Senior / Staff Platform Engineer (AWS · Infrastructure · Distributed System)

🏢 Summary: End-to-end full-stack engineering role focused on building and operating a protocol for structured, verifiable multi-party agreements and programmable payments. You will design, ship, and maintain production systems across frontend, backend, and AWS infrastructure with full ownership and accountability. The role emphasizes distributed systems correctness, stateful event-driven architectures, and serverless cloud infrastructure. 🗂️ Requirements: 7+ years building and shipping production full-stack systems, Strong backend expertise in Node.js and TypeScript, Strong frontend development experience with React, Deep understanding of distributed systems concepts, Experience building stateful, event-driven systems, Hands-on production experience with AWS and serverless architectures, Experience with Infrastructure as Code using AWS SAM or CloudFormation, Strong PostgreSQL experience including schema design and performance tuning, Experience designing for idempotency, auditability, and deterministic execution, Ability to debug and stabilize production systems end-to-end, Strong knowledge of observability, monitoring, and incident response, Experience making architectural decisions around security, reliability, and cost, Ability to own features end-to-end from design to production 📃 Skills: Node.js, TypeScript, React, AWS, Lambda, APIGateway, SQS, SNS, EventBridge, IAM, CloudWatch, RDS, SAM, CloudFormation, PostgreSQL, SQL, Serverless, DistributedSystems, EventDriven, Idempotency, Observability, Monitoring, Logging, Alerting, Concurrency, Consistency, Security, LLMs, API 🏢 Description: About Blue Language Labs Every generation gets one protocol moment. TCP/IP. SMTP. HTTP. A small team writes the spec, ships the first implementation, and fifteen years later the entire world runs on it without knowing who built it. We’re at that moment for economic coordination. AI agents are being deployed everywhere, right now — negotiating, committing, paying, settling on behalf of every company that wants to stay competitive. In a few years there will be billions of them. The problem: there is no protocol for what happens between them. An agent can be smart. It cannot be governed. It can pay. It cannot make a payment conditional on something that actually happened. Agents from different organizations can talk. They cannot safely coordinate across company boundaries. Nobody has built that layer. We’re building it. Blue is a protocol for structured, verifiable, multi-party agreements that execute deterministically, leave an immutable audit trail, and run on existing financial rails. Smart contracts without blockchain. Governance without a platform. Trust without a middleman. PayNotes — programmable payments with conditional capture, milestone releases, automatic refunds, and partner settlement. Logic embedded directly into money movement. MyOS — orchestration layer for merchants and agents. Agentic workflows and cross-platform trust, without touching the protocol directly. The Role You will own features end-to-end — from the React component a merchant clicks to the Lambda function that settles their transaction to the AWS infrastructure that keeps it all standing. No handoffs between "front" and "back". No waiting for someone else to unblock you. This is a high-trust, high-autonomy role. You'll work directly with the founding team, your decisions will ship to production fast, and yes — you'll be on the hook when something breaks. What you get? Competitive B2B compensation based on experience Equity — own a piece of what you build Fully remote work in an async-first environment Direct collaboration with the founding team High autonomy and fast decision-making Small team, outsized impact Work on technology that is genuinely novel End-to-end ownership across product, systems, and production Protocols don’t get built by committees. They get built by small teams who understood the problem before anyone else did. What You'll Do Design and ship full-stack features across payments, document workflows, and agent orchestration Build and maintain stateful systems that demand idempotency, auditability, and safe retry logic Own AWS infrastructure — architecture decisions, serverless systems, IaC (SAM / CloudFormation), monitoring, cost, and security Work with PostgreSQL-backed services and event-driven components Use modern AI tooling (LLMs and coding agents) to accelerate development and experimentation Requirements We're not looking for someone to fill a seat. We're looking for an engineer who gets it — who sees a distributed system and immediately starts asking the right questions about state, consistency, and failure modes. Someone who ships and takes pride in what they ship. 7+ years of experience building and shipping production systems as a full-stack engineer Strong backend expertise in Node.js and TypeScript — not just building APIs, but designing systems that stay correct under load and failure Strong frontend skills with React , including the ability to build polished, production-ready product interfaces without depending on a separate frontend team Solid understanding of distributed systems : consistency, state transitions, concurrency, retries, failure handling, and eventual consistency trade-offs Proven experience building stateful, event-driven systems where correctness matters Hands-on experience with AWS in production, especially Lambda , API Gateway, SQS/SNS, EventBridge, IAM, CloudWatch, RDS, and serverless architecture patterns Strong experience with Infrastructure as Code , ideally AWS SAM and CloudFormation Strong PostgreSQL skills, including schema design, transactions, indexing, migrations, and performance tuning Experience designing systems with idempotency, auditability, and deterministic execution built in from the start Ability to debug and stabilize production systems end-to-end — across application code, infrastructure, data, and runtime behavior Strong grasp of observability , monitoring, logging, alerting, and incident response Good judgment around security, reliability, and cloud cost , with the ability to make pragmatic architectural trade-offs Ability and willingness to own features end-to-end — from product shaping to implementation, deployment, and post-release accountability Comfortable operating in a high-trust, high-autonomy environment with very little hand-holding Strong product and engineering judgment — you ask the right questions early, and you do not need heavy process to move fast responsibly Comfortable using LLMs, coding agents, and modern AI tooling as part of your development workflow Fluent English and Polish, written and spoken Nice to have Experience in payments, fintech, ledgering, settlement, or transactional systems Experience with document workflows , approvals, or multi-party business processes Experience working on systems of record or products with strict audit/compliance expectations Experience at an early-stage startup or in a small, high-talent engineering team Experience building products where reliability and system correctness matter more than shipping surface-level features A process that is practical, clear, and respectful of your time We keep the sequence focused so both sides can understand fit, technical quality, and the shape of the work. Introductory conversation - Up to 60 minutes - A practical conversation about your background, the kind of work you want to do next, and the context behind the role. Take-home assignment - No live coding - We prefer to evaluate technical ability through a realistic take-home task that gives you time to think and show the quality of your approach. Technical interview - Up to 90 minutes - A deeper discussion with a technical leader or senior team member about your experience, engineering judgment, and approach to the assignment. Final review - Clear feedback and a timely decision - We gather feedback, review the process carefully, and aim to communicate clearly throughout.

🏢 Summary: Development role in a fast-growing AI meeting platform focused on building and scaling real-time audio/video processing systems and distributed backend services. The position involves working across mobile, desktop, and Chrome applications using modern cloud infrastructure and LLM-based tools. The role emphasizes hands-on engineering, system design, and autonomy in a startup environment. 🗂️ Requirements: Experience designing distributed systems, Practical experience with AWS services, Proficiency in Node.js, Experience with backend development, Experience with AI coding tools, Knowledge of TDD, Ability to work independently, Experience working with large-scale systems 📃 Skills: Node.js, AWS, Kafka, MongoDB, ElasticSearch, Terraform, Claude, Cursor 🏢 Description: About Bluedot Bluedot is an AI meeting platform used by over 100,000 companies, including The New York Times, Ajax, Jooble, Etsy and many others. We’re a profitable , fast-growing business backed by Google, OnDeck and strong angels - but importantly, we operate entirely on our own revenue . No burn rate. No dependency on fundraising. Our growth is stable and fully funded by the product itself. We build across Mobile, Desktop, and Chrome apps , focusing on real-time audio/video processing, large-scale distributed systems, and cutting-edge LLM features. Our tech stack Tech Stack Languages: Node.js Backend: AWS, Kafka, MongoDB, ElasticSearch, Terraform, AI Tools: Claude Code, Cursor About you Hands on builder who loves working in a startup environment We are language agnostic, but you proficiency in Node.js would be an advantage. Practical experience designing and implementing distributed systems leveraging AWS services. You care about design, passionate about TDD and can work independently. You’re an open-minded self-learner who actively tries to understand what’s happening around you. Already have experience working with AI coding tool like Claude Code, Cursor, etc Comfortable transitioning between different contexts and codebases, enabling you to jump in and rapidly unblock teammates facing thorny obstacles What we offer Competitive salary + equity in the company. Remote or hybrid options available at WeWork offices. Minimal meetings, fully asynchronous culture, full autonomy Paid vacation, sick leave and days off. Will work with a modern tech stack and the latest LLM systems.

🏢 Summary: Development and ownership of a desktop application layer that captures and processes real-time meeting audio across Zoom, Teams, Meet, and Slack without bots, working close to the operating system on Windows and macOS. The role focuses on improving audio quality, performance, and native capabilities while ensuring high reliability of the recorder. You will independently ship production-grade features impacting users directly. 🗂️ Requirements: Strong C++ experience, Production experience with Windows media stack, Experience with real-time audio processing, Experience with WebRTC, Ability to work with system-level audio capture and OS permissions, Experience shipping desktop applications, Ability to work independently and own features end-to-end 📃 Skills: C++, WebRTC, Windows, macOS, ScreenCaptureKit, CoreAudio, Node.js, Electron, AWS, Kafka, MongoDB, ElasticSearch, Terraform 🏢 Description: About Bluedot Bluedot is an AI meeting platform used by over 100,000 companies, including The New York Times, Ajax, Jooble, Etsy and many others. We’re a profitable , fast-growing business backed by Google, OnDeck and strong angels — but importantly, we operate entirely on our own revenue . No burn rate. No dependency on fundraising. Our growth is stable and fully funded by the product itself. We build across Mobile, Desktop, and Chrome apps , focusing on real-time audio/video processing, large-scale distributed systems, and modern LLM features. Why we need you The key part of our product is a desktop app that captures meetings on Zoom, Teams, Meet, and Slack without a bot joining the call. That means working close to the operating system: capturing system audio, handling permissions, managing processes, and keeping everything stable across Windows and macOS. This is the part of the product users feel every day. If the recorder fails, nothing else matters. We need someone who can own this layer end to end and push it forward — better audio quality, support for more platforms, lower resource usage, and new native capabilities we haven’t shipped yet. You’ll work directly with the founders and CTO. No layers, no tickets pushed down a chain. You ship, users feel it within days. About you Strong C++, shipped to production Windows media stack Real-time audio experience Experience with WebRTC Bonus: macOS (ScreenCaptureKit, Core Audio) You ship independently Technologies Technologies: Node.js, Electron Infrastructure: AWS, Kafka, MongoDB, ElasticSearch, Terraform, AI Tools: Claude Code, Cursor What we offer Competitive salary + equity in the company. Remote or hybrid options available at WeWork offices. Minimal meetings, fully asynchronous culture, full autonomy Paid vacation, sick leave and days off. Will work with a modern tech stack and the latest LLM systems.

🏢 Summary: The offer is for a Cloud/DevOps Engineer working on a media-sector project focused on building and maintaining scalable, cloud-native environments for high-traffic digital platforms. The role involves designing AWS-based infrastructure, managing Kubernetes clusters, and automating deployments using Terraform and CI/CD pipelines. You will work on reliable, performance-oriented systems with infrastructure defined as code. 🗂️ Requirements: Strong knowledge of AWS, Hands-on experience with Terraform, Experience with Kubernetes, Knowledge of Helm, Experience with secrets management, Experience with load balancer controllers, Managing Kubernetes deployments, Shell scripting skills, Experience with CI/CD pipelines, Experience with infrastructure automation, Ability to design and deliver complete cloud environments independently 📃 Skills: AWS, Terraform, Kubernetes, Helm, Shell, CICD, GitLab, TerraformEnterprise, Dynatrace, Datadog, Automation, Secrets, LoadBalancers 🏢 Description: 🔵 BlueSoft is an innovative software house belonging to the Orange Group. We were established in 2002 and currently, over 1000 engineers work with us! We have extensive experience in various industries. Our clients include companies from the financial, pharmaceutical, retail, banking, transport, and logistics sectors. From simple support to complex digital transformations – we effectively address technical and business needs by using almost 200 advanced technologies. Project description: You will join a project for a client from the media sector, focused on building and maintaining scalable cloud environments supporting digital platforms and content delivery. The team works on modern, cloud-native solutions with a strong emphasis on automation, reliability and performance. The environment is based on AWS and Kubernetes, with infrastructure managed as code (Terraform) and CI/CD pipelines enabling fast and safe deployments. The project involves close collaboration with international teams and offers the opportunity to work on high-traffic systems used by end users at scale. Responsibilities: designing, building and managing multiple AWS-based environments, developing Terraform modules, automating deployments, investigating problems with Kubernetes clusters and workloads. Must have skills: ​ working knowledge and best practices in : Terraform, Kubernetes (helm, secrets management, different LB controllers, managing deployments), AWS, shell-scripting, substantial experience with CICD and automation, communicative English experience in working independently and delivering complete environments based on business requirements, preferably in international teams. Nice to have skills: GitLab, Terraform Enterprise, Dynatrace, DataDog. We offer: 👨‍💻 Work in a team of interdisciplinary experts and technology enthusiasts, inspired by working in a flat hierarchy; 📈 Permanent full-time cooperation in an extraordinary company, which has been growing dynamically for 20 years; 🚀 Possibility of development in various IT projects realized for well-known and recognizable clients – leaders in their industries; 🥇 The ability to work with the latest technologies and the highest standards of development; ⌚️ Flexible working hours and a hybrid or fully remote working model (different arrangements apply in different teams, we do not impose any options); ☁ A number of initiatives supporting knowledge sharing and development, such as: internal training, thematic guilds, Cloud training and certification opportunities (technology partnerships in four clouds); 📣 Possibility to learn English or German online and English lessons for teams; 🏋️‍♂️ Multisport card and medical insurance; ⛵️ Sea adventures co-financed by company – we regularly sail in the Caribbean, Mediterranean or North Sea. Recruitment process: 4 steps 👣: 1️⃣ Phone call 2️⃣ Meeting with manager and expert(online) 3️⃣ Substantive feedback 4️⃣ Welcome on board 🤸‍♀⛹‍♀🤾 !

🏢 Summary: End-to-end software engineering role focused on building and shipping high-quality product features across frontend and backend in a fast-moving, autonomous team. The position emphasizes pixel-perfect UI/UX, strong architectural thinking, and full ownership from design to deployment. Engineers operate with high trust and direct impact on a learning and research-focused product. 🗂️ Requirements: Expert-level software engineering experience, Strong proficiency in TypeScript, Experience with SvelteKit for frontend development, Experience with Node.js for backend development, Experience with Fastify, Experience with PostgreSQL, Experience with DDD patterns, Experience with CQRS patterns, Experience with Playwright for testing, Ability to build pixel-perfect UI implementations, Ability to design and ship end-to-end features across frontend and backend, Experience working with queues, Basic proficiency in Python for ML components 📃 Skills: TypeScript, SvelteKit, Tailwind, DaisyUI, Playwright, Node.js, Fastify, PostgreSQL, Python, DDD, CQRS, Queues 🏢 Description: ABOUT THE ROLE We're looking for an expert software engineer with an exceptional eye for UI/UX to join a small, high-trust engineering team. You'll own features end-to-end — from pixel-perfect frontend work to shipping backend functionality when needed. This is not a siloed role. You'll move fast, make real decisions, and have direct impact on a product used by people who care deeply about learning and research. We don't have managers. We have engineers who own their work. TECH STACK The stack is heavily TypeScript. On the frontend: SvelteKit, Tailwind, DaisyUI, and Playwright, with DDD and CQRS patterns. On the backend: Node.js, Fastify, PostgreSQL, and queues. ML components are in Python. The stack is pragmatic, not dogmatic — tools may shift as the product evolves. WHAT WE LOOK FOR Elite communication You set accurate expectations and live up to them. No surprises, no ambiguity about status or blockers. Deep resilience Bugs, crises, tough reviews — you have a large buffer before stress impacts your output. You don't crack under pressure. No ego We're here to build something great, not to manage insecurities. The best idea wins, regardless of who had it. Product mastery You understand the engineering principles behind the best software ever made — and care deeply about the difference between good and great. Independent and obsessive by nature You go deep on everything you touch. You're a lifelong learner who can't help but care about quality. Being an ex-founder is a bonus. ENGINEERING CULTURE Optional code reviews We trust you. Merge when you're ready. Ask for a second pair of eyes when you want one. Radical autonomy We don't second-guess your decisions. You own the call. High-bandwidth collaboration Constant communication means everyone has context without formal gates or status meetings. Direct feedback Code reviews are blunt, concise, and respectful. We say what we mean. Ruthless efficiency We aggressively adopt any tool — AI included — that increases speed and leverage. Limited frontend test coverage Supplemented by strong architecture and top talent, not bureaucratic QA processes. RECRUITMENT PROCESS Recruiter screening — a short intro call to align on basics. 1-on-1 with the engineering lead — a conversation about how you think and work. Technical challenge (~4 hours) — use AI, Google, or any resource you need. We care about the result, not the method. One-month paid contract — with the possibility to extend indefinitely. Honest, frequent feedback throughout so you always know where you stand. COMPENSATION & BENEFITS Salary $100,000 – $150,000 depending on experience. Equity and profit share Core team members receive both equity and profit share as part of the compensation package. Unlimited PTO Use your own judgement — we won't count days. Steep learning curve You'll grow faster here than almost anywhere else — by design, not accident. Real ownership No managers capping your authority. You own your work end-to-end, with the full trust of the team behind you.

🏢 Summary: Backend-heavy Fullstack Engineer role focused on building and scaling a cyber risk reporting platform used by US MSPs. The position centers on designing and owning Node/NestJS backend systems, including integrations, job queues, and data modeling, within a fast-paced product environment. You will work closely with a small, autonomous team shipping features every sprint using AI-assisted development tools. 🗂️ Requirements: Minimum 2 years commercial backend experience in Node.js or NestJS, Production experience designing schemas and writing database migrations, Hands-on experience building and debugging job queues, Experience integrating third-party APIs on the backend, Solid knowledge of TypeScript, Working experience with React, Practical experience with PostgreSQL, Practical experience with Redis, Experience using Docker, Use of AI development tools, Fluent English, Availability to work evening hours aligned with US (UTC-6) team 📃 Skills: Node.js, NestJS, TypeScript, React, PostgreSQL, Redis, Docker, BullMQ, TypeORM, Auth0, Swagger, Express, Fastify, ConnectWise, Autotask, Kaseya, Microsoft365, GoogleWorkspace 🏢 Description: We're The Digital Bunch, a cross-disciplinary digital consultancy with offices in Warsaw, Riyadh, Sydney, and London. We combine strategy, design, and technology to help companies grow. Software development is one of our core verticals, and we embed with product companies long-term as part of their engineering teams. This role is for our work on a cyber risk reporting platform. The product scans networks, endpoints, and cloud environments (Microsoft 365, Google Workspace), checks breach databases, and generates risk reports with an AI layer on top for analysis and recommendations. The reports are sold to MSPs in the US who use them to show clients where they stand on security. It's cyber tooling, nothing else. The platform has been live for 5+ years, was acquired last year by a larger company (100+ people), and is actively growing. New features ship every sprint. The codebase is mature but moves fast. You'd join a small team on our side: our CTO and one other developer. On the client side in Dallas there's a PM, QA, support, and two engineers, plus people from the parent company who rotate in when needed. Flat setup, a lot of independence. We write code with Cursor and Claude Code every day. Not as a gimmick, that's how we actually work. If you're already using AI tooling, good. If not, you'll pick it up in the first week. ⚠️ Read this first, this is a backend-heavy role Most of the interesting work lives on the server: job queues, third-party integrations, data modeling, async scans, report generation. The frontend matters, but it's not where you'll spend most of your time. If your experience is mostly React with some REST calls, this isn't the right role. We need someone who's actually built and owned Node/NestJS backends in production, schemas, queues, integrations, migrations, the whole thing. We're happy to consider someone with ~2 years of experience if those two years are genuinely backend-heavy. We're not happy to consider 6 years of frontend with a skills-list backend section. ⏰ Working hours, read this too The client team is in Dallas, Texas (UTC-6). You need to be available in the evenings: - Daily standups happen between 19:00–21:00 Polish time, 30–45 minutes - Monday planning runs at 23:00 Polish time - The rest of the day is yours. Most people work something like 12:00–20:00 or 14:00–21:00 - No weekends, no on-call If you can't do evenings, this isn't the right fit. Wanted to be upfront about that. 📌 The work You'll ship features across the full stack, weighted toward the backend: NestJS on the server, PostgreSQL and Redis underneath, React on the frontend. The backend integrates with 15+ external services (breach intelligence APIs, cloud provider APIs, PSA systems like ConnectWise), runs BullMQ job queues, and uses TypeORM and Auth0. There's always something new to wire up. About 10% of your time goes to triaging production issues reported by customers. That's engineering debugging, not answering support tickets. Small team means you have real input into what gets built and how. Nobody's handing you pixel-perfect Jira tickets. We ship behind feature flags, get it in front of users fast, and iterate. If you're the type who spends three weeks perfecting architecture before writing a line of code, this isn't your pace. First-day commits. Our CTO onboards you personally, but we expect you shipping from the start. 👉 What we're looking for - At least 2 years of commercial backend work in Node.js / NestJS (or a close equivalent, Express or Fastify with real production ownership). We'll ask about it. - You've designed schemas, written migrations, debugged queues, and integrated third-party APIs, not just consumed them from a frontend - Solid TypeScript and React. You don't need to be a CSS wizard, you need to be comfortable moving across the stack - Hands-on with PostgreSQL, Redis, Docker - You use AI tools for development (Cursor, Claude Code, Copilot, whatever works for you) - Fluent English, spoken and written. You're on daily video calls with Americans - Actually okay with working late Polish hours (see above) - Self-directed. Nobody assigns you tasks step by step 👍 Bonus points - Worked in cybersecurity, SOC/SIEM tooling, or compliance before - Know your way around BullMQ, TypeORM, Auth0, or Swagger codegen - Built integrations with PSA systems (ConnectWise, Autotask, Kaseya) or MSP-facing tooling - Worked with US-based teams or in product companies 🚫 Probably not for you if - Your CV lists React/Next/Tailwind projects and the backend section is a skills list with no project evidence - You've mostly consumed REST APIs, not built them - Your backend experience is a single side project or a bootcamp module - You want to spend most of your day on UI polish 🎉 What you get - 20,000–26,000 PLN net/month, B2B - Fully remote, or Warsaw office in central Warsaw (dogs welcome) - Long-term product work on a single platform, not project hopping - Latest hardware and tooling - Multisport card - Regular salary reviews - Referral bonuses 💃 Hiring process 1. Intro call with Alex (CTO). 15–30 min. We talk about the role, you ask questions, and we see if it makes sense for both sides. 2. Take-home task. Build a small full-stack app (React + NestJS). The NestJS side carries most of the weight. Capped at 2 hours. Use AI tools, we don't care how you get there, we care that it works and you understand it. 3. Live review. 60 min. You walk us through your code, we ask you to add a feature live (should take minutes with AI, not half an hour), then we talk architecture and how you think about systems. 4. Meet the client team. Short call with the Dallas side before we finalize.

🏢 Summary: Senior AI-native full-stack engineer role focused on building and owning production-grade agentic systems end-to-end, from architecture to deployment and on-call. The position involves developing multi-agent workflows, RAG pipelines, and AI infrastructure, as well as delivering client-facing B2B solutions on top of an internal agent platform. Strong ownership, hands-on LLM production experience, and full-stack execution across frontend, backend, and cloud infrastructure are required. 🗂️ Requirements: 5+ years of production software engineering experience, 1-2+ years building and operating LLM systems in production, Experience deploying agentic systems with real users, Strong full-stack development experience, Hands-on experience with LLM APIs, RAG, prompt engineering, Experience with at least one agentic framework or custom orchestration, Ability to design, ship, and maintain systems end-to-end, Experience with cloud infrastructure and production deployments, Strong written English 📃 Skills: TypeScript, React, Node.js, Python, PostgreSQL, AWS, Anthropic, OpenAI, LangGraph, CrewAI, RAG, LLM, APIs, SQL, VectorDB 🏢 Description: Who we are AgentX is a platform for building and running production AI agents — and a team that ships real systems on top of it for clients who need more than a demo. The platform is the infrastructure: orchestration, memory, tools, evals, deployment — the layer that makes agentic systems actually work in production, not just in a notebook. On top of it, we build end-to-end solutions for our clients. One of the systems running on AgentX today is KsięgoBoty — a multi-agent product used daily by hundreds of Polish accounting firms. Paying customers, production load, real consequences when something breaks. We've also done to ourselves what we build for others: restructured how we work around AI tools, agent-first architectures, and a delivery model that doesn't need a Jira layer between thinking and shipping. This isn't theory — it's how we operate every day. Who we're looking for A senior engineer who owns outcomes, not tasks. This isn't a role for someone who's shipped "an LLM demo at a hackathon." We need someone who has already put agentic systems into production — with real users, real edge cases, real 2am Slack messages when something goes sideways. If you need a PM to translate the problem, a Jira board with three rounds of grooming, and acceptance criteria to tell you what "done" means — this isn't for you, and that's fine. If instead you read a Slack message like "accountants are losing 2 hours a day reconciling this" and your brain immediately jumps to "okay, what does the user actually need, what's the simplest thing that works, and how do we ship it" — keep reading. You'll own problems end-to-end. Frontend, backend, the agent layer, the deploy, the follow-up when a customer hits something weird. You decide what to build, you build it, you ship it, you watch what happens. And you get that this actually matters. On the other end of every feature there's an accountant closing books at 9pm, a firm owner trying to keep their business running. It's not just code. What "AI-native" actually means here Not "I've used ChatGPT." We mean: Claude Code / Cursor / Codex is your IDE , not a plugin you switch on when you feel like it. You know when "accept all" is safe and when it absolutely isn't. You have strong opinions on agent orchestration — when to reach for LangGraph/CrewAI/Agno vs. when to write 50 lines of plain Python that work better. You understand production reality of LLM systems — guardrails, evals, observability, retry logic, cost control, what to do when a model is non-deterministic in a way that breaks your contract with the user. You can tell when a model is the wrong tool and reach for code instead. For you, AI is a tool — not the point. What you'll actually own Agentic systems in production — multi-step workflows, RAG pipelines, agent orchestration. From architecture decision to deployment to the 3am on-call when something drifts. The AgentX platform itself — the primitives, the orchestration layer, the evals, the deployment story. You're building the thing that makes every client engagement faster and more reliable than the last. Full-stack client solutions on top of AgentX — TypeScript/React on the frontend, Python on the backend, integrated with LLM providers (Anthropic, OpenAI, others as they come). Infrastructure that holds up — Postgres, AWS, vector stores, ingestion pipelines, the unsexy layer that makes everything else possible. Quality standards for AI systems — you help us define what "good" looks like. Evals, guardrails, failure modes. Because "mostly right but wrong in scary ways" is not a feature. Our stack TypeScript, React, Node.js, Python, PostgreSQL, AWS, Anthropic + OpenAI APIs, agentic frameworks. You don't need every box ticked — you need to be the kind of specialist who picks up unfamiliar pieces quickly and confidently. What we expect (must-haves) 5+ years shipping production software , at least 1-2 of them with real LLM systems in production — not side projects, not demos Strong full-stack background — you're comfortable owning from frontend to infra, even if your center of gravity is one side AI-native coding workflow — Claude Code, Cursor, Codex, whatever — as your daily driver Hands-on with LLM APIs, RAG, prompt engineering, and at least one agentic framework (or you've built your own orchestration and have opinions on why) Strong written English — you'll communicate with clients, partners, and async teammates Ability to run a project from discovery to delivery with minimal supervision — we'll align on outcomes, you'll figure out how Nice-to-have Experience building B2B SaaS for non-technical users (SMBs, professional services) Voice agents, real-time systems (LiveKit or similar) Accounting / fintech / regulated domain exposure How we work Fast pace, but Monday to Friday. Weekends are yours. We don't do crunch, we don't do fake urgency, we don't do meetings that could've been a message. We'd rather ship steadily for years than sprint for six months and lose you. Direct line to the founder. Direct line to clients. No process layer between you and the work. Small team, real decisions, real ownership. The honest pitch Real ownership of real product areas — not a seat on a feature factory Frontier work — you're building both the platform that makes production agents work and the client systems running on top of it Compensation that reflects seniority — 14 000 – 25 000 PLN netto + VAT (B2B), with room above for someone exceptional Fully paid AI stack — Claude Max, Cursor, whatever you need to work at full speed Remote-first , flexible hours, Poland-based No filler meetings, no Jira bloat — we measure shipped systems in production, not hours logged Push back on the founder when he's wrong. He will be, regularly. How the process works 1. You send us stuff recruitment@agentx.so Your CV — yes, we read them One thing you built end-to-end you're proud of — and what you'd change about it today One AI product (yours or someone else's) you think is genuinely good, and why Your take: a client says our agent is "mostly right but wrong in ways that scare them." What do you do first? 2. We reply within 2-3 days — either "let's talk" or "not this time, here's why." No black hole. 3. We meet — 30-45 min call with the founder. We talk about your work, you ask us hard questions. If the chemistry isn't there, no hard feelings. 4. Problem-solving session (top 2-3 candidates) — we give you a real problem we're working on. You come back with how you'd approach it: your thinking, your trade-offs, your questions. We're not watching over your shoulder. We want to see how you think. 5. Decision within 2-3 days. If yes — you start when you're ready. Tomorrow, next week, after notice period. Your call.

🏢 Summary: Development of LLM-powered applications and data pipelines for a modern insurance platform, integrating multiple data sources in AWS and Snowflake environments. The role focuses on building and improving a domain-specific chatbot using advanced LLM techniques such as RAG, prompt engineering, and feedback loops. It requires close collaboration with cross-functional teams and availability in the PT timezone. 🗂️ Requirements: Commercial experience with TypeScript, Experience building LLM-powered applications, Hands-on experience with AWS, Experience with Snowflake, Experience designing ETL or ELT pipelines, Experience integrating APIs and external data sources, Ability to design data transformations and data-access layers, Fluent English, Availability for meetings in PT timezone 📃 Skills: TypeScript, Snowflake, AWS, LLM, RAG, APIs, ETL, ELT, Chatbots, SQL, Prompting, Evaluation, Orchestration, EventDriven 🏢 Description: We’re Devopsbay - MLOPS, DevOps and AI Specialists. We know how nodes works, how to make the cloud cheaper or adapt AI to boost any area that companies need (any many more). We support our clients with strong engineers on a project basis and are always on the lookout for stellar performers. Our clients are at the cutting edge of modern solutions. We also develop our inhouse products: https://descrb.com/ & https://defencebay.com/ Please note that working within this project means availability for meetings in PT timezone (mainly till 19:00, usually no later than 18:00) and fluent English. About project: It is a modern insurance brokerage and advisory firm that supports fast-growing companies, particularly in the technology, life sciences, and professional services sectors. The organization combines deep risk management expertise with advanced technology and AI-powered tools to deliver more efficient, tailored insurance solutions to its clients. Its mission is to transform the traditional insurance industry, which is often perceived as complex, slow, and not well suited to the needs of modern businesses. Through digital workflows, automation, and a customer-centric approach, the company simplifies insurance processes, accelerates decision-making, and improves transparency across the entire client experience. By partnering with ambitious leaders and innovative organizations, it helps businesses identify, manage, and mitigate risks associated with growth. Beyond providing insurance coverage, the company offers strategic advisory services that enable clients to make confident decisions and scale their businesses with greater security and peace of mind. What you will do : Work with the following technologies and environments: Agentic AI , TypeScript, Snowflake, AWS, LLM-related technologies , data integrations, APIs, ETL/ELT pipelines. Build LLM-powered applications using modern approaches such as retrieval-augmented generation, tool usage, context management, prompt engineering, evaluation, and feedback loops. Work on a chatbot that can learn from user interactions, improve over time, and support users with domain-specific knowledge. Design and implement integrations with multiple internal and external data sources. Prepare reliable data pipelines, transformations, and data-access layers that enable LLM applications to use structured and unstructured data effectively Take ownership of ambiguous problems and drive solutions end-to-end. Communicate with the team, discuss new ideas, and work closely with non-technical users. Work on a dynamic, startup-style project where learning the domain, experimenting, and iterating quickly are important. Nice To Have: Experience with event-driven architectures and workflow orchestration tools. Experience in regulated domains such as insurance, fintech, or healthcare. Familiarity with AWS services and distributed backend infrastructure. Benefits: B2B contract International projects, often at the cutting edge of technology Experienced team - exchange your expertise with other passionate engineers A challenging yet thriving work environment - we push ourselves to be better everyday Modern tech stacks Remote working possibilities Flexible hours

🏢 Summary: Long-term B2B role focused on building, operating, and improving an enterprise-scale Azure cloud platform with strong emphasis on automation, security, and developer experience. The position involves designing CI/CD pipelines, implementing landing zones and policy-as-code, and integrating cloud services with enterprise systems. Work is hybrid (Warsaw office) with occasional business trips and collaboration in an international environment. 🗂️ Requirements: 3+ years of experience with Microsoft Azure including operations, Strong Infrastructure as Code skills, Knowledge of CAF and Enterprise Scale best practices, Understanding of security and compliance standards, Experience with CI/CD pipelines, Experience with DevOps practices, Experience working in Agile methodologies 📃 Skills: Azure, Bicep, Terraform, CI/CD, DevOps, IaC, CAF, Agile, APIs 🏢 Description: Start : Flexible Contract : B2B, long term cooperation Work model : 3 days from the Warsaw office per week Project language: English/Polish Business trips: to Denmark occasionally Recruitment process: case study + 1 meeting You will play a key role in building, operating, and continuously improving our cloud platform and automation capabilities. Your mission is to enable scalable, secure, and compliant cloud adoption through everything-as-code , strong engineering practices, and deep integration between cloud services and existing enterprise systems. A key focus of the role is to continuously improve platform usability and developer experience . We strive to make the platform intuitive, well-documented, and easy to work with – so development teams can focus on delivering business value rather than dealing with complexity. Responsibilities Design, build, and operate the Enterprise Scale Foundation platform and CI/CD pipelines. Improve platform usability, reliability, and developer experience. Implement and manage Landing Zones, guardrails, and policy-as-code. Develop automation using IaC, APIs, and reusable workflows. Build integrations with enterprise systems (e.g., ITSM, identity, data). Ensure security, compliance, and governance standards are met. Collaborate with teams to drive platform improvements and enable self-service. Requirements 3+ years of experience with Microsoft Azure (including operations). Strong Infrastructure as Code (IaC) skills (Bicep, Terraform) Knowledge of CAF / Enterprise Scale best practices. Understanding of security and compliance (preferably financial sector).Experience Experience with CI/CD, DevOps, and Agile methods. Previous experience with Customer Exeprience.

🏢 Summary: The offer is for a Cloud Infrastructure Specialist responsible for ensuring production stability, secure cloud networking, and scalable infrastructure within AWS and Azure environments. The role focuses on hands-on infrastructure as code, observability, and CI/CD optimization while closely collaborating with a development team. It emphasizes autonomy and direct impact on production reliability rather than ticket-based support. 🗂️ Requirements: Proven experience maintaining production-grade environments, Hands-on experience with AWS services (Lambda, API Gateway, DynamoDB, RDS, S3, SNS, SQS, EC2, ECS, WAF, VPC, Route53, ALB/NLB, Cognito, IAM), Hands-on experience with Azure services, Strong practical experience with cloud networking (VPC/VNet, subnetting, routing, peering, NAT, security groups, firewalls), Hands-on experience with Datadog for monitoring, logging, alerting, In-depth commercial experience with AWS and Azure, Proficiency with Terraform or AWS CDK, Experience building and maintaining CI/CD pipelines using GitLab CI/CD, Ability to support automated deployments and infrastructure changes 📃 Skills: AWS, Azure, Terraform, CDK, TypeScript, Datadog, Prometheus, Grafana, Loki, Kubernetes, AKS, Lambda, APIGateway, DynamoDB, S3, SNS, SQS, EC2, ECS, WAF, VPC, Route53, ALB, NLB, Cognito, IAM, RDS, Redshift, BlobStorage, PostgreSQL, GitLabCI, AzureDevOps, RabbitMQ, InfluxDB 🏢 Description: You will join a substantial project as a key infrastructure specialist. You won't be managing a ticket queue; instead, you will partner directly with a mid-sized team of developers (~15 people) to ensure system stability and scalability. We are looking for someone who acts independently and is ready to ensure production reliability and secure cloud network configuration. Our Tech Stack You are not expected to know everything upfront, but this is the environment you will work with: IaC: Terraform, AWS CDK (TypeScript) Clouds: AWS & Azure Observability: Datadog, Prometheus, Grafana, Loki Core Azure: Kubernetes (AKS), Blob Storage, PostgreSQL Core AWS: Lambda, API Gateway, DynamoDB, S3, SNS, SQS, EC2, WAF, VPC CI/CD: GitLab CI, Azure DevOps Other: RabbitMQ, InfluxDB, Renovate Requirements: Production Experience: proven track record of configuring and maintaining production-grade environments. Hands-on experience with AWS (Lambda, API Gateway, DynamoDB, Redshift, RDS, S3, SNS, SQS, EC2, ECS, WAF, VPC, Route53, ALB/NLB, Cognito, IaM) Hands-on experience with Azure. Observability & monitoring: hands‑on experience with Datadog for monitoring, logging, alerting and performance analysis in production environments. Cloud Networking: strong practical experience in configuring Cloud Networks (VPC/VNet, Subnetting, Routing, Peering, NAT Gateways, Security Groups/Firewalls). Cloud Expertise: in-depth knowledge and commercial experience with Azure and AWS. Tooling: proficiency with Terraform or AWS CDK. Practical experience in building and maintaining CI/CD pipelines using GitLab CI/CD, supporting automated deployments and infrastructure changes. High autonomy and ability to communicate technical concepts to a cross-functional team. Nice to have: Experience with TypeScript , especially in AWS CDK or serverless applications. Main responsibilities: Production Stability: Maintain high availability and security of production environments. Cloud Networking: Configure and manage VPCs/VNets, subnets, routing tables, peering, and network isolation. Infrastructure as Code: Provision and manage resources using Terraform or AWS CDK. Developer Support: Optimize CI/CD pipelines and assist developers in understanding infrastructure constraints. Observability: Maintain monitoring stacks to ensure full system visibility.