Develop and maintain a production Android application focused on AI-native interactions and smart assistant workflows. Optimize app performance, reliability, and UX patterns for streaming AI responses and real-world task completion.
Remote Software Development Jobs in Trinidad and Tobago (73)
Remote in = Trinidad and Tobago
Job category = Software Development
The role involves building and shipping end-to-end AI features, transforming raw model outputs into reliable product behaviors. You will design agent workflows, optimize for latency and cost, and develop evaluation frameworks to measure real-world performance.
Build the product layer for AI-native workflows, focusing on agent design, tool integration, and system reliability. Develop end-to-end features across the frontend and backend to create proactive, goal-driven AI assistants.
Develop and maintain a production-grade iOS application focused on AI-native interactions and smart assistant workflows. Collaborate with backend and ML engineers to optimize performance, reliability, and user experience for AI features.
Build and improve core ML components across data, training, evaluation, and inference for a proactive smart assistant. Focus on shipping production-quality code to ensure high reliability, low latency, and effective task completion for users.
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Design and ship reliable, scalable ML subsystems for a proactive AI assistant focusing on long-horizon workflows. Own the end-to-end lifecycle including data preparation, training, evaluation, and production monitoring.
Own and deliver end-to-end data science and BI projects to transform complex data into actionable business insights. Build and deploy scalable machine learning solutions and predictive models to improve operational efficiency and business growth.
Build AI-native systems and agents to automate financial workflows for a Neobank app. Design and implement reliable, scalable AI tools for onboarding, KYC, risk review, and operations while managing latency and accuracy.
Build and maintain core backend services, APIs, and workflows for an AI Neobank app covering insurance, payments, and savings. Design reliable systems for transactions, partner integrations, and regulated financial product infrastructure.
Build and maintain core backend services and APIs for an AI Neobank app, covering payments, accounts, and KYC flows. Design scalable, reliable financial infrastructure while collaborating with cross-functional teams to launch features quickly.
Build AI-native systems, agents, and automated workflows to optimize financial services and internal operations for a Neobank app. Design and productionize scalable integrations between LLMs, internal data, and business systems while ensuring reliability and safety.
Build and ship full product features across the frontend, backend, APIs, and databases for an AI Neobank app. Create internal tools and customer workflows for onboarding, payments, and risk management while owning the product lifecycle from release to monitoring.
Build end-to-end customer-facing and internal product features for an AI Neobank app. Develop web flows, backend APIs, and operational tools while collaborating with product and design teams to launch quickly.
Build and ship native Android features for an AI Neobank app, focusing on onboarding, payments, and AI-assisted journeys. Ensure app quality by managing performance, crash rates, and stability while collaborating with cross-functional teams.
Build and ship clean, intuitive mobile features for an AI Neobank app across Android and iOS. Collaborate with cross-functional teams to develop onboarding, payments, and AI-assisted financial journeys.
Build and ship native Android features for an AI Neobank app using Kotlin and Jetpack Compose. Collaborate with product and design teams to optimize user journeys and improve app performance and reliability.
Build and ship native Android features for an AI Neobank app using Kotlin and Jetpack Compose. Focus on creating clean user flows for financial services while optimizing app performance and reliability.
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Build and ship native iOS features for an AI Neobank app, focusing on onboarding, payments, and AI-assisted user journeys. Ensure high app quality by managing performance, crash rates, and stability based on production feedback.
Develop AI-powered backend services and workflows using Clojure to generate outfit recommendations and styled bundles at scale. Design and implement PostgreSQL schemas, RAG pipelines, and ClojureScript UIs for human-in-the-loop AI review processes.
Design, build, and optimize scalable backend services and RESTful APIs using Python and Django REST Framework. Develop microservices that integrate with third-party platforms and ensure compliance with healthcare data privacy standards.
Own the end-to-end bug lifecycle and design scalable automated testing frameworks for a Remote Patient Monitoring platform. Collaborate with engineering and product teams to identify risks and ensure software quality before production.
Own and improve application security across the SDLC and harden AWS and Kubernetes/EKS environments. Build security guardrails as code and manage technical controls for HIPAA and SOC 2 compliance.
Lead the technical sales cycle for higher education institutions by developing tailored Salesforce solutions and demonstrations. Collaborate with account teams to map institutional challenges to AI and data-driven technology strategies.
Design and deliver automation and integration solutions across hybrid infrastructure environments to improve IT operations visibility and reporting. Mentor junior engineers and collaborate with cross-functional teams to translate operational requirements into durable software solutions.
Design and deliver automation and integration solutions across hybrid infrastructure environments to improve IT operations visibility and reporting. Mentor junior engineers and collaborate with cross-functional teams to translate operational requirements into durable software solutions.
Senior Analytics Engineer (AI & Quality) 12 APPLICANTS
Bored Panda
·
Full Time
·
6 Weeks Ago
Bored Panda
The role focuses on ensuring data integrity and quality across the organization by reviewing analytics and building automated guardrails. The engineer will also handle complex high-stakes analyses and mentor non-technical teams on AI analytics tools.
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The AI Data Architect will design scalable data architectures and platforms aligned with business objectives. They will also lead the implementation of data governance, security, and quality best practices.
Operate and enhance application security tool environments, specifically focusing on executing and validating DAST scans. Partner with development teams to remediate vulnerabilities and ensure compliance with healthcare security standards.
Lead the end-to-end engineering of complex outside plant programs, including conceptual routing, permitting, and construction closeout. Manage technical direction for fiber and copper builds while ensuring compliance with NESC and client standards.
Lead end-to-end implementations of financial consolidation systems and mentor the professional development of the CPM team. Translate complex business needs into technical designs and contribute to the creation of commercial proposals for clients.
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