Lead the design, development, and maintenance of scalable backend services and APIs for Noetica’s document analysis platform, collaborating with AI/ML experts and legal SMEs to deliver high-performance, data-intensive solutions.
Locations (6)
New York City, New York, United States
San Francisco, California, United States
Los Angeles, California, United States
Irvine, California, United States
McLean, Virginia, United States
Washington, District of Columbia, United States
Compensation
The base compensation range for the role in any of those locations is $183,100 USD - $340,000 USD. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $158,900 USD - $295,100 USD.
Responsibilities
Design and build scalable backend services and APIs
Write maintainable, high-performance server-side code and data processing pipelines
Define clear, efficient API contracts and contribute to service architecture decisions
Design and craft compositional API primitives
Build and maintain integrations with third-party services and internal ML systems
Requirements
Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience)
Build and ship features for an AI-enabled revenue cycle management platform, including full-stack development, event-driven services, integrations, and AI agent orchestration.
Locations (2)
Chicago, Illinois, United States
United States
Compensation
The target base compensation for this position is $130,000 to $160,000 USD per year in most US locations. Final offer amounts are determined by multiple factors including location, local market variances, and candidate experience and expertise, and may vary from the amounts listed above.
Responsibilities
Build and ship features across a full-stack RCM worklist platform, from the user interface through backend services, APIs, and the data model
Develop event-driven services and workflows that route, prioritize, and track work across people and AI agents
Help build the shared automation foundation: the queues, state, and handoff logic that let an AI agent pick up a work item, finish it, or hand it back to a person, along with audit history, approval gates, and access controls for agent actions
Build and maintain integrations that connect the platform with EverHealth products, our clearinghouse, and third-party systems
Full Stack Engineer driving the technical vision for production and workforce tools, impacting order processing and shipping efficiency.
Locations (3)
Warsaw, Poland
Mārupe, Latvia
Riga, Latvia
Responsibilities
Design and implement backend systems for production workflows, quality inspection, order flows, shift scheduling, time tracking, and productivity analytics
Develop frontend interfaces and data visualisations for operators and managers
Integrate software with production equipment such as printers, scanners, inspection systems, and conveyors
Improve accuracy of production planning and delivery estimates
Collaborate closely with product managers, operations teams, and other engineers
As a Full Stack Engineer, you'll be driving the technical vision for the production and workforce tools our facilities depend on. Your work will directly impact how fast, accurately, and efficiently we turn orders into shipped products.
Locations (2)
Rīga, Latvia, Latvia
Mārupe, Latvia, Latvia
Compensation
Monthly salary up to EUR 6,000 gross
Responsibilities
Design and implement backend systems for production workflows, quality inspection, order flows, shift scheduling, time tracking, and productivity analytics
Develop frontend interfaces and data visualisations for operators and managers
Integrate our software with production equipment such as printers, scanners, inspection systems, and conveyors
Improve the accuracy of production planning and delivery estimates to reduce late shipments
Collaborate closely with product managers, operations teams, and other engineers to iterate on feature development
Lead the technical vision for inventory procurement, warehouse management, and equipment maintenance systems, driving end-to-end development of backend and frontend solutions.
Locations (3)
Warsaw, Poland, Poland
Mārupe, Latvia, Latvia
Riga, Latvia, Latvia
Responsibilities
Design and implement backend systems for inventory procurement, warehouse management, and equipment maintenance management
Develop frontend interfaces and data visualisations for operators and managers
Analyze the effectiveness of current processes and help improve them
Collaborate closely with product managers, operations teams, and other engineers to iterate on feature development
Take ownership of initiatives, from concept to delivery
Design and implement backend and frontend systems for inventory procurement, warehouse management, and equipment maintenance, driving technical vision for production and workforce tools.
Locations (2)
Rīga, Riga, Latvia
Mārupe, Mārupe, Latvia
Compensation
Monthly salary up to EUR 6,000 gross
Responsibilities
Design and implement backend systems for inventory procurement, warehouse management, and equipment maintenance management
Develop frontend interfaces and data visualisations for operators and managers
Analyze the effectiveness of current processes and help improve them
Collaborate closely with product managers, operations teams, and other engineers to iterate on feature development
Take ownership of initiatives, from concept to delivery
Lead the design and implementation of production-grade AI agent systems, including backend services, orchestration, retrieval, evaluation, observability, and deployment.
Own the technical design and implementation of AI agent systems
Build robust backend services, APIs, adapters, and connectors
Design agent workflows involving tool use, routing, state management, memory, retrieval, human-in-the-loop steps, and controlled multi-step execution
Develop retrieval and knowledge-grounding capabilities, including RAG pipelines, SQL-based agents, web search, reranking, citation, and context management
Define and implement evaluation strategies using representative datasets, golden tests, failure taxonomies, regression testing, human review, and production feedback
Requirements
Master’s degree in Computer Science, Software Engineering, or a related technical field
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