CommunityScale | https://communityscale.com | Lead Python Developer (Housing Forecast) | REMOTE (US, EST-friendly) | Optional Boston/Cambridge meetups | Full-time | Visa: Not available | Compensation: $85k–$125k base + 401(k) match, health stipend, PTO

We’re an urban planning consultancy building the CommunityScale Housing Forecast, tools and maps that help cities plan housing and growth. Small, focused team; real-world impact.

You’ll work on: - APIs & performance: Extend FastAPI endpoints (forecast overrides, analytics), tune queries/caching, containerize heavy jobs on Cloud Run. - Data engineering: Ingest ACS/FRED/Zillow; refactor transforms to SQL/dbt; manage schema migrations; keep tilesets fresh. - Geospatial UX: Improve PostGIS/GeoAlchemy2 pipelines and map rendering (e.g., overlapping township/municipality z-index issues).

Stack: Python 3.13+, FastAPI, SQLAlchemy 2, Pydantic, Pandas; Postgres 16 + PostGIS, DuckDB; dbt; HTMX, Tailwind, Jinja2, Mapbox GL JS; Docker, GCP (Cloud Run), GitHub Actions, uv, pytest, Ruff, Pyright. Nice-to-have: Prefect, BigQuery, dlt; familiarity with US Census data.

Requirements: 2+ yrs building Python web apps; strong SQL & schema design; ETL/ELT experience; collaborative Git workflow; geospatial familiarity (nice-to-have).

Benefits: Competitive base + 401(k) match, paid vacation, health insurance stipend. Remote-first with limited travel.

Apply: email nels@communityscale.com with subject “Job application: Lead Python Developer, <Your Name>”. We’re actively hiring and will respond to applicants.

Absinthe Labs | Full-Stack Engineer | REMOTE / NYC Hybrid | Full-Time

About us: Absinthe is building the most sophisticated gamification engine for crypto-native incentive programs. Since 2022, our products have reached 50M+ visits and 2M+ active users. We’re a 10 person, well-funded team shipping fast.

The problem we’re solving: Tracking per-user activity across DeFi protocols sounds simple but is surprisingly hard. Want to know how long someone held an LP position, or which users provided liquidity for more than 30 days? That data is on-chain but can’t be efficiently queried today.

We built an indexing framework that turns protocol events into time-weighted balances and point-in-time actions. Adapters map protocol-specific semantics (Uniswap ≠ Aave ≠ Morpho) into a unified model. The engine handles state, TWAP pricing, and exporting data anywhere. With ~100 lines of adapter code, you can track user balances and contributions at a fidelity no one else supports.

Why it matters: This infrastructure underpins analytics, loyalty, and incentive programs across Web3. We see the Absinthe Adapter Library becoming the default developer layer for embedded finance.

The role: We’re hiring a Full-Stack Engineer to own features end-to-end schema design, wiring GraphQL, polished frontends, and deployment. Our stack: Next.js, Hasura, dbt, MotherDuck/DuckDB, GraphQL, and in-house Web3 indexing. See open positions here: absinthe.network/careers#open-positions

Get involved: - Explore product functionalities at: https://guides.absinthe.network

- Explore the Adapter Library docs: https://docs.absinthe.network/

- Join our Slack community to hack on adapters and connect with the team: https://join.slack.com/t/absinthecommunity/shared_invite/zt-...

Ageospatial www.ageospatial.com/jobs | AI Solutions Architect - Founding Engineer | Remote or EU/Switzerland

Mindset:

- This will be the most challenging (but rewarding) build of your life

- You'll be joining a kind & smart fully remote team of engineers that delivers at the highest level

- You're not here for the early startup paycheck, you know the pay is (VERY) low at the start, instead, you're in for the long game with (equity and profit-sharing) and want to build the most impactful product of your career

- You are ready to be 'all-in', this will be fun and you'll be fairly rewarded

- You think like an architect, execute like a builder and vibe-code like AI

- You ship fast, high standards

Tech: Agent-as-a-Service architectures, Agentic AI, Langchain, LangGraph, Distributed/Parallel computing, Memory management, Autoscaling, AWS, Kubernetes, Microservices, Message Queues, Django, Node, DuckDB (optional), WASM (optional), WebGL (optional)

Process:

1 - Email to contact@ageospatial.com with subject line: FOUNDING AI ENGINEER - FIRSTNAME LASTNAME. Include: CV/LinkedIn, GitHub/portfolio/project with impact or revenue. Keep it short.

2 - 10-minute intro call.

3 - 30-minute system design call.

4 - 10-minute team fit call.

5 - Paid two week trial as a contractor → founding engineer role.

Pomelo Care | San Francisco, NYC, Remote - USA ONLY with Work Authorization | Software Engineer (mid career - Staff)

Pomelo Care is a multi-disciplinary team of clinicians, engineers and problem solvers who are passionate about improving care for moms and babies. We are Series B, with some notable investors like First Round and a16z. As an early member of our engineering team, you will have the opportunity to shape the product, codebase, and culture at Pomelo for years to come. On any given day, you may:

- Write clean, elegant code to build new features and keep our platform humming

- Design new systems to enable Pomelo's clinical team to deliver personalized care to an expanding patient population

- Build a great mobile experience so pregnant women and new parents feel they have a support team in their pocket

Tools we use:

- GCP, Kotlin, Typescript, React, React Native, Terraform, Spanner DB, Big Query, DuckDB, Dagster, DBT, K8s

Personally, I've never had so much fun and learned so much at work. This team is phenomenal, so I recommend applying if you're looking to learn a lot and make a big impact in an important space.

Learn more here: https://www.pomelocare.com/careers

krea.ai | Distributed Systems Eng. & Data Engineers | San Francisco (on-site), CA

I'm the cofounder & CTO of Krea (https://www.krea.ai). We are a startup in San Francisco building browser-based AI creative tools to improve the workflows of artists, designers, and professional creatives. Small team (~22); millions of active users; and raised over $83M from top Silicon Valley investment firms.

We're looking for talented engineers who want to tackle hard technical challenges with smart people while building a creative platform that big companies and startups will rely on.

The job:

- Build distributed systems to process massive (billions of files, petabytes), amounts of image, video, and 3D data, solving scaling bottlenecks as you go.

- Learn ML engineering from world-class researchers on a small tight-knit team. You’ll contribute to foundation image, video, and world models from 0 → production, and see them used by millions.

- Play with huge Kubernetes GPU clusters; our main GPU cluster takes up an entire datacenter from our provider.

Tech stack: python, pytorch, k8s, a rotating cast of data tools (e.g. DuckDB, massive relational DBs, PyArrow, etc.)

You should apply if you are an excellent generalist engineer with strong backend experience and an intuition for systems design. Bonus points for experience with dist. systems, k8s, and existing ML or data experience (but not required!). Cool side projects are a green flag.

A few links about us:

- Sneak peek of our real-time video model → https://x.com/krea_ai/status/1961074072487620635

- Technical report for FLUX.1 Krea, our first open-source text-to-image model → https://krea.ai/blog/flux-krea-open-source-release

You can contact me at:

  d+hn@krea.ai