Gugu Robotics

Salesforce Developer

• Design, develop, and enhance Salesforce functionality using Apex, Lightning Web Components (LWC), Triggers, Batch Apex, Flows and platform APIs.
• Build prototypes to validate requirements, support decision-making, and guide architectural direction.
• Deliver clean, well-structured code that aligns with platform best practices and R&P engineering standards.
• Collaborate with business stakeholders to refine requirements and propose effective technical approaches.
• Develop customizations, automation, and integrations tailored to enterprise operational needs.
• Contribute to solution design discussions across the full development lifecycle.
• Support release processes, including documentation, deployment workflows, and post-release stabilization.
• Build integrations between Salesforce and external systems using REST, SOAP, Bulk, and Streaming APIs.
• Participate in architectural planning to ensure solutions are scalable, secure, and aligned with business objectives.
• Write and maintain unit tests to support predictable, stable deployments.

Recruitment

• Build and maintain warm, long-term pipelines of U.S.-based technical talent including software engineers, AI/ML engineers, forward deployed engineers, and delivery professionals.
• Proactively source talent via outbound channels, technical communities, events, referrals, and open-source platforms.
• Screen and vet candidates for technical alignment and potential cultural fit.
• Create and maintain shortlists for recurring and upcoming project needs.
• Nurture ongoing relationships with passive candidates and maintain consistent touchpoints.
• Develop personalized engagement strategies tailored to candidate interests and career paths.
• Maintain warm talent communities that can be activated quickly for new roles.
• Track availability, interest, and career movements to stay ahead of hiring needs.
• Partner with Sales to support early-stage proposals by providing vetted talent options for upcoming work.
• Work with Marketing to support employer branding, talent newsletters, sourcing campaigns, and events.
• Collaborate with Recruiters and Talent Partners to align sourcing efforts with priority roles and business goals.
• Conduct research on U.S. tech talent markets, emerging skills, compensation benchmarks, and competitive landscapes.
• Identify niche talent pools and areas of opportunity for strategic sourcing.
• Share insights with Talent and Sales teams to guide sourcing plans and project scoping.
• Maintain accurate records, candidate notes, and pipeline segmentation in ATS and sourcing tools.
• Track sourcing performance metrics and recommend improvements to outreach strategies.
• Ensure all pipelines remain organized, compliant, and actionable.

Relationship Sourcer, Talent Attraction

Data Engineer

• Design, develop, and deploy predictive and prescriptive models across a variety of domains (e.g., customer behavior, operational efficiency, personalization).
• Apply machine learning, deep learning, and statistical techniques to solve real-world business challenges.
• Drive experimentation (A/B testing, multi-variate testing) and causal inference to validate hypotheses and measure impact.
• Analyze large, complex datasets to extract key insights and translate them into strategic recommendations.
• Communicate findings clearly and effectively to both technical and non-technical audiences, using compelling data knowledge and visualization.
• Collaborate with product managers and business stakeholders to identify opportunities and frame data science solutions.
• Work closely with data engineers, analysts, and software developers to build scalable, data-powered applications.
• Mentor junior data scientists, supporting technical development and scientific rigor.
• Contribute to the development of reusable assets, tools, and processes to increase team velocity and impact.

Senior Data Architect, Strategist

AI Engineer

• Embed with strategic client as their technical partner for AI system calibration and prompt optimization.
• Build production-grade calibration systems using Python within the client's Azure environment.
• Implement DSPy framework and GEPA optimizer to systematically improve prompt quality and retrieval performance.
• Design and develop Golden Dataset curation workflows using Azure Data Labeling, establishing gold/silver data tier schemas.
• Create evaluation frameworks to measure model accuracy, precision/recall, latency, and hallucination rates.
• Architect prompt optimization pipelines for retrieval, context synthesis, and answer generation tailored to client needs.
• Own the path to production - evaluation pipelines, Azure ML workflows, KPI dashboards, and optimization automation.
• Iterate rapidly based on client feedback and KPI results, translate business goals into technical calibration improvements.
• Establish measurable KPIs and demonstrate accuracy improvements, latency reduction, and hallucination mitigation.

AI Engineer, System Calibration & Optimization

Software Engineer

• Design and implement robust MuleSoft APIs, integrations, and flows using API-led architecture
• Integrate legacy systems, SaaS platforms, hospitality solutions, and third-party services into a unified middleware layer
• Develop reusable connectors, DataWeave transformations, and scalable integration components
• Support implementation of a headless CMS (Contentful) and CDP by exposing, orchestrating, and transforming data
• Diagnose, troubleshoot, and recommend solutions for complex integration challenges across distributed environments
• Apply performance, reliability, observability, and security best practices across all MuleSoft services
• Collaborate closely with experience designers, architects, and data engineers to deliver cohesive, production-ready features
• Participate in technical design reviews, architectural discussions, and iterative product planning
• Build cloud-native, scalable services that support real-time, personalized guest experiences
• Implement testing strategies (unit, integration, functional) to maintain high quality and minimize regressions
• Contribute to continuous improvement, operational readiness, and incident resolution

Senior MuleSoft Developer

Manager

• Lead high-performing distributed teams spanning mobile, backend, data, and AI disciplines, fostering a culture of excellence, accountability, and collaboration.
• Act as the operational bridge between onshore stakeholders and offshore development teams, ensuring clear communication, alignment, and cohesive execution.
• Provide mentorship and strategic guidance to delivery leaders, project managers, and engineers across iOS (Swift), Android (Kotlin), .NET, and Node.js technologies.
• Encourage continuous learning and cross-disciplinary collaboration to maintain cutting-edge technical delivery across evolving tech stacks.
• Own end-to-end delivery of multiple concurrent client engagements, ensuring scope, budget, timeline, and quality benchmarks are consistently met.
• Oversee integration of complex systems leveraging SQL Server, Oracle, Azure DevOps, GitHub, and CI/CD pipelines.
• Define and track delivery KPIs, using data-driven insights to inform strategy and continuous improvement.
• Apply proactive risk management and scenario planning to anticipate and resolve delivery challenges before they impact outcomes.
• Serve as the primary client contact for delivery matters, building trusted, long-term relationships through transparent communication, strategic insight, and consistent execution.
• Lead regular client check-ins and executive briefings to communicate progress, surface opportunities, and align roadmaps.
• Translate complex technical details into clear business value, ensuring clients understand how technical delivery supports strategic objectives.
• Travel monthly to client sites to strengthen relationships, align expectations, and drive partnership success.
• Partner with technical leads and architects to align engineering decisions with business goals and scalable architecture strategies.
• Provide oversight for technical initiatives involving modern mobile development, .NET and Node.js microservices, and AI-driven enhancements built with Python, TypeScript, and Azure OpenAI.
• Advocate for the use of Figma for product design collaboration, Radar/GeoMoby for geofencing, and Oracle Recruiting Booster and Dropbox Sign for enterprise integrations.
• Support architecture and design reviews, ensuring decisions balance innovation, performance, and maintainability.
• Continuously improve agile frameworks and delivery methodologies (Scrum, SAFe, Kanban) to maximize distributed team performance.
• Identify and address delivery bottlenecks using tools such as Jira, Confluence, and Azure DevOps to optimize throughput and accountability.
• Champion automation, CI/CD adoption, and quality-first engineering principles.
• Foster a culture of continuous improvement, transparency, and cross-team collaboration.

Senior Delivery Manager

Full-stack Engineer

• Design, build, and maintain full stack web applications that support agentic and conversational AI experiences
• Develop scalable backend services and APIs to support real-time chat, workflow orchestration, and data processing
• Implement intuitive, high-performance frontends using modern frameworks such as React or Next.js
• Integrate LLMs, agent frameworks, and external APIs to enhance automation and user experience
• Contribute to architectural decisions and design reviews, ensuring reliability, security, and maintainability
• Utilize AI development tools such as GitHub Copilot, Claude Code, or OpenAI Codex to accelerate prototyping and delivery
• Work closely with product managers, UX designers, and cross-functional teams to define and implement product features
• Participate in sprint planning, code reviews, and release coordination
• Support continuous integration and deployment pipelines, ensuring smooth delivery and testing processes
• Collaborate on AI model integration and prompt design in support of intelligent application behavior
• Communicate technical trade-offs and recommendations clearly to both technical and non-technical stakeholders

Salesforce Developer

Relationship Sourcer, Talent Attraction

Senior Data Architect, Strategist

AI Engineer, System Calibration & Optimization

Senior MuleSoft Developer

Senior MuleSoft Developer

Senior Delivery Manager

Full Stack Developer L3 – Agentic AI