Calliere Group

Backend Engineer

• Take ownership of complex engineering initiatives, leading technical design, implementation, delivery, and ongoing operational excellence.
• Design, build, and maintain scalable software solutions using technologies such as C#, .NET Framework, SQL Server, React, jQuery, DocumentDB (MongoDB), Azure, and related integration platforms.
• Develop and support modern service architectures, including RESTful APIs, GraphQL, modular monoliths, microservices, and event- or integration-driven solutions as appropriate.
• Partner closely with Architecture, Product, and DevOps to define technical solutions that are scalable, reliable, performant, secure, and aligned with platform strategy.
• Provide technical leadership and guidance through solution design, code reviews, mentoring, estimation, and hands-on problem solving.
• Contribute to and improve engineering practices such as CI/CD, automated testing, observability, release quality, and operational readiness using Azure DevOps and related tooling.
• Apply sound engineering principles and practices such as domain-driven design (DDD), test-driven development (TDD), vertical slice architecture (VSA), and clean modular design where appropriate.
• Identify and resolve system bottlenecks, reliability concerns, and performance issues across applications, services, data stores, and integrations.
• Leverage AI-enabled tools such as Codex, Claude Code, or similar technologies to improve engineering efficiency and software delivery outcomes.
• Collaborate effectively across teams and stakeholders to drive clear technical decisions, reduce risk, and deliver measurable results.

Senior Software Engineer, .NET

Platform Engineer

• Build and evolve the systems that provision, update, secure, and observe isolated agent execution environments
• Design reusable abstractions around queues, locks, background job processing, and service-bus mechanics
• Extend and refine the infrastructure-as-code foundation (Pulumi)
• Work directly with Linux systems, persistent storage, OS-level disks, container boundaries, permission models, logging pipelines, and runtime debugging
• Operate within a small, high-ownership, cross-functional team running weekly delivery cycles

Senior Software Engineer, Platform

• Contribute across the stack with a primary emphasis on backend systems.
• Design, build, and maintain scalable services and APIs.
• Contribute to product features end-to-end.
• Maintain and extend integrations while ensuring systems can scale with growth.
• Diagnose and resolve performance issues, bugs, and developer experience challenges.
• Contribute to ongoing improvements in engineering practices and architecture.
• Example initiatives may include improving how users interpret performance data, building unified data access layers, and handling large-scale ingestion of external data sources.

Senior Software Engineer, Backend

AI Engineer

• Build and own backend services in Python and Node.js, architect serverless compute layers, and develop the APIs that tie frontend experiences to the underlying data and logic.
• Contribute to sophisticated workflow engines; state machines, asynchronous event pipelines, and reliable retry/failure patterns across distributed services.
• Design and evolve RESTful interfaces, integrate third-party and internal systems, and leverage advanced NoSQL data modeling techniques (composite key strategies, transactional operations) to keep things fast and correct under load.
• Monitor, debug, and continuously improve system observability and deployment reliability on cloud-native infrastructure.
• Collaborate across time zones, contribute meaningfully in code reviews, take end-to-end ownership of features, and help shape how the team works, not just what it ships.

Principal AI Engineer – Distributed Systems, Intelligent Platforms

• Design, implement, and deploy AI/ML systems end-to-end, from prototypes to hardened production services
• Build and maintain data pipelines, retrieval layers, and training/inference workflows that support LLM and other model types
• Develop and evolve retrieval-augmented generation (RAG) setups, including chunking strategies, embedding selection, and vector search design
• Implement and tune agentic / multi-step workflows that orchestrate tools, APIs, and models to complete complex tasks
• Add observability around AI behavior: evaluations, logging, metrics, and guardrails to monitor quality, drift, and failures
• Integrate models with existing application backends and APIs, and design clean interfaces for internal and external consumers
• Optimize systems for performance and cost (token usage, caching strategies, routing between models, etc.)
• Contribute to architecture decisions, code reviews, and technical strategy within your team

Senior AI Engineer

Full-stack Engineer

• Build and maintain backend services in Node.js, including serverless components (for example, functions-as-a-service and API gateways)
• Design and integrate APIs that power web frontends, partner integrations, and AI-augmented features
• Contribute to frontend work using modern state management and interaction patterns, with an emphasis on accessibility and keyboard-friendly UI
• Write clean, well-structured, and well-tested code with a strong focus on automated unit and integration tests
• Support the design and maintenance of workflows using orchestration tools such as workflow engines or state machines
• Contribute to event-driven and asynchronous processing using queues, pub/sub, or similar messaging patterns
• Improve reliability by strengthening error handling, retries, and failure recovery paths
• Develop and evolve RESTful APIs within a modular or microservices-style architecture
• Integrate with large internal and external systems, including data platforms and institutional services
• Help optimize performance and scalability of services, including thoughtful schema and access-pattern design for SQL or NoSQL stores
• Implement secure data handling practices aligned with privacy and compliance expectations
• Investigate and resolve issues in production environments, collaborating with more senior team members where needed
• Contribute to logging, monitoring, and debugging workflows so the team can see and trust what the system is doing in real time
• Support deployment and release processes in a cloud-native environment, including reviewing and improving pipelines over time
• Work closely with distributed, cross-functional teams building large-scale platforms in domains such as education, financial services, or enterprise SaaS
• Participate in code reviews, design sessions, and technical planning
• Take ownership of features spanning UI, API, and data layers, driving them from definition through to production rollout
• Continually grow your skills, staying current with modern Node.js, cloud, and frontend practices

Senior Fullstack Engineer, Node

• Design and build REST APIs and web applications for cloud services and on-site device configuration, monitoring, and management
• Develop intuitive management UIs for both cloud-based workflows and local hardware deployment
• Architect backend services that bridge cloud (AWS) and on-premises AI compute environments
• Design low-latency database schemas covering job tracking, results storage, audit logging, and device management
• Build and maintain containerized AI inference pipelines deployed on both cloud and dedicated GPU hardware
• Implement end-to-end observability (telemetry, logging, alerting) across distributed environments
• Identify and resolve performance bottlenecks in inference pipelines and large binary data workflows
• Ensure software meets regulatory compliance standards (FDA 21 CFR Part 11/820, SOC2)
• Partner closely with ML Engineering and Research teams to bring models into production
• Contribute to design reviews, architecture discussions, and incident response rotations
• Produce technical documentation for API specs, deployment guides, and regulatory submissions