Location: Blacksburg, Virginia, USA

Remote: Yes (open to remote, hybrid, or on-site)

Willing to relocate: Yes (Anywhere in the US)

Technologies: Java, Spring Boot, Python, FastAPI, JavaScript/TypeScript, React, Next.js, Node.js, PostgreSQL, MongoDB, GraphQL, Kafka, Docker, Kubernetes, AWS, Redis, Elasticsearch, CI/CD, PyTorch, TensorFlow, OpenAI, LangChain

Résumé/CV: https://drive.google.com/file/d/1cL0z5wFMD6v78Kavk63oTlSX67K... | https://github.com/ansharma07

Email: anshul03@vt.edu

Software Engineer with 3+ years of experience building scalable full-stack applications using React, Next.js, Java, Spring Boot, and AWS. Recently completed an M.S. in Computer Engineering from Virginia Tech. Experienced in building production systems, integrating LLMs into real-world applications, and developing end-to-end features from backend services to modern web frontends.

Looking for Full Stack Software Engineer, Backend Software Engineer, or AI Software Engineer roles at startups or product-focused companies where I can build impactful products, own features end-to-end, and solve challenging engineering problems at scale.

Landjourney | Senior Full-Stack Engineer | Montreal, QC (hybrid, 2-3 days/week onsite) | Full-time | $160-170K CAD

We build lending software for agriculture: loan origination, automated document collection, white-labeled servicing portals, and a capital marketplace, sold to banks and credit unions. Seed stage, $4.5M raised, SOC 2 Type II.

Stack: Python/FastAPI, CockroachDB, Redis, Angular 22, Docker.

This is genuinely full-stack, and the front-end half is the part most candidates overstate, so we test it directly. Multi-step loan applications with cross-field validation, document collection interfaces, portals our lender clients rebrand as their own. Forms complex enough that state management is a real problem.

Our take-home is an agentic assignment. You pick one of three problems, use whatever AI tooling you like, and ship it running on Vercel. We do not care whether you wrote it unaided. We care whether you understood what came out. The full brief is public, so read it before applying and decide for yourself whether it is worth 2-3 hours: https://github.com/landjourney/agentic-assignment

After that, 45 minutes where you walk us through your code and add one requirement we did not tell you about in advance.

7+ years. French is an asset, not a requirement. No visa sponsorship.

Apply: https://app.dover.com/apply/Landjourney/e1083161-2682-4459-b...

Spore.Bio | Senior Software Engineer | Paris, France | Hybrid (Flexible)

Spore.Bio is a deeptech startup building a new paradigm in quality control for FMCG (Food & Beverage, Cosmetics, Pharma). We are replacing 200-year-old microbiology methods with advanced optics and deep-learning technologies to detect bacterial contamination directly on the factory floor in minutes, instead of days.

We are looking for a hands-on Senior Software Engineer to design, build, and operate our core backend systems, APIs, data pipelines, and cloud infrastructure. You will be a key technical contributor, building the systems that connect our cutting-edge optical instruments to cloud data platforms.

Tech Stack: Python (FastAPI), PostgreSQL, AWS, Terraform, Ansible, Docker, GitHub Actions

If you are interested in applying software engineering to real-world hardware and microbiology challenges, we'd love to hear from you!

Apply here: https://careers.spore.bio/jobs/7230020-senior-software-engin...

Prior Labs | Berlin / Freiburg / NYC | ONSITE | Full-time | Multiple Roles | https://priorlabs.ai

Deep learning transformed text and images but mostly skipped tables - the data behind most clinical trials, financial models, and scientific experiments. The reason is structural: no natural sequence, no spatial structure, no shared vocabulary across datasets, so the architectures and scaling laws behind LLMs don't transfer.

Our approach: pre-train a transformer on millions of synthetic datasets sampled from causal-structure priors. Your whole dataset goes in as context, predictions come out in a single forward pass - no per-dataset training, no hyperparameter tuning, seconds instead of hours. It works: TabPFN v2 was published in Nature and set a new state of the art; TabPFN-3 scales to 10M rows. 4M+ downloads, 8k+ GitHub stars, production use from liquid biopsy to rail maintenance. As of last month we're an independent lab inside SAP, backed by €1B+ - models stay open, research stays public, same team and offices.

Open roles (most can sit in any of our three offices):

Senior ML Infrastructure Engineer - own multi-cluster GPU infra (Slurm on GCP today, multi-provider next), training performance, and the tooling layer. We spend tens of millions/year on compute; you own that budget.

Research Scientist, Foundation Model - drive the model agenda: novel architectures, scaling 10K to 1M+ samples, multimodal and causal directions. PhD + top-venue publications or equivalent.

Research Engineer, Foundation Model - same agenda from the engineering side: you design experiments, write the training and eval infra, and co-author the papers.

ML Engineer, Cloud Platform - design and scale the backend that serves and finetunes the models. Python/FastAPI, Terraform, K8s.

Full Stack Engineer, ML Platform - build the product end to end. TS + Python, React/FastAPI/Postgres.

Also hiring: Applied Scientist, Forward Deployed ML Engineer, Research Scientist (Foundational Data Science), PhD research interns, plus GTM and ops roles.

~40-person team with backgrounds from Google, DeepMind, Jane Street, Goldman, G-Research, CERN. Led by Frank Hutter, advised by Bernhard Schölkopf and Yann LeCun. Comp competitive with top AI labs.

All roles: https://jobs.ashbyhq.com/prior-labs

Cogram | Full-time | Remote (CET ±3) | https://cogram.com | B2B Saas / AI for AEC

Cogram is an AI platform for the architecture, engineering, and construction industry. We automate project admin such as RFIs & submittals, email filing, field notes, meeting minutes, and reporting. World-leading architecture and engineering firms have adopted Cogram at scale. We're backed by YC and Initialized.

We're looking for product engineers that ship high-quality software and are good at talking to users and understanding requirements. You're comfortable across the stack and own features end-to-end. A strong sense for good UI/UX is required. Experience in architecture, 3D modeling / CAD / BIM, or building industry-vertical AI agents is a big plus.

Stack: Python (FastAPI), Postgres, Redis, React/TypeScript, React Native/Expo, Terraform/Kubernetes on AWS & Azure. Fully remote, three off-sites/year, ~38 paid days off, competitive salary + equity.

Apply: r+hnhiring[at]cogram[dot]com with GitHub/LinkedIn/portfolio and a short note, including your current agentic-coding setup. No AI-generated emails, please.