Ask HN: Who wants to be hired? (November 2026)
Share your information if you are looking for work. Please use this format:
Location:
Remote:
Willing to relocate:
Technologies:
Résumé/CV:
Email:
Please only post if you are personally looking for work. Agencies, recruiters, job boards,
and so on, are off topic here.Readers: please only email these addresses to discuss work opportunities.
Searchers: try https://nthesis.ai/public/hn-wants-to-be-hired, https://www.wantstobehired.com.
295 comments
[ 0.20 ms ] story [ 45.9 ms ] threadRemote: Yes
Willing to relocate: No
Email: logandark@logandark.net
Self-taught software engineer with over 10 years of experience. Proficient in Rust, TypeScript, Python but have used many, many more. Some embedded, desktop, lots of web. Frontend and backend.
I've done UI/UX design work in Sketch, Figma, Adobe XD before it was cool. I prefer to design in code.
Rust is my favorite and most proficient language by far. TypeScript is probably the next best. I try to avoid Python but I have extensive experience with it. Been trying to get into Haskell but still not productive in it.
Looking for full-time salaried or hourly gigs, first come first serve, Frontend SWE or Full-stack. Not task-based or for AI training. I can interview and start immediately for a fit.
Automations will not receive a reply.
https://github.com/LoganDark
Remote: Yes
Willing to relocate: No
Technologies: TypeScript, React, React Native, Node.js, Swift, Mixpanel, Zapier, Google Analytics.
Résumé/CV: https://drive.proton.me/urls/SY0VQ2GZ9W#IJ2BUfTzGPZv
Email: simplisticated.software@gmail.com
Senior Full-Stack Engineer / Tech Lead - looking for a remote opportunity
I'm a product-minded Senior Software Engineer with 15+ years of experience across full-stack web, mobile, and product growth. My main stack is TypeScript, React, Node.js, with additional experience in Swift and React Native. I've led engineering teams and enjoy owning problems end-to-end, from architecture and implementation to deployment and growth experiments.
From 2021–2024, I was a Lead Growth Engineer at Community Phone (https://communityphone.org), where I led a cross-functional engineering team and helped drive a 6x increase in conversion rates and a 50% reduction in customer churn through product experimentation and analytics.
I'm currently building AminoStudio (https://aminostudio.online), a B2B product I designed and implemented from scratch for analyzing laboratory amino-acid profiles of protein raw materials. I also maintain 60+ open-source repositories and have built and launched multiple products independently.
I'm looking for a Senior Full-Stack Engineer or Tech Lead role, preferably remote, at a product company where engineers have substantial ownership.
Location: Czechia (EU, CET)
Remote: Yes (EU/EMEA, open to B2B contracts)
Willing to relocate: No
Technologies: TypeScript, Node.js, React, Go, PostgreSQL, Docker, Kubernetes, Ansible, OpenTofu, GitHub Actions
Résumé/CV: https://unbeholden.dev/cv.pdf
Email: jakub@kot.lt
Software engineer with eight years of experience at remote startups. I've built products from scratch, led a team of eight engineers, and owned architecture, infrastructure, deployments, and production operations.
Most recently, I led engineering for a Bitcoin commerce platform supporting five payment methods, including Lightning. Previously, I built real-time messaging products at Momence and helped launch Crave Delivery at OAK'S LAB.
Outside of commercial work, I build open-source Bitcoin and Lightning tools, maintain self-hosted infrastructure using Ansible, OpenTofu, and Kubernetes, and develop agent tooling, including a multi-agent PR reviewer with isolated development environments.
Looking for a Senior, Staff, Platform, or Founding Engineer role with substantial technical ownership. Available immediately.
GitHub: https://github.com/unbeholdendev
Blog: https://unbeholden.dev
LinkedIn: https://www.linkedin.com/in/jakubkot/
Remote: Yes (100% Remote only)
Willing to relocate: No
Role: AI Systems Architect | Human-AI Tandem Operator (System Topology, Specification & Logic Design)
Technologies: LLM Context Architecture, Invariant Modeling, Deterministic Serialization, State-Machine Orchestration, Inference Forensics (Target runtimes: Python, Rust, vLLM, llama.cpp)
Résumé/CV: https://github.com/Recursive-Logic-Core (Full CV upon request via email)
Email: arch_mmm@proton.me
I operate strictly as a calibrated Human-AI Tandem at the structural and invariant level: AI engines handle syntax generation, code implementation, and blind reverse-auditing, while I direct system topology, causal logic, and boundary verification against the 7 core transformer failure modes:
1. Lost-in-the-Middle (Attention Decay)
2. Stochastic Drift (Absent State Invariance)
3. Confidence-Accuracy Decoupling (Hallucinations)
4. Context Window Saturation (State Loss)
5. Needle-in-a-Haystack (Retrieval Failure)
6. Sycophancy (RLHF Alignment Bias)
7. Control-Data Conflation (Prompt Injection)
Key Artifacts & Open-Source Forensics:
- SLAP: Deterministic, bracketless tree serialization in O(N) single-pass (>50% token payload reduction vs. JSON) -> https://github.com/Recursive-Logic-Core/SLAP
- DriftBreak: Local context governor mitigating state and context drift on localhost -> https://github.com/Recursive-Logic-Core/DriftBreak
- Context Architecture: Structural mitigation frameworks for all 7 LLM failure modes -> https://github.com/Recursive-Logic-Core/llm-context-architec...
- System Forensics: Public root-cause isolation in production runtimes (vLLM & llama.cpp: recurrent state drift, ROCm/CUDA memory fragmentation, FSM token loops) -> https://github.com/Recursive-Logic-Core/system-analysis
Terms: Full-time employment (German contract or via Employer of Record / EoR)
Languages: German (native), English (fluent written, async-first)
Notice Period: 2 months to end of month
Remote: Yes
Willing to relocate: Yes (New York or anywhere in North America; also Berlin, Prague)
Technologies: Python (asyncio, FastAPI, Celery), TypeScript, Vue/Nuxt, PostgreSQL + pgvector, Claude and Gemini, agents and MCP servers, GCP Cloud Run, AWS, Docker
Résumé/CV: https://yussieik.com/cv.pdf
Email: yussieik@gmail.com
Forward deployed AI engineer. I sit with the people who do the work, find what eats their week, and ship AI and automation their own staff use. Since July, at a group-travel company: 16 internal tools in 12 weeks, now on a monthly retainer. Alongside that, ClinicLog: practice software for therapists that I build alone (web, iOS, Android), live in Israel and the US.
Case studies, with the sources behind each number: https://yussieik.com/work/
Looking for forward deployed, AI engineer or founding engineer roles.
Most notably: owner of the lab's AI video engine — started at ~60 min and $2.00 per clip, rebuilt the engine and its reliability layer, got it to ~10 min and $0.80. Marketers and creators ran it on their own: 350+ clips, 1.8M+ organic views. Cut the lab's AI spend by ~$12K/month by switching to cheaper models and our own rendering.
And a browser agent in the Chrome Web Store; I designed its agent architecture, and evals too.
Looking for: AI/LLM engineer role.
Living in Claude Code and Codex.
Full-time / contract / EOR / anything in between. Open to equity. Available now.
Location: Yerevan, Armenia (UTC+4)
Remote: Yes
Willing to relocate: Yes
Technologies: Python, TypeScript, LLMs, AI agents, LangGraph, LangChain, PostgreSQL, React, MCP, RAG
Résumé/CV: https://wyddy.tech/makeev-daniil-cv-en.pdf
Email: wyddy.work@gmail.com
Book a call: https://cal.com/makeev/call
Remote: Preferred
Willing to relocate: Maybe
Expert backend developer primarily focused on data engineering, mission critical/low latency/highly available systems, and AWS (certs: https://www.credly.com/users/jon-north.ad78f0c8). Happy to deal with greenfield or legacy or any mix of the two. I learn new things extremely quickly.
I prefer long term contract work, though I’ll help you with smaller things as well. W2 employment is a possibility if the fit is right.
AI: However you roll is fine. Agentic, just-generative, or write by hand. I’m fine with any of it. The important thing is crushing your goals and building systems that stay up.
Technologies: Python, C/C#/C++, SQL, NoSQL, Go, Golang, Docker, Git, Linux/Windows, Bash, Kafka, Redpanda, PySpark, Spark, AWS, Azure, GCP, Terraform, Kubernetes, Redis, Postgres, MySQL, SQL Server, SAP HANA, LDAP, Active Directory, OAuth2
Resume/CV: www.adiuvat-consulting.com
Email: jon.north@adiuvat-consulting.com
Remote: Yes
Willing to relocate: No
Technologies: Python (httpx, Playwright, FastAPI, pandas), TypeScript/Node.js, PHP, SQL (PostgreSQL/Supabase, SQLite), n8n, Make, Apify SDK, React, React Native (Expo), Google Apps Script
Résumé/CV: https://trungthanhtran.vercel.app/cv
Email: ttrungthanh90@gmail.com
Junior developer looking for part-time contract or freelance work in web data extraction and workflow automation. I prefer calling the JSON API behind a page over scraping the rendered HTML, and I like turning manual spreadsheet work into small tools.
Things I have built:
- Customer loyalty app (React Native + PHP REST API) for a cosmetics retailer, built alone, live on Google Play (my current job since May 2026)
- Apify Actors I wrote (company contact enricher, product price/stock extractor), source: https://github.com/Tthanh2k6/apify-b2b-lead-and-contact-enri...
- Offline browser tools for Vietnamese small businesses (VietQR cashier, debt aging, fleet fuel reconciliation with Excel import): https://tthanh2k6.github.io/vn-sme-offline-tools/
- GitHub: https://github.com/Tthanh2k6
Good fit: scrapers that broke, data pipelines into Sheets/CRM/Postgres, n8n/Make workflows, small internal tools. Happy to start with a small paid task.
I am a Full-Stack Systems & Technical Search Engineer (15+ years experience) with a formal background in Statistics (B.Sc., Universitas Gadjah Mada). I help high-growth SaaS and enterprise platforms bridge bare-metal infrastructure with generative search visibility (AEO/GEO).
Most AEO/GEO efforts fail because they treat LLM discovery as a surface copywriting problem. In reality, generative engines (ChatGPT Search, Perplexity Sonar, Google AI Overviews, Claude) require a continuous 3-tier computational continuum:
1. Tier 1: Upstream Server Infrastructure — Tuning origin Linux/Nginx stacks and edge caches to deliver sub-80ms TTFB. This eliminates Host Load Throttling so AI scrapers (GPTBot, PerplexityBot, ClaudeBot) crawl deep documentation without timeout queues. Tuning database buffer pools (60-70% RAM) and Redis object caches over UNIX sockets to prevent dynamic SSR compute leaks.
2. Tier 2: Web Architecture & Data Ingestion — Eliminating heavy DOM payload bloat (<800 nodes, zero-CLS containment) and sandboxing third-party script hydration via Web Workers. Deploying partitioned XML sitemap indexes, clean /llms.txt streams, and dense, multi-entity JSON-LD graphs (SoftwareApplication, Organization, E-E-A-T triples) formatted directly for LLM RAG pipelines.
3. Tier 3: Downstream On-Page AEO & Telemetry — Structuring semantic token dispersion using deterministic 5W+1H answer blocks and strict topical silos ("1 Pillar, 10 Clusters") to prevent AI summarization drift. Using mathematical variance modeling to objectively quantify prompt share-of-voice and citation shifts.
Available for technical audits, infrastructure sprints, or white-label technical execution partnerships. 100% remote async, zero meeting overhead, W-8BEN compliant (zero US tax/payroll friction).
Feel free to reach out directly at dmr.nurvianto@gmail.com.
Full-Stack & Applied AI Engineer with 3.5+ years of experience (5+ cumulative) building scalable web applications, robust backend architectures, and production AI integrations.
Highlights: - Built Clip Matters: AI video intelligence platform with semantic vector search (Qdrant), background processing, and modern React interface. - Developed Orange Express: High-throughput 14-stage financial state machine with real-time audit logging and payment gateways. - Experienced in building AI-powered bots, real-time messaging, and multi-tenant SaaS.
Experienced working asynchronously with remote teams across the US, UK, EU, and GCC with high responsiveness and clear communication.
Remote: Yes
Willing to relocate: Yes (US)
Technologies: Claude Code, Codex, Google Antigravity, Python, FastAPI, Node/Fastify, JavaScript, React, Postgres/Prisma, Supabase, Redis/BullMQ, Playwright, Docker, Linux, Cloudflare, Moodle
Résumé/CV: github.com/manuelleal (CV on request)
Email: ddiddimmo@gmail.com
I build deployed software by directing a team of AI agents: an architect agent assigns and reviews work, builder agents write specs, code and tests, and independent read-only auditors must approve anything touching money, permissions or keys. Every process error gets logged and numbered. I come from education (teacher trainer, PhD student in Education at UAB), so I can also train non-engineers to use AI well.
- Engrama (engramaingles.com; no-login demo: engramaingles.com/magia): English-learning platform built for institutions. Class game with coins, streaks, store and auctions; adaptive CEFR placement exam plus a Saber 11-style mock (~1,800 items); live Kahoot-style quiz used at a teacher conference in October. FastAPI + Postgres with per-client row-level security and HMAC-signed events; 838 backend and ~974 web tests passing. Self-hosted on Ubuntu, Docker, Coolify, Cloudflare Tunnel and Caddy. The original classroom MVP was used by 97 students. No paying customers yet.
- Helper (private, 136 commits): an unreleased multi-tenant tool I built for SENA instructors on Moodle, which I use with 100+ students: submissions, grading, forum replies, bulk messages, reminders and records. Fastify, BullMQ (15 workers), Redis, Postgres/Prisma, Playwright, React. Claude proposes matches and grades; the instructor approves. It calls Moodle's session AJAX, so one POST returns 147 participants across 3 assignments in 2.7 s versus 2-4 s per page scraped.
- JUACO: artificial-life research run with LLM agents under preregistration, replication and independent audit; 120 agent errors logged; DOI 10.5281/zenodo.23041088. Open method: github.com/manuelleal/juaco-metodo (blind test: the auditor caught 28 of 40 seeded defects).
- Offline AI tutor (my PhD prototype): a small open model on a Linux Chromebook for remote schools; caught 82% of seeded errors in a preregistered blind test, 1.7 s median response on CPU.
- 160+ hours of AI training for teachers.
Looking for: AI automation, AI enablement or agent-built internal tools; contract or full-time.
Remote: Yes
Willing to relocate: Yes
Technologies: Claude Code and coding agents, MCP servers, Cloudflare Workers, Node.js, WordPress, Vercel, GitHub; Pro Tools, Logic, Ableton
LinkedIn: https://linkedin.com/in/juanlentino
Résumé/CV: https://juanlentino.com/resume
Email: juan@juanlentino.com
Operations and AI adoption, ideally in music and audio tech. 15+ years making records in the US and Latin America; founded and ran a recording studio in Buenos Aires. I build with coding agents from written briefs, with tests that must pass before release. Recent: can-i-apply (labels about 500 startup job posts by work-authorization status) and Sealed Record (open-source verifier for signed session records), both at github.com/juanlentino. MBA in Applied AI. English and Spanish. Authorized to work in the US (OPT), no sponsorship needed.
Remote: Yes, remote only
Willing to relocate: No
Technologies: Claude, Codex, React/Next.js, Figma, Gen AI, Adobe CC, Webflow
Résumé/CV: https://mikepiechota.com/
Email: hi@mikepiechota.com
Senior product designer who builds, with ten years in product design and twenty in design overall (brand and visual before that). Most recently the only product designer at MetaRouter, a US data-infrastructure startup: control UI, design system, rebrand and website.
Since then I've designed and shipped two products end to end with Claude Code: Pandough, a dough-planning app (from 0 to 18k users/mo, 13 languages), and Kompmodo v2, a real-estate analysis tool whose owners bought the IP.
Looking for a first or early designer role at a technical US startup, or senior product design / design engineering. Full-time or B2B contract. Available US Eastern mornings and early afternoons.
Remote: Yes. Remote, hybrid, or onsite around the Bay Area are all fine.
Willing to relocate: No
Technologies: Python, C/C++, TypeScript. Zephyr, FreeRTOS, nRF52840, ESP32, Thread, BLE, LoRa, signed OTA, KiCad, some VHDL. MCP servers, agent frameworks, LLM-judged evals, Claude Code. Kubernetes/GKE, Terraform, Cloudflare Workers, OpenTelemetry, Grafana.
Résumé/CV: https://3amon.net/Eamon-White-Resume.pdf
Email: white.eamon@gmail.com
Years of experience: 19
I'm an embedded engineer who spent the last year building AI agents, and I'd like to keep doing both. Most of my career was firmware and real-time work: optical terminals for satellites (bare-metal Cortex-M7, test campaigns at the Naval Research Lab), FPGA and driver work at National Instruments, Linux point-of-sale hardware. This past year I built an SRE on-call agent for an enterprise AI platform. It reads the production alert queue and investigates through policy-gated MCP tools on GKE. I also built the MCP tool router it runs on.
Some things I've built on my own time, with write-ups at https://3amon.net and code at https://github.com/3amon:
- 39 wearable LED rings that keep a shared clock with no leader. nRF52840, Zephyr, OpenThread, signed OTA with rollback, my own carrier PCB, and simulators that gate every release.
- LoRaPeerLink, device-to-device LoRa without LoRaWAN. Built against a channel simulator, then 99.6% delivery over a one hour soak on real SX1262 radios.
- Guard rails for coding agents: fail-closed hooks, scoped MCP servers, and a little tool that shows every agent session running across my machines.
Looking for senior or staff roles in embedded/connectivity (device fleets, OTA, radios) or agent infrastructure (MCP, tool runtimes, agents that touch production). Best case is a team that needs both. Full-time preferred, contract is fine too.
Remote: Yes, 6 years remote/hybrid; US time zones.
Willing to relocate: No
Technologies: Java, TypeScript, JavaScript, Spring Boot, Guice, Express, React, Angular, Express.js, Tailwind, Kafka, RabbitMQ, Cassandra, Python, Kubernetes, Docker, Terraform, Helm, AWS (Lambda, S3), Datadog, Backstage, Playwright, Cypress, JUnit
Résumé/CV: https://philljanowski.com/PhillJanowskiResume.pdf
E mail: philajan <at> pm <dot> me
I'm Phill, a backend-leaning, full stack engineer with 9 years of experience building and operating enterprise SaaS. I'm currently a Senior Site Reliability Engineer and am looking to get back to owning and building products. I have extensive experience planning and leading implementation of large scale features from cloud infrastructure to user interfaces.
What I've done: - Cut permission-check latency 97% (~6s -> ~150ms) on an enterprise-wide authorization service backing every authenticated request across the company, by redesigning resolution over nested group inheritance - Cut cross-datacenter configuration propagation time 92% between AWS legacy VM applications - Built an AI production-review tool on Backstage (TypeScript/React/Express) over an in-house LLM service, surfacing production risk teams can triage in a short meeting
Outside of work I ship projects. Earlier this year I published BookBounce[0], an application I use to keep my son's bedtime stories in constant rotation. I'm currently working on Grain Of Salt[1], a recipe application with version control for iterating on recipes.
I'm looking for a full time position where I can contribute to impactful projects.
[0] https://www.grainofsalt.app/ [1] https://bedtimebookhelper.com/
Remote: yes
Timezone: Flexible [UTC-7, UTC+3]
Willing to relocate: no
Technologies: windows low level development, windows internals, win32/NT api, debugging, research, DLLs, Processes, and Threads, IPC, asynchronous I/O, tokens, SD, crypto api, certificats, authentication( credential providers, authentication packages, etc), tpm, WDM, hooking, ..own debugger and tools, some PKI-based windows logon solutions
Resume/CV:
https://stackoverflow.com/users/6401656/rbmm ( https://stackoverflow.com/tags/winapi/topusers - #8 All Time )
https://github.com/rbmm
https://www.youtube.com/@alexshort1643/videos
Email:lotus_rt@protonmail.com
Remote: Yes, within the US
Willing to relocate: Yes, anywhere in the US
Technologies: Android (Kotlin, Java, Coroutines, WorkManager), React Native, React, Redux Toolkit
Résumé/CV: https://drive.google.com/file/d/13qYanJxW54l7BM6cGhc5caLcOz6...
Email: MirUddin.Codes@gmail.com
Mobile engineer, ten years on Android. Most recently at Albert, a US consumer fintech app with 20M+ users, on Android and then React Native. Before that, nearly five years on First Republic Bank's consumer app.
Visa sponsorship: no H-1B lottery needed, so a US employer can file any time of year. Approved I-140.
Email: varnangupta112@gmail.com
Looking for backend, Java-React full-stack roles. I'm early in my career, so please judge me on the work.
MIT CS PhD (HCI / human computation; I built TurKit, a toolkit for programming crowd workers). In 2026 I was on a small team running Claude agents in production at a home-services marketplace (sales and customer-service chats). I worked on the plumbing around them: how agent sessions start and reset, caching to cut cost, evaluating and regression-testing agent behavior, and a tool that turns bug reports into vetted tickets.
Before that: 8 years independent (CRDT sync and Braid, a draft proposal at the IETF to add sync to HTTP; CTO of an end-to-end-encrypted collaboration startup), labor scientist at oDesk (now Upwork), and game developer (graphics, physics).
Looking for: senior/Staff engineering, AI or not; I'm happy on most any hard software problem. Full-time, contract or part-time. Available now.
Willing to relocate: No
Technologies: TypeScript, React, Node.js, LLM agents, MCP servers, Claude Code, Codex, Figma Plugin API, TouchDesigner, WebGL/GLSL
Résumé/CV: https://www.somaticbits.com/David_Pettersson_Senior_Creative...
Email: hn@somaticbits.com
Creative technologist / product engineer. Two sides: AI tooling and automation for teams, and generative/immersive art. Same instinct either way - prototype fast, make the abstract real.
Recent work:
- elfwork (https://elfwork.studio, work in progress): my agent-run product studio. I set direction, agents build, every change logged with what, why, and how it was checked. First product: https://dernier-dpe.fr
- Idea Engine (open source): start from a seed word, wander an association map, and pin the path you took into a buildable concept card. Three-model pipeline - one proposes associations, one scores and filters them for surprise and coherence, one writes the card. Svelte + Hono + SQLite, runs locally in Docker. https://github.com/somaticbits/idea-engine
- Forward-deployed engineer at a large hospitality/marketplace company. Built automations that removed up to 6h of manual work per project.
- Slides and websites generated straight from existing Figma components. Design system in, finished artifact out.
- MCP server that lets an agent coach and query a calisthenics training app.
Looking for full-time work where AI tooling meets creative tech. Teams building something new rather than iterating on what's there.
AI & automation: https://www.davidpettersson.com
Generative & immersive art: https://www.somaticbits.com