Jobs at Modus Create

Build AI-powered integrations, prototypes, and customer solutions using full-stack engineering, APIs, agentic architectures, and AI products. Work directly with customers to understand technical environments, identify product opportunities, implement integrations, and explain solutions to technical and non-technical stakeholders. The role requires autonomy, rapid prototyping, problem-solving, and product enablement across ambiguous, fast-moving environments.

Build AI-powered integrations, prototypes, and full-stack applications for customers. The role involves understanding customer environments, integrating APIs and services, applying agentic architectures and AI products, rapidly developing solutions, and enabling customers to adopt products effectively. Engineers communicate with technical and non-technical stakeholders, independently research unfamiliar systems, and operate autonomously in ambiguous environments.

Build and deploy customer-facing applications integrating Python, cloud platforms, APIs, Generative AI, and LLMs. Collaborate with clients, product teams, and engineers to translate business challenges into practical solutions, develop prototypes, implement AI agents and workflows, and move AI-powered features from experimentation into production.

Build and deploy practical AI-powered applications for clients using Python, LLMs, Generative AI, APIs, and cloud platforms. Collaborate with customers, product teams, and engineers to translate business needs into technical solutions, develop prototypes, integrate systems, test, debug, and deploy production applications. The role may involve RAG, AI agents, agentic workflows, vector databases, MLOps, and solution architecture.

Build and deploy practical AI-powered applications for clients using Python, Generative AI, LLMs, APIs, and cloud platforms. Collaborate with customers, product teams, and engineers to understand challenges, prototype solutions, integrate AI capabilities, and move features into production. Responsibilities include application development, testing, debugging, deployment, system integrations, AI agent workflows, solution architecture, and exploring technologies such as RAG, vector databases, MLOps, and AI observability.

Build and operate reliable, observable backend systems across AWS infrastructure and Python services. Responsibilities include defining SLOs and error budgets, designing monitoring and observability, leading incident response and postmortems, managing 24/7 on-call, improving performance and capacity, automating toil reduction, and creating reliability standards, runbooks, and documentation. The role also mentors SRE engineers, collaborates with client teams, and supports AI workloads and modern cloud platforms.

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.

Conduct high-volume outbound prospecting across the US and Canada, research prospects, personalize outreach, qualify opportunities, and schedule meetings for the Sales team. Maintain accurate CRM records, support pipeline reporting, collaborate on sales and marketing optimization, provide market feedback, and attend industry events as needed.

Leads and coaches a Sales Development team while personally conducting outbound prospecting, researching prospects, qualifying opportunities, scheduling sales meetings, and managing CRM records. Owns KPI reporting, forecasting, performance development, recruiting support, and sales pipeline quality. Collaborates with Sales and Marketing to improve messaging, share market insights, and optimize lead-generation processes. This is a remote player-coach role covering the US and Canada.

Build and operate reliable, observable backend systems across AWS infrastructure and Python services. Responsibilities include defining SLOs and error budgets, designing monitoring, managing incident response and 24/7 on-call operations, conducting postmortems, automating toil reduction, optimizing performance, and improving deployment reliability. The role also mentors SRE engineers, creates operational documentation, collaborates with client teams, and supports AI workloads and platform reliability strategies.

Leads client-facing database migration and modernization engagements across AWS, relational, and NoSQL platforms. Designs migration architectures, data pipelines, ETL/ELT workflows, proof-of-concepts, and reusable technical accelerators. Facilitates executive conversations and workshops, translates complex technical solutions into business outcomes, and supports pre-sales opportunities. The role also develops GenAI-enabled migration tooling, influences senior stakeholders, and collaborates with distributed engineering, product, and data teams.

Design and deliver cloud-native data platforms, scalable big data pipelines, lakehouses, warehouses, transformation frameworks, BI solutions, and ML-enabled data workflows. Lead client-facing pre-sales engagements, technical workshops, proof-of-concepts, executive conversations, and enterprise data modernization initiatives. Build reusable architectural IP, influence senior stakeholders, and translate ambiguous business challenges into production-ready solutions using AWS and modern data technologies.

Lead digital product delivery for client teams from problem framing through release and adoption. Translate business intent into outcomes, requirements, priorities, features, stories, and acceptance criteria. Facilitate discovery and stakeholder alignment, manage tradeoffs, risks, dependencies, and delivery decisions, and partner with engineering, design, quality, and business teams. Use customer evidence, adoption signals, and success metrics to evaluate impact and guide iteration.

Lead enterprise-scale migrations to GitHub Enterprise Cloud, including repositories, users, access controls, workflows, Enterprise Managed Users, and data residency. Design governed identity and access environments, validate integrations, and deliver documented handoffs. Build and maintain scalable internal developer platforms, infrastructure automation, CI/CD pipelines, Kubernetes-based services, and self-service capabilities. Partner with clients, mentor teams, and support cloud-native modernization using Azure, Terraform, and GitHub tooling.

Lead digital product delivery for client teams from problem framing through release and adoption. Responsibilities include discovery, requirements, prioritization, backlog and story management, stakeholder alignment, risk and dependency management, cross-functional collaboration, and defining success metrics. The role independently guides product decisions across engineering, design, quality, business, and delivery teams in complex consulting environments.

Lead digital product delivery for client teams from problem framing through release and adoption. Responsibilities include discovery, requirements, prioritization, stakeholder alignment, risk and dependency management, delivery coordination, and defining success metrics. The role partners with engineering, design, quality, and business teams to turn ambiguous business intent into measurable product outcomes.

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 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.