with Large Language Models (LLMs), but is an expert in building autonomous agentic workflows using the modern GenAI stack (LangChain, CrewAI, Vector DBs). Expertise in system design, cloud-native technologies, and CI/CD for AI-driven applications is essential for this high-impact delivery role.

Responsibilities

· Design, develop, and maintain full-stack applications that are scalable, robust, and meet the company's quality standards, with a specific focus on Generative AI integration.

· Agentic Orchestration: Build and deploy sophisticated multi-agent systems and autonomous workflows using frameworks like LangChain, CrewAI, or LangGraph.

· Collaborate effectively with cross-functional teams to define, design, and ship new features that bridge the gap between raw AI power and intuitive user workflows.

· Exhibit strong problem-solving skills with an emphasis on product development and driving architecture choices that enable a world-class user experience.

· Utilize a variety of modern web technologies and frameworks (React.js, Angular, or Vue.js) to build responsive and accessible user interfaces.

· Develop and maintain RESTful APIs and services with optimal performance and scalability, handling streaming AI responses and complex function-calling logic.

· Ensure code quality, organization, and automatization through best practices, including unit tests for prompts, model evaluation pipelines, and automated CI/CD for AI-driven features.

· Implement and optimize RAG (Retrieval-Augmented Generation) pipelines using Vector Databases and advanced retrieval techniques.

· Adapt to emerging technologies and frameworks, specifically new GenAI tools and frontier models, and apply them to operational and business needs.

· Manage individual project priorities, deadlines, and deliverables with minimal supervision.

Skill Requirements

· Excellent oral and written communication skills, with the ability to articulate complex AI and technical ideas to both technical and non-technical audiences.

· Profound knowledge of application development, data structures, networking, operating systems, and DBMS.

· Strong proficiency in backend programming languages for API development such as Python, Java, JavaScript (Node.js), or Go.

· Expertise in front-end technologies and frameworks such as React.js, Angular, or Vue.js.

· GenAI & Agentic Tools: Deep hands-on experience with LangChain, CrewAI, or AutoGen. Ability to manage agent memory, state, and tool-calling.

· In-depth understanding of SQL/NoSQL databases, data modeling, and experience with Vector Databases for RAG implementations.

· Solid grasp of system design, microservices architecture, and cloud-native technologies including Docker, Kubernetes, and GitHub Actions.

· Experience with distributed computing, machine learning frameworks, and tools, with a primary focus on Generative AI.

· Desirable (Good to Have): Experience with Generative or Adaptive UI development, where the interface dynamically adapts or renders components based on LLM outputs and real-time AI reasoning.

· A strong desire to learn and master new technologies and techniques in the rapidly evolving GenAI landscape.

Qualifications

· Bachelor’s degree in Computer Science, Engineering, or a related field.

· A minimum of 3-5 years of experience in full-stack development, with a proven track record of building and deploying Generative AI applications and agents.

· Portfolio of successfully deployed web applications and services, specifically showcasing AI agents, RAG implementations, or complex AI-driven features.

We're Hiring: Gen AI Engineer (Remote)

Join VDart Digital to build cutting-edge AI solutions using Generative AI, LLMs, RAG, Agentic AI, Python, FastAPI, React.js, LangChain, and Azure AI. Apply now and be part of the future of enterprise AI

Key Responsibilities

Design and develop GenAI applications using LLMs, RAG, and Agentic AI frameworks.

Build AI agents and workflows using LangChain and LangGraph.

Develop backend APIs and AI services using Python and FastAPI.

Build AI-powered frontend experiences using React.js.

Implement RAG pipelines using vector databases and enterprise data sources.

Integrate solutions with Azure OpenAI, Azure AI Search, and Azure AI services.

Deploy and manage AI applications using Azure cloud and DevOps practices.

Required Skills

Strong experience in Generative AI, LLMs, RAG, Agentic AI.

Hands-on experience with LangChain, LangGraph, Prompt Engineering.

Strong programming skills in Python, FastAPI.

Experience with React.js development.

Experience with Azure OpenAI, Azure AI Search, Azure AI Studio / Azure ML.

Experience with Vector Databases: FAISS, Pinecone, ChromaDB, Weaviate.

Knowledge of Docker, CI/CD, APIs, and cloud-native application development.

Key Responsibilities

·      Functional Configuration: Lead configuration and setup of Fusion Procurement modules to meet business requirements.

·      Sourcing & Procurement:

1.      Manage RFPs (Request for Proposals), Tenders, and Knockout Analysis within Oracle Fusion Sourcing.

2.      Guide stakeholders in supplier selection and scoring using sourcing tools.

3.      Configure and optimize sourcing workflows, events, and evaluation criteria.

·      Cross-Functional Collaboration: Work closely with developers, QA, and DevOps teams to align solution design and technical requirements.

·      End-to-End Testing: Drive user acceptance testing (UAT) and ensure timely sign-off.

·      Quarterly Release Management: Assess Oracle Cloud quarterly updates and plan functional enhancements proactively.

·      Documentation & Training: Prepare functional specifications, maintain knowledge base, deliver training, and facilitate knowledge transfer across the pod.

·      Performance Monitoring: Analyze source-to-pay (S2P) processes, recommend improvements, optimizations, and report on KPIs.

Required Qualifications

·      Bachelor’s Degree in Engineering, Information Systems, or equivalent.

·      5+ years of experience as an Oracle Fusion Procurement Functional Consultant.

·      Strong expertise in configuring Procurement Cloud modules (Purchasing, Self-Service Procurement, Supplier Portal, Supplier Qualification, Sourcing, Contracts).

·      Hands-on experience with Sourcing processes, including RFPs, Tenders, and Knockout Analysis.

·      Consulting or DevOps experience, including enhancement cycles and rapid deployments.

·      Construction industry experience is a plus.

·      Experience with reporting tools (OTBI/BIP) and BPM workflow testing.

·      Excellent verbal and written communication skills. Strong collaboration and stakeholder management capabilities.

·      Comfortable working in a fast-paced, SLA-driven, sprint-based pod delivery model.

We are seeking an experienced Enterprise Architect who will drive architecture governance, standardization, and alignment across digital and technology initiatives. The role focuses on establishing and enforcing enterprise architecture frameworks, leading architecture reviews, managing demand, and enabling end-to-end (E2E) architecture consistency across multiple business entities.

Key Responsibilities

• Define, maintain, and evolve the Enterprise Architecture (EA) framework aligned with business and technology strategy.
• Lead architecture governance, including conducting Architecture Review Boards (ARB) and ensuring adherence to defined standards.
• Perform architecture assessments and solution reviews to ensure compliance, scalability, and integration alignment.
• Manage architecture demand intake and prioritization aligned with enterprise principles.
• Establish and manage a structured EA approval process via Jira, ensuring tracking, auditability, and SLA adherence.
• Coordinate with offshore teams to streamline review cycles and ensure timely approvals.
• Drive end-to-end (E2E) architecture alignment across business, application, data, integration, and technology domains.
• Coordinate architecture activities across multiple entities to avoid siloed implementations.
• Lead application rationalization initiatives to optimize the application landscape.
• Ensure architecture compliance across all technology initiatives.
• Facilitate collaboration between business, digital, and technology teams.
• Maintain and enhance enterprise knowledge repositories (Confluence / JIRA/ EA tools).
• Define and track architecture KPIs such as approval turnaround time and compliance adherence.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• 7+ years of experience in Enterprise Architecture or Solution Architecture roles.
• Strong experience in architecture governance, reviews, and compliance enforcement.
• Hands-on exposure to end-to-end enterprise systems (ERP, CRM, integration platforms).
• Strong stakeholder management, analytical, and communication skills.

Preferred Skills

• TOGAF, Zachman, or equivalent certification.
• Experience in multi-entity enterprise environments.
• Strong understanding of integration architecture (APIs, middleware).
• Experience with application portfolio management.
• Familiarity with EA tools, Jira, and Confluence.
• Exposure to cloud architectures and modern platforms.

Hi,

Please let me know your interest for below role.

SAP Application Development, Full Stack Development, UI5, Fiori & Node.js expert

Fulltime

Bangalore-Hybrid

Skills & Requirements:

• Extensive technical delivery experience in SAP projects
• Experience in developing and implementing SAP technical standards & processes
• Good knowledge in the following technology areas:
• SAP Business Technology Platform Architecture
• SAP ECC6 & S/4 HANA
• SAP Integration
• SAP on Hyperscale’s
• SAP on Azure.
• FIORI
• SAP Cloud application programming.
• Java node.js
• HTML5
• UI5
• SAP BTP skills added advantage.
• GitHub knowledge is plus. 

Hi,

please let me know your interest for the below role

Ansible Automation Developer

Fulltime

Bangalore—Hybrid

Note: No need of devops candidate. client looking for programming or coder candidate like software developer or ansible automation candidate.

The minimum skill expectation for these demands is the below combination:

Ansible (programming + Linux) + Python (programming) + API Programming for CMDB (RESTCONF, NETCONF or other) + Github & CI/CD (assuming it’s common nowadays) + background of coding/managing codebases for Configuring Networking Devices/Services in enterprise/production landscapes (Cisco or any other) + 1. Other skills mentioned in the JD (in the section: SKILL MATRIX) are not mandatory but preferred.

• Design, develop, and implement automation solutions to integrate disparate systems,

ensuring smooth and efficient end-to-end workflows.

• Collaborate closely with stakeholders to understand requirements and provide scalable

integration solutions using Ansible, ServiceNow, GitHub, etc.

• Create and maintain API-based integrations.
• Write Python scripts / logic within Ansible playbooks.
• Test and document all integration processes, design decisions, and developed solutions.
• Troubleshoot and resolve system integration and workflow issues, ensuring high levels

of performance and security.

• Continuously monitor and analyse the efficiency of integrated solutions, proposing and

implementing improvements when necessary.

• Participate in regular review sessions with IT peers to discuss best practices, new

technologies, and potential optimizations.

• Offer training and support to other IT team members on integrated systems and

platforms.

• Develop Ansible playbooks for network orchestration.
• Standardize and document network configurations using YANG modelling for Cisco

routers and switches in a design implementation guideline, ensuring alignment with

industry best practices and uniformity across the organization.

• Experience in working in agile environment .
• Background in IT service delivery (ITIL certification preferred).
• Proven technical acumen; ability to bridge tech specifications and business concepts.
• Proficient in WAN, LAN, Wireless LAN, IP - mgt, DNS, DHCP.
• Preferred network related certifications: Cisco DevNet Professional, Cisco CCNP.