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We are backed by top-tier global investors including Sequoia Capital, Ribbit Capital, and Cyberstarts-firms known for supporting the most innovative and influential companies in technology and cybersecurity
As a Backend Engineer, you will design, build, and scale the core backend systems that power our security platform-directly shaping the safety of millions of Web3 users. Youll work closely with a team of world-class engineers to deliver highly reliable, performant, and secure infrastructure.
Your Chain of Impact:
Lead feature development end-to-end, from requirements to production.
Build systems that protect millions of users from fraud, scams, and hacks.
Contribute across the full software development lifecycle in an agile environment.
Drive technical innovation by staying ahead of emerging technologies.
Uphold the highest standards of code quality, scalability, and performance.
Take true ownership of our product, tech stack, and development processes.

We are backed by top-tier global investors including Sequoia Capital, Ribbit Capital, and Cyberstarts-firms known for supporting the most innovative and influential companies in technology and cybersecurity.
As a Security Researcher at Blockaid, you will be responsible for leading in-depth research into emerging blockchain threats and vulnerabilities and developing real-time detection and mitigation capabilities in close collaboration with our engineering and product teams.
Key Responsibilities:
Conduct in-depth security research on blockchain protocols, smart contracts, and decentralized applications.
Identify and analyze security vulnerabilities, exploits, and attack vectors in Web3 protocols.
Collaborate with the engineering team to integrate detection capabilities into our on-chain exploit detection system.
Create proof-of-concept (PoC) exploits and simulations to help test and validate threat scenarios.
Stay current with emerging threats, new technologies, and industry best practices in information security..

Join our R&D team and take part in developing advanced LTE/5G cellular monitoring and spectrum-analysis technologies.
The role combines software development, protocol research, RF analysis, and real-world system integration in both lab and field environments.

Responsibilities include:
Development in C/C++, Python, and Bash.
Research and analysis of LTE/5G cellular protocols and RF behavior.
Building monitoring, detection, and automation tools.
Analyzing protocol data, logs, and software code.
Working with databases and query languages.
Collaborating with multidisciplinary R&D teams and participating in field activities.
Turning complex RF and protocol information into operational insights.

We're looking for a talented web developer experienced in both sides of the stack to join our team.
A proactive self-motivated person to spearhead the development process for our various products.

On a daily basis you will :
Design and implement technical solutions with an emphasis on quality and performance.
Write smart and precise automated unit tests to speed up the deployment process.
Maintain code troubleshoot and solve issues.

we are looking for a Senior Software Engineer - C/C++
Responsibilities
Design, develop, and maintain production-grade software using C++ and Python.
Build modular, well-architected components following object-oriented design principles.
Optimize code for real-time and low-latency operation.
Collaborate with cross-functional teams to deliver end-to-end solutions.
Write clean, maintainable, and well-tested code.

Join our company, an innovative startup building a fully-managed LLM-inference platform, that enables data heavy enterprises to perform any AI task at any scale without limits.
We're looking for an Experienced Performance Researcher to join our founding team. Youll be responsible for building and optimizing scalable cloud infrastructure solutions tailored for AI workloads. This role offers a unique opportunity to directly shape our infrastructure strategy, improve system reliability and performance, and contribute to establishing our company as a leader in adaptive AI compute management.
Join us to tackle the magic that make AI tick under the hood and build the backbone powering the AI revolution.
What Youll Do
- Design and build high-performance distributed inference pipelines for LLMs, focused on large-batch, non-real-time scenarios.
- Optimize GPU memory usage, kernel execution, and communication across nodes (NCCL, MPI, etc.).
- Own CUDA kernels, compiler-level tricks, and multi-GPU scheduling logic.
- Lead profiling and performance tuning for throughput, and cost- down to the kernel level.
- Collaborate with infra, product, and research teams to define SLAs, resource allocation logic, and runtime behaviors.
- Help build the core infrastructure that will run LLM workloads across hybrid GPU environments (cloud/on-prem/self-hosted).

We're hiring a Data Engineer to architect and own the systems that turn raw signal from merchants, customers, and experiments into something the whole company can build on.

Data is at the heart of everything we do - it powers our AI models, drives merchant-facing analytics, and informs how we make product decisions every day.

This is a high-ownership role for someone who wants to shape data architecture from the ground up- not inherit someone else's roadmap. You'll be the person who makes sure our data is fast, trustworthy, and easy for every team to use.

What You'll Do

Architect and build scalable data pipelines processing millions of events daily from merchant stores, product usage, experiments, and third-party integrations

Own our data warehouse strategy end-to-end- reliability, performance, and scalability as we grow

Define our event architecture and set the standards for how the company captures and models product and business data

Build data quality practices- monitoring, validation, testing, and alerting- that the rest of the team can trust

Partner directly with Product and Engineering to unlock the data behind our AI features, merchant analytics, and experimentation

Build self-service tooling so other teams can query and analyze data without depending on you as a bottleneck

Set the bar for data modeling, orchestration, and documentation across the org

We are hiring a hands-on AI expert to shape our intelligent platform, organizing complex real estate data into actionable insights and predictive models that power smarter investment decisions.

Responsibilities

AI/ML Architecture: Design and implement scalable AI systems using models such as
LLMs (e.g., OpenAI, Anthropic) and computer vision (e.g., YOLO, CLIP)
MCP Integration: Architect and orchestrate model context flows using MCP or similar
frameworks to deliver personalized, context-aware experiences
FinTech Platform Integration: Embed intelligent features into our backend and frontend
systems, ensuring seamless UX and robust performance
Hands-On Development: Write production-grade code across Python, TypeScript, and
Node.js. Own key modules and guide technical decisions
Team Leadership: Mentor a few developers, set engineering standards, and foster a
culture of experimentation and excellence
Data Strategy: Collaborate with product and data teams to define training datasets,
feedback loops, and model evaluation pipelines

we are looking for a Senior AI Software Engineer
Join our team to develop cutting-edge AI solutions for retail analytics.

we are looking for a
The Senior Backend Engineer team (Data Team) builds the systems that discover, understand, and govern customer data at petabyte scale. We turn raw enterprise data into the security signal the rest of the platform builds on, working on problems like distributed systems running inside customer clouds, analytics over large data lakes, and detection logic that has to be both precise and fast. Youll work end-to-end and ship features that every customer uses.
Responsibilities:
Designing and implementing core components within the classification and policy stack, including microservices, ETLs, and shared libraries
Owning features end-to-end: design, implementation, rollout, testing, monitoring, and production operation
Conducting design and code reviews with the team and across R&D
Driving scale, performance, and cost optimizations against multi-tenant data-lake workloads
Partnering with AI/ML, Research, Product, and Frontend to ship cross-functional initiatives

we are looking for a Senior Consulting Engineer.
As a core member of the Professional Services team, you will
Contribute to customer implementations at any or all phases of the application lifecycle: portfolio assessment, application planning and design, deployment architectures, development and build, integration and release configuration, system testing, production operations, application optimization, and best practices adoption
Deliver customer classroom-based training to architect, developer and operations roles
Work as part of a wider delivery team comprising fellow consulting engineers, project managers and account teams
Cultivate your individual reputation as a trusted advisor to guide and our customers into the future
Partner with Product and Engineering teams to influence the direction of the product roadmap

What will you do:
Design, build, and maintain production-grade AI-powered applications and services.
Develop end-to-end full-stack solutions, including backend services, APIs, and modern React-based frontends.
Build scalable, secure, and highly available distributed systems.
Develop AI agents, copilots, autonomous workflows, and intelligent automation.
Build and deploy RAG (Retrieval-Augmented Generation) solutions and integrate LLMs into production.
Design AI orchestration workflows using frameworks such as LangChain, LangGraph, or similar.
Implement AI evaluation, tracing, and observability pipelines using Langfuse or equivalent tools.
Develop MCP (Model Context Protocol) integrations and AI tooling ecosystems.
Build and maintain cloud infrastructure, CI/CD pipelines, and Infrastructure-as-Code.
Drive engineering productivity through AI-assisted development and automation.
Collaborate closely with Product, Design, and Engineering teams to deliver customer value.
Research and evaluate emerging AI technologies and introduce innovative solutions.
Own features end-to-end-from architecture and development to deployment, monitoring, and continuous improvement.

We are seeking a skilled Python Software Engineer to join our growing R&D team.
This role offers the opportunity to work in a fast-paced, innovative environment, contributing to the development of cutting-edge technologies.

Responsibilities:
Design, develop, and maintain core software tools and processes.
Optimize applications for improved performance, scalability, and efficiency.
Collaborate with cross-functional teams to integrate solutions seamlessly.
Troubleshoot, debug, and resolve complex technical issues.
Stay up to date with industry best practices and emerging technologies.

Our AI Data Development Group is the data analytics core in our AI algorithms development process, and has several main areas of responsibility:
1) Mining the optimal data for our datasets, based on a deep understanding of the nuances of medical data, medical workflows, and algorithms.
2) Evaluating our algorithms performances, in order to maximize their success in real-world environments.
3) Facilitating data-driven product decisions through in-depth analysis.
4) Technical project management of the dataset development process.
ResponsibilitiesL:
End-to-end ownership and technical project management of dataset development projects, for training and evaluation of AI algorithms, from ideation to delivery. This responsibility includes:
The facilitation of the data across various teams.
Detecting errors and anomalies in the data, defining the most efficient and accurate tables and views per project, and researching these issues to verify the quality signature of the dataset, which will have a sound effect on the product outcome.
Developing the optimal data pipeline per project.
Facilitating data-driven product decisions, by deeply understanding the product questions and identifying whether there are cost-effective data analyses that could provide a valuable answer to this question, based on a deep understanding of the relevant clinical workflows and algorithms.
Mapping bottlenecks in existing processes, and leading development of tools, infrastructure, and mechanisms to enhance our efficiency and decision-making processes at all levels.
Continuously assessing the projects risks and successfully mitigating them.
Develop and execute control and review processes for improving the teams quality signature on deliverables.