Jobs at Gramian Consulting Group

Manage and monitor GCP production deployments, maintain uptime and performance, troubleshoot Cloud Run, Kubernetes, containerized, backend, and infrastructure issues, and maintain Python production services. Respond to incidents, support highly concurrent workloads, collaborate on service improvements, and document fixes, deployment procedures, and operational runbooks.

Conduct advanced research in Algebraic Geometry, develop and critique complex mathematical proofs, analyze theoretical frameworks, formalize reusable specifications, and translate abstract mathematical structures into technical models. The role includes documenting findings, communicating highly abstract concepts, and collaborating with a specialized research team during a four-week contractor assignment.

Conduct advanced research in Algebraic Geometry, develop and critique complex mathematical proofs, investigate foundational problems, and build theoretical frameworks. Formalize structural patterns into reusable specifications and technical models, contribute to mathematically inspired architecture design, communicate abstract concepts to technical audiences, document findings, and collaborate with a specialized research team. This is a four-week contractor assignment requiring PhD-level expertise and a strong publication record.

Review, label, classify, and validate data used to train and evaluate Gemini. Apply detailed guidelines consistently, identify edge cases and annotation issues, perform quality checks, escalate unclear cases, and provide feedback. This is a short-term remote freelance contract requiring 40 hours weekly, including PST overlap. Candidates must be U.S.-based, eligible for 1099 contracting, students or recent graduates, experienced with at least 20 recent Gemini chat sessions, and comfortable sharing Gemini history.

Leads multidisciplinary manufacturing engineering, design, and CNC programming teams for a precision-machining manufacturer. Responsibilities include Lean manufacturing, process optimization, product industrialization, machinery and automation integration, workflow and layout design, CNC machining optimization, and technical project management. The role supports improvements in productivity, quality, precision, and production capacity.

Own the strategy, roadmap, commercialization, market positioning, security standards, go-to-market strategy, and P&L for advanced hardware-security products. The role requires extensive technical product management experience with physical cybersecurity hardware, embedded security architectures, cryptography, hardware trust anchors, certification processes, FIPS, Common Criteria, TCG specifications, firmware, operating systems, and attestation. Responsibilities also include defining and executing software testing, documenting defects, validating fixes, and maintaining quality standards.

Develop onboard and ground-control software for autonomous robotic systems. Responsibilities include telemetry, operator interfaces, embedded systems, communication protocols, real-time data and video streaming, GUI development, performance optimization, testing, CI/CD, and debugging distributed robotics systems.

Design difficult open-web research problems for benchmarking frontier AI browsing agents. Responsibilities include constructing multi-step questions, validating clues across databases, archives, registries, and PDFs, documenting auditable evidence trails, recording search validation results, testing research difficulty, resolving ambiguity, and delivering reproducible research documentation.

Design difficult open-web research problems for benchmarking frontier AI browsing agents. Responsibilities include constructing multi-step questions, validating clues through government and institutional sources, tracing evidence across archives and PDFs, documenting auditable citations, testing search difficulty, eliminating ambiguity, and delivering reproducible research documentation.

Build scalable, resilient, and secure backend microservices and APIs for production AI applications across AWS and Azure. Integrate databases, third-party services, legacy platforms, and AI systems; optimize performance for real-time workloads; implement authentication, authorization, RBAC, and rate limiting; and apply testing, CI/CD, Git, code review, and containerization best practices.

Build responsive, high-performance frontend applications for AI-driven enterprise solutions. Develop reusable components using modern frameworks, integrate REST APIs, WebSockets, and real-time streaming responses, optimize performance and state management, apply WCAG accessibility standards, write component-level tests, establish frontend engineering patterns, and collaborate with UX, backend, platform, and AI engineering teams.

Design and maintain automated testing strategies for AI-enabled applications across frontend, backend, APIs, data flows, and integrations. Build automation suites, validate LLM prompts and outputs, perform integration, regression, end-to-end, performance, and load testing, investigate defects, support root-cause analysis, and integrate quality standards and release gates with development and platform teams.

Designs end-to-end enterprise AI architectures on AWS, including LLM orchestration, integrations, cloud infrastructure, security, scalability, and governance. Leads technical discovery workshops, creates architecture documentation and standards, guides engineering squads, reviews designs, presents decisions to senior stakeholders, and evaluates third-party AI platforms for buy-versus-build decisions. Requires extensive senior architecture experience and fluent Dutch and English.

Design, build, and deploy production-grade autonomous agents, multi-agent systems, and LLM-powered enterprise applications. Develop reusable orchestration patterns, integrate models with APIs, databases, tools, and enterprise systems, and implement structured outputs, memory, monitoring, tracing, evaluation, and recovery workflows. Deploy secure, scalable AI solutions primarily on AWS while applying MLOps and AIOps practices. Collaborate with engineering, data, cloud, and business teams.

Senior Business Analyst translating insurance business needs into functional requirements for AI and automation initiatives. Responsibilities include defining use cases, mapping workflows, facilitating business and technical workshops, writing user stories and acceptance criteria, conducting gap analyses, and supporting UAT. The role bridges insurance stakeholders, data and AI teams, and engineering squads while ensuring solutions meet operational, regulatory, and customer requirements.

Build scalable pipelines to ingest and process high-volume unstructured insurance documents, including PDFs, scans, emails, Word, Excel, and PowerPoint files. Responsibilities include OCR integration, document parsing, text normalization, semantic chunking, metadata extraction, enterprise connectors, retrieval-ready data preparation for RAG systems, validation, monitoring, logging, testing, and secure cloud deployment using software engineering best practices.

Build and secure cloud infrastructure for production AI solutions across AWS and Azure. Responsibilities include designing CI/CD pipelines, implementing Infrastructure as Code, integrating security scanning and compliance controls, managing Docker and Kubernetes environments, configuring IAM and network security, monitoring and logging systems, improving reliability, and supporting penetration testing remediation.

Manage a specialized precision-manufacturing unit, overseeing production performance, quality consistency, process improvement, industrialization of new references, resource allocation, technical troubleshooting, and supervision of a small production team. Ensure manufacturing procedures and quality standards are followed while coordinating priorities, tooling, materials, and first-level technical support.

Design, develop, and optimize highly available, scalable microservices for a real-time, high-throughput gaming platform. Work on event-driven systems, APIs, databases, testing, deployments in AWS, performance monitoring, and cross-team technical collaboration.

Lead semiconductor and embedded systems product development from concept to production. Define scope, schedules, budgets, and risks; coordinate multidisciplinary and international hardware, software, validation, and operations teams; manage suppliers and stakeholder reporting to ensure timely delivery and production readiness.