G2i Inc.

• Evaluate AI-generated coding interactions end-to-end • Judge whether outputs are: - Useful - Correct (at a high level) - Aligned with how a strong engineer would think • Assess the **quality of explanations and reasoning**, not just code • Distinguish between different levels of response quality (e.g. what makes something a *2 vs 4*) • Provide clear, opinionated feedback on: - What worked - What didn’t - What felt “off” or misleading • Help define what *great* looks like when interacting with tools like Cursor

Role Description We’re looking for a Senior or Staff Software Engineer who is highly proficient in TypeScript, strong on the backend, and comfortable contributing across the full stack. You’ll join a small engineering team and take meaningful ownership of architecture, implementation, and delivery. Your initial work will support an important enterprise customer, requiring you to collaborate directly with stakeholders, translate their needs into product capabilities, and deliver high-quality solutions independently. This is an excellent opportunity for an engineer who enjoys early-stage environments, modern serverless architecture, customer-facing problem-solving, and AI-native software development. What You’ll Do - Design, build, and ship production features across Vallor’s TypeScript stack - Own backend services, APIs, integrations, data flows, and serverless infrastructure - Contribute to the frontend when needed using Next.js and TypeScript - Work directly with enterprise customers to understand their workflows and technical requirements - Translate customer needs into well-scoped, maintainable product features - Communicate tradeoffs, clarify requirements, and push back constructively when needed - Build integrations across enterprise systems, contract platforms, communication tools, and third-party APIs - Design and maintain serverless, event-driven systems on AWS - Contribute to infrastructure-as-code workflows using SST and related tooling - Use AI coding agents extensively to accelerate development and parallelize work - Review, test, debug, and improve AI-generated code rather than accepting raw output - Maintain a high standard for code quality, security, reliability, and maintainability - Help shape engineering practices and technical direction as the team grows - Identify opportunities beyond the initial customer requirements and turn them into valuable product improvements Qualifications - Senior or Staff-level software engineering experience - Deep professional experience with TypeScript - Strong backend engineering skills using Node.js, Bun, or similar runtimes - Ability to contribute across the full stack, including modern React or Next.js applications - Experience building and operating production systems on AWS - Strong understanding of serverless and event-driven architecture - Experience designing APIs, integrations, and distributed backend workflows - Experience with PostgreSQL or similar relational databases - Familiarity with infrastructure as code - Strong product judgment and ability to turn ambiguous needs into shipped solutions - Excellent written and verbal English communication - Ability to work directly with customers and non-technical stakeholders - Strong organization, attention to detail, and project ownership - Experience using advanced AI coding tools or agents as a core part of daily development - Ability to critically review and take ownership of AI-generated code Requirements - Previous experience as a founding engineer or early-stage startup engineer - Experience in a forward-deployed, solutions engineering, implementation, or technical consulting role - Experience working directly with enterprise customers - Deep knowledge of AWS infrastructure and systems architecture - Experience with SST, Pulumi, or comparable infrastructure-as-code tools - Experience coordinating multiple AI coding agents in parallel - Experience building enterprise AI products or workflow-automation platforms - Experience integrating with systems such as SAP, NetSuite, Salesforce, Snowflake, Microsoft 365, Slack, or contract lifecycle management platforms - Public projects, open-source contributions, or code samples that demonstrate engineering quality - Experience bringing structure and engineering maturity to a small, fast-growing team Benefits - Target range of USD $100,000–$140,000 annually, with flexibility up to approximately $200,000 for exceptional talent - Remote work options, with a preference for candidates in Europe Company Description Our client is building an enterprise-ready AI coworker for procurement, legal, and sales teams. Its platform connects with the systems companies already use—including ERPs, contract platforms, email, and collaboration tools—to review contracts, surface risks, track obligations, and deliver grounded answers with citations to the underlying source data. Rather than requiring customers to replace their existing workflows, Vallor integrates directly with their technology stack and helps teams automate contract review, negotiation, renewals, compliance, and value recovery. Our client is an early-stage company with an 11-person team and a highly AI-native engineering culture. As the company expands its enterprise customer base, it is looking for a senior engineer who can combine excellent product engineering with ownership, customer empathy, and strong technical judgment.

Role Description G2i is partnering with Human Cloud, a technology-enabled platform that helps organizations discover, evaluate, and deploy flexible workforce solutions. We’re looking for a hands-on Data Analytics & Visualization Engineer to help build and enhance enterprise analytics and data visualization solutions. This role is ideal for a mid-to-senior-level engineer who combines strong execution skills with the ability to translate business requirements into clear, reliable, and useful data products. You’ll work across analytics, visualization, and application development using Python, TypeScript, and enterprise productivity ecosystems. You should also be comfortable incorporating AI tools into your everyday development and analytical workflows. What You’ll Do - Design and build enterprise-grade analytics and data visualization solutions - Develop interactive dashboards, reporting experiences, and data-driven applications - Use Python to transform, analyze, and prepare data for reporting and visualization - Build frontend features and visualization components using TypeScript - Integrate analytics solutions with enterprise Microsoft tools and Google Workspace - Translate business questions and stakeholder needs into practical technical solutions - Improve the usability, performance, and maintainability of existing analytics platforms - Use AI-assisted tools to accelerate development, analysis, documentation, and problem-solving - Collaborate with technical and non-technical stakeholders in a remote environment - Take ownership of deliverables from initial requirements through implementation Qualifications - Professional experience building analytics platforms, dashboards, or data visualization products - Strong proficiency with Python for data processing, analysis, or backend development - Experience with TypeScript and modern web application development - Practical knowledge of data visualization principles and libraries or BI platforms - Experience working with enterprise data sources, APIs, and reporting workflows - Familiarity with the Microsoft enterprise ecosystem, such as Power BI, Excel, Azure, Microsoft 365, or related tools - Familiarity with Google Workspace and its data or productivity tools - Experience using AI coding assistants or generative AI tools in day-to-day workflows - Ability to work independently, make sound implementation decisions, and deliver production-ready solutions - Strong written and verbal English communication skills - Availability to collaborate with teams working primarily across North American time zones Nice to Have - Experience with Power BI, Tableau, Looker, D3.js, Plotly, Recharts, or similar technologies - Experience building custom analytics applications rather than working exclusively in traditional BI tools - Knowledge of SQL, data modeling, ETL/ELT workflows, and cloud data platforms - Experience integrating Microsoft and Google Workspace services through APIs - Previous experience in consulting, client-facing delivery, or fast-moving project environments - Experience using LLMs or AI agents to support analytics, reporting, or data exploration What Success Looks Like You can quickly understand business needs, work effectively within an existing enterprise technology environment, and turn complex data into intuitive, actionable experiences. You are comfortable owning execution, collaborating remotely, and using modern AI-enabled workflows to deliver high-quality work efficiently.

Role Description We're seeking a Mid/Senior Data Analytics & Visualization Engineer who thrives at the intersection of engineering, analytics, and product. You'll help design and build internal analytics and visualization experiences that empower teams to explore data, monitor business performance, and make better decisions. This is a hands-on engineering role focused on execution—you'll spend most of your time building rather than managing. We're looking for someone comfortable working in a fast-moving environment who already uses AI tools as part of their daily development workflow. What You'll Do - Build scalable analytics applications and interactive data visualization experiences. - Develop backend services and data processing pipelines using Python. - Build modern frontend interfaces using TypeScript. - Transform complex business data into intuitive dashboards and visualizations. - Collaborate with product, design, and business stakeholders to define analytics requirements. - Improve data quality, performance, and usability across analytics platforms. - Leverage AI-assisted development tools to accelerate delivery and improve engineering efficiency. Qualifications - Professional experience building production software with Python. - Strong experience with TypeScript. - Experience building enterprise analytics platforms, BI applications, or data products. - Strong understanding of data modeling and analytics workflows. - Experience building interactive data visualizations. - Comfortable working across frontend and backend components. - Experience consuming APIs and working with structured datasets. - Strong communication skills in English. - Comfortable working independently in a remote environment. - Regular use of AI coding tools (such as ChatGPT, Claude, Cursor, GitHub Copilot, or similar) as part of your daily workflow. Requirements - Experience with modern visualization libraries (D3.js, Observable, Vega, Plotly, Recharts, ECharts, etc.). - Experience with SQL and analytical databases. - Experience building internal tooling or business intelligence platforms. - Cloud experience (AWS, GCP, or Azure). Interview Process - Resume review - Client review call - 1–2 technical/client interviews - Offer Benefits - Contract (3–6 months, with possibility of extension or full-time conversion). - Budgeted around USD $60K for the initial engagement (open based on scope and experience).

• Design, develop, and maintain scalable full-stack applications using React.js, Node.js, and TypeScript. • Integrate LLMs and AI services into production features — structured outputs, retrieval-augmented generation (RAG), and agentic or tool-using workflows. • Build and maintain the supporting data and retrieval layers for AI features (embeddings, vector search, context pipelines). • Measure and improve AI feature quality, reliability, latency, and cost through evaluation and guardrails. • Collaborate with cross-functional teams to define, design, and ship new features. • Implement best practices for platform engineering, performance optimization, and security. • Work closely with DevOps to automate and streamline deployment processes. • Write clean, testable, and efficient code, and participate in code reviews. • Stay current with emerging AI and web technologies and share knowledge with peers.

Role Description Our client is building next-generation financial infrastructure that enables real-time movement of digital money across traditional banking systems and digital asset networks. They are looking for a technically strong Client Support Engineer to serve as the primary support contact for partner financial institutions, helping diagnose, troubleshoot, and resolve operational and technical issues across their payments platform. This role sits at the intersection of technical support, operations, and engineering, making it ideal for candidates who enjoy solving complex problems, working directly with customers, and improving support processes in fast-paced environments. What You'll Do - Serve as the Primary Technical Contact for Financial Institution Partners - Act as the first point of contact for partner banks and financial institutions experiencing technical or operational issues. - Investigate and resolve support requests related to API behavior, connectivity, payment processing, and operational workflows. - Communicate effectively with both technical and non-technical stakeholders throughout the resolution process. - Manage and Resolve Operational Exceptions - Monitor support queues and exception management systems. - Triage, investigate, and drive incidents to resolution. - Escalate complex issues to Engineering when necessary and coordinate follow-through until closure. - Conduct root cause analysis and document findings. - Improve Support Operations - Create and maintain support documentation, runbooks, troubleshooting guides, and escalation procedures. - Identify recurring issues and work with Engineering and Product teams to improve reliability and reduce support volume. - Contribute to the design and scaling of support processes, monitoring practices, and operational workflows. - Collaborate Cross-Functionally - Partner closely with Engineering, Product, and Operations teams. - Provide actionable feedback based on customer and operational trends. - Help shape a scalable support function within a growing fintech environment. Qualifications - 3+ years of experience in a client-facing Support Engineering, Technical Support Engineering, Solutions Engineering, or Production Support role. - Experience supporting customers in fintech, payments, banking, financial infrastructure, or related industries. - Strong troubleshooting and root cause analysis skills. - Experience working directly with APIs, including testing and debugging REST APIs using tools such as Postman. - Familiarity with monitoring and observability platforms such as Grafana, Datadog, Splunk, or similar. - Working knowledge of Linux command line and networking fundamentals. - Excellent written and verbal communication skills. - Ability to manage multiple support cases independently and drive issues to resolution. Nice-to-Have Qualifications - Experience supporting banks, payment processors, or financial institutions. - Knowledge of payment systems, money movement, banking infrastructure, or financial operations. - Experience with blockchain technology, digital assets, stablecoins, tokenized deposits, or cryptocurrency platforms. - Familiarity with automation and configuration management tools such as Ansible, Chef, or Terraform. - Experience working in startup or high-growth environments. What Success Looks Like - Support tickets are resolved accurately and efficiently. - Partner institutions receive timely and professional technical support. - Operational incidents are investigated thoroughly and documented clearly. - Support processes become increasingly scalable through automation, documentation, and continuous improvement. - Strong collaboration exists between Support, Engineering, and Product teams to improve platform reliability and customer experience. Benefits - Competitive salary - USD 88-100K (up to 110k for NY/SF area). - Equity participation. - Comprehensive medical, dental, and vision coverage. - 401(k) with employer matching. - Flexible PTO. - Fully remote work environment. Location Requirement - Candidates must be based in the United States and willing to travel occasionally as needed.

• You'll own product areas end-to-end — architecture, implementation, and iteration — across our agent platform. • That means building and maintaining core application infrastructure in React, Next.js, TypeScript, Node, and PostgreSQL. • Designing the AI layer that makes our agents actually work: multi-model orchestration, RAG pipelines and vector databases, semantic memory, prompt caching strategies, and token usage tracking. • Build and maintain eval and testing harnesses to keep agent behavior reliable as models and prompts evolve. • Work closely with the founding team to translate fuzzy product ideas into shipped, working systems.

• Own backend systems and infrastructure end-to-end, from design through deployment and scaling • Build performant, reliable APIs and services that power core financial products • Design and implement scalable architectures on AWS using Node (TypeScript) • Make pragmatic tradeoffs between speed, reliability, scalability, and maintainability • Ship production code frequently while maintaining high quality standards • Help establish technical patterns and best practices for the engineering team • Interface effectively with product engineers and other stakeholders

• Take full ownership of complex, escalated, or high-risk accounts — from first risk signal through to resolution. • Diagnose root cause behind every at-risk engagement: strategy, execution, expectation misalignment, or delivery failure — and build the right intervention. • Lead high-stakes conversations at founder and C-suite level — resetting expectations, rebuilding trust, and redirecting momentum toward outcomes. • Monitor engagement-health signals across your accounts and intervene before issues become formal escalations. • Build targeted recovery plans that address root causes — not surface complaints — and execute them at pace. • Report weekly on case outcomes, revenue protected, churn signals, and patterns needing broader attention. • Lead live advisory sessions with founders — implementation-focused guidance across offer, outbound, pipeline, and execution. • Translate client reality into structured, actionable feedback for internal delivery teams. • Contribute to escalation frameworks, retention playbooks, and client-risk systems that work beyond your own caseload.

Role Description We seek a talented and motivated Senior Front-End Web Developer to join our dynamic team. The ideal candidate will have a strong foundation in React, JavaScript, and TypeScript and a passion for creating visually appealing and highly functional web applications. This role will involve collaborating with cross-functional teams to design, develop, and implement front-end solutions for our diverse range of projects. The candidate must be based in a GMT+4 to GMT+9 time zone. Key Responsibilities - Develop and maintain web applications using React, JavaScript, and TypeScript. - Translate designs and wireframes into high-quality code. - Optimise applications for maximum speed and scalability. - Ensure the technical feasibility of UI/UX designs. - Collaborate with back-end developers and other team members to establish objectives and design more functional, cohesive codes to enhance user experience. - Implement performant code to ensure the product works across devices of various capacities. - Write clean, scalable, and documented code with an emphasis on maintainability. - Debug and troubleshoot layout and scripting issues across a variety of browsers. - Participate in code reviews and contribute to team knowledge sharing. Required Skills - Strong experience with React and Typescript. - Experience with any modern state management library (Finite State Machine libraries preferred - e.g XState). - Strong experience with single-page applications (SPA) and state management. - Experience with a CSS-in-JS framework for styling. - Knowledge of front-end build pipelines and tools. - Understanding of general linear algebra and its application in graphics and animations. - Experience with GraphQL APIs and asynchronous request handling. - Strong problem-solving skills and attention to detail. - Experience with maintaining or deploying libraries or plugins is nice to have. - Frontend testing experience is required. Qualifications - Bachelor's degree in Computer Science or a related field or equivalent experience. - 4+ years of professional experience in front-end web development. - Demonstrable experience with React, JavaScript, and TypeScript. Nice to Have - Experience working with canvas-based environments. - Familiarity with cloud services and infrastructure. - Experience with Rust is nice to have. - Proficient in AI-native workflows to accelerate development while ensuring AI-generated code meets high standards for performance, security, and accessibility.