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Work with a fast-growing global technology company. Grow fast, learn constantly, and help shape the digital future for businesses around the world.
A Place Where You Can
Truly Grow
We invest in our people. Every team member gets the tools, mentorship, and opportunities they need to reach their full potential.
Fast Career Growth
Clear promotion paths with quarterly performance reviews. Many of our senior consultants started at junior levels and grew quickly through demonstrated results.
Continuous Learning
Sponsored certifications (AWS, Salesforce, ServiceNow, PMP and more), internal knowledge-sharing sessions, and access to industry conferences and workshops.
Global Exposure
Work on technology projects across India, the Middle East, Southeast Asia, and beyond — gaining international experience that accelerates your career trajectory.
Collaborative Culture
Flat hierarchy, open-door policy, and a genuinely inclusive environment. Your ideas are heard and acted upon — regardless of your seniority level.
Competitive Compensation
Market-leading salaries, performance bonuses, comprehensive health insurance, and a flexible benefits package designed for modern professionals.
Work-Life Balance
Hybrid and flexible work arrangements, generous leave policy including mental health days, and a culture that genuinely respects boundaries and personal time.
Explore Available Openings
We're growing across technology consulting, software development, AI, staffing, and business operations.
Showing 8 of 306 open roles.
Flutter Engineer
Responsibilities
- Strong experience with Flutter & Dart
- Solid knowledge of Flutter architecture, state management & performance optimization
- Experience with REST/GraphQL APIs
- Understanding of mobile fundamentals, local storage, Git & CI/CD
- Ability to own features end-to-end and contribute quickly
- Large-scale B2C / consumer / e-commerce app experience is a strong plus
- Native Android (Kotlin/Java) or iOS (Swift) exposure is a bonus
Senior Software Engineer – Platform (Backend / AI/ML / Integrations)
Requirements
- Go – Mandatory
- Python
- Kafka / NATS
- WebSockets
- LLMs / RAG
- GCP
Responsibilities
- Build scalable backend services using Go
- Develop AI/ML pipelines and integrations
- Work with event-driven architecture & WebSockets
- Optimize systems for low latency and high performance
Senior WebMethods Engineer
Requirements
- Strong expertise in Software AG webMethods
- Hands-on experience in B2B & MFT Integrations
- Experience with webMethods B2B, MFT & BPMS
- Strong knowledge of integration architecture and design patterns
- Experience creating technical documentation & architecture diagrams
- Ability to perform functional, performance & stability testing
- Experience with monitoring, deployment & failover capabilities
- Knowledge of SAP Integration Suite is highly valuable
Responsibilities
- Hands-on experience with web Methods upgrades
- Strong analytical and problem-solving skills
- Experience working with enterprise integration environments
- Excellent communication and collaboration skills
- Full English proficiency
SAP EHS Expert
Requirements
- Strong hands-on expertise in SAP EHS
- Functional knowledge of Product Safety & Chemical Industry regulations
- Experience in functional specifications and documentation
- Strong ABAP programming skills
- Good to Have:
- BW Reporting experience
- Software development & interfacing tools
- Project Management experience
- Experience: 7–10 Years
Responsibilities
- Support incidents, bugs, and existing SAP EHS applications
- Manage, enhance, and maintain EHS solutions
- Prepare functional specifications and technical documentation
- Test and validate customizations and development changes
- Collaborate with Product Managers and HSE experts
- Support Product Safety and SDS Authoring processes
- Handle Substance Volume Tracking and chemical registration processes
- Participate in software development and technology deployment projects
AI/ML Engineer – Context Layer & Agentic AI Developer
We are looking for a highly skilled and hands-on AI/ML Engineer to help build next-generation AI-powered platforms focused on Context Engineering, Agentic AI, Knowledge Graphs, and Retrieval-Augmented Generation (RAG). This role is ideal for someone passionate about building production-grade AI systems that go beyond traditional machine learning and leverage LLMs, multi-agent orchestration, and intelligent context layers to solve real-world business challenges. You will play a key role in developing AI solutions that power CRM, GTM, and customer intelligence platforms for enterprise use cases.
Requirements
- 3–5 years of experience in AI/ML engineering or related roles.
- Strong proficiency in Python.
- Hands-on experience with Large Language Models (LLMs) and Generative AI
- applications.
- Experience with Salesforce Ecosystem, including Data Cloud and Agentforce.
- Knowledge of CRM, GTM (Go-to-Market), Sales, or Service Operations domains.
- Experience with Snowflake, Neo4j, or similar data platforms.
- Hands-on experience with LangGraph, MCP (Model Context Protocol), and
- multi-agent architectures.
- Understanding of Knowledge Graphs, semantic search, and contextual intelligence
- systems.
- If you're excited about building intelligent systems that combine LLMs, agents,
- knowledge graphs, and contextual reasoning, we'd love to hear from you.
- Experience building and deploying RAG architectures.
- Working knowledge of Vector Databases and Graph Databases.
- Experience with Agent Frameworks and AI orchestration platforms.
- Strong understanding of Prompt Engineering techniques.
- Experience developing and integrating RESTful APIs.
- Familiarity with cloud platforms such as AWS, Azure, or GCP.
- Strong problem-solving and system design skills.
Responsibilities
- Design and develop scalable AI Context Layers that enhance reasoning and
- decision-making capabilities of AI systems.
- Build and optimize RAG (Retrieval-Augmented Generation) pipelines using vector
- databases, knowledge graphs, and enterprise data sources.
- Develop and deploy Agentic AI solutions and multi-agent workflows for complex
- business processes.
- Design and manage integrations with LLMs, APIs, and enterprise applications.
- Build and maintain Knowledge Graphs to improve contextual understanding and AI
- reasoning.
- Collaborate with product, engineering, and business teams to translate requirements into
- AI-powered solutions.
- Optimize AI models and workflows for performance, scalability, security, and reliability.
- Stay current with emerging trends in Generative AI, Agent Frameworks, and AI
- infrastructure.
AI/ML Engineer – Context Layer & Agentic AI Developer
We are looking for a highly skilled and hands-on AI/ML Engineer to help build next-generation AI-powered platforms focused on Context Engineering, Agentic AI, Knowledge Graphs, and Retrieval-Augmented Generation (RAG). This role is ideal for someone passionate about building production-grade AI systems that go beyond traditional machine learning and leverage LLMs, multi-agent orchestration, and intelligent context layers to solve real-world business challenges. You will play a key role in developing AI solutions that power CRM, GTM, and customer intelligence platforms for enterprise use cases.
Requirements
- 3–5 years of experience in AI/ML engineering or related roles.
- Strong proficiency in Python.
- Hands-on experience with Large Language Models (LLMs) and Generative AI
- applications.
- Experience with Salesforce Ecosystem, including Data Cloud and Agentforce.
- Knowledge of CRM, GTM (Go-to-Market), Sales, or Service Operations domains.
- Experience with Snowflake, Neo4j, or similar data platforms.
- Hands-on experience with LangGraph, MCP (Model Context Protocol), and
- multi-agent architectures.
- Understanding of Knowledge Graphs, semantic search, and contextual intelligence
- systems.
- If you're excited about building intelligent systems that combine LLMs, agents,
- knowledge graphs, and contextual reasoning, we'd love to hear from you.
- Experience building and deploying RAG architectures.
- Working knowledge of Vector Databases and Graph Databases.
- Experience with Agent Frameworks and AI orchestration platforms.
- Strong understanding of Prompt Engineering techniques.
- Experience developing and integrating RESTful APIs.
- Familiarity with cloud platforms such as AWS, Azure, or GCP.
- Strong problem-solving and system design skills.
Responsibilities
- Design and develop scalable AI Context Layers that enhance reasoning and
- decision-making capabilities of AI systems.
- Build and optimize RAG (Retrieval-Augmented Generation) pipelines using vector
- databases, knowledge graphs, and enterprise data sources.
- Develop and deploy Agentic AI solutions and multi-agent workflows for complex
- business processes.
- Design and manage integrations with LLMs, APIs, and enterprise applications.
- Build and maintain Knowledge Graphs to improve contextual understanding and AI
- reasoning.
- Collaborate with product, engineering, and business teams to translate requirements into
- AI-powered solutions.
- Optimize AI models and workflows for performance, scalability, security, and reliability.
- Stay current with emerging trends in Generative AI, Agent Frameworks, and AI
- infrastructure.
Azure Integration Service Engineer
Requirements
- Azure Logic Apps
- Azure API Management (APIM)
- Azure Service Bus
- Azure Functions
- Azure Data Factory (ADF)
- Azure Storage – Blob, Table & Queue
- ARM Templates & Bicep
- REST APIs
- XML / JSON / XSLT
- Data Mapping & Infrastructure as Code (IaC)
- Preferred Skills:
- C#, .NET, or Java development experience
- Azure DevOps CI/CD
- API security & authentication
- Azure Monitor & Application Insights
- Enterprise integration patterns
- Strong troubleshooting and problem-solving skills
- Education: Bachelor's Degree in Computer Science, IT, Engineering, or equivalent.
Responsibilities
- Design and develop enterprise integration solutions using Azure Integration Services
- Build and manage APIs using Azure APIM
- Develop serverless solutions using Azure Functions
- Implement messaging solutions with Azure Service Bus
- Create and maintain ADF pipelines
- Deploy Azure infrastructure using ARM Templates and Bicep
- Develop REST API integrations with internal and external applications
- Troubleshoot integration issues and ensure high availability
- Collaborate with cross-functional teams across development, testing, and deployment
SAP Ariba VIMS Consultant
Requirements
- Strong hands-on experience with SAP Ariba VIMS
- Expertise in supplier lifecycle and vendor governance
- Experience integrating SAP Ariba with SAP ERP/S/4HANA
- Knowledge of APIs, SAP Cloud Integration Gateway (CIG), or middleware
- Workflow configuration experience
- Strong analytical, communication, and stakeholder management skills
- Preferred Skills:
- SAP Ariba Buying & Invoicing experience
- Knowledge of SAP Master Data Governance (MDG)
- SAP Ariba Certification
Responsibilities
- Configure and support SAP Ariba Vendor Information Management Solution (VIMS)
- Design and implement supplier onboarding and vendor lifecycle processes
- Manage vendor registration, qualification, and approval workflows
- Integrate SAP Ariba with SAP S/4HANA or SAP ECC
- Configure workflows, questionnaires, and document management
- Support vendor master data synchronization and migration
- Gather business requirements and perform fit-gap analysis
- Prepare functional specifications and support SIT/UAT testing
- Collaborate with business stakeholders and technical teams
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