VDart Digital

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.
• 3–8 years of overall software engineering experience.
• Minimum 3+ 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.

• Job Title: Lead Data Engineer
• Location: Marathahalli, Bangalore 
• Job Mode: Hybrid

Key Responsibilities:

·   Create and maintain data sources inside our data lake on Azure

·   Assemble and analyze large, complex data sets that meet both functional and non-functional business requirements

·   Identify, design, and implement internal process improvements: automating manual processes; optimizing data delivery; re-designing infrastructure for greater scalability.

·   Work with stakeholders including the Executive, Tech, Product, Data and Design teams to optimize data driven decisions

·   Keep our data separated and secure by understanding and applying best practice access policies

·   Create tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader

·   Ensure data integrity with thorough data quality test coverage and data validation

·   Improve, create and implement CI/CD processes and tooling inside the data lake

Required Qualifications

-     Join immediately

-     Databricks

-     Databricks hands on experience (esp. Pipelines PySpark & SQL, Delta Lake, Unity Catalog, DLT*)

-     Ingesting & transforming data using Databricks - Min 3 years continuous hands-on

-     Advanced SQL and Python knowledge

-     Data Lake housing and Modelling experience (e.g. medallion architecture & query performance optimization)

-     Experience with backend systems ERP, CRM (e.g. SAP, Oracle, Salesforce)

-     Exposure of working with Azure (ADLS, ADF)

-     Good Communication skills

We are seeking an exceptionally talented and highly experienced SAP S/4HANA aATP (Advanced Available-to-Promise) Functional Consultant to deliver aATP design, configuration, testing, cutover and deployment activities for the Aurora SAP S/4HANA implementation project for South Korea, Australia, and New Zealand.

This is a hands-on implementation delivery role requiring deep SAP aATP functional expertise, dedicated aATP experience and multiple full lifecycle SAP S/4HANA implementation experiences. The consultant will partner with business stakeholders, solution architects, integration teams and regional process owners across South Korea, Australia and New Zealand.

Critical Requirement: This is not a support or AMS role. Candidates whose experience is primarily production support, incident management or ticket-based support will not be considered.

Key Responsibilities

SAP S/4HANA aATP Solution Design & Delivery

·        Lead end-to-end design and delivery of SAP S/4HANA aATP solutions across implementation and rollout phases.

·        Facilitate fit-gap analysis, requirements workshops, process design discussions and blueprinting solutions.

·        Translate business needs into scalable SAP aATP solutions aligned with global template standards and regional requirements.

·        Own functional design decisions and provide subject matter expertise.

Advanced Available-to-Promise Functional Scope

·        Product Availability Check (PAC)

·        Backorder Processing (BOP)

·        Supply Protection (SUP)

·        Alternative-Based Confirmation (ABC)

·        Product Allocation (PAL)

·        Release for Delivery (RfD)

·        Availability Check Control, confirmation strategies, checking groups and checking rules

·        Business prioritization rules and fulfillment confirmation logic

Cross-Functional Integration

·        Partner with SAP SD / Order-to-Cash, MM, EWM, PP, TM, FI/CO, Master Data and Integration teams.

·        Ensure aATP integration with sales orders, deliveries, warehouse processes, production supply, inventory planning and external fulfillment or planning systems.

·        Collaborate with technical teams for WRICEF objects, enhancements, interfaces and CPI/integration requirements.

Testing, Cutover & Deployment

·        Prepare and review Functional Design Documents, configuration documents, test scripts and solution specifications.

·        Lead SIT, UAT, defect triage and solution validation for aATP processes.

·        Support cutover planning, go-live preparation, deployment readiness and hypercare stabilization for implementation scope.

·        Drive issue resolution while maintaining template integrity and regional deployment commitments.

Stakeholder Engagement

·        Act as the functional SME for SAP S/4HANA aATP within the Aurora program.

·        Engage business users, process owners, deployment leads, system integrators and technical workstreams.

·        Lead workshops, present solution options, document decisions and drive alignment across countries and workstreams.

Required Skills & Experience

Mandatory

·        8+ years of dedicated SAP aATP experience with deep hands-on configuration and implementation delivery exposure.

·        Multiple SAP S/4HANA implementation experiences with a minimum of three full lifecycle implementations preferred.

·        Strong hands-on experience implementing PAC, BOP, PAL, ABC, Supply Protection and Release for Delivery.

·        Deep understanding of Order-to-Cash processes and aATP integration with sales, inventory, delivery and fulfillment processes.

·        Strong knowledge of material availability, supply allocation, inventory management and fulfillment confirmation concepts.

·        Experience working in large-scale, global, multi-country SAP transformation programs. Preferably FMCG.

·        Strong functional documentation, configuration, testing, deployment and cutover experience.

·        Ability to lead business workshops and work directly with senior stakeholders and regional deployment teams.

·        Knowledge of SAP Fiori applications related to aATP.

Preferred / Nice to Have

·        SAP EWM and/or SAP TM integration experience.

·        Experience with interfaces.

·        Prior experience in FMCG, Consumer Products, or Manufacturing industries.

·        Experience supporting APAC rollouts and multi-country deployment programs.

Soft Skills & Competencies

·        Excellent communication, facilitation and stakeholder-management skills.

·        Ability to work independently in fast-paced transformation and rollout environments.

·        Strong analytical, problem-solving and decision-making skills.

·        Proven ability to collaborate across functional, technical, business and system-integrator teams.

·        Comfortable managing competing priorities across multiple countries, project teams and deliverable timelines.

Implementation Focus

The selected consultant will be responsible for SAP S/4HANA aATP implementation deliverables supporting Aurora deployments across South Korea, Australia and New Zealand. The primary focus will be solution design, hands-on configuration, functional documentation, testing, deployment readiness, go-live execution and stabilization for implementation scope.

Role: Oracle Fusion Functional Consultant

Location: Bengaluru (Marathahalli)

Experience: 7+ years

Job Type: Full-Time

Responsibilities

·      Lead functional configuration of Oracle Fusion Procurement modules

·      Drive sourcing activities including RFPs, tenders, and knockout analysis

·      Partner with business and technical teams to deliver end-to-end S2P solutions

·      Lead UAT, quarterly release impact analysis, and functional enhancements

·      Provide documentation, training, and knowledge transfer

·      Monitor procurement KPIs and recommend process optimizations

Skills & Qualifications

·      7+ years Oracle Fusion Procurement experience

·      Strong hands-on expertise in Purchasing, SSP, Supplier Portal, Qualification, Sourcing, and Contracts

·      Experience with OTBI/BIP reporting and BPM workflows

·      Consulting or DevOps delivery experience preferred

·      Strong stakeholder management and communication skills

We are looking to onboard an SD consultant for Aurora cluster 2 work. This role would report into Ena to build SD based reporting capabilities.

Key Responsibilities:

• Analyze current requirements for accruals in APAC processes supported by existing TPM systems.
• Conduct fit-gap analysis between existing tools and standard S/4HANA CCM capabilities.
• Analyze Sales and Distribution reporting requirements for TPM reporting
• Design optimized business processes utilizing S/4HANA SD functionalities.
• Perform configuration and provide guidance on SAP SD and CCM modules.
• Provide technical direction for any required reporting enhancements or integrations.
• Support functional testing, training, and process documentation.
• Align with global SAP teams to ensure solution compliance and readiness.

Qualifications:

• Minimum10 years of SAP SD experience with at least 2 years in SAP S/4HANA, including hands-on work in implementing TPM systems.
• Strong functional expertise in pricing/rebate/incentive/condition contract processes.
• Effective communicator with ability to work across business and IT teams.
• Prior experience in the Consumer Packaged Goods (CPG) sector is preferred.
• Experience in regional or global SAP transformations or rollouts is a plus.
• Experience working with Promax tool is a plus.

We are hiring an experienced Azure DevOps Architect to design and drive enterprise-scale cloud engineering, DevOps transformation, and automation initiatives.

Responsibilities:

• Design and implement scalable Azure cloud architectures and DevOps solutions.
• Build and optimize CI/CD pipelines using Azure DevOps / GitHub Actions.
• Drive DevSecOps, Infrastructure-as-Code (Terraform), and cloud automation practices.
• Work with Kubernetes (AKS), Docker, and cloud-native platforms.
• Define engineering standards around security, governance, monitoring, and platform engineering.
• Explore AI-enabled engineering capabilities using Azure AI Foundry, Azure OpenAI, and MCP.

Qualifications:

• 10+ years of experience in Azure Cloud, DevOps, or Cloud Architecture.
• Strong hands-on expertise in Azure, Azure DevOps, Terraform, CI/CD, Kubernetes, and DevSecOps.
• Experience designing enterprise-grade cloud platforms and automation solutions.
• Exposure to AI/GenAI integration in engineering workflows is a plus.

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 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.