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

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

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.

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.

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.

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 two things: rebuilding systems nobody wants to touch, and making AI-assisted development safe enough to actually ship.

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 now, contract or full-time.

github.com/jesse-mw linkedin.com/in/jesse--warren

Happy Tuesday!

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

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.

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.

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.

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.

  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

  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

  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

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

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

Location: Canada

Remote: Yes

Technologies: C, OpenBSD

I'm looking for monthly/yearly "no-strings" sponsors, not employment, if any individuals, companies (or bitcoin millionaires) would like to help a long-time OpenBSD slacker, unslack, I'd really like to focus more of my time on open source development (and advocacy), rather than making rent. Feel free to contact me (see HN bio).

https://brynet.ca/wallofpizza.html

(Native SegWit): bc1qwe6zv0ezq4gzlea6tw45qhsn5kckheljn0krvt

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.

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.

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.

  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

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.

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

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.

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

——————————————

  Location: Buenos Aires, Argentina
  Remote: Yes
  Willing to relocate: Yes, US no sponsorship needed — EB-2 NIW approved
  Technologies: Python, C/C++, ClickHouse, Kafka, PostgreSQL, Redis, Docker, AWS, PyTorch, RL (PPO, GRPO), LLM-based agents
  Resume/CV: https://drive.google.com/file/d/1sF2AE0MRg-AFBmgU0Fk4ojXhqMG5oU4o/view
  LinkedIn: https://www.linkedin.com/in/maxim-anufriev
  Email: see CV, or message via LinkedIn

  Senior Software Engineer / Tech Lead, 15+ years across:

  - Trading systems (current): built and operate multiple trading
    strategies end to end — data collection pipeline at 100K+
    records/s, ML strategies live in production, LLM-based ops agent
  - Google (3.5+ yrs): multi-region infrastructure metadata platform (Cloud);
    Chrome Password Manager on Android
  - Hardware + research: quantum key distribution stack (single-photon hardware,
    FPGA integration), industrial fiber sensing (Phase-OTDR, Bragg), icebreaker
    hull monitoring
  - Founding backend engineer at a ticketing startup

  Mostly startup-like environments as a hands-on engineering lead. I like hard
  constraints — latency budgets, custom hardware, research-team integrations —
  and owning systems from architecture through production ops.

Remote: Yes

Willing to relocate: No

Technologies: Swift, SwiftUI, Obj-C, Kotlin, C#

Native application development for iOS, Android, Mac and Windows with over a decade of experience. Creating and/or integrating APIs/SDKs. TV/Video applications on all platforms (Apple, Android, Amazon, Roku.) Extensive experience building products and platforms from the ground up.

Email: info at squirrelpointstudios dot com

  Location: Austin, TX
  Remote: Yes
  Willing to relocate: No
  Technologies: Linux, Docker, Kubernetes, agentic development and automation, lots more
  Résumé/CV: https://112358132134.xyz/
  Email: dan.j.bednarski@gmail.com