Location: San Francisco, CA (Union Square)

Employment Type: Full-time

On-site: 5 days a week in-office

About the Role

Our client, an AI company recently acquired by a major industry leader, builds a GenAI-native platform that automates tax document processing, serving top accounting firms and private wealth offices. Their technology achieves high accuracy by turning tens of thousands of pages of complex tax documents into structured data in minutes.

They are seeking an exceptional Member of Technical Staff (Backend) with a desire for outsized responsibility and impact. This engineer will be crucial in building the core systems that deploy their machine learning capabilities and driving architectural choices for their core services.

What You'll Be Doing

Fullstack Engineer (Python, React)

Location: San Francisco, CA

Employment Type: Full-time

On-site: 9-9-6 in-office schedule

About the Role

Our client is an intensely ambitious, hyper-growth AI startup that is completely rebuilding the foundation of the world’s largest industry: Insurance Claims Processing. They achieved six-figure ARR in just three months and raised a highly oversubscribed $3.8 million seed round from top-tier investors. Their team comes from elite global AI labs (Oxford, Cambridge, ETH Zurich).

They are seeking a Fullstack Engineer with a strong backend focus and clear signals of technical excellence. This role is defined by total ownership—you will be expected to ship features end-to-end and solve every problem, from core infrastructure design to direct client integrations for AI use cases.

What You'll Do

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

We are seeking a Data Scientist having good experience in building Models and advanced analytics solutions. The role involves leading client discussions, designing models around SEO and Paid Searches, and guiding cross-functional teams in delivering end-to-end data science projects.

Key Responsibilities:

Location: New York, NY (Flatiron District)

Employment Type: Full-time

On-site: 5 days/week in-person (Non-negotiable)

About the Role

Our client is a high-growth, venture-backed defense tech company working at the cutting edge of signal processing, machine learning, and embedded systems. As a Machine Learning Infra Engineer, you will design and build core infrastructure from scratch to handle petabytes of radio spectrum data. This is a high-ownership role for an experienced engineer who has strong opinions on tooling best practices and can make informed, future-proof decisions about architecture.

This team operates with a high bar for talent, a culture of high growth and high ownership, and requires an in-person presence to foster collaboration.

What You'll Do

Location: Los Angeles, CA (Santa Monica)

Employment Type: Full-time

On-site: 5 days/week in-person

About the Role

Our client is building fully autonomous AI agents that can find, exploit, and patch complex vulnerabilities in web applications at massive scale, moving at the speed of AI-generated code. As a Founding Full-Stack Software Engineer (with a strong focus on backend and AI), you will be crucial in designing and developing their core agent systems and scalable web applications. You will be joining an early-stage startup with a deep technical focus on the intersection of Cybersecurity and AI.

Key Responsibilities

• Design and develop modular, reusable, and maintainable features primarily using Python.
• Design and create RESTful APIs in Python specifically to power AI Agents.
• Build Agentic AI systems and custom tools/protocols for cybersecurity applications.
• Design efficient PostgreSQL database systems and optimize backend services for performance and scalability.
• Build and maintain backend systems using technologies like Docker and Kubernetes, and diagnose/optimize code bottlenecks.

Requirements

Location: Palo Alto, CA

Employment Type: Full-time

On-site: 5 days/week in-office

About the Role

Our client, an AI company focused on dramatically accelerating semiconductor design, is seeking a world-class ML leader to architect and own their entire AI roadmap. They are solving the critical problem of exponentially increasing chip design costs by providing an integrated AI agent and code editor workflow to make silicon engineers 4x more productive. This is a foundational role where you will define the technical trajectory across the platform, including code generation, reinforcement learning, and layout optimization.

This position requires a deep, hands-on expert who can lead a growing ML team while actively contributing to the technical work.

Responsibilities

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, have recognized our business value and leadership. We are seeking someone with a good blend of business consulting skills and a data analytics background. If you are passionate about working on unstructured business problems that can be solved using data, we would like to talk to you.

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 over 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.

About the role:

You would be involved in developing our recently released SaaS offering - Zyte API, which provides a single ML-powered API to power all web data extraction use cases.. Zyte API  is a distributed application written in Java, C++, Python and Nodejs components communicating via HTTP, web sockets and Apache Kafka, and orchestrated using Kubernetes.

Roles & Responsibilities:

GoMining is seeking a talented DevOps/SRE Engineer to join our team, ensuring the reliability, scalability, and security of our advanced crypto and fintech products.

This role is ideal for professionals passionate about building robust infrastructure, streamlining CI/CD processes, and maintaining high-availability systems in fast-paced, technology-driven environments. You will play a pivotal role in optimizing system performance, automating operations, and enhancing the resilience of our services.

We are looking for someone who brings technical expertise, problem-solving skills, and innovation to the table.

Responsibilities:

Infrastructure Development & Maintenance

• Design, deploy, and maintain Kubernetes clusters, virtual machines, and local infrastructure.
• Develop and enhance platform architectures with a focus on scalability, reliability, and security.
• Apply DevOps principles across product teams to improve the Software Development Life Cycle (SDLC).

Application Support & Collaboration

• Develop and support business-critical applications.
• Collaborate with developers to streamline features and resolve operational issues.
• Ensure reliable application operations using modern SRE practices (SLI, SLO, Error Budgets).

Automation & CI/CD

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 1000 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning and AI. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner.

The Business Analyst will support due diligence, portfolio monitoring, and investment analysis by ensuring the integrity and accuracy of land, mineral, and royalty data. This role bridges technical data management and business decision-making — combining analytical skills with cross-functional collaboration across geoscience, legal, finance, and engineering teams.

Key Responsibilities