MLabs

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

Backend Engineer

• 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.

Senior DevOps / SRE Engineer

Infrastructure Engineer

• **Infrastructure Architecture:** Design, build, and maintain cloud infrastructure with a core focus on **scalability and security**.
• **Automation & SRE:** Architect and operate containerized systems (**Docker, Kubernetes**), automating provisioning and deployments using **Terraform, Jenkins, and CI/CD pipelines**.
• **Security & Resilience:** Configure and manage **secure enclaves (e.g., AWS Nitro)** to harden critical workflows and improve overall system resilience.
• **Observability:** Implement and maintain robust **observability** with tools like **Datadog** across logs, metrics, and traces.
• **Optimization:** Optimize performance and reliability of Node.js applications and backend services.
• **Strategy Alignment:** Partner with product and security teams to align infrastructure decisions with the roadmap and risk strategy.

Senior Infrastructure Engineer

Product Marketing

• Value Proposition Development: Refine the core messaging and translate complex technical product features into clear, compelling narratives that connect solutions to tangible business outcomes.
• Go-to-Market (GTM) Execution: Design and execute end-to-end GTM campaigns for new products and features, managing the process from initial planning through post-launch analysis.
• Customer Journey Management: Own the post-acquisition communication journey, creating and managing programs focused on onboarding, activation, retention, and expansion.
• Strategic Advisory: Serve as a trusted advisor to key customers, assisting with integration, troubleshooting blockers, and tracking success metrics to ensure alignment with client goals.
• Market Intelligence: Act as the voice of the customer by utilizing qualitative data (interviews) and quantitative data (product analytics) to identify user needs and market trends.
• Cross-Functional Alignment: Serve as the key connector between Product, Engineering, Sales, and Success teams to ensure the entire organization is aligned on product narratives.

Product Marketing Manager

Analyst

• Trade post-launch assets using proprietary tools, primarily focusing on memecoins and fair-launch tokens (swing trading + liquidity provisioning).
• Manage liquidity provision, market structure, and treasury decisions with a focus on chart optics, growth momentum, and disciplined profit-building.
• Analyze tokens, monitor catalysts, narrative rotation, social sentiment, and market flows to optimize trading strategies.
• Speak directly with clients, taking an analyst-style role in relationship management, business development (BD), and CRM.
• Build and maintain strong client relationships with clear communication, creating strategy briefs, token analyses, and real-time updates for both clients and internal use.
• Perform PnL / positional accounting and reporting. Manage treasury movements, position sizing, LP allocation, and profit recycling.
• Work closely with traders and developers to refine strategies and improve proprietary trading tools.

Trader Analyst

• Oversee the design, configuration, and deployment of networks, servers, network switches, firewalls, and applications.
• Oversee the configuration of servers with virtualization and troubleshoot complex application issues across the stack.
• Ensure all infrastructure solutions meet stringent business needs for high scalability and industry-leading security standards.
• Ensure correct configuration of all network components, including routers, switches, firewalls, and VPNs.
• Ensure regular maintenance of servers, networks, and other infrastructure components to guarantee maximum uptime and reliability.
• Monitor system performance and proactively implement solutions to enhance reliability, security, and scalability.
• Collaborate closely with engineering teams to integrate DevOps best practices into the development and deployment lifecycle, promoting automation.

Network Infrastructure Engineer – DevOps

• Stay connected with the EVM ecosystem, bringing vital learnings and applicable explorations back to the team to improve EVM DevEx.
• Implement and enhance the Java-based smart contract services that parse bytecode and process transactions submitted via an EVM client.
• Design, develop, and maintain server-side logic and public APIs using TypeScript, SQL, REST, GraphQL, and Web Sockets.
• Write efficient, reusable, and reliable code to optimize for maximum speed, scalability, and system efficiency.
• Apply knowledge of Solidity and the EVM transaction lifecycle to explore and unblock Web3 tool and DApp integration capabilities, ensuring developers can use familiar tools.
• Continuously discover, evaluate, and implement new technologies to maximize development efficiency and effectiveness.