Jobs at Modus Create

Manage enterprise digital products and defined product areas in a consulting environment. Translate business needs into roadmaps, priorities, backlogs, and actionable outcomes. Lead cross-functional collaboration across engineering, design, business, and client stakeholders; guide delivery teams; manage risks, dependencies, timelines, and communications; and balance technical considerations with customer and business priorities. Drive initiatives from planning through execution while improving adoption and measurable impact.

Lead enterprise-scale migrations to GitHub Enterprise Cloud, including repositories, users, permissions, workflows, Enterprise Managed Users, IAM, and data residency. Design and maintain scalable internal developer platforms, Kubernetes-based infrastructure, CI/CD pipelines, and self-service capabilities using cloud-native technologies and infrastructure as code. Validate integrations, document governed environments, mentor client teams, and collaborate independently with distributed stakeholders.

Lead enterprise-scale migrations to GitHub Enterprise Cloud, including repositories, users, access controls, workflows, Enterprise Managed Users, and data residency. Build governed identity and access environments, validate integrations, and document handoffs. Design and maintain scalable internal developer platforms, standardize tooling, and develop self-service infrastructure and CI/CD capabilities. Partner with client IT teams, mentor engineers, and apply cloud-native architecture, Kubernetes, automation, and Infrastructure as Code practices.

Partners directly with customers to discover complex technical challenges and design, build, integrate, and deploy scalable AI-powered applications. Develops production-ready Python and TypeScript solutions, APIs, distributed systems, LLM and generative AI workflows, agentic architectures, and cloud integrations. Translates business requirements into technical architectures while collaborating with stakeholders, product teams, and engineers throughout the delivery lifecycle.

Build and deploy AI-powered applications, agents, copilots, and intelligent workflows for enterprise clients. Translate ambiguous business problems into scalable architectures and production software using LLMs, Generative AI, APIs, enterprise systems, and data sources. Rapidly prototype solutions, validate them with users, and implement monitoring, evaluation, and feedback mechanisms. Collaborate with technical and business stakeholders to move successful AI solutions into production while clearly communicating recommendations.

Lead the architecture and delivery of complex, production-grade digital products while remaining hands-on in React, TypeScript, AWS, APIs, backend services, and distributed systems. Partner directly with clients and senior stakeholders, guide technical decisions, lead projects from discovery through production, mentor engineers, and establish engineering standards. Incorporate AI-assisted and agentic coding tools into development workflows, with opportunities to build AI-powered applications and lead cloud modernization initiatives.

Architect and deliver production-grade cross-platform mobile applications using Flutter and/or React Native. Lead architecture, development, testing, performance optimization, CI/CD, and App Store and Google Play deployment. Integrate APIs, cloud services, authentication, SDKs, and AI/LLM capabilities. Collaborate with clients and product teams, make pragmatic technical decisions, mentor engineers, and establish mobile engineering standards while using AI-assisted and agentic development tools.

Design, build, and deploy production-ready intelligent solutions using machine learning, deep learning, generative AI, and large language models. Develop RAG pipelines, integrate AI services, manage model deployment and MLOps workflows, and apply strong software engineering practices. Collaborate with engineering, product, and data teams in a distributed environment to create scalable, reliable, responsible AI-powered products.

Build and deploy AI-powered applications for customers, combining Python and TypeScript application engineering with LLMs, generative AI, agent orchestration, APIs, distributed systems, and cloud platforms. Partner with stakeholders to understand requirements, design scalable architectures, rapidly prototype solutions, integrate AI capabilities, and evolve proofs of concept into production systems. The role also involves customer-facing consulting, technical decision-making, and collaboration throughout the solution lifecycle.

Designs, develops, integrates, and deploys intelligent solutions using machine learning, deep learning, generative AI, and LLMs. Builds production-ready AI applications, RAG pipelines, and NLP systems; manages model evaluation, optimization, monitoring, versioning, and deployment. Collaborates with engineering, product, and data teams in a distributed environment while emphasizing scalability, maintainability, testing, observability, responsible AI, and cost efficiency.

Design, build, deploy, and integrate AI-powered applications and scalable software solutions for customers. Partner with stakeholders to understand business challenges, develop architectures, integrate APIs and distributed systems, and implement LLM, generative AI, agentic, and cloud technologies. Translate requirements into production-ready solutions while collaborating with customers, product teams, and engineers throughout discovery, prototyping, implementation, and deployment.

Manage enterprise products and defined product areas in a digital consulting environment. Translate business needs into roadmaps, priorities, backlogs, and actionable outcomes. Lead collaboration across engineering, design, business, and client stakeholders while coordinating delivery teams, timelines, dependencies, risks, and communications. Balance technical constraints with business priorities and customer outcomes, driving initiatives from planning through execution.

Manage enterprise digital products, platforms, and defined product areas in a consulting environment. Translate business needs into roadmaps, priorities, backlogs, epics, stories, and acceptance criteria. Lead cross-functional collaboration across engineering, design, business, and client stakeholders; coordinate delivery teams; manage dependencies, risks, timelines, and communications; resolve blockers; and balance technical constraints with business and customer outcomes.

Design and build production-grade data pipelines on Databricks and AWS extracting from enterprise ERPs, implement medallion architectures, ensure data quality/governance, collaborate with business SMEs, and deliver AI-ready data products.