We believe conversations will become the #1 way to shop. At Gorgias, we’re building the platform that makes this real: a unified AI agent that sells, supports, and re-engages customers across the entire journey. Conversational Commerce is the future of ecommerce, and we’re leading that shift. Our mission is to turn every interaction between a brand and its customers into a relationship: personal, seamless, and intelligent. By combining deep product expertise with the latest in AI, we’re making shopping feel more natural, human, and connected than ever before. To win, we focus relentlessly on: - Quality: conversations that feel authentic and on-brand. - Experience: effortless shopping from chat to checkout. - Re-engagement: personal, 1-1 dialogue instead of noisy marketing. The opportunity is massive. As AI reshapes how people buy, Gorgias is building the foundation for the next decade of ecommerce, where every brand has its own intelligent agent and every customer feels understood. Join us to make Conversational Commerce real. Team & Context Gorgias is an AI-first company building products powered by LLMs and agent-based systems. As we scale our AI capabilities, we need to improve how we evaluate, iterate, and operate these systems in production. Today, parts of this process remain manual or fragmented, especially around prompt iteration, validation, and evaluation workflows. This role will focus on building and scaling the systems that support AI evaluation and iteration, helping the team move faster and more reliably. About the Role You’ll have a chance to: - 🤖 Work on production AI systems used by thousands of businesses - 🧠 Define how we evaluate and improve AI performance at scale - 🏗️ Build internal platforms and tooling used by AI and engineering teams - 📈 Reduce manual processes and improve iteration speed on AI features - 👥 Collaborate across AI, ML, and product teams - 🧑‍🏫 Raise the engineering bar and mentor others What You’ll Do - Design and build systems for evaluating AI performance (offline and online) - Develop workflows and tooling for prompt iteration and validation - Improve the reliability, scalability, and observability of AI systems in production - Work closely with ML Engineers and AI Engineers to integrate evaluation into development workflows - Collaborate with product teams to ship AI-powered features - Take ownership of systems end-to-end, from design to production and monitoring - Contribute to improving engineering practices around AI development and evaluation - Mentor engineers and help structure how the team approaches AI engineering Who You Are - 8+ years of experience in software engineering - Strong backend engineering background - Experience building and scaling production systems - Experience working with AI systems (LLMs, agents, or similar) You likely come from one of the following backgrounds: - Staff or senior software engineer who has moved into AI systems - Engineer working on applied AI products in production - Experience building internal platforms or developer tooling What You’ll Do 1. Architect the Evaluation "Factory" - End-to-End Platform Ownership: Architect and lead the development of our internal evaluation platform, moving the needle from manual testing to a fully automated lifecycle (from LLM-as-a-judge creation to production monitoring). - Accelerate Time-to-Market: Directly impact our primary KPI by designing tools and workflows that drastically reduce the time it takes to deliver a calibrated, production-ready agent. - Infrastructure Collaboration: Partner with the Orchestration team to build the robust, scalable infrastructure required to run complex evals and agentic simulations at scale. 2. Scaling AI Expertise - Squad Empowerment: Serve as the "AI Technical Lead" for product squads, guiding them through the complexities of agent design, failure analysis, and prompting best practices. - Decentralize Quality: Instead of being a bottleneck, you will build the "paved road" that allows product squads to become autonomous in measuring and maintaining their own agent quality. - Standard Setting: Define what "good" looks like for AI at [Company Name]. You’ll translate non-deterministic AI behavior into predictable engineering metrics that the whole organization can trust. 3. Engineering Leadership - Mentor & Level Up: Bridge the gap between traditional software engineering and AI. You’ll mentor engineers on how to apply rigorous system design to the world of LLMs and agents. - Continuous Observability: Take ownership of the feedback loop, ensuring that production insights from our agents directly inform the next iteration of our evaluation datasets. Who You Are - 8+ Years of Engineering Excellence: You are a Staff-level engineer first. You’ve built systems that handle high scale, and you know how to architect for long-term maintainability and performance. - Agentic Curiosity: You’ve moved beyond the "chatbot" phase and are actively experimenting with AI Agents. You understand that the challenge isn't the prompt, but the orchestration, state management, and reliability of the agent's actions. - Systems Thinker (Non-Deterministic Mindset): You recognize that AI is probabilistic. You are excited by the challenge of building deterministic "wrappers" and Evaluation loops around models to make them safe for production. - The "Applied" Edge: You likely come from a background in distributed systems, internal platforms, or developer tooling, and you're now applying that rigor to the AI stack. What We’re Looking For - Beyond the Wrapper: You have serious experience moving beyond simple API calls to architecting multi-stage AI orchestrations (agents, chained workflows, or custom runtime logic). - Orchestration Experience: Even if you aren't an AI researcher, you have experience building complex, multi-step workflows (e.g., temporal systems, state machines, or event-driven architectures) and want to apply this to Agentic loops. - Reliability Obsession: You understand why "vibes-based" testing doesn't work. You’ve started exploring or building Eval frameworks to measure how models perform against real-world data. - Infrastructure Mindset: You are comfortable with the "glue" that makes AI work: vector databases, semantic caching, and API integration with third-party tools. Tech Stack & Experience - Strong backend experience (Python preferred) - Experience with distributed systems and event-driven architectures - Familiarity with tools like Kafka, Pub/Sub, or equivalent - Experience working with LLMs (prompting, RAG, agents, evaluation workflows) - Experience building APIs and scalable services - Understanding of monitoring, observability, and system performance Hiring Process - Recruiter phone screen - HM Interview - System Design Interview - AI Case Study (take-home, ~1–2 hours) - Technical Deep Dive of case study - Final Leadership Interview Perks and Benefits - 💰Competitive salary & equity (90th percentile worldwide, go check our public salary calculator) - 🏖️ 5-week vacation plus 2 weeks RTT (We follow each country's appropriate PTO Laws) - 🤕 Paid sick leave - 🧸 Paid parental leave (16 weeks) - 💻 MacBook Pro - 🍽️ Personal credit card to buy lunches (we use Swile) - 🏥 We provide private health insurance (we use GAN) - 💆🏻‍♀️ Get up to €700 to set up your workstation at home (working from home should feel breezy) - 📚 Get up to €2000 of learning material and wellness support per year! This includes €1500 for learning material (such as books, courses, and individual coaching sessions) directly linked to your job scope, as well as a €500 wellness budget. Take advantage of these resources to grow in your role and prioritize your personal development and wellness. - 🥰 Every quarter, we organize an online company-wide summit to discuss where we’re going and strengthen social bonds. Once per year we organize offsite team retreats and company retreats! AI at Gorgias At Gorgias, AI is a natural extension of how we work and build. Our teams use it every day to research, write, analyze, code, and craft better customer experiences. Everyone has access to premium AI tools (ChatGPT, Claude, Granola & others) and an annual L&D budget to explore new ones. The real magic happens when we share what we learn. Our #powerup Slack channel is a digital petri dish of new tools and workflows, and each team has AI champions who showcase fresh ideas during weekly company-wide standups, now practically AI demo sessions. We see AI not as a replacement for creativity or empathy, but as a multiplier, helping us move faster, think deeper, and serve customers better. AI use in Recruiting at Gorgias By submitting your application, you agree that Gorgias may collect and process your personal data for recruiting, workforce planning, and related purposes. For more information about how we process your data and your rights, please refer to our Applicant Privacy Policy. Diversity & Inclusion at Gorgias We’re committed to creating an inclusive environment where everyone can thrive. We welcome applicants from all backgrounds, experiences, and perspectives because diverse teams drive innovation and better decision-making. If you need accommodations during the application or interview process, please contact us at accommodation@gorgias.com.

At MJH Life Sciences our success is measured by your success! If you set your standards high and want to contribute to a winning team, we’ll provide you with every opportunity to help grow our company and your career. Our associates come from all backgrounds, sharing one key quality: determination to succeed. We value being Service Focused, having a Passion for Winning, Innovation, Respect, Integrity, and Teamwork. Nothing means more to us than hiring people with these attributes. If you believe you’re right for the job, this is the place to prove it! We are seeking a Senior Product Engineer to join our Enterprise Platforms team. You'll work across a wide range of projects — web applications, APIs, integrations, cloud infrastructure, and AI-powered workflows — collaborating with stakeholders to understand real problems and build solutions that make a meaningful difference. This role goes beyond writing code. You'll be involved from problem definition through delivery, with genuine ownership over what you build and how you build it. We're an AI-first team, and you'll use tools like Claude Code and Cursor as a natural part of your daily workflow. If you care about outcomes, not just output, this is the role for you. What You'll Do - Build and ship web applications using Next.js, React, and TypeScript — dashboards, internal tools, and stakeholder-facing products backed by PostgreSQL and deployed to Vercel or AWS - Design and deploy APIs and integration services on AWS (Lambda, API Gateway, DynamoDB, Secrets Manager) that connect enterprise systems including Salesforce, Workfront, Workday, and other platforms - Integrate LLM capabilities into products — prompt engineering, multi-model orchestration, streaming responses, embeddings, and cost-optimized AI pipelines using Anthropic Claude, OpenAI, and Google APIs - Develop developer tools and automation that improve team productivity and enable AI-assisted workflows, including CLI tools, MCP servers, automation scripts, and internal tooling - Implement OAuth 2.0 flows, secure credential management, and compliance-aware data handling across all integration points - Own cloud infrastructure using Infrastructure as Code (AWS CDK, Serverless Framework) — you deploy what you build - Gather requirements directly from stakeholders, push back when the ask doesn't match the real problem, and write up recommendations when you identify a better approach - Follow up after launch — confirm features are being used, measure whether they achieved their goal, and iterate based on real feedback - Contribute to team growth by helping peers troubleshoot, sharing technical knowledge, and participating in AI Accelerator discussions What Sets You Apart - You own deliverables end-to-end — from understanding the problem through architecture, implementation, deployment, validation, and iteration. No one needs to check on you - 3+ years of experience building and shipping web applications or platform services - Proficiency in TypeScript and Python, with experience in React/Next.js for frontend and FastAPI or similar for backend services - Working knowledge of AWS services (Lambda, API Gateway, DynamoDB, Secrets Manager, or equivalent) and experience with Docker and containerized workflows - Experience with PostgreSQL and an ORM (Prisma, SQLAlchemy, or similar) - Comfort working with LLM APIs (Anthropic, OpenAI, or similar) — including prompt engineering, evaluating model outputs, and integrating AI capabilities into applications - Familiarity with OAuth 2.0 flows and secure API authentication patterns - Strong written communication — you can write a clear recommendation doc, not just code - Experience with enterprise platform APIs (Salesforce, Workfront, Workday, or similar) preferred - Familiarity with serverless architectures and Infrastructure as Code (AWS CDK, Serverless Framework, Terraform) preferred - Experience using AI-assisted development tools (Claude Code, Cursor, Windsurf, or similar) as a core part of your daily workflow preferred - Background in healthcare, life sciences, or media industries a plus Tools & Environment AI Development: Claude Code, Cursor/Windsurf/Zed | Languages: TypeScript, Python | Frontend: Next.js 14+, React 18+, Tailwind CSS, shadcn/ui | Backend: FastAPI, Next.js API Routes, Serverless Framework | Databases: PostgreSQL (Neon, Supabase), DynamoDB, SQLite | Cloud: AWS (Lambda, API Gateway, Secrets Manager, Step Functions, CDK) | Deployment: Vercel, AWS, Docker | Enterprise APIs: Salesforce, Workfront, Workday, Bizzabo, DocuSign | AI/LLM: Anthropic Claude, OpenAI, Google Gemini Compensation Range: $100,000 – $125,000 per year, depending on qualifications. Eligible for annual company bonus program or commission incentive based on role. The compensation offered to the candidate selected for this position will depend on several factors, including the candidate's educational background, skills, and professional experience. Benefits Overview: We're proud to offer a comprehensive benefits package, including: - Health insurance through Cigna (medical & dental) - Vision coverage through VSP - Pharmacy benefits through OptumRx - FSA, HSA, Dependent Care FSA, and Limited Purpose FSA options - 401(k) and Roth 401(k) with company match - Pet discount program with PetAssure - Norton LifeLock identity theft protection - Employee Assistance Program (EAP) through NYLGBS - Fertility benefits through Progyny - Commuter benefits - Company-paid Short-Term and Long-Term Disability - Voluntary Term Life & AD&D Insurance, plus Universal Life Insurance options - Supplemental Aflac coverage: Accident, Critical Illness, and Hospital Indemnity - Discounts and rewards through BenefitHub #LI-Remote MJH Life Sciences provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. All employees of MJH Life Sciences are employed “At Will.” This means that either the employee or the Company is free to end the employment relationship at any time, for any reason, with or without cause and with or without notice.

• Build and ship full-stack features across the product as you ramp up on the platform • Develop a thorough understanding of our systems, data models, and business logic • Identify high-leverage automation opportunities as you learn how the platform works • Design and build AI agents and automated workflows using modern AI tooling • Integrate LLMs into product workflows in ways that are reliable and production-safe • Evaluate, iterate, and improve AI systems based on real-world performance • Collaborate with product and engineering to solve user-facing problems • Help define what effective, responsible AI engineering looks like at our company

This is a remote position. We’re looking for a systems-minded AI Engineer to lead the development of intelligent internal tools and agents at My Amazon Guy. This role is focused on building production-grade AI automations that improve our team’s efficiency from SOP lookups to task automation and internal communications. If you’re experienced with LLMs, APIs, and building real-world AI workflows, this role is for you. About My Amazon Guy My Amazon Guy is a growing digital marketing agency with more than 500 employees and clients! We are engaging, rewarding, and innovative. Our company’s goal is to grow sales while giving our clients the peace of mind that everything on Amazon is taken care of. Key Responsibilities - Design and build scalable, production-ready AI Agents that integrate seamlessly into My Amazon Guy’s internal workflows - Leverage OpenAI’s GPT-4 and Assistants API to create intelligent agents capable of executing tasks, retrieving information, and interacting with users in real time - Develop Retrieval-Augmented Generation (RAG) pipelines that pull knowledge from internal SOPs (stored in BookStack) and client data, embedding them into vector databases like Chroma or Pinecone for fast and relevant retrieval - Automate critical business actions through smart, multi-step workflows that interface with the Slack API (for team messages and DMs), Asana API (for task creation and tracking), and Gmail API (for email generation and updates) - Create REST APIs that allow internal platforms (such as MAG Source) to access AI agent capabilities like SOP lookups, automated task generation, and agent status reporting - Work closely with our backend (.NET) and frontend (Angular) developers to embed agents directly into our internal tools, enabling real-time productivity support - Translate SOPs and structured data from Markdown or HTML into usable formats for AI agents via a custom ingestion pipeline - Implement and document function-calling logic for multi-step behaviors (e.g., "retrieve SOP → create task → send Slack message") - Build modular, testable AI systems that are auditable, reliable, and repeatable—ensuring transparency and control in agent decision-making - Regularly monitor agent performance, identify inefficiencies, and iterate quickly to optimize responses and workflows - Stay ahead of AI trends and bring innovative ideas to future internal tools, including possible expansions into SOP enforcement, ChatOps, or autonomous scheduling Requirements - At least 2 years of experience in AI engineering or backend LLM development - Strong proficiency in Python (FastAPI, Flask, or similar frameworks) - Hands-on experience with LangChain or OpenAI Function Calling / Assistants API - Proven track record of deploying production-grade AI agents or workflows - Familiarity with vector databases such as Chroma, Pinecone, or Weaviate - Comfortable working with APIs and webhooks (Slack, Asana, Gmail, etc.) - Understanding of RAG pipelines and methods for reducing hallucinations - Ability to think in systems: scalable, repeatable, and testable architecture - Excellent communication and documentation skills - Experience working remotely and cross-functionally with product, engineering, and operations teams - A dual-monitor setup is required (at least 8GB of RAM) - Must have at least 25 MBPS internet speed Benefits - 40 hours a week, 8 hours a day - Competitive salary base - Permanent WFH setup - Unlimited FREE access to MAG School courses and SOP Library! - Work schedule is in EST (Monday-Friday only) - Opportunities for professional development and career advancement