MLabs

Blockchain Engineer

• System Architecture: Design and implement the core system architecture for a real-time, high-stakes distributed platform.
• End-to-End Ownership: Own systems from initial concept and design through implementation and production deployment.
• Technical Problem Solving: Translate ambiguous, high-level objectives into concrete, scalable technical solutions.
• Performance Optimization: Identify and resolve performance bottlenecks, latency constraints, and complex system failures.
• Technical Leadership: Drive technical direction across various components and services while establishing engineering best practices and code quality standards.
• Collaboration: Work closely with product and business functions to ensure technical decisions align with intended economic outcomes.
• Cultural Impact: Define engineering standards, influence future hiring, and set the cultural bar for the engineering organization.

Distributed Systems Engineer

Account Executive

• Full-Cycle Sales Ownership: Lead deals from prospecting and qualification through commercial negotiation, closing, and post-sale implementation planning.
• Pipeline Generation: Leverage an existing network within the US fintech and payments ecosystem to generate and manage a robust book of business.
• Technical Discovery: Engage prospects at an architectural level regarding payment rails, integration models, compliance frameworks, and treasury operations.
• Solution Design: Collaborate with internal architects, compliance, and product teams to develop client-specific proposals that are technically feasible and regulatorily sound.
• Commercial Negotiation: Structure pricing, contracts, and partnership terms that align with both client objectives and the organization’s business framework.
• Pre-Sales Execution: Develop compelling proposals and pitch materials for a range of buyer personas, including engineering leaders, CFOs, and C-suite executives.
• Implementation Support: Coordinate with onboarding teams post-close to ensure a smooth transition and successful client go-live.
• Market Representation: Participate in industry conferences and client meetings to enhance the client's visibility and reputation within the ecosystem.

Enterprise Account Executive

Chief Marketing Officer

• Go-To-Market (GTM) Ownership: Design and execute the end-to-end launch strategy, transitioning the platform from alpha phases to full public availability.
• Brand Strategy: Define and own the core narrative, ensuring the platform is recognized as the default winner in the emerging Prop AMM category.
• Content & Distribution: Oversee the creation of high-impact launch assets, including technical threads, video content, and live demos.
• Growth & Campaigns: Develop and scale growth loops and marketing campaigns that drive user acquisition and ecosystem stickiness.
• Cross-Functional Coordination: Act as the central node between Product, Business Development, Partnerships, and Market Makers to ensure a unified market presence.

CMO, Growth Lead

Engineer

• Construct and maintain large-scale web crawlers across diverse domains.
• Design high-throughput, fault-tolerant systems for data collection, managing volumes ranging from millions to billions of URLs per day.
• Navigate anti-bot systems, rate limits, and dynamic, JavaScript-heavy websites.
• Develop robust pipelines for data cleaning, deduplication, filtering, and normalization.
• Build and maintain datasets specifically structured for research and machine learning model training.
• Monitor and optimize crawl performance, coverage, and data quality through rapid iteration.
• Collaborate with research teams to ensure data collection efforts align with modeling requirements.
• Optimize infrastructure to ensure cost-efficiency, low latency, and reliability.

Research Crawling Engineer

Backend Engineer

• Based in CET, Eastern US, or Middle East time zones, with the ability to maintain a 70% schedule overlap with the team’s core working hours of 10 AM to 5 PM CET.
• Define and document technical and architectural visions for products, components, and libraries.
• Ensure recommended software engineering principles are followed across all projects.
• Design solutions that satisfy business, functional, and non-functional requirements, distinguishing features from enablers.
• Define subsystems and their interfaces while allocating clear responsibilities across the architecture.
• Establish critical non-functional requirements and raise awareness of these needs among stakeholders.
• Document all architecture and technical decisions in a centralized, accessible location.
• Evaluate and select appropriate software, hardware, and integration methods, ensuring products do not rely on unstable or immature external libraries.
• Factor the long-term costs of architectural decisions into the overall decision-making process.
• Support agile software development practices and participate in planning, solution definition, and exploration of alternatives.
• Provide technical advice during work prioritization and iteration planning.
• Contribute to work breakdown and task allocation to maximize team effectiveness.
• Review acceptance criteria for critical developer tasks.
• Communicate technical details clearly with scientists, researchers, developers, and business stakeholders.
• Summarize proposed technical solutions for management and business decision-makers.
• Enable continuous delivery of features through appropriate architectural planning, timeline setting, and milestone definition.
• Acquire a deep technical understanding of the specific problem and solution spaces.
• Maintain updated expertise in computer science and engineering techniques.
• Review relevant literature and learn new topics as necessary to solve complex technical problems.
• Recognize the limits of personal expertise and seek additional knowledge or external input when required.

Senior Technical Architect

Full-stack Engineer

• Architect and build robust full-stack systems to power a proprietary AI financial agent.
• Develop scalable APIs and backend services designed to support complex agent workflows.
• Build high-performance user interfaces that visualize agent reasoning, surface deep financial insights, and enable real-time interaction.
• Collaborate closely with AI researchers to productionize agent logic and integrate Large Language Model (LLM) frameworks.
• Connect and manage complex data pipelines sourced from various financial providers.
• Implement rigorous testing, monitoring, and performance best practices to ensure system reliability.
• Stay at the forefront of LLM frameworks, full-stack development tools, and evolving financial trends to maintain a competitive edge.

Full Stack Engineer, AI

Accounting Manager

• Manage relationships and deliverables with external accounting partners to ensure an accurate and timely month-end close and financial reporting process.
• Act as the lead controller for digital asset accounting, overseeing blockchain reconciliations, transaction recording, and complex valuation processes.
• Administer and maintain the third-party digital asset accounting subledger, ensuring data integrity and seamless integration with core financial systems.
• Manage the monthly stablecoin attestation process, coordinating with auditors to verify reserve balances and publish timely, transparent reports.
• Lead the creation and submission of regulatory reports in compliance with relevant jurisdictions, including specialized stablecoin reserve disclosures.
• Establish and maintain accounting policies aligned with US GAAP and specific digital asset accounting guidance.
• Collaborate with engineering, operations, and compliance teams to support new product launches and implement robust internal controls.
• Support annual audits and serve as the primary point of contact for external auditors.

Senior Accounting Manager

DevOps Engineer

• Infrastructure Design: Architect and deploy secure, scalable Azure infrastructure tailored for production-grade distributed systems.
• Automation & IaC: Develop and maintain Terraform-based infrastructure as code to enable repeatable, automated deployments across various environments.
• Technical Leadership: Translate ambiguous product and customer requirements into structured technical architecture and actionable execution plans.
• Platform Enhancement: Build and optimize platform services, APIs, and integrations to extend core system capabilities.
• Cross-Functional Collaboration: Partner with engineering, security, and product teams to deliver enterprise-ready infrastructure solutions.
• Operational Excellence: Drive improvements in reliability, observability, and incident response while providing Tier 2 infrastructure support for customer deployments.

Senior Site Reliability Engineer, Azure

• System Ownership: Design, build, and maintain production-grade, low-latency backend systems capable of handling thousands of simultaneous market resolutions.
• Concurrency & Performance: Implement sophisticated Go concurrency patterns to manage real-time data flow and high-frequency transaction processing.
• Infrastructure & Scaling: Manage and optimize distributed systems, ensuring idempotency, consistent ordering guarantees, and robust failure recovery.
• Observability: Lead production debugging efforts using logs, metrics, tracing, and profiling to maintain 24/7 system reliability.
• Technical Autonomy: Operate with a high degree of independence in a fast-paced startup environment, shaping the foundational architecture of a novel product category.

Senior Golang Engineer

AI Engineer

• Feedback Loop Implementation: Design and implement systems that connect trade outcomes back to strategy improvement, specifically focusing on signal selection, risk parameters, position sizing, and timing.
• Evaluation Frameworks: Build frameworks to quantify which signals and market conditions accurately predict profitable trades versus noise.
• Automated Strategy Generation: Develop systems to explore new configurations, backtest them against real fleet data, and surface candidates for deployment autonomously.
• Market Adaptation: Build mechanisms to detect shifts in market conditions (e.g., trending vs. choppy) and adapt fleet behavior in real-time.
• Fleet Monitoring: Create higher-order agents for automated monitoring to catch configuration errors and performance degradation across all concurrent agents.
• Performance Attribution: Decompose trades into component drivers—signal accuracy, execution efficiency, and exit timing—to feed insights back into strategy design.
• Coordination & Risk: Manage concentration risk and capital allocation across the fleet, balancing the exploration of new approaches with the exploitation of proven strategies.
• Infrastructure Ownership: Transition from external LLM dependence to controlled intelligence, evaluating hosting strategies ranging from proxied external models to fine-tuned, domain-specific models.
• Data Capture: Build the telemetry and data capture layer to ensure every decision and outcome is structured and queryable.
• Domain-Specific Training: Determine the efficacy of domain-specific training over general-purpose prompting and build the necessary pipelines for implementation.
• Inference Optimization: Optimize inference for many concurrent agents, ensuring structured decision outputs and cost-efficiency at scale.

Staff AI Engineer

Data Engineer

• Agentic Systems: Design and build single and multi-agent systems incorporating planning, memory, and tool use.
• Infrastructure: Build and operate MCP servers with secure schemas and permissions.
• Workflows: Develop sophisticated agentic workflows using LangGraph or equivalent frameworks.
• LLM Integration: Manage prompts, structured outputs, and tool calling via SDKs.
• Evaluation: Define and run LLM evaluation pipelines for quality, correctness, latency, cost, and regressions.
• Observability: Build reliability infrastructure, including logging, tracing, retries, and state management.
• Performance: Optimize performance and cost-efficiency from prototype to production.
• Mentorship: Establish agentic best practices and mentor junior engineers.

AI Data Engineer

• Lead the design and development of highly scalable, secure backend services and APIs.
• Define and evolve the architecture for databases, microservices, and system integrations.
• Own critical projects from initial requirements through production deployment and iteration.
• Troubleshoot and resolve complex performance and reliability challenges at massive scale.
• Drive improvements to CI/CD, observability, and engineering processes across multiple teams.
• Collaborate with product, security, and leadership to shape roadmap priorities and align technical execution with long-term company strategy.
• Mentor senior engineers, promote best practices, and represent technical expertise in high-level client discussions.
• Make key architectural decisions and drive engineering standards across the organization.

Principal Software Engineer

People Operations

• Serve as the primary point of contact for administrative tasks, expense management, and office logistics to ensure leadership remains focused on core objectives.
• Take full ownership of monthly payroll and benefits administration, managing expenses and maintaining the organization’s financial "house" regarding employee matters.
• Act as a confidential, approachable "safe harbor" for the team. Handle employee inquiries and HR-related issues with empathy, maturity, and common sense.
• Plan and execute high-impact team off-sites and on-sites. Manage all travel logistics and catering to foster a thriving culture both in-person and remotely.
• Manage the "nuts and bolts" of the employee lifecycle, including onboarding, offboarding, contract management, and the maintenance of internal documentation.

People Operations Coordinator

• Architect the Solver Framework: Design the algorithms, execution strategies, and infrastructure required for solver competition, quote aggregation, and intent-ready execution workflows.
• Lead Technical Excellence: Drive high-impact architectural decisions and uphold rigorous engineering standards through deep code and design reviews.
• Cross-Functional Collaboration: Partner with product, research, and ecosystem stakeholders to ensure Solver capabilities align with the broader technical roadmap.
• Optimize Performance at Scale: Ensure low-latency and high-throughput execution across multiple chains and decentralized environments.
• Develop Solver Economics: Shape incentive structures, competition mechanisms, and cryptoeconomic models to foster and sustain participation within the network.
• Hands-on Technical Leadership: Balance high-level architectural oversight with active coding, prototyping, and resolving complex technical challenges in real-time.

Senior Software Engineer – Solvers

• Build and maintain the infrastructure for concurrent AI trading agents, managing complex cron schedules, state files, and trailing stop processes.
• Deploy and manage agent environments, including workspace persistence, isolated session management, and Model Context Protocol (MCP) server connectivity.
• Design and operate pipelines for shipping trading skills and plugins to production without interrupting live trading activity.
• Execute deployment strategies (blue/green, canary) ensuring active financial positions remain protected during every infrastructure change.
• Build comprehensive alerting across the full stack using metrics, logs, and traces to detect agent failures, state file corruption, or infrastructure regressions before financial loss occurs.
• Operate and scale core platform infrastructure, including Kubernetes (EKS) clusters, Redis, Postgres, ClickHouse, and Kafka.
• Maintain blockchain node infrastructure and ensure stable connectivity to exchange APIs and on-chain transaction systems.
• Lead incident response and on-call practices, including debugging, mitigation, and post-mortems to improve long-term platform reliability.