Ask HN: Who wants to be hired? (September 2026)

kol3x

Location: Tbilisi, Georgia Remote: Yes Willing to relocate: Yes Technologies: JavaScript, TypeScript, Cloudflare Workers, LLM integration, React. Resume/CV: kol3x.com Е-mаil: hn-september at kol3x dot com I started as a fullstack JS engineer and grew into product development at my last company. I owned the ingestion layer - collecting 100k relevant messages/month from 4 platforms through a dirt-cheap serverless back-end on Cloudflare Workers. We worked with LLMs deeply, especially in code generation research. I was part of a small team developing SpecGEM, a fine-tuned model that generates Cloudflare Workers code from JSDoc comments and is designed to outperform mainstream LLMs at this narrow task. https://dn.institute/research/ai/specgem/ Last month I released a self-hosted LLM assistant on Cloudflare Workers that predictably compounds context across conversations. https://github.com/kol3x/pawmc Looking for a remote role where I can own work end-to-end. Stack-wise I'm strongest on Cloudflare Workers, JavaScript/TypeScript, practical LLM integration, React. CV, LinkedIn, and GitHub are also linked at https://kol3x.com

dmitry_t

Location: Porto, Portugal Remote: Yes (remote only) Willing to relocate: No Technologies: Node.js, TypeScript, GraphQL, REST, PostgreSQL, ClickHouse, Kafka, Redis, AWS, Kubernetes, Terraform, OpenTelemetry, Vue.js, React Résumé/CV: https://thaler.dev/thaler.cv.pdf Email: dmitry@thaler.dev Full-stack engineer with a backend focus and 15+ years of experience. Most of my work is at the integration layer: pulling a dozen awkward external systems into one GraphQL or REST API that a product team can rely on. This has included payment gateways and government services at a national lottery, multi-protocol network telemetry, and billions of retail sales and inventory rows. I own the infrastructure under what I build. On one route-planning system, that meant dynamic scaling that spun up short-lived machines at peak while keeping the cloud bill flat. EU-based B2B contractor; no sponsorship required. Experienced working remotely with US companies via Deel and Globalization Partners. Available with 7 days’ notice.

valeriyasloviko

Location: Pisa, Italy (CET) Remote: Yes, remote only Willing to relocate: No Technologies: Python, LLM/agent orchestration, local embeddings, AWS (Lambda/SQS/EventBridge), Terraform, Django, PostgreSQL, LightGBM/PyTorch, NLP/Transformers Résumé/CV: linkedin.com/in/vslovik Code: github.com/vslovik/fenix — local-embeddings market scanner + RAG over the corpus, no API keys Email: valeriya.slovikovskaya@gmail.com Software architect, 15+ years in production systems, almost entirely startups and internal startups — fintech, e-commerce, pharma, publishing. The work I get pulled into is the recurring startup problem: a service shipped fast under launch pressure, without adequate tests, that later has to be made reliable without being stopped. Incident response, re-architecture, and the release discipline that keeps it from happening again. Most recently that has meant a regulated UK consumer-credit platform — loan servicing, arrears, forbearance, statutory breathing space, and early-settlement calculations written against consumer-credit legislation. Regulation as code, behind a test suite larger than the production codebase. I've done that in all three configurations: taking a core system from problem statement to release, leading the team that carried it (1 to 7 engineers in ten months), and now doing the same work again with agentic tooling covering what the team used to. On the data side: a LightGBM acquisition model over a 38M-row base — 0.77 test AUC, 8x lift in the top 1% — scoring 2.9M households for a live campaign. I also found a validation-set misuse defect in my own pipeline (early stopping on the test split), quantified its effect across every published figure, and added a pure-noise regression test to pin the corrected result to chance. NLP is hands-on rather than API-deep: my degree thesis fine-tuned BERT, RoBERTa and XLNet to state of the art on the FNC-1 stance-detection benchmark, published at LREC 2020. Building on my own time: github.com/vslovik/fenix — a local market-signal scanner (Ollama embeddings, sqlite-vec, no API keys) that ranks incoming articles against a free-text description of what you're looking for, and answers questions over the same corpus with citations back to the source chunks. Also a tool-calling agent that turns unstructured regulatory text into a deterministic calculation pipeline, where the model does the extraction and a deterministic engine does the arithmetic. Looking for agentic AI/LLM engineering, LLM evaluation and observability, AI integration, or software architecture. Founding-engineer shape suits me — early enough that I'm in the room where the work gets defined. Employment or named-delivery consulting, not disguised staffing.

stakent

Location: Rzeszów, Poland Remote: Yes — remote only (~EU hours or async) Willing to relocate: No Technologies: Python, PostgreSQL, FastAPI; LLMs & embeddings, semantic search, self-hosted open-weights models (on-prem, offline); deterministic data/ML pipelines; PDF/document extraction, OCR, IoT, time-series, logs → decision-useful information Résumé/CV: https://walat.eu/cv/ | https://linkedin.com/in/dariusz-walat Email: dariusz@walat.eu Trustworthy output from untrustworthy data. I build systems that catch what's silently wrong — a dead sensor nobody noticed, contradictory records, a garbled scan, a confidently-wrong model — so it surfaces as a flag today, not a six-month catastrophe. I use LLMs where they earn their place (development, meaning, embeddings, plain-language access to jargon-locked data) and keep them out of decisions and the data flow, which stay deterministic and verifiable. An LLM can help you find the answer; it can't be the answer. Senior systems engineer, multiple AI cycles of judgment on what survives the hype and where it breaks. Currently turning messy Polish legal PDFs into a correctness-checked graph — the hard part is the verification, not the AI. Previously I built a legislative-notification service that ran autonomously in production for over three years before I retired it. I've written about where AI coding agents actually fail and why verification is the real work: https://walat.eu Best fit when: correctness matters, the data is real-world-messy, and you want someone who names what doesn't work and why.

jesse-warren

Location: Temecula, CA (US Pacific) Remote: Yes Willing to relocate: No Technologies: TypeScript, React, Next.js, Node.js, Python, PostgreSQL, Supabase, Docker, CRDTs, distributed task queues, CI/CD, agentic AI workflows Résumé/CV: barelybrand.co/work Email: jesse :at: barelybrand.co Senior engineer, 6 years. I mostly get hired for these things: rebuilding systems nobody wants to touch, and making AI-assisted development safe enough to actually ship. Also, I'm pretty funny. Recent work: - Zero-downtime migration engine off a 10-year-old document store. 206,011 users moved, DB cost went from $1,600/mo to $80/mo. - Risk-tiered review pipeline with an AI reviewer holding merge authority; the team, including a non-engineer cofounder, shipped 600+ PRs through it. - CPQ/pricing platform for a manufacturer: pricing engine, configuration resolver, CAD/ERP integration, led two engineers. Available immediately, contract or full-time. github.com/jesse-mw linkedin.com/in/jesse--warren Happy Tuesday!

jborden13

Location: Telluride, CO Remote: Yes Willing to relocate: No AI Product Engineering: full-stack AI systems, LangGraph/Chain, RAG Technical: TypeScript, Node.js, Python, React/Vue, PostgreSQL, vector DBs, NoSQL, AWS, GCP Recent work includes: • multilingual AI product (26 languages) for search automation • AI-assisted incident intelligence platform for enterprise security teams • multi-tenant account management platform (Life Alert providers) • semantic video search using multimodal embeddings • multi-agent systems integrating LLMs with internal data, docs, and APIs Experience helping teams move LLM / agent workflows (incl. LangGraph/Chain) from prototype >> production. Previously founded and exited a SaaS company serving Fortune 500 brands (pricing intelligence & channel compliance), built and led distributed team of 100+. LinkedIn: https://www.linkedin.com/in/jeff-borden/ Email: jborden13 [@t] gmail [dot] com * Open to full-time, fractional, or advisory roles.

jon_north

Location: USA 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. Whatever you’re doing with AI is also fine by me, and I’ll lead/adapt as appropriate. 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

MatekCopatek

Location: Slovenia, EU (CET/CEST) Remote: Yes (required) Willing to relocate: No Technologies: TypeScript, Python, Django, Vue, Nuxt, React Résumé/CV: https://zgajner.com/work GitHub: https://github.com/mzgajner Email: work@zgajner.com Full-stack web developer with 20 years of experience, currently working at a startup where I was employee #2. My strongest area of expertise, if I had to point one out, is frontend. I've built complex multiscreen dashboards, mobile games, IPTV set-top box interfaces, you name it. Consistent and performant UIs are my jam. I enjoy working with people, I've happily and successfully led teams, conducted dozens of technical interviews and managed cross-team initiatives. That said, I'm a deeply technical person at heart, so I'm not looking for a full-time management position. Over the past year I've been working with LLMs extensively, building an AI asset management product at my current employer, which required diving into coding harness internals and shipping features supported by LLMs. Our development processes started relying on LLMs as well, so I'm well prepared to join a team that's already heavy on AI or help it make that transition. My preferred environment is one where I get a seat at the table early so I can own a feature from conception to production. I'm used to low overhead, frequent exchanges with product people and daily deploys. If you're not there yet, I can help you get there.

hosseinasgari

Location: Tabriz, Iran Remote: Yes — open to international remote opportunities where legally and operationally possible. Willing to relocate: Yes — open to relocation with visa sponsorship. Technologies: MQL4/MQL5, MetaTrader, Python, algorithmic trading systems, trading APIs, WebSocket, execution systems, risk management, backtesting, forward/live validation, financial automation. Résumé/CV: https://drive.google.com/file/d/1UG3GNrmMzF5GJ5azr-OGUE55rKw... GitHub: https://github.com/Fintor-AI LinkedIn: https://www.linkedin.com/in/hossein-asgari-3b652416a/ Email: hosseinassgari93@gmail.com Trading Systems & Automation Engineer with hands-on experience designing, testing, and operating algorithmic trading systems. My work focuses on signal/risk/execution architecture, MQL4/MQL5 systems, Python automation, trading APIs, backtest-to-live validation, execution diagnostics, and failure analysis. I’m especially interested in Quant Developer, Trading Systems Engineer, Financial Systems Engineer, and Python automation roles where I can own real systems end-to-end. Open to remote roles and relocation opportunities.

G4Vi

Location: New Hampshire Remote: Strongly Preferred, 3+ years experience fully remote Willing to relocate: Yes Technologies: C, C++, Rust, Perl, TS/JS, Go, Python, Wasm, Linux, Windows, Embedded, HTTP, and more Résumé/CV: https://computoid.com/about/GavinAHayes-Resume.html / https://computoid.com/about/GavinAHayes-Resume.pdf Email: gavin [at] computoid dawt com Hi, I'm Gavin. I have 9+ years experience between systems programming (cross-platform and embedded in C and C++), WebAssembly (porting, plugin systems, and binary parsing/recompilation), and Backend (identity and security in Rust, Typescript, Postgres). I'm proud of my open source work such as porting Perl to the Cosmopolitan Libc (featured on HN: https://news.ycombinator.com/item?id=33966755 ) and making my own HTTP media server/web interface. For my next role, I'm mostly interested in systems/Wasm development, but can be flexible to work in an interesting domain.

bradly

Location: San Diego, California / Lopez Island, Washington Remote: Preferred, but I do not mind travel. Technologies/skills: Ruby, Ruby on Rails, RSpec, Git, Turbo/Stimulus, TailwindCSS/TailwindUI, AWS, Kamal, HTML, CSS, JavaScript, SQL, Unix, APIs, people Resume/CV: Ruby on Rails since 2006 at Shopify, Apple, Intuit and a bunch of startups as well. Email: bradly@rails247.com I really enjoy making web sites. I still type a lot of my own code and all of my own emails and code reviews. Not sure if that is a pro or con

dvvalia

Location: Mumbai, India Remote: Preferred Willing to relocate: No Technologies: - Python/Pandas - Java/Spring Boot - Data Engineering (ETL/ELT, data pipelines) - Product Development - AI/LLM based development (MCP, agents, ADK, CrewAI, etc) - Other (SQL, Redis, Docker, AWS, GCP, Azure, DBT) Résumé/CV/Email: https://dvalia.in Data/Backend/Agentic AI engineer for the past ten years (Java, Python, SQL). Experience building data platforms (from scratch!) and ELT pipelines for financial data. Currently working on agentic AI projects, but happy to work at any level for any problem that needs solving. Happy to work on product management, solutions architecture, agentic AI or customer engineering. Remote is preferred for time zones spanning Europe to India, or early hours of EST/PST; onsite/hybrid in Mumbai is also great. Unfortunately cannot relocate. Open primarily to freelance/consulting roles, but full-time roles will also be considered if we're a good fit.

ArchMMM

Location: Germany (Freiburg) Remote: Yes (100% Remote only) Willing to relocate: No Technologies: LLM Context Architecture, Deterministic Serialization Protocols, Localhost Session Governance, State/Glossary Recovery, System Analysis, Logic Orchestration, Unstructured Data Forensics GitHub Profile: https://github.com/Recursive-Logic-Core Résumé/CV: Available upon request via email Role: AI Systems Analyst & Architect (Concept & Orchestration) Focus: Designing structural logic frameworks, context architectures, and deterministic control layers to solve core LLM limitations (Context Rot, Lost-in-the-Middle, hallucination loops, Attention Drift). I build fast, AI-orchestrated architectural prototypes and proof-of-concept tools across any tech stack to validate system logic - focusing on high-efficiency architecture, state mechanics, and system design rather than manual syntax-grinding for legacy codebases. Key Deliverables & Implementations: - SLAP Protocol (v1.0.0): Deterministic, zero-overhead context serialization & line-based tree-state protocol in O(N) single-pass execution https://github.com/Recursive-Logic-Core/SLAP - DriftBreak (v1.5.0): Local context governor & state-recovery engine mitigating context drift and VRAM payload overhead on 127.0.0.1 https://github.com/Recursive-Logic-Core/DriftBreak - Deterministic Context Frameworks: Mitigating attention decay, sycophancy, and mid-context retrieval failure across massive multi-document spans https://github.com/Recursive-Logic-Core/llm-context-architec... - Advanced Forensic Pattern Recognition: Signal extraction from extreme cryptographic and unstructured informational fragmentation (Rongorongo, Dorabella, Kryptos, Voynich) https://github.com/Recursive-Logic-Core/system-analysis Terms: German employment contract & benefits (Open to international via EoR / German entity) Languages: Native German, fluent written English (async-first) Notice Period: 2 months to end of month Email: arch_mmm@proton.me

victornomad

Location: Berlin, Germany, Europe Remote: Yes Willing to relocate: Maybe (within EU) Technologies: Coding agents :) plus everything they type with me: TypeScript, React / React Native, Vue, Python, Supabase, Figma, Storybook. Résumé/CV: https://notes.pixeletes.com/cv/ Email: pixeletes@proton.me I'm Victor, a product designer who writes production code, fifteen years in. I can carry the backend and I have led teams, but I engage most with the user-facing parts. I'm most useful where design and build are the same job: 0-to-1 products. Recent side work: LLM Party ( https://llmparty.pixeletes.com ), a set of LLM experiments, and SketchJam, a multiplayer creative-coding party game. Notes on how I work: https://notes.pixeletes.com

emmahooks

Location: New Jersey / NYC Remote: Yes (open to hybrid in NYC) Willing to relocate: No Technologies: Rippling, Greenhouse, BambooHR, Workday, Lattice, Carta, Vanta, Velocity Global, LinkedIn Recruiter, Google Workspace, Microsoft 365, Slack, Jira, Confluence, Notion, Trello, Replit, AI/LLM tools and workflow automation Résumé/CV: https://canva.link/y0ozf7mf8raiky3 Head of People / People and Talent leader with 15+ years of experience across startups and larger technology companies. I have served as the first/only People leader at venture backed startups, partnering directly with founders and executive teams across hiring, organizational design, performance, compensation, People Ops, employee relations and scaling through significant change. I particularly enjoy the 0→1 and growth stage work, figuring out what the business needs, building the right People foundations without unnecessary bureaucracy and staying hands on enough to actually get things done. Most recently, I founded and built an AI powered consumer startup, which has given me firsthand experience on the other side of the founder/People partnership. I am continuing to build it in my own time while looking for my next Head of People opportunity. Open to full-time Head of People / VP People roles as well as select fractional opportunities.

zech10

Location: Rosario, Argentina (UTC-3) Remote: Yes Willing to relocate: Yes (Brazil, Spain, EU; US with sponsorship) Technologies: C, C++, Qt/QML, PySide6, Python, Rust, CAN bus / J1939, embedded HMI, real-time 2D rendering, event-driven firmware on constrained MCUs (MPC56xx), EEPROM/DTC/telemetry, SQLite, FastAPI, Cloudflare Workers Résumé/CV: https://www.linkedin.com/in/ezequiel-garcia-8aa89854 (PDF on request) Email: ezegraz@gmail.com Embedded HMI engineer. For 5 years I was the sole software owner of ~12 operator dashboards that shipped to production on heavy agricultural machinery for five OEMs: architecture, C firmware, J1939 modeling at 250 kbps, the entire graphics layer, bench and field validation, and support. Two things I'm proud of: integrating an electronic Cummins engine and a DANA transmission so the machine was commanded from our own HMI/VCU with no OEM display, and replacing European OEM valve controllers with an in-house CAN + HMI module, which cut per-unit cost and license fees. I also built VisionUI, my own desktop UI framework: custom 2D engine, WYSIWYG editor, licensing and cloud backend, with performance-critical parts in Rust. Looking for embedded or industrial HMI, Qt/QML, machine and instrumentation software, or graphics-heavy desktop apps. Full-time or contract. I'm used to owning a product end to end.

anasbayoumy

Location: Cairo, Egypt Remote: Yes Willing to relocate: Yes Technologies: TypeScript, Node.js, Next.js, React, React Native/Expo, PostgreSQL + pgvector, Python, Docker, AWS. LLM systems: evals, guardrails, RAG, request tracing, agentic workflows. Github: https://github.com/anasbayoumy Linkedin: https://www.linkedin.com/in/anasbayoumy/ Email: anasbayoumy20@gmail.com Software engineer, 2 years, remote for UK companies. I build the layer that makes AI features safe to ship. Spotter — https://github.com/anasbayoumy/spotter Evaluation and guardrail layer for LLM agents. Deterministic rules run before any model judge, because a rule can't hallucinate a pass. Every call traced before it executes, so when quality drops you query what changed. CLOCKLO — https://clocklo.com Multi-tenant workforce SaaS. AI attendance verification, RBAC, Stripe, CI/CD on AWS. Shipped solo, end to end. SofClinic — https://sofclinic.com Clinic management SaaS, WhatsApp-native — clinics already run on WhatsApp, not another dashboard. Also built an agents module where the LLM emitted SQL and got back only record IDs, never customer data. Open to full-time or contract, 4h/day and up.

raxitbhalala094

Location: Rajkot, India Remote: Yes (worldwide, IST, flexible overlap) Willing to relocate: No Technologies: Android (Kotlin, Java), Flutter/Dart, Jetpack Compose, Firebase, REST APIs, MVVM, Play Store publishing and rejection fixes, plus web (business and e-commerce sites) Resume/CV: https://raxit0948.github.io Email: raxitbhalala0948@gmail.com Android developer, 4+ years professional, shipped apps with 100K+ combined Play Store downloads across social, food delivery, fitness, AI and news categories. Now freelancing and open to contract work. What I am good for: quick turnarounds on existing apps (crashes, Gradle and build errors, Play Store rejections - usually 24-48h), full Flutter apps shipped to both stores, and website-to-app conversions. Code you can read before hiring me: I published an open-source photo and video editing SDK for Android on GitHub ( https://github.com/Raxit0948 ), and I just built a free interactive Play Store pre-submission checklist - https://raxit0948.github.io/playstore-preflight.html - 14 real rejection causes with the fix under each one. Happy to start with a small paid task so we can both see how the other works.

quipacorn

Location: Washington, US (Pacific Northwest) Remote: Yes (preferred) Willing to relocate: For the right role, though I prefer to remain in the PNW Seeking: Platform / Infrastructure / SRE / DevOps; also HPC, research infrastructure, and scientific computing roles Technologies: * Infrastructure: Linux (Rocky/Debian/Arch), Kubernetes, Docker, Ansible, NGINX, GitHub Actions / CI/CD * Systems and networking: DNS (BIND/TinyDNS), Kea DHCP, NetBox, Zabbix, Harvester, Ceph * Cloud and hardware: Hetzner, AWS, colocated/on-prem bare metal * Programming: Python, Bash; working knowledge of Go, JavaScript, and SQL * Research/HPC/ML: Slurm, GROMACS, OpenMM, FoldX, PyRosetta, TensorFlow/Keras/PyTorch Resume/CV: https://jbarnes.dev/resume GitHub: https://github.com/jbarnes-dev Email: jonathan [at] jbarnes.dev LinkedIn: https://www.linkedin.com/in/barnesjonathane/ I'm a PhD physicist turned infrastructure engineer. I maintain a 40+ node Linux fleet for an open-source blockchain project; covering automation, monitoring, deployments, and public services. I also run a small web-hosting business and have built cloud automation for bare-metal onboarding and Kubernetes-hosted VMs at a startup. My earlier work was in computational biophysics, ML, and HPC. I'm looking for a hands-on platform, infrastructure, SRE, or DevOps role, ideally on a small, collaborative team. I'm also interested in research or ML infrastructure roles where my scientific background would be useful. Having worked at startups in the past, I'm fine wearing multiple hats and enjoy the variety.

raigol

—————————————— SEEKING CONTRACT WORK | Remote (CET timezone) | Senior Product Designer / Design Engineer · Location: EU (Italy, CET timezone) Remote: Yes, async-comfortable Relocation: No Tech: Figma + MCP, Claude Code + custom skills, HTML/CSS, design systems, WCAG Résumé/CV: https://www.raigo.design/cv_raigo-lilleberg.pdf Portfolio: https://raigo.design Email: hi@raigo.design · Focus: the first mile of design maturity for small B2B software teams. Think UX/UI consistency and brand alignment across the product, using LLM-ready design systems and improved design-to-code workflows. Most recently: design partner to a funded AI-native B2B startup. Owning the design end-to-end, helped their small team build their new agentic product layer from first direction to public launch in six weeks. Before that, helped a fintech B2C company set up their design function and build their customer-facing product - case study: https://www.raigo.design/case-studies/my-jiwambe Looking for long-term engagements with a product team, to meaningfully level up design maturity. Available now. Also open to short, scoped sprints. From $450/day, depending on engagement shape. Ask more: hi@raigo.design · Portfolio: https://raigo.design GitHub: https://github.com/raigolilleberg LinkedIn: https://www.linkedin.com/in/raigolilleberg ——————————————