Jobs at SCRYAI FZCO

Generates qualified business leads for IT and software solutions across the US and UK. Responsibilities include prospect research, cold outreach through phone, email, and social media, collaboration with regional sales managers, corporate presentations, database maintenance, and achievement of sales targets. The role requires familiarity with lead-generation tools, strong communication skills, and experience serving banking, insurance, and mortgage industries.

Execute backlink acquisition and technical SEO strategies to improve domain authority, rankings, and organic traffic for B2B AI, fintech, and SaaS content. Responsibilities include link-building outreach, digital PR, SEO audits, on-page optimization, keyword research, content optimization, competitor analysis, Core Web Vitals improvements, and performance reporting using major SEO analytics tools.

Develop and maintain scalable Python backend applications using FastAPI, Django, APIs, microservices, databases, asynchronous processing, and event-driven architectures. Design efficient solutions, optimize performance, write automated tests, implement secure and maintainable code, and contribute to CI/CD deployments. Collaborate with product and engineering teams, participate in requirements gathering, analyze risks, estimate work, improve coding standards, and guide team members.

Develop and deploy production-grade Generative AI solutions using LLMs, RAG, LangChain, Kedro, and Docker. Build reproducible data pipelines, take prototypes into scalable real-world applications, collaborate with cross-functional teams, evaluate emerging AI technologies, and mentor junior team members. The role also involves applying software and data engineering best practices, supporting cloud and on-premises deployments, and contributing to reliable MLOps workflows.

Analyze, extract, cleanse, and model financial data from global company statements and other sources. Interpret financial statement notes, prepare spreadsheets, calculate client-specific ratios, ensure data quality, support financial analysts, and collaborate with engineering teams on data governance strategies. The role requires financial industry knowledge, strong communication, structured thinking, and Microsoft Excel proficiency.

Owns Scry AI’s LinkedIn presence and broader marketing initiatives, including social content, email campaigns, PR, events, branding, and sponsored promotion. Drives course and certification enrollment through college partnerships, campus campaigns, ambassadors, and institutional tie-ups. Tracks campaign and enrollment performance, manages conversion funnels, develops audience-specific collateral, and collaborates with content, design, product, and academy teams.

Develop high-performance, scalable distributed applications using Core Java. Responsibilities include designing N-tier web applications and microservices, working with SQL and NoSQL databases, implementing RESTful services, optimizing performance, applying testing and caching strategies, and contributing within Agile and continuous deployment environments.

Own the MQL-to-SQL conversion funnel by nurturing inbound leads through personalized email and LinkedIn workflows. Manage CRM records, write and optimize outreach sequences, track engagement and conversion metrics, coordinate lead handoffs with sales, support qualification and prospecting, and report on campaign effectiveness. The role requires close collaboration across marketing and sales to improve lead quality, conversion rates, and pipeline growth.

Research industry topics and create, edit, and optimize blogs, case studies, articles, product descriptions, landing pages, and other marketing content. Develop compelling copy, support social media engagement, collaborate with marketing and design teams, identify content gaps, conduct audience-focused research, and manage an editorial calendar. The role requires strong writing, SEO content expertise, CMS knowledge, and the ability to manage multiple projects.

Designs intuitive web and application interfaces, brand graphics, social media creatives, marketing collateral, and corporate presentations. Collaborates with creative, marketing, and product teams to deliver cohesive solutions and maintain brand consistency. Requires strong UI/UX, graphic design, presentation design, responsive design, visual storytelling, and user-centered design skills, supported by a portfolio and proficiency in Adobe Creative Suite, Figma, or similar tools.

Lead and mentor a development team while overseeing Python application and API development. Design scalable services using Flask, FastAPI, or Django; implement Docker-based workflows; conduct code reviews; and resolve complex technical issues. Apply data science, classical machine learning, and LLM techniques to deliver solutions. Collaborate cross-functionally to prioritize work and ensure timely delivery while improving engineering practices and team productivity.

Manage and maintain networks, servers, hardware, software, cloud systems, and user accounts. Provide escalated technical support, troubleshoot complex issues, implement security controls, conduct audits, maintain compliance with ISO 27001 and SOC 2, manage data recovery procedures, and coordinate IT vendors. The role also involves enforcing access policies, improving infrastructure performance, and supervising IT operations.

Lead consultative B2B enterprise sales and partnership development for AI-driven SaaS solutions. Build relationships with C-level stakeholders, manage complex sales cycles and pipelines, generate and nurture leads, negotiate pricing and contracts, and communicate AI product value through ROI-focused storytelling. Collaborate with product, engineering, customer success, and marketing teams while providing customer insights and adapting sales strategies to market needs.

Develop enterprise-grade web applications and data visualizations for a big data analytics platform. Lead front-end development, build prototypes and proof-of-concept applications, establish JavaScript and GUI best practices, and provide technical implementation expertise. Collaborate with internal teams and clients in an Agile/Scrum environment while maintaining expertise in emerging frameworks, web standards, DevOps tools, and cloud technologies.

Develop and deploy deep learning computer vision systems for real-time video analytics. Responsibilities include training and optimizing detection, classification, tracking, and video models; building end-to-end pipelines; deploying models to edge devices; integrating vision outputs with LLMs; monitoring production performance; and collaborating with backend and DevOps teams on containerized, low-latency deployments.