G2i Inc.

Frontend Engineer

• 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.

Full Stack Engineer – AI-Native, React, Node

Backend Engineer

• 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

Senior Full Stack Engineer – Backend Leaning

Full-stack Engineer

• 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.

Full Stack AI Engineer – AI Acquisition

Account Manager

• 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.

Account Manager – AI Acquisition

AI Engineer

• Lead the development of a new AI-powered mental health product (initially audio-focused)
• Take full ownership of the project from early-stage scoping through execution
• Collaborate with clinicians, designers, and product stakeholders to shape the solution
• Architect and build scalable backend systems and APIs
• Contribute to (and potentially lead) frontend/mobile application development
• Establish engineering best practices, including AI-native workflows
• Make key technical and product decisions in an ambiguous, fast-moving environment
• Mentor and help build the team as the project scales

Founding – Lead AI Engineer, Mental Health Tech

• Help train large language models (LLMs) to write production-grade code
• Compare and rank multiple code snippets
• Repair and refactor AI-generated code for correctness, efficiency, and style
• Inject feedback into the RLHF pipeline

Software Engineer, AI – TypeScript

• Help train large language models (LLMs) to write production-grade code across a wide range of programming languages:
• Compare and rank multiple code snippets, explaining which is best and why
• Repair and refactor AI-generated code for correctness, efficiency, and style
• Inject feedback (ratings, edits, test results) into the RLHF pipeline and keep it running smoothly
• End result: the model learns to propose, critique, and improve code the way you do.

Software Engineer, AI, Rust

Software Engineer, AI – Python

• Help train large language models (LLMs) to write production-grade code
• Compare and rank multiple code snippets
• Repair and refactor AI-generated code for correctness, efficiency, and style
• Inject feedback into the RLHF pipeline and keep it running smoothly

Software Engineer, AI – Java

• Help train large language models (LLMs) to write production-grade code across a wide range of programming languages
• Compare and rank multiple code snippets, explaining which is best and why
• Repair and refactor AI-generated code for correctness, efficiency, and style
• Inject feedback (ratings, edits, test results) into the RLHF pipeline and keep it running smoothly

Software Engineer, AI – Go

Data Engineer

• Build AI workflows for RFP intake, document parsing, extraction, and qualification
• Create RAG and semantic search pipelines over RFP documents
• Extract structured data like due dates, project scope, contacts, requirements, and submission instructions
• Develop FastAPI services and backend APIs
• Build human review and approval workflows
• Improve reliability, testing, observability, and AI quality

Senior AI/Data Engineer

• Design and build the coding benchmarks and evaluation pipelines used to test frontier AI models on real software engineering work:
• Design coding benchmarks that evaluate frontier models on real-world programming tasks — reasoning, debugging, and production-quality code
• Build and maintain scalable data pipelines for evaluation workflows
• Analyze model-generated code for correctness, reliability, and edge-case failures
• Construct structured evaluation scenarios across large repos and multi-language environments
• Provide detailed technical feedback on model performance and failure patterns
• Contribute to evaluation frameworks that set the bar for how coding ability is measured
• End result: benchmarks that meaningfully separate what frontier models can and can't do — and shape how the next generation is trained and improved.
• AI coding evaluation in one line: Design task → build harness → run model → analyze failures → feed findings back into the benchmark → evaluations that actually distinguish strong models from weak ones.

Senior Software Engineer – AI Evaluation & Benchmarks, Python

Software Engineer

• Support active recruiting projects for major AI/RLHF clients
• Help manage G2i pipeline, inbound applications, sourcing, and testing coordination
• Conduct intro and screening meetings with developers when necessary
• Run candidate-facing campaigns: onboarding, ID checks, contract signing, deactivations, reactivations
• Assist with developer onboarding for new contracts and project ramp-ups
• Help build and maintain talent pools and shortlists for recurring client needs
• Manage multi-channel communications across Slack, LinkedIn, WhatsApp, and email
• Run shared inboxes — triaging, drafting replies, escalating thoughtfully
• Run campaigns via outreach tools to several members at a time
• Help plan, promote, host, and follow up on community events: AMAs, Happy Hours, developer sessions, hackathons
• Build and maintain a speaker pipeline
• Welcome new Slack members and keep community channels warm and responsive
• Support and come up with more community initiatives
• Maintain documentation, FAQs, and shared resources with strong attention to detail
• Update Canva assets and templates
• Create and refine processes that prevent errors and improve efficiency
• Support special projects end-to-end