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

Location: Brazil (UTC-3, full overlap with US Eastern) Remote: Yes, remote only

Willing to relocate: No

Technologies: Python, TypeScript/React, GraphQL, PHP, Go, Node, Postgres, event-driven systems

Résumé/CV: available on request (currently employed, keeping this post low-key)

Email: abandinibr@proton.me

25 years of shipping software. I co-founded an e-commerce company that became the leader of its category in Brazil and today does 7 figures a month in revenue; as CTO I built the store, the payment integrations, and the logistics platform from scratch and scaled them through the growth years. Since then, senior and staff roles at US SaaS companies: modernizing legacy systems nobody else wanted to touch, leading architecture work that entire orgs adopted, cutting an infrastructure bill by an order of magnitude. These days I work on financial systems moving eight figures a month.

Domain-wise I've gone deep in payments and billing, healthcare, e-commerce, and publishing/martech, almost all of it B2B SaaS.

Location: San Diego, CA

Remote: Yes

Willing to relocate: Yes, but not before November. Happy to go hybrid or onsite after that.

Technologies: TypeScript, Vercel AI SDK, Workflow SDK, MCP servers, Next.js, React, Node/Bun/Deno, NestJS, Postgres (Drizzle/Prisma/TypeORM), Redis, BullMQ, OpenTelemetry, Swift/SwiftUI, some Rust and Python.

Résumé/CV: https://jonwillis.dev/?utm_source=hn | https://github.com/jondwillis

Email: jw-port-burner@proton.me

I'm an AI product engineer and sometimes-founder w/ 15+ years of experience across full stack web, native, mostly startups. I have been building agent systems and I have been at it long enough to know where they break, and I am a lifelong continual learner and striver.

Currently co-founder and CTO at Valara, bootstrapped and pre-revenue, where I built an AI-native orchestrated workflow product that reviews commercial and residential real estate appraisals for lenders. I turn my co-founder's and our design partners' experiences into product features.

Before that: a little more than two years at Uni Industries building AI, agent, and data plugins across two products, including an agent harness w/ structured tool use, skill systems, and eval pipelines.

In 2023 I shipped waggledance.ai, an open-source multi-agent system with DAG-based planning and parallel execution, before things like LangGraph or reasoning models existed. Earlier I was senior iOS at Curtsy (crash-free sessions from 99% to 99.9% at hundreds of thousands of MAU) and the first mobile engineer at Pluto TV, pre-seed through Series B, with the mobile/OTT team that I help lead there driving a lot of the early traction and growth, which eventually led to an exit in 2019.

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I'm looking for a former-founder, senior, or staff IC role building AI products people actually use, or will use soon. Strongest on TypeScript, frontend, UX, agent architecture, and SDLC/ADLC.

Location: Salt Lake City, UT

Remote: Hybrid/Remote Ok

Willing to relocate: No

Technologies: Typescript, React, Node, C++, Postgres, SQLite, AWS, Docker, CI/CD, Electron, Playwright, Grafana, embedded

Résumé/CV: https://www.linkedin.com/in/luc-lapenta-7436bb83/

Email: lapentaluc+jobs@gmail.com

Hi, my name is Luc. I am a Full Stack Engineer with 9+ years of product development experience. In my most recent role I have successfully delivered projects as an IC and as a team leader to enable critical business growth opportunities, helping scale company revenue from 3M → 20M, 2M → 10M (ARR). I am a motivated, high ownership, multi-stack professional seeking high leverage IC roles.

    Location: Wisconsin
    Remote: Yes
    Willing to relocate: Yes
    Technologies: RL Environments, FastAPI, Python, PyTorch, Kubernetes, Docker, AWS, MLOps
    Resume: https://drive.google.com/file/d/11LGN3YZj2uOJlTr8be77V44xVdGSr3kB
    Portfolio: https://thelisowe.com/
    Email: In profile or on resume

I'm an AI/ML Systems Engineer specializing in high-performance deployments. Most recently I've built RL environments for frontier labs like OpenAI and Google DeepMind. Previously I've built distributed AI classifier systems handling 30K QPS, designed a neural network for Rocket League gameplay, and created platforms that cut model deployment time from 6 months to 6 hours. Saved $500K/yr in infrastructure costs through optimization at previous role. Former technical founder with experience in humanoid robotics and AI writing assistance. I write about my projects and musings on my Substack: https://thelisowe.substack.com/

Seeking roles focusing on FDE, post-training, or full-stack AI/ML systems engineering.

Location: CET

Remote: Yes, global remote. Comfortable with EMEA, US East Coast, and PST overlap.

Willing to relocate: Yes, for the right role and package.

Technologies: AWS, GCP, Nebius, Hetzner, Linux, Docker, Kubernetes, Terraform, GitHub Actions, PostgreSQL, MySQL, DynamoDB, Python, Bash, SQL, TypeScript, React, Node.js, Prometheus, Grafana, Loki, OpenTelemetry, NVIDIA NIM/VSS, GPU workloads, blockchain RPC infrastructure

Résumé/CV: https://www.krissemmy.com/resume

Email: krissemmy17@gmail.com

Platform / DevOps / SRE engineer with 3+ years of experience owning production infrastructure in startup teams.

I am useful when a team needs someone to take messy infrastructure, deployment, cost, observability, or reliability problems and make them boring.

Recent proof: At RestoreAI, I own cloud infrastructure for an AI product across dev, staging, prod, and preview. Recently reduced dev/staging AWS spend from about $700/day to $200/day by rightsizing GPU workloads and removing stale Kubernetes/ECS resources.

At GlueX Protocol, I worked on production blockchain/RPC and data infrastructure across multiple EVM chains. Reduced AWS cost by 45%, improved API latency from around 2s to under 250ms, and built observability with Prometheus/Grafana/Loki.

Projects: ShipCheck: deployment readiness checker for live web apps. https://shipcheck.krissemmy.com/

KraiNode: RPC diagnostics and benchmarking tool used by 450+ engineers. https://krainode.krissemmy.com/

Best fit: platform engineering, DevOps, SRE, cloud infrastructure, AI infrastructure, data infrastructure, production reliability, technical operations, or infrastructure-heavy support engineering.