CVector | Senior Software Engineer – Backend & AI Infra | New York City (FiDi) | ONSITE | Full-time | VISA SPONSORSHIP

CVector builds software to bring real-time economic optimization and AI prediction to every energy and manufacturing plant. We fuse live asset data with market dynamics into one decision layer that continuously forecasts, simulates, and optimizes — so plants run closer to their true economic potential every day. CVector recently raised $5M seed, read more on TechCrunch: https://techcrunch.com/2026/01/26/ai-startup-cvector-raises-...

We're looking for a senior backend engineer to evolve our core platform — time-series data systems, AI-assisted analytics, cloud infrastructure, and data ingestion pipelines. You'll take ownership of complex systems, drive major technical migrations, and shape how intelligence is embedded into industrial energy workflows. Think: AI evals and prompt engineering, MQTT ingestion pipelines, time-series schema design, PostgreSQL infrastructure, and ML platform support.

Stack: Python, TypeScript, Supabase, PostgreSQL, MQTT, TigerData, InfluxDB, AWS. 5+ years experience building production backend systems. FinTech, quantitative analysis, or econometrics background is a strong plus.

$125K–$150K + meaningful equity. Reach out to me at jnapoli+hn@cvector.com

WebMCP should be a really easy way to add some handy automation functionality to your website. This is probably most useful for internal applications.

CVector | Software Engineers, Senior Research Engineer | New York City (FiDi) | ONSITE | Full-time | VISA SPONSORSHIP

CVector builds software to bring real time economic optimization and AI prediction to every energy and manufacturing plant. We integrate real-time data visualization and analytics to help power generation stations, chemical plants, and other critical infrastructure make informed decisions in rapidly changing environments. You'll help create intuitive, robust web apps, machine learning models and backend systems, shaping tools that directly impact industrial operations and energy reliability. Build AI agent systems that automatically foresee upcoming problems and provide possible solutions.

CVector recently raised $5M seed, read more on TechCrunch: https://techcrunch.com/2026/01/26/ai-startup-cvector-raises-...

Full Stack and Backend Software Engineers: We're looking for a passionate Software Engineers comfortable working across our stack (Python, Typescript, React, Supabase, MQTT, TimescaleDB, PostgreSQL, AWS, FastAPI) or someone to specialize in our backend infrastructure.

Senior Research Engineer: Candidates should be experienced with machine learning, and analysis using Python.

Reach out to me at jnapoli+hn@cvector.com

This looks nice! I like the idea of providing more deterministic feedback and more or less forcing the assistant to follow a particular development process. Do you have evidence that gtg improves the overall workflow? I think that there is a trade-off between risk of getting stuck (iteration without reaching gtg-green) versus reaching perfect 100% completion.

I found that it has improved overall code quality significantly, at the cost of somewhat slower velocity. But it has meant fewer interruptions where the ai is just waiting for me, or saying "Everything is ready!" only to find that ci/cd failed or there were clearly existing comments/issues.

Merry Christmas from Rhode Island!

See discussion on AWS's report here: https://news.ycombinator.com/item?id=45677139

Yeah, maybe it would be nice to have a fast-track onboarding option for common goals: lose weight, finish homework or chores, etc.

I don’t think that “Claude Code” is relevant to this semantic grep tool.

bear in mind that Claude Code by default uses grep - if you watch you'll see if it's looking for something it doesn't know the name of, it flails around with different patterns. Try this tool, tell CC to take a look using ck --help and take it for a spin.

CC in my case likes it so much, it started using it to debug the repo rather than grep and suggesting its own additions

Note that it’s grep AND semantic - so Claude can start with a grep strategy and if it finds nothing can switch to semantic, and since it’s local and fast, it keeps in sync easily enough

How do you tell CC to use it? Just as an entry in Claude.md?

To start with just tell it- but yes Claude.md works too.

“We have a new grep semantic hybrid tool installed called ck - check it out using ck --help and take it for a spin”

Yes, this is it. When I'm experimenting, I'm happy to pay an extra $40 for the name-brand device that has 1000s of blog posts supporting it, since it's probably this community is going to help me be more successful and learn faster.

I would reconsider the choice when I have a commercial product that I have some scale of production, where a few bucks off the BOM is important.

CVector | Full Stack Software Engineer | USA | REMOTE | Full-time | $75k – $120/yr + 0.3% – 1%

CVector builds software to make energy systems smarter, more reliable, and autonomous. We integrate real-time data visualization and analytics to help power generation stations, chemical plants, and other critical infrastructure make informed decisions in rapidly changing environments. You'll help create intuitive, robust web apps and backend systems, shaping tools that directly impact industrial operations and energy reliability.

Remote-first team with occasional domestic travel to connect with users directly. Recent graduates may need to relocate.

Full Stack Software Engineer: We're looking for a passionate Full Stack Software Engineer comfortable working across our stack (Python, Typescript, React, Supabase, MQTT, TimescaleDB, PostgreSQL, AWS, FastAPI).

Reach out to me at jnapoli+hn@cvector.energy