About Tiger Analytics

Tiger Analytics is a global leader in AI and analytics, helping Fortune 1000 companies solve their toughest challenges. We offer full-stack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow.

Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. We are a Great Place to Work-Certified™ company, recognized by analyst firms such as Forrester, Gartner, HFS, Everest, ISG, and others.

Job Description

We are looking for a highly skilled Full Stack Gen AI Engineer with 7+ years of experience in software engineering, with a heavy focus on Python, AWS infrastructure, and Generative AI. The ideal candidate will be responsible for building high-performance API services and implementing complex RAG and Agentic AI architectures.

Key Requirements:

Applied AI Engineer

Location: Austin, TX (Hybrid - 3 days in-office)

Compensation: $200k - $250k base + Equity

Start Date: Q1 2026

We are hiring on behalf of our client who is looking for an exceptional Applied AI Engineer to join their team in Austin. They are a well-funded ($40M) startup backed by top-tier investors like Paradigm and Electric Capital. They are currently rebuilding the infrastructure of the global financial system—bringing it fully on-chain to make it faster and safer. Your mission is to level up their entire organization’s impact by embedding AI deeply into how they engineer and operate. You will stay at the absolute frontier of AI development, ensuring their team evolves from "using AI" to "effectively managing a team of AI agents" with consistent quality and guardrails.

What You Will Do:

Senior AI Data Engineer (Agentic Systems)

Location: USA / Europe / Israel - with a 5hour overlap with EST hours

Compensation: $130K - $150K

We build the technology that powers safer, more accessible financial markets. Our risk management systems, oracles, and AI models currently secure over $200 billion in assets across the world's largest decentralized protocols, having processed more than $5 trillion in transaction volume. We recently launched a pioneering Financial Intelligence Platform that transforms complex market data into actionable insights, bringing institutional-grade intelligence to every participant in the ecosystem.

The Role: We are looking for a Senior AI Data Engineer to design and build the agentic systems powering our intelligence platform. You will work at the intersection of LLMs, financial data, and production infrastructure, creating intelligent agents that reason, plan, and execute across complex financial workflows.

Responsibilities:

Full-Stack Engineer, AI Financial Agent

Location: Remote - NYC preference - will accept Remote USA to work EST hours - Will accept LATAM region to work EST hours and also Tel Aviv.

compensation: $160K - $200K

We are a technology company that provides the first automated, on-chain economic security system for crypto protocols, helping them optimize risk management and capital efficiency while safeguarding user funds. Our platform secures billions of dollars in assets for leading protocols by analysing protocol mechanics and scenario implications using world-class custom EVM simulations. We are seeking a proactive and results-driven Full-Stack Engineer to join our AI team and develop our cutting-edge financial AI agent.

As a Full-Stack Engineer reporting directly to the Head of Product & AI, you will play a critical role in working closely with the CEO and the AI team to design and build the full-stack systems that power our financial AI agent.

Responsibilities:

Staff ML Engineer (Semantic Search & RAG Architecture)

Location: New York, NY

Employment Type: Full-time

Work Arrangement: Hybrid (3 days per week in-office)

About the Role

Our client, is the startup discovery engine used by the world's largest venture capital firms to find and invest in promising founders. They map the startup landscape to ensure hundreds of billions of dollars are routed efficiently. They have raised $30 million in funding.

They are seeking a Staff ML Engineer to lead the development of their core AI features. This is a high-impact role where improvements in ML outcomes directly enable customers to find better investment opportunities, driving innovation globally.

Scope of the Role

At Quento, the ICT arm of the Qualco Group, we deliver comprehensive and innovative solutions across AI, Digital Engineering, Cloud, and Cybersecurity, helping businesses accelerate digital transformation. With a presence in Greece, Luxembourg, and Belgium, and backed by the expertise of the Qualco Group, we combine deep technical knowledge with strategic partnerships to support business growth.

Quento Technologies seeks a highly motivated and experienced AI/GenAI - ML Engineer for build and maintain scalable and efficient machine learning pipelines. At Quento, we empower our people to innovate and lead in delivering transformative ICT solutions to our clients worldwide. Our high-performing, dynamic, and collaborative environment fosters professional growth at every stage.

Your responsibilities will entail:

Our client, a leading organization in Saudi Arabia, is establishing a high-impact Results-Delivery Office (RDO) to enhance strategic initiative monitoring and delivery. We're seeking an experienced PMO expert to design and implement a world-class governance framework tailored to regional requirements.

Role Purpose

Provide end-to-end expertise across diagnostics, operating model design, and governance architecture to ensure the new RDO can effectively monitor, steer, and escalate strategic initiatives while embedding best-practice PMO standards.

Key Objectives

1. Current-State Assessment: Deliver evidence-based diagnostic of existing strategy-delivery capabilities, benchmarked against leading organizational PMOs
2. Target Operating Model & Governance: Design future-state RDO structure, processes, decision rights, and templates that integrate seamlessly with existing organizational layers
3. Implementation Roadmap: Translate design into phased, resource-loaded plan with milestones, KPIs, and risk mitigations

Requirements

At Quento, the ICT arm of the Qualco Group, we deliver comprehensive and innovative solutions across AI, Digital Engineering, Cloud, and Cybersecurity, helping businesses accelerate digital transformation. With a presence in Greece, Luxembourg, and Belgium, and backed by the expertise of the Qualco Group, we combine deep technical knowledge with strategic partnerships to support business growth.

Quento Technologies seeks a highly motivated and experienced AI/GenAI - ML Engineer for build and maintain scalable and efficient machine learning pipelines. At Quento, we empower our people to innovate and lead in delivering transformative ICT solutions to our clients worldwide. Our high-performing, dynamic, and collaborative environment fosters professional growth at every stage.

Your responsibilities will entail:

With more than 20 years of proven experience, QUALCO Group is a leading Fintech solutions provider, offering a wide range of analytics-driven, highly scalable enterprise software solutions in over 35 countries worldwide. Our end-to-end technology solutions cover a wide range of needs for Banking, Financial Services, Utilities, Insurance, Retail organizations, and beyond.

We are looking for a Data Architect for the development of architectural artefacts and the provision of expert guidance, with an emphasis on supporting the team in responding to shifting priorities and delivering value across priority initiatives.

Responsibilities:

About Us

At Zyte, we eat data for breakfast and you can eat your breakfast anywhere and work for Zyte. Founded in 2010, we are a globally distributed team of over 250 Zytans working from over 28 countries who are on a mission to enable our customers to extract the data they need to continue to innovate and grow their businesses. We believe that all businesses deserve a smooth pathway to data

For more than a decade, Zyte has led the way in building powerful, easy-to-use tools to collect, format, and deliver web data, quickly, dependably, and at scale. And today, the data we extract helps thousands of organizations make smarter business decisions, secure competitive advantage, and drive sustainable growth. Today, over 3,000 companies and 1 million developers rely on our tools and services to get the data they need from the web.

Data QA is an important function within Zyte. The Data QA team works to ensure that the quality and usability of the data scraped by our web scrapers meets and exceeds the expectations of our enterprise clients. 

Are you passionate about data and data quality and integrity?

Do you enjoy using Python and AI to analyze and manipulate data, detect data quality issues, and visualize your findings?

Are you highly customer-focused with excellent attention to detail?