Ask HN: Who is hiring? (April 2026)

* Backend Software Engineer (Python, PostgreSQL/PostGIS, Docker, AWS, Terraform) - $135-$155k — https://enveritas.org/jobs/backend-software-eng/#10d7adef8us (worldwide remote)

Senior Software Engineer: You'll own complex technical problems end-to-end—translating customer needs into scalable architecture, optimizing AI model efficiency through prompt engineering, and shipping features that directly impact how revenue teams operate. We want bold ideas and people who push boundaries.

Junior Software Engineer: You'll work across our stack (Python, FastAPI, Next.js, React) alongside senior engineers, contributing to real features from day one. Great fit if you're hungry to learn, ship fast, and grow with a startup building cutting-edge agentic systems.

New Grad Software Engineer: Entry point for recent grads excited about AI and agentic systems. You'll get hands-on experience with our modern data stack (Postgres, ElasticSearch, ClickHouse, DuckDB), Kubernetes/AWS deployment, and Temporal.io workflow orchestration while shipping production code.

This role is based in our Manhattan office (4 days/week in-person). Full health and dental coverage.

Apply: https://forms.gle/kEi5MDDiaJKdyN3fA or email maksym at withlantern.com with your resume.

Mixpeek is multimodal AI infrastructure — we turn unstructured content (video, images, audio, documents) into searchable, programmable assets through a unified API. Think of us as the data infrastructure layer that sits between your raw media and your AI applications. If you've ever tried to build a pipeline that extracts features from video, makes them retrievable, and serves them at scale — you know this is a 12-18 month infrastructure project. We compress that to an afternoon.

We're currently building MVS (Mixpeek Vector Store) — a distributed vector database built on Ray + S3, designed to handle 100B+ vectors at a fraction of the cost of existing solutions. Architecture details: shard-level WAL, LIRE-based adaptive search, replica sets, and agent-native query primitives. If you've ever wanted to rethink how vector search works from the storage layer up, this is that project.

Some things we're shipping right now:

- IP safety for media & sports — our copyright detection platform (https://copyright.mixpeek.com) helps brands and leagues detect unauthorized use of visual IP at scale. We're working with partners in the media/sports ecosystem including Backblaze for storage-native integration.

- Healthcare pipelines — multimodal extraction for clinical trial recruitment and SNF/MDS coding workflows, working with enterprise partners in the space.

- Ad verification — we contribute to the IAB Tech Lab ARTF working group and power contextual intelligence for ad safety.

Our core primitives: feature extractors, retrievers, taxonomies, clusters. Decompose with extractors, recompose with retrievers. Docs: https://docs.mixpeek.com

Stack: Python, Ray, S3, FastAPI, React/TypeScript. We also maintain amux [https://github.com/mixpeek/amux], an open-source tmux multiplexer for running parallel Claude Code agent sessions — if you're into agentic dev workflows, check it out.

I'm Ethan (founder/CEO, previously led search at MongoDB). Small team, high ownership, real problems. We're preparing for NAB Show next week and scaling enterprise pipeline work across healthcare, adtech, and media.

Reach out: ethan [at] mixpeek [dot] com — mention HN.

We'd like to feed the world through AI, here is our product concept:

https://taonexus.com/publicfiles/mar2026/render%203-2.webp

https://taonexus.com/publicfiles/mar2026/render%204.webp

We currently donate money to food banks and would like to set up end-to-end infrastructure so we could deliver free food to people's homes. Our concept is that AI does all the work (including farming) and gives away free goods and services. Where this runs into problems is the question of who's going to make and distribute food and how people are going to get it. While we haven't figured out all parts of food delivery we'd like to work on the distribution channel. We think it's very important.

What we're looking for is someone who is passionate about owning network infrastructure in people's homes and would like to help run the software stack, since at the moment AI is not talented enough to autonomously run the full infrastructure stack. This is an unpaid volunteer position.

What you would be in charge of is food distribution algorithms, equality, fairness, and the long-term future for humanity.

You can email me directly at: rviragh@gmail.com - please mention relevant volunteering or organizations you support.

We’re looking for a curious and productive analyst to help us work with our extensive electronic health record and survey datasets. We collaborate with universities and government agencies to help shape primary care, especially at the intersection of technology and healthcare. Opportunities to publish in academic journals are plentiful.

Please apply at https://www.indeed.com/viewjob?jk=53d4c2a19db4fe51&from=comp... The posting will likely only be active until the morning of 4/6.

If you apply, let me know at {my username here}@theabfm.org and mention that you saw the posting on HN.