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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 299 open roles.
AI Lead
We’re hiring an AI Lead to build and scale agentic AI systems—autonomous solutions for that reason, plan, and execute tasks. You’ll drive AI architecture across LLMs, ML, and production infrastructure.
Requirements
- 8-10 years in software engineering; 4+ years in AI/ML
- Strong experience with LLMs, prompt engineering, fine-tuning
- Proven expertise in agentic/autonomous AI systems
- Proficiency in Python and frameworks (Lang Chain, AutoGen, Crew AI)
- Experience with vector DBs and RAG architectures
- Strong knowledge of APIs, distributed systems, and cloud (AWS/GCP/Azure)
- Core ML Skills
- Supervised & unsupervised learning
- PyTorch, TensorFlow, scikit-learn, XGBoost
- NLP, transformers, embeddings
- Model evaluation (F1, AUC) & feature engineering
- Scalable processing (Spark/Dask)
- Tech Stack
- Languages: Python, TypeScript
- AI/ML: PyTorch, TensorFlow, Hugging Face LLMs: OpenAI, Anthropic, Gemini, Llama, Mistral Data: Pinecone, Weaviate, pgvector, Elasticsearch MLOps: MLflow, Kubeflow, Airflow Infra: Docker, Kubernetes, AWS/GCP, Terraform
- *Preferred
- Observability tools (Lang Smith, W&B)
- Knowledge graphs, RL (RLHF, PPO), multimodal AI
- Open-source or research experience
Responsibilities
- · Build and orchestrate multi-agent AI systems
- · Design LLM pipelines (Lang Chain, Lang Graph, Crew AI)
- Develop and optimize RAG pipelines
- Implement tool integrations (APIs, DBs, services)
- Define agent memory and context handling
- Build & deploy ML models (classification, ranking, anomaly detection)
- Establish MLOps pipelines (tracking, monitoring, versioning)
- Fine-tune and optimize models (LoRA, quantization)
- Mentor engineers and lead design decisions
MS Fabric Engineer
We are looking for a Senior iOS Engineer to design, build, and ship features for our customer-facing iOS applications. You'll work on products used by millions of customers to track shipments, manage deliveries, and interact with the services on the go. This is a hands-on engineering role for someone with deep Swift expertise who can own features end to end, raise the quality bar, and mentor others on the team.
Requirements
- *Required Qualifications
- 7+ years of overall software engineering experience.
- 5+ years of hands-on iOS development experience with Swift.
- Strong command of the iOS SDK, UIKit, and modern Apple frameworks.
- Solid understanding of iOS architecture patterns (MVVM, MVC, VIPER, or Clean Architecture).
- Experience with concurrency (GCD, async/await), networking, and data persistence (Core Data, SQLite, or similar).
- Proficiency consuming and integrating REST/GraphQL APIs.
- Strong grasp of memory management, performance profiling (Instruments), and debugging.
- Experience with Git and collaborative development workflows.
- Familiarity with the full App Store release and provisioning process.
- *Preferred Qualifications
- Experience with SwiftUI and Combine.
- Experience with unit/UI testing frameworks (XCTest) and CI/CD tools (Fastlane, Jenkins, GitHub Actions, etc.).
- Familiarity with dependency management (Swift Package Manager, CocoaPods).
- Experience building apps at scale serving a large, global user base.
- Exposure to analytics, A/B testing, and feature-flagging tools.
- Bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
Responsibilities
- Design, develop, and maintain high-quality, performant iOS applications using Swift.
- Translate product requirements and designs into clean, well-architected, testable code.
- Collaborate closely with product managers, designers, backend engineers, and QA to deliver features on schedule.
- Build and consume RESTful and/or GraphQL APIs and integrate with backend services.
- Write unit and UI tests, and contribute to a robust automated testing and CI/CD pipeline.
- Optimize applications for performance, responsiveness, memory usage, and battery efficiency.
- Participate in code reviews, uphold engineering best practices, and help shape technical direction.
- Diagnose and resolve production issues, crashes, and performance bottlenecks.
- Mentor junior and mid-level engineers and contribute to a strong engineering culture.
Azure Integration Engineer
We are looking for a skilled Azure Integration Engineer with strong experience in Azure middleware technologies, integration architecture, and Git-based source control management. The ideal candidate will be responsible for supporting and enhancing enterprise integrations between Salesforce, Azure Logic Apps, SharePoint, Tableau, and other external systems. The engineer should have hands-on expertise in Azure integration services, CI/CD practices, Git workflows, troubleshooting, and integration monitoring.
Requirements
- Design, develop, support, and maintain integrations using Azure Logic Apps and related Azure services.
- Manage and monitor integrations between Salesforce, Azure, SharePoint, Tableau, and external platforms.
- Troubleshoot integration failures, data flow issues, and performance bottlenecks.
- Implement scalable and secure middleware solutions for enterprise applications.
- Work with REST APIs, webhook integrations, and batch data processing.
- Support integration architecture enhancements and migration activities.
- Git & DevOps Responsibilities
- Manage source code repositories using GitHub and/or Azure DevOps.
- Maintain proper branching strategies, pull request workflows, and version control practices.
- Support CI/CD pipeline setup and deployment automation.
- Ensure source control integrity, code reviews, and release governance.
- Collaborate with DevOps and engineering teams during migration and deployment activities.
- Collaboration & Technical Support
- Work closely with architects, Tableau teams, Salesforce teams, and business stakeholders.
- Provide technical guidance for integration-related issues and operational incidents (P1/P2).
- Participate in architecture discussions and recommend best practices.
- Prepare technical documentation for integrations, deployments, and operational procedures.
Responsibilities
- Strong hands-on experience with:
- Azure Logic Apps
- Azure Functions
- Azure API Management (APIM)
- Azure Service Bus
- Azure DevOps
- Strong knowledge of middleware and enterprise integration patterns.
- Experience with REST APIs, JSON, XML, and web services.
- Excellent Git/GitHub knowledge including branching, merge strategies, and repository management.
- Experience with CI/CD pipelines and deployment automation.
- Understanding of cloud security, scalability, and monitoring concepts.
- Experience troubleshooting production integration issues.
- Preferred Skills:
- Experience integrating Salesforce with Azure services.
- Exposure to Tableau integrations and data flow management.
- Knowledge of SharePoint integrations.
- Experience with Terraform or Infrastructure as Code (IaC) is a plus.
- Familiarity with Agile/Scrum methodologies.
- Experience Required:
- 4+ years of experience in Azure Integration / Middleware development.
- 2+ years of hands-on Git and Azure DevOps experience.
- Experience working in enterprise integration environments.
- Nice to Have:
- Microsoft Azure certifications.
- Experience in migration projects from GitHub to Azure DevOps.
- Knowledge of monitoring tools and logging frameworks
Machine Learning
We are seeking a highly skilled Machine Learning Engineer to join our team on an initial, experimental basis to focus on predictive modeling within the healthcare domain. This role is tasked with analyzing complex healthcare provider data and prescription behavior to uncover actionable insights.
Requirements
- Technical Skills Advanced statistical analytics, machine learning, model development, and MLOps.
- Data Platforms Extensive experience working with Snowflake.
- Domain Knowledge Deep understanding of the US healthcare industry, including NPI and US-specific healthcare taxonomy.
Responsibilities
- Build and deploy scalable machine learning models for predictive analytics.
- Analyze large healthcare data sets to identify patterns in provider engagement and
- prescription behavior.
- Proactively identify useful data patterns and provide insights beyond defined use cases.
- Collaborate with cross-functional teams to integrate models into existing workflows.
Data Scientist
We are looking for a Data Scientist with strong machine learning expertise and hands-on experience in building, deploying, and operationalizing ML models in production environments.
Requirements
- Strong hands-on proficiency in Python for Data Science and Machine Learning use cases.
- Hands-on experience with ML frameworks such as PyTorch, scikit-learn, CatBoost, or similar.
- Familiarity with Kubernetes and Kubernetes-based workflows.
- Experience working with Argo Workflows.
- Data Science & ML Concepts
- Strong understanding of feature engineering techniques.
- Experience with model evaluation and validation methodologies.
- Experience taking ML models from experimentation to production inference.
- Understanding of ML lifecycle management and MLOps principles
Salesforce Developer
We are looking for a skilled Salesforce Developer with 7+ years of experience in designing, developing, and implementing Salesforce solutions. The ideal candidate should have strong expertise in Salesforce customization, integration, and development using Apex, Lightning, and Salesforce platform technologies.
Requirements
- Sr. Salesforce Developer - 6+ years relevant
- Development experience along with solid integration, OOPS, GITOPS.
- Strong experience with Apex, Visualforce, Lightning Web Components (LWC), Aura Components.
- Expertise in Sales Cloud, Service Cloud, and Salesforce Platform.
- Experience with SOQL, SOSL, Triggers, Batch Apex, Queueable Apex, and REST/SOAP APIs.
- Strong knowledge of Salesforce security model, profiles, roles, permission sets, and sharing rules.
- Experience integrating Salesforce with external applications using APIs and middleware.
- Hands-on experience with Salesforce deployment tools such as Change Sets, SFDX, and DevOps processes.
- Experience with Git, CI/CD pipelines, and Agile methodologies.
- Strong debugging, troubleshooting, and performance optimization skills.
- Experience with Experience Cloud (Community Cloud).
- Knowledge of Salesforce CPQ, Marketing Cloud, or Einstein AI.
- Salesforce Certifications (Platform Developer I/II, App Builder, Administrator).
Responsibilities
- Design, develop, test, and deploy Salesforce solutions.
- Build and maintain Apex classes, triggers, LWC components, and integrations.
- Collaborate with business stakeholders to gather and analyze requirements.
- Ensure best practices for Salesforce development, security, and governance.
- Perform code reviews and provide technical guidance to team members.
- Troubleshoot production issues and provide ongoing support.
- Participate in Agile ceremonies and contribute to technical solution design.
senior full stack developer (java +Angular+GenAI)
Leads technical design and development. Ensure high-quality, scalable, and testable application architecture through rigorous design leadership and best practices. Owning complex features, writing quality code and tests, mentoring engineers, and championing quality standards within a CI/CD environment.
Requirements
- Debugging proficiency is required across:
- Distributed services
- API integrations
- UI state management
- Query performance issues
- AI pipeline debugging (Lang Chain, LLM cost optimization, prompt chains)
- Supervisory Responsibility
- This position may have supervisory responsibilities.
- Educational Qualification:
- Bachelor’s degree in computers or software engineering or
- Master’s degree in computer science, Computer Applications
Responsibilities
- Experience and Expertise Requirement :
- 8+ years related software development experience.
- Proficiency in Java, SQL, Mongo and Angular, JavaScript, TypeScript, Node JS.
- Working experience in Angular 6+
- Expertise in Gen AI frameworks, Lang Chain ecosystem, Hugging Face, LLM capabilities, AI cost optimization
- Very strong programming skills and should be able to write optimized, modular code.
- Should have good communication, and interpersonal skills.
- Ability to work in faced-paced agile environment and cope with the speed of scrum process.
- Strong problem-solving skills and attention to detail.
- Traits to take ownership of the components and deliver work that including development, unit testing, and bug-fixing.
- Deep understanding of design principles
- Strong architecture knowledge with experience in HLD + LLD
- Very strong debugging & problem-solving skill
- Ownership mindset and ability to lead design
- Ability to mentor other engineers
- Strong coding excellence (clean code, SOLID, modular design)
- Hands-on across Java, Node, Angular, SQL, Mongo
- GenAI stack proficiency & integration patterns
Data Engineer
We are seeking an experienced Data Engineer with strong expertise in cloud data platforms, workflow orchestration, and modern analytics engineering practices.
Requirements
- Mandatory Technical Skills:
- Strong proficiency in Python for data processing and pipeline development.
- Hands-on experience with Apache Airflow for workflow orchestration.
- Advanced SQL skills and hands-on experience with dbt.
- Strong experience with BigQuery or similar cloud data warehouses.
- Experience working with GCS or equivalent cloud object storage.
- Strong understanding of ETL/ELT patterns, data modeling, and analytics engineering.
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