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

- Remote: Yes, preferred

- Willing to relocate: No

- Technologies: Elixir, Ruby, JavaScript, LLMs

- CV: https://persumi.com/u/fredwu/cv

- Email: ifredwu at gmail dot com

My name’s Fred Wu, I’m an experienced Elixir and Ruby developer who has worked on multiple commercial projects as well as having contributed to many dozens of open source projects including Rails.

I’ve been using Elixir for ~10 years, ruby for ~15 years (used to actively contribute to Rails itself), lead and built multiple commercial B2B & B2C SaaS projects. I’ve always been very hands on, and have worked with multiple tech stacks in the past, including JS/React, PHP, Golang and Clojure.

- My blog and talks: https://fredwu.me/

- My Github profile: https://github.com/fredwu

- My LinkedIn profile: https://www.linkedin.com/in/wufred/

Have been working on three micro-saas, all built in Elixir/Phoenix:

https://feedbun.com - a browser extension that decodes food labels and recipes on any website for healthy eating, with science-backed research summaries and recommendations.

https://rizz.farm - a lead gen tool for Reddit that focuses on helping instead of selling, to build long-lasting organic traffic.

https://persumi.com - a blogging platform that turns articles into audio, and to showcase your different interests or "personas".

More info about hiring me: https://persumi.com/u/fredwu/hire-fred

Technologies: Python, Django, FastAPI, PostgreSQL, Redis, SQL, LLMs, RAG, Agentic AI, Transformers, PyTorch, TensorFlow, OpenAI API, Docker, AWS, CI/CD, Jenkins, Linux, Git, JavaScript, TypeScript, React

email: In portfolio LinkedIn: In portfolio resume: In portfolio Portfolio: https://arpita31.github.io/

Seeking a Software Engineer role (backend / AI/ML) at a startup or product-focused team.

5+ YOE building scalable backend systems and production-grade AI applications. Strong focus on high-performance APIs, LLM integration, and end-to-end system design.

Most recently built a multi-agent AI system (9 agents) using LLM orchestration, RAG (400K+ embeddings), and fine-tuned Llama models for autonomous decision-making.

Experience building end-to-end systems (API → caching → DB → async pipelines → deployment) using FastAPI, Redis, PostgreSQL, Docker, and AWS.

Previously at Mindtree: reduced API latency by 75%, built real-time feature flagging system (Django + Redis), and developed resilient backend systems for high-traffic applications.

Interested in backend systems, AI engineering (LLMs, RAG, agentic workflows), and building intelligent, scalable products.

  Location: Colombia at the moment
  Remote: Yes
  Willing to relocate: Maybe
  Technologies: PyTorch, Deep Learning, LLM,  Diffusion models, NumPy, JAX (a bit), CUDA | SvelteKit, TypeScript, tailwind, drizzle | Linux (25 years), AWS, Docker, yada, yada, common sense
  CV: https://alexey.work/cv?ref=47601858
  Email: alexey.zaytsev@gmail.com

I fluctuate between:

- Deep learning / Neural networks - from architecture to inference. You might have used my ♥ Lovely Tensors library if you work with PyTorch (or JAX). Some CUDA, pytorch profiler, etc.

- Full-stack AI-adjacent applications - the usual LLM API tool-calling "agentinc" AI + full-stack web, ideally with SvelteKit (typescript, tailwind, shadcn, drizzle, etc).

In my past lives: Linux kernel development, Molecular Biology Masters degree, Electronics engineering in Shenzhen.

https://alexey.work/cv?ref=47601858

Some cool stuff:

https://github.com/xl0/lovely-tensors https://github.com/xl0/lovely-jax https://github.com/xl0/lovely-numpy

https://chat.congusto.ai/chat

https://lovely-docs.github.io

https://pelican.alexey.work/gallery

Remote: Have been remote since COVID but willing to RTO.

Willing to relocate: Only back to Bay Area

Technologies: Java (Spring), Python (Django, Flask, some FastAPI), PHP (Drupal, Symfony), some Javascript (React, jQuery), AWS, SQL, Containerization (Docker, working on getting Kubernetes certified, some Ansible)

Resume: https://docs.google.com/document/d/e/2PACX-1vTwPboq9tWN1vQgX...

Email: stevenspasbo@gmail.com