Design, develop, and maintain real-time conversational AI systems to power an automated patient call center. Lead the optimization of voice pipelines, including VAD tuning and latency management, while mentoring junior engineers.
Remote Software Development Jobs (49,554)
Job category = Software Development
Design and implement flight control algorithms and simulations for novel VTOL aircraft. Collaborate with flight test and systems engineering teams to verify vehicle capabilities and improve model fidelity.
AI Learning & Enablement Specialist Contract Opening
AI Technology Partners
·
Full Time
·
1 Week Ago
AI Technology Partners
Design and develop scalable AI learning programs and deliver engaging workshops and training sessions. Support enablement initiatives and translate complex AI concepts into practical learning experiences.
Lead the development and optimization of credit strategies and underwriting frameworks to balance growth and risk. Collaborate cross-functionally with Engineering, Product, and Legal teams to ensure regulatory compliance and scalable risk modeling.
Design and implement AI-driven QA workflows to ensure marketing collateral is flawless, on-brand, and compliant. Manage the marketing backlog and build automations to streamline repetitive tasks and campaign execution.
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Design and manage the Platform and Hybrid Scale Integration Playground to enable early-stage validation and scale testing. Develop benchmark test suites and Terraform-based infrastructure to detect regressions and support large-scale simulation environments.
Lead and motivate a team of customer service representatives to achieve performance targets and maintain high service standards. Oversee quality assurance programs and utilize call center metrics to provide coaching and resolve escalated customer issues.
Responsible for abstracting, coding, and sequencing clinical information from various inpatient and outpatient medical records. Ensures accurate assignment of principal and secondary diagnoses and procedures to maintain compliance and optimize reimbursement.
The role focuses on generating value-driven insights from manufacturing and quality data to support New Product Introduction and Product Operations. It involves automating manual workflows using AI and developing intelligent dashboards for executive-level visibility.
You will build the Solutions Engineering function from scratch, creating playbooks and processes. Additionally, you will lead the technical sales process, ensuring customer needs are met and the platform is effectively communicated.
Deliver scalable data pipelines, transformation layers, and infrastructure for various client engagements. Mentor other data engineers and contribute to internal standards, proposals, and the wider data community.
Architect and implement optimization solutions using MILP solvers and deploy FastAPI-based microservices for ML workflows. Lead and mentor a team of engineers while serving as the primary technical point of contact for clients.
Lead the ABAP technical delivery and support for Global ERP, HCM, and Payroll applications across on-premise and cloud environments. Translate functional specifications into code and guide the development work of an offshore IT center in India.
Senior Specialist, Quality Assurance – Drug Substance
CG Oncology
·
Full Time
·
1 Week Ago
CG Oncology
The Senior Specialist is responsible for executing quality assurance activities supporting clinical and commercial manufacturing of drug substances. This includes batch record review, vendor oversight, and ensuring compliance with cGMP standards.
Develop and prototype agentic and generative AI systems to solve complex information operations challenges for government and corporate clients. Collaborate with cross-functional teams to translate customer needs into scalable production-level software and strategic product roadmaps.
The Medical Records Coder II is responsible for accurately coding medical records using ICD-10-CM and CPT-4 conventions to ensure optimal reimbursement. They also coordinate the work of subordinate employees and assist in the development of continuing education programs.
Build and maintain MCP servers to connect LLMs to enterprise systems and develop production-grade agentic workflows. Collaborate with cross-functional stakeholders to automate business processes and create technical documentation for AI adoption.
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Develop world-class products and features within cross-functional teams while maintaining the technical stack. Mentor junior developers and contribute to decisions regarding production systems, architecture, and internal tooling.
Build and improve core ML components across data, training, evaluation, and inference for a proactive AI smart assistant. Focus on shipping production-quality code to ensure high reliability, low latency, and effective real-world task completion.
The role involves owning critical ML subsystems end-to-end, from data preparation and training to production deployment. You will build core systems for a proactive AI assistant, focusing on reliability, scalability, and real-world task completion.
Develop and maintain a production-grade iOS application focused on AI-powered smart assistant features. Collaborate with backend and ML engineers to design UX patterns for AI interactions and optimize app performance and reliability.
Design and ship reliable, scalable ML subsystems for a proactive AI smart assistant. Own the end-to-end lifecycle including data preparation, training, evaluation, and production monitoring.
Build the product layer for a proactive AI assistant, focusing on production-grade agent workflows and reliable multi-step reasoning. Design real-time AI interactions and implement robust fallback mechanisms to ensure system reliability and observability.
Build and improve core ML components across data, training, evaluation, and inference for a proactive AI smart assistant. Focus on shipping production-quality code, debugging model issues, and maintaining robust data pipelines under real-world constraints.
Own the iOS client experience by building a production-grade application where AI interactions are central to the product. Collaborate with backend and ML engineers to design UX patterns for AI and maintain high App Store quality and stability.
Build the product layer for a proactive AI assistant, focusing on reliable agent workflows and multi-step reasoning. Design and deploy end-to-end features across the frontend, backend, and AI integrations to ensure consistent task completion.
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Act as a trusted technical partner for Enterprise customers to accelerate the adoption of Rasa solutions through project deliverables. Collaborate with customers to optimize AI assistants and communicate insights to product teams to shape development.
Set the technical direction for agentic financial audit experiences and design AI-driven workflows from the ground up. Lead complex engineering workstreams and mentor other engineers through code reviews and pairing.
Own the end-to-end product roadmap and execution, from prioritization and scoping to full-stack implementation. Architect and optimize scalable services and interfaces for modern lending workflows using AI-native development workflows.
Design and implement end-to-end full-stack features for an AI-native Loan Origination System, including APIs, dashboards, and automation engines. Build and deploy AI-powered agents and workflows to automate the loan lifecycle and integrate with financial service providers.
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