Top Tech Jobs & Startup Jobs

Leads the design, development, and optimization of enterprise Retrieval-Augmented Generation platforms. Responsibilities include building retrieval architectures, ingestion and indexing frameworks, vector search, semantic retrieval, LLM integrations, scalable APIs, evaluation frameworks, governance controls, monitoring, troubleshooting, and performance optimization. The role provides technical leadership, mentors engineers, evaluates emerging technologies, and supports enterprise AI strategy and deployments.

Performs accounting operations including accounts receivable, invoicing, journal entries, accounts payable transactions, month-end close, bank reconciliations, financial reporting support, and correction of accounting records. The role requires collaboration across business units, strong communication, attention to detail, organization, independent work, and compliance with generally accepted accounting principles.

Leads the sales organization by developing strategic plans, growing revenue and market share, managing geographically dispersed teams, cultivating enterprise client relationships, optimizing sales processes, monitoring KPIs, overseeing budgets, and representing the company with executive stakeholders and industry partners.

Oversee and optimize infrastructure supporting AI and machine learning platforms, including servers, cloud environments, compute resources, GPU and CPU allocation, security controls, monitoring, incident response, automation, and scalability. Collaborate with AI engineers, data scientists, and infrastructure teams; troubleshoot issues, perform root cause analysis, maintain documentation, evaluate emerging technologies, and mentor junior administrators.

Supports full-cycle recruitment through job postings, resume screening, phone screens, interview coordination, candidate communication, ATS maintenance, bilingual sourcing, job fairs, onboarding, and employment-law compliance. The role requires Spanish and English fluency, strong organization, professionalism, confidentiality, and attention to detail while delivering a positive candidate experience.

Design, implement, and optimize AI-powered workflow automation solutions. Analyze business processes, document current and future states, gather requirements, integrate automation tools, support testing and deployment, monitor performance, and identify improvements. Collaborate with business and technical stakeholders, provide training and troubleshooting support, promote automation best practices, and contribute to digital transformation and innovation initiatives.

Manage and optimize infrastructure supporting AI and machine learning systems, including GPU/CPU clusters, cloud environments, LLMs, data pipelines, and model deployments. Responsibilities include system monitoring, security, access management, automation, scripting, CI/CD support, troubleshooting, documentation, and performance optimization. The role collaborates with developers, data scientists, and prompt engineers to maintain reliable, scalable AI platforms.

Manages the full talent acquisition lifecycle, including candidate sourcing, phone screening, interview coordination, job fairs, hiring events, background checks, onboarding support, and personnel record maintenance. Tracks recruitment metrics, maintains HR and timekeeping data, supports compliance with employment laws, and contributes to process improvements. The role requires strong communication, organization, attention to detail, confidentiality, and proficiency with Microsoft Office and HR systems.

Identifies business opportunities for AI and automation, gathers and documents requirements, develops business cases, supports solution design and delivery, facilitates stakeholder collaboration, assists with testing and change management, and tracks project outcomes, reporting, and benefits realization.

Actively manage a diversified multi-asset portfolio across equities, fixed income, and options. Design, test, and implement quantitative and discretionary trading strategies; monitor market and macroeconomic conditions; conduct modeling, backtesting, and performance attribution; manage allocation, liquidity, exposure, execution quality, and risk. Prepare investment reports and collaborate with analysts, traders, and senior stakeholders to refine strategies.