Our client is a high-growth fintech and Web3 technology company currently serving over two million users. Backed by top-tier venture capital firms, the organization has raised substantial Series B funding to scale its platform, expand product offerings, and maintain high engineering standards while accelerating development velocity.

The company is seeking an experienced, autonomous Staff Frontend Engineer to take ownership of its core mobile and web application surfaces. In this role, the engineer will drive critical frontend initiatives—including the rollout of new order types, support for additional asset classes (such as perpetuals and prediction markets), and the expansion of key social features.

The ideal candidate possesses deep mastery of React, operates effectively with a high degree of autonomy, and thrives in a fast-paced, in-person environment. While focused on frontend architecture, engineers are empowered to contribute across the stack whenever beneficial.

Requirements

Software Engineer (Generalist)

Location: New York City (Hybrid / Onsite options)

Type: Full-time

Level: Mid to Senior

About the Role

We are looking for a Software Engineer (Generalist) as a generalist, you won't be boxed into a single layer of the stack—you'll own features end-to-end, tackle high-impact bottlenecks across the codebase, and help shape technical architecture as we scale.

If you love shipping product fast, diving into unfamiliar technologies to solve tough problems, and balancing speed with high-quality engineering, you’ll fit right in.

Requirements

Software Engineer (Generalist)

Location: San Francisco, CA (Hybrid / Onsite options)

Type: Full-time

Level: Mid to Senior

About the Role

We are looking for a Software Engineer (Generalist) as a generalist, you won't be boxed into a single layer of the stack—you'll own features end-to-end, tackle high-impact bottlenecks across the codebase, and help shape technical architecture as we scale.

If you love shipping product fast, diving into unfamiliar technologies to solve tough problems, and balancing speed with high-quality engineering, you’ll fit right in.

Requirements

This is not a research seat where models get handed off to someone else's pipeline — you design the strategy, write the code, deploy it, and own it in production. If you want your models allocating real capital onchain within weeks of joining, read on.

Depending on your background and interests, you'll join one of our vault strategy teams. Our strategies span lending and credit curation, cross-chain yield aggregation, structured products, RWAs, and more. Teams own the full strategy lifecycle: research and protocol due diligence, strategy design and backtesting, allocation and rebalancing engines, onchain execution and optimization, and 24/7 monitoring of live positions. You own strategies end-to-end and are accountable for their performance, safety, and uptime.

What you'll do;

- Design and ship vault strategies: take a strategy from thesis and design doc through implementation, simulation, deployment, and live operation — RWAs, leveraged lending, yield aggregation, cross-protocol allocation, perpetuals, prediction markets, and new product types we haven't built yet.

- Optimize strategies: signals research, execution optimization, gas-aware rebalancing across tokens and chains, liquidity and duration management.

Our client is building innovative Revolving Credit as a Service infrastructure, designed to give businesses immediate, scalable access to working capital without requiring pre-funding or bank-sponsorship reserves. Operating at the intersection of fintech, credit, and crypto, the client is looking for a senior engineering professional who can help translate ambitious goals into secure, reliable, and highly scalable production systems.

In this high-impact role, the Founding Engineer will take meaningful ownership of the technical direction and product delivery. Working hands-on across a TypeScript and JavaScript stack, the successful candidate will make foundational architecture decisions, establish engineering best practices, and ship production systems alongside the company's founders.

Requirements

We're looking for a Senior AI Developer to design, build and run production-grade agentic AI systems on AWS and Azure. You'll turn business problems into reliable multi-step agent workflows that use LLMs, tools and enterprise data. You'll own solutions from architecture and prototyping through deployment, evaluation and monitoring, and you'll set engineering standards for how we build with AI.

We are looking for an experienced Senior .NET Developer to design, develop, and maintain scalable, high-performance software applications. The ideal candidate will have strong expertise in .NET technologies, backend development, software architecture, and database management, with the ability to deliver high-quality, reliable solutions.

Key Responsibilities

• Design, develop, test, and maintain scalable applications using .NET and C#.
• Build and maintain RESTful APIs and backend services.
• Design and optimize database queries, stored procedures, and data models.
• Apply software engineering best practices, including clean code, design patterns, and SOLID principles.
• Troubleshoot, debug, and resolve complex technical issues.
• Collaborate with cross-functional teams, including frontend developers, QA engineers, and product managers.
• Participate in code reviews and contribute to technical decisions and architectural improvements.
• Ensure application performance, security, scalability, and reliability.
• Write and maintain technical documentation.

Requirements

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Role Overview

The AI Engineer drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across Azure as cloud. You will bridge the gap between AI research and production-grade cloud infrastructure.

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

Requirements

Role and engagement model:

Act as the architecture lead for defined initiatives within the client's Power Platform landscape. Translate business capabilities and non-functional requirements into pragmatic end-to-end solution architectures. Provide architecture direction and

Key Responsibilities:

• Design end-to-end architectures covering Power Apps, Power Automate, Data verse, Power Pages, Azure services and external integrations.
• Define solution boundaries, data models, integration patterns, security concepts and environment strategies.
• Guide decisions between configuration, low-code and custom development, including React, PCF and Azure components where appropriate.
• Ensure alignment with enterprise architecture, identity, data protection, ALM and operational support requirements.
• Lead architecture reviews, document decisions and manage technical risks, dependencies and exceptions.
• Support estimation, backlog refinement and delivery planning with product owners and engineering teams.
• Coach developers and review solution designs, code approaches and deployment concepts.
• Provide technical leadership during critical releases, production stabilization and root-cause analysis.
  

Requirements

About the Role

Zyte is looking for a Quality Engineer to join our unified Quality Engineering function. This is an automation-first, AI-native role embedded directly within our engineering squads.

You will be responsible for designing risk-based test strategies, rapidly converting them into automated checks using AI-assisted development workflows, and continuously improving the quality, speed, and reliability of software delivery. Quality at Zyte is not a gatekeeping function. It is an engineering discipline focused on preventing defects, accelerating delivery, and increasing confidence in every release.

AI coding agents are a core part of how we work. You will be expected to use Claude Code or equivalent AI-assisted development environments as your primary development partner for generating, reviewing, debugging, refactoring, and maintaining automation code.