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We are looking for a skilled Dynamics 365 CRM Developer with 4–9 years of experience in CRM development, customization, integrations, and Power Platform technologies. The ideal candidate should have hands-on experience in building scalable CRM solutions and working with Microsoft technologies.
View DetailsWe are hiring a DevOps Engineer with around 3 years of hands-on experience supporting and automating cloud infrastructure on Google Cloud Platform (GCP). You'll work alongside our engineering teams to keep environments reliable, ship code smoothly through CI/CD, and maintain visibility into how our systems are running. The focus is on solid, practical DevOps fundamentals — Infrastructure as Code, containers, pipelines, and monitoring — applied day to day on GCP. This is a growth role: you'll deepen your cloud and automation skills with room to take on more ownership over time.
View DetailsDesign, develop, deploy, and optimize enterprise AI/ML, Deep Learning, Computer Vision, and Generative AI solutions. Build scalable AI platforms, LLM applications, RAG systems, Agentic AI workflows, AI chatbots/copilots, and intelligent automation while ensuring performance, security, scalability, and production readiness.
View DetailsRole Overview We are seeking a Senior Agentic AI Architect who has already designed and deployed AI agent systems in production environments. This role focuses on building autonomous or semi-autonomous AI agents that can reason, plan, use tools, and interact safely with external systems. The successful candidate will design agent reasoning loops, memory systems, tool integrations, and escalation paths while ensuring these systems operate reliably in real operational environments. This role requires someone who understands not only how to build agents, but also the practical pitfalls of operating them in production. Core Responsibilities Agent Architecture Design and implement production AI agents capable of executing complex workflows. Responsibilities include: ● Designing reasoning loops for planning, tool selection, and self-correction ● Building multi-agent orchestration systems ● Implementing memory systems including short-term context and vector memory ● Defining escalation paths to human operators when needed ● Implementing guardrails to ensure safe and predictable agent behaviour. LLM and Agent Systems Engineering Build robust LLM-driven systems that integrate with business workflows. Responsibilities include: ● Building production RAG pipelines using vector databases ● Implementing structured outputs and function calling ● Designing context management strategies for complex tasks ● Integrating agents with external APIs and business systems ● Applying prompt and context engineering techniques to improve reliability Production Deployment Ensure that agent systems operate safely and reliably in production. Responsibilities include: ● Deploying agents used by real users and operational teams ● Implementing monitoring and logging for agent behaviour ● Managing token usage and LLM cost efficiency ● Diagnosing hallucinations, tool failures, and workflow breakdowns ● Implementing fallback and escalation mechanisms when agents encounter Uncertainty. Production Experience (Critical Requirement) Candidates must have real production experience deploying AI agent systems. This includes experience with: ● Multi-step agent reasoning loops ● Safe tool use and external system integration ● Human-in-the-loop escalation workflows ● Monitoring and reliability of LLM systems ● Guardrails to mitigate hallucinations and unsafe outputs ● Managing cost and performance of LLM-based systems Candidates who have only experimented with agent frameworks or built prototypes without deploying production systems will not be considered a strong fit. Essential Qualifications Candidates should demonstrate: ● 7+ years software engineering experience ● 2+ years working with LLM or agent-based systems in production ● Strong Python backend development skills ● Experience with frameworks such as LangGraph, LangChain, CrewAI, AutoGen, or similar ● Experience building RAG pipelines and working with vector databases ● Experience integrating AI systems with APIs and external services Education: Bachelor’s or master’s degree in computer science, Artificial Intelligence, Software Engineering, or equivalent practical experience.
View DetailsAbout the Role: We are looking for an experienced Salesforce Developer with 5–6 years of hands-on experience in designing, developing, and implementing scalable Salesforce solutions. The ideal candidate should have strong expertise in Apex, Lightning Web Components (LWC), integrations, and Salesforce best practices. The candidate will work closely with business stakeholders, solution architects, and cross-functional teams to deliver high-quality CRM solutions. Key Responsibilities • Design, develop, test, and deploy Salesforce applications using Apex, Lightning Web Components (LWC), Aura Components, Visualforce, Flows, and SOQL/SOSL. • Customize Salesforce Sales Cloud, Service Cloud, and Experience Cloud based on business requirements. • Develop REST and SOAP API integrations with external applications. • Build scalable and reusable components following Salesforce development best practices. • Configure Flows, Validation Rules, Approval Processes, and Process Automation. • Perform code reviews and ensure adherence to coding standards. • Troubleshoot production issues and provide timely resolutions. • Collaborate with Solution Architects, Business Analysts, QA teams, and stakeholders throughout the project lifecycle. • Optimize application performance and maintain system reliability. • Participate in Agile ceremonies including sprint planning, daily stand-ups, and retrospectives. • Prepare technical documentation and deployment plans. Required Skills • 5–6 years of hands-on Salesforce development experience. • Strong expertise in Apex, Triggers, Batch Apex, Queueable Apex, Future Methods, and Scheduled Apex. • Extensive experience with Lightning Web Components (LWC). • Good knowledge of Aura Components and Visualforce. • Strong understanding of Salesforce Sales Cloud and Service Cloud. • Experience with Salesforce Flow and Process Automation. • Hands-on experience with REST APIs, SOAP APIs, Platform Events, and Web Services. • Strong knowledge of SOQL, SOSL, and Salesforce data modeling. • Experience with Salesforce security, sharing rules, profiles, permission sets, and role hierarchy. • Experience using Git, Azure DevOps, GitHub, Bitbucket, or similar version control systems. • Familiarity with CI/CD pipelines and Salesforce deployment tools (SFDX, Change Sets, Copado, Gearset, or AutoRABIT). • Strong debugging and troubleshooting skills. Preferred Skills • Experience with Experience Cloud (Community Cloud). • Knowledge of Salesforce Industries (Vlocity) is an advantage. • Experience with Einstein AI or Agentforce is a plus. • Familiarity with JavaScript, HTML5, CSS, and modern web development practices. • Experience working with integration platforms such as MuleSoft, Boomi, or Informatica is preferred. • Exposure to Salesforce DevOps practices. Certifications (Preferred) • Salesforce Certified Platform Developer I (Mandatory Preferred) • Salesforce Certified Platform Developer II (Good to Have) • Salesforce Administrator Certification • Salesforce App Builder Certification Education • Bachelor's degree in computer science, Information Technology, Engineering, or a related field. Soft Skills • Excellent communication and interpersonal skills. • Strong analytical and problem-solving abilities. • Ability to work independently and collaboratively in Agile teams. • Strong ownership, accountability, and attention to detail. • Ability to mentor junior developers and contribute to technical discussions. Qualifications: Pass out Year before 2021
View DetailsWe're always looking for exceptional talent. Send us an open application and we'll reach out when the right opportunity opens up.
