Parallel Partners

• develop new trading strategies utilizing proprietary software • customize current trading strategies • participate in a wide variety of marketplaces including global futures, equities, commodities, options, fixed income, and cryptocurrencies • collaborate in a teamwork-focused environment emphasizing continuous integration and test-driven development

• Build and operate backend systems that serve AI-powered insurance workflows in production. • Design and implement AI orchestration layers that connect models, APIs, workflows, and business logic. • Build inference pipelines for LLM-based and AI-assisted automation systems. • Optimize latency, throughput, and cost across AI services (caching, batching, streaming, routing). • Design stable service boundaries between backend systems, ML components, and product APIs. • Implement observability: logging, metrics, tracing, alerting, and incident response workflows. • Debug production issues across distributed AI systems and resolve root causes. • Collaborate closely with frontend, product, operations, and ML teams to ship end-to-end features. • Continuously improve system reliability, scalability, and performance.

• Build and maintain production-grade Android applications using Kotlin. • Design and implement intuitive, responsive mobile interfaces for insurance, payments, and customer workflows. • Integrate backend APIs for quotations, policy management, claims, and transactional services. • Contribute to mobile features that incorporate AI-assisted capabilities (e.g., chat experiences, recommendations, automation flows). • Optimize application performance, responsiveness, battery usage, and memory efficiency across devices. • Implement analytics, crash reporting, and user behavior tracking to improve product quality. • Collaborate closely with backend, product, design, and AI/ML teams throughout the development lifecycle. • Ensure stability, scalability, and security across production mobile systems. • Continuously improving engineering standards, architecture, and mobile best practices. • Deliver stable, high-performance Android experiences used at scale. • Improve app reliability, responsiveness, and efficiency across devices. • Reduce crashes and production incidents through better engineering practices. • Ship mobile features confidently with strong system design and testing discipline. • Enable AI-assisted product capabilities through mobile integration where applicable. • Contribute to a scalable and maintainable mobile architecture.

• Build AI-powered product features integrated into real insurance workflows. • Design and optimize LLM-based interactions across customer and internal systems. • Develop prompts, reasoning flows, and structured AI outputs for production use cases. • Evaluate model performance using real-world data, feedback loops, and experiments. • Improve reliability of AI outputs through guardrails, fallback logic, and validation layers. • Work closely with backend engineers to integrate AI capabilities into APIs and workflows. • Design and implement AI-driven automation features (chat, recommendations, decision support). • Analyze user behavior and model responses to continuously improve AI performance. • Collaborate with product, design, and engineering teams to ship end-to-end AI features. • Contribute to AI system design decisions focused on usability and real-world impact.

• Build and ship iOS features using Swift. • Create clean mobile flows for insurance, payments, claims, renewals and financial services. • Work with product and design to simplify complex user journeys. • Integrate backend APIs and ensure mobile flows are stable and reliable. • Improve performance, crash rate, loading states, responsiveness, memory usage and battery efficiency. • Use analytics, user behavior and production issues to improve the product.

• Lead the design and development of production AI systems powering insurance workflow automation. • Architect AI orchestration layers connecting LLMs, backend services, and business workflows. • Own end-to-end AI system design, including inference pipelines, routing, caching, and fallback strategies. • Drive engineering decisions around latency, reliability, cost, and scalability of AI services. • Lead implementation of Observability Systems (logging, monitoring, tracing, alerting). • Review and guide backend AI implementation across engineering teams. • Collaborate with product, backend, DevOps, and operations teams to ship end-to-end AI features. • Debug complex production issues across distributed AI systems and lead root-cause analysis. • Define engineering standards and best practices for AI system development. • Mentor engineers and elevate technical execution quality across teams.

• Own social media strategy and execution for multiple client accounts. • Plan and manage content calendars across all major platforms. • Oversee content production (internal or outsourced) and ensure quality/control. • Write or refine messaging to align with each client’s positioning. • Monitor engagement and maintain professional standards across accounts. • Track performance and continuously optimize based on data. • Manage paid social campaigns on Meta, TikTok, and LinkedIn end-to-end. • Handle campaign setup, targeting, budgeting, and scaling. • Lead creative testing (hooks, formats, messaging) to improve conversion. • Analyze performance data and make optimization decisions. • Report on results and identify clear opportunities for improvement.

• Own social media strategy and execution for multiple client accounts. • Plan and manage content calendars across all major platforms. • Oversee content production (internal or outsourced) and ensure quality/control. • Write or refine messaging to align with each client’s positioning. • Monitor engagement and maintain professional standards across accounts. • Track performance and continuously optimize based on data. • Manage paid social campaigns on Meta, TikTok, and LinkedIn end-to-end. • Handle campaign setup, targeting, budgeting, and scaling. • Lead creative testing (hooks, formats, messaging) to improve conversion. • Analyze performance data and make optimization decisions. • Report on results and identify clear opportunities for improvement.

• Multi-Client Brand Management - Manage and refine the voice, tone, and visual identity for multiple law firm clients while maintaining clear brand differentiation. • AI-Assisted Content Production - Use modern Artificial Intelligence (AI) tools to produce social media content, informational assets, and marketing materials that support client growth. • Social Media & Content Strategy - Plan and execute social media content across platforms including LinkedIn, Instagram, TikTok, Facebook, and YouTube. • Advertising Creative - Develop and iterate creative assets for Meta, Google, and TikTok advertising campaigns, helping drive qualified leads for law firms. • Video & Multimedia Content - Assist in producing informational videos and short-form content that help attorneys communicate expertise and build trust with potential clients. • Quality Control - Review and refine AI-generated content to ensure professional tone, accuracy, and high production standards appropriate for the legal industry.

• Oversee the operation and maintenance of the trading systems, guaranteeing continuity and stability in the production trading environment. • Develop automation tools to streamline operational processes, reducing overhead and enhancing efficiency. • Triage, prioritize and troubleshoot complex network and systems issues, ranging from low-level hardware to in-house software applications. • Work with development to improve the operational stability and functionality of existing and new trading systems. • Coordinate, plan, and execute firm-wide changes within a global change management framework. • Understand and account for the needs of all stakeholders. • On call coverage in a team rotation. • Support other key initiatives as the business dictates.