Location: India Remote: Yes Willing to relocate: Bengaluru / open to the right opportunity Technologies: Python, TypeScript, FastAPI, Next.js, LangGraph, LangChain, RAG, MCP, Qdrant, pgvector, PostgreSQL, Docker, AWS Résumé: https://namangupta.dev Email: [naman@namangupta.dev](mailto:naman@namangupta.dev)

AI Systems Engineer working on production LLM systems, RAG, agents, and evaluation.

Currently building multi-agent and retrieval systems handling 500+ daily queries. Experience with chunking, embeddings, reranking, vector databases, Precision@k / Recall@k / MRR evaluation, latency optimization, and production deployments.

Built MCPHub, AgentMesh, and a RAG evaluation harness.

Looking for full-time remote AI/backend roles or contract work with startups building agents, document AI, enterprise AI, or retrieval-heavy products.

GitHub: https://github.com/namanxdev

BOSS-IQ | CTO Partner | REMOTE (worldwide) | Full-time | Istanbul-based company | https://boss-iq.com

BOSS-IQ is an AI strategic-planning product for owner-operators of small and medium businesses. The boss describes an idea that has been stuck for years; a research-and-question session returns an implementation-ready plan. In production since June, hand-onboarding our first paying customers since August, invitation-only.

I am looking for a partner rather than a first hire, and I need two things in one person. An experienced developer who has genuinely run software in production — deployments, incidents, on-call. And a black-belt prompter. I mean that as a level, not a flourish. The tell: if you watch other developers work in AI environments and feel real frustration — everyone prompts, most prompt badly — and you have quietly built your own standing rule files, your own context discipline, your own reusable prompt library, then you already know what I am describing. That is the rarer of the two skills, and the one I weight hardest.

Under the product, 60+ specialist agents run continuous extraction over each customer's documents and sessions into a persistent, per-company memory: every fact dated and traced to its source sentence, contradictions kept rather than overwritten — a discipline we call Total Capture. Patent-pending since July, in context engineering.

Stack: TypeScript throughout. A NestJS API plus a separate NestJS worker on Railway, Next.js 16 / React 19 on Vercel, Postgres with Prisma, Redis and BullMQ, Pinecone, S3-compatible storage. Agents are LangChain.js / LangGraph ReAct agents on Anthropic Claude across three model tiers, with OpenAI embeddings. Every prompt body and model config lives in one versioned master file synced to LangSmith, never hardcoded in TypeScript.

I am the founder, and not an engineer — thirty years a strategy consultant, first terminal at the end of 2022. A contract developer built the first ~20,000 lines between December and February. Since February I have been the only developer, and it is now about 264,000 lines of TypeScript. I wrote the prompts first, 18,500 lines across 79 agent files, and the code came after to serve them.

That was the environment, not me: 45 interconnected instruction files deploying sub-agents, around 300,000 words of standing rules, orchestrated by one always-on kernel that classifies each session, auto-attaches the rules matching the files being touched, and generates sub-agentic plans for the work.

Compensation is the honest startup shape: generous equity, austerity salary. No number here — it is set against what you currently earn, and that is a conversation rather than a billboard.

Full posting: https://boss-iq.com/cto-partner.html

Apply: https://boss-iq.com/apply-cto.html — one question at a time, ending by asking you to write the prompts you would use on day one, not code. I read every one myself.

Or write to me directly: ahmet@boss-iq.com

Founding Engineer with 15 years in IT. I build and ship business projects from scratch, backend, frontend, infrastructure, and I'm strong in AI (LLM integration, RAG, fine-tuning).

Happy to take full ownership of the technical side of a startup and move fast without a team behind me. Open to joining as a founding or technical co-founder, or first engineer.

Technologies: Python, FastAPI, TypeScript/Next.js, React, LLM/RAG (LangChain, LoRA/QLoRA fine-tuning on LLaMA/Mistral/Gemma), data engineering (DWH, ETL/ELT, Airflow, Spark), PostgreSQL/ClickHouse, AWS, Docker

Email: berd@digitalberd.com

Confido Legal | Sr. Engineer | REMOTE (US only) | Full-time | $175k–$225k base

Confido Legal builds payments infrastructure for the legal industry. We're hiring a senior engineer to design, build, and maintain our software — leading architecture and product design, and translating business requirements into technical specs.

This is a broad, high-ownership role on a small team: you'll ship and maintain features end-to-end, lead architecture discussions, write clean and testable code, build automated E2E tests, do code reviews, and participate directly in company strategic planning. You'll also work closely with marketing and sales to keep technical work aligned with the business.

Stack: TypeScript everywhere, React + Next.js (mid-migration to Next.js), AWS with Pulumi IaC, Docker/ECS, GraphQL API, Figma (engineers participate in UI/UX).

We're looking for an expert in three or more of these (TypeScript required) with 3+ years of engineering experience.

~2 onsite meetings/year. Open PTO, fully paid medical/vision/dental. Apply: https://careers.confidolegal.com/careers/sr-engineer

SEEKING WORK

Location: Florianopolis, Brazil (UTC-3)

Remote: Yes, preferred. Open to relocation to the US, EU, UK or Canada with visa sponsorship.

Willing to relocate: Yes, with sponsorship.

Technologies: Java (10 years) / Spring Boot, Kotlin, Redis, ClickHouse, MySQL / MariaDB / PostgreSQL, Docker, Ansible, Linux, AWS, Kubernetes, Helm, ArgoCD, Terraform, Grafana, TypeScript / Next.js. Secondary: Go, Rust, Python. Claude Code daily for the last 11 months.

Resume/CV: https://lucasfrederico.dev

GitHub: https://github.com/lucasfrederico

Email: lucas.frederico@outlook.com.br

About me. Senior backend engineer, ten years on the JVM. Since 2021 I have been one of the engineers behind LoverCraft, a US survival network that peaks at 1,500 concurrent players and holds 300 to 450 on a normal evening, with 30+ cross-server services spread across several Debian hosts. Team of three to five. My work is low-latency cross-server state over Redis, an economy with an audit row per transaction, JVM tuning, and end-to-end telemetry on ClickHouse. When a backend goes down mid-session, players notice in seconds and I am in the incident channel.

Before that, five years at Senior Sistemas building Java, Spring Boot and Angular for Kinross Gold, Petrobras, Banco BMG and Grendene. Intern to owning the software factory's architecture area.

Production work is closed-source under contract. The open-source side is on GitHub, written up on the site. Best fit: real-time or high-throughput backends, game and multiplayer infrastructure, platform work. English is fluent written, intermediate spoken.

Interview Resources | 2 Full Stack AI Engineer, 1 GTM | REMOTE | Full-Time | $250k seed raised

Interview Resources is building an AI-powered deep research platform for interview preparation. Instead of generic interview guides, we autonomously research company-specific interview experiences across Reddit, YouTube, LinkedIn, engineering blogs, company websites, Glassdoor, and other public sources, then generate structured preparation reports in minutes.

We are already profitable with 3k+ paid users.

Our stack currently includes Next.js, React, TypeScript, Node.js, PostgreSQL, Docker, Vercel, AWS, and modern AI tooling. Experience with LangGraph, LangChain, MCP, RAG, vector databases, or AI agents is a strong plus, but curiosity and the ability to learn quickly matter more.

We're looking for someone who:

Has strong full-stack engineering skills. Has built and deployed production applications. Loves working with AI and LLM-powered products. Takes ownership and ships quickly. Has personal projects or open-source work they're proud of.

Expected salary: $30k – $90k (flexible based on experience, impact, and per capita)

Expected Joining Date: 1st October

To apply, visit https://www.interviewresources.app/careers (No Email; my email is spammed) with:

1. Your CV/Resume. Your GitHub profile.

2. Why do you like InterviewResources? (product-driven answer) Log in to the site and just see some sample reports.

3. One piece of work or project you're most proud of (include links if possible).

4. Please include your expected salary and location in your application.

Human-written messages are more likely to get a response.

Try: https://www.interviewresources.app

Artificial Analysis | San Francisco & Melbourne | On-site | Full-time | No visa sponsorship

Artificial Analysis is the leading independent AI benchmarking company. We evaluate frontier language, image, video, speech and hardware systems across quality, speed and pricing. Our work is used by AI labs, engineers, enterprises, investors, policymakers and major publications to understand how the frontier is moving.

We’re a team of 40+ and expect to roughly double this year. We’re hiring across: - AI/ML and research: Senior AI/ML Engineer; Members of Technical Staff focused on applied AI research, language-model evaluations, inference, speech, AI hardware and robotics - Software engineering: Senior Full-Stack Software Engineer working with TypeScript, Next.js, PostgreSQL/Supabase and data visualization - Forward-deployed engineering: Language Models and Media Generation - Product: AI Hardware, AI Speech, and Image & Video Generation - Commercial: Technical, client-facing MTS roles for people from strategy consulting or technical/startup backgrounds - Operations and recruiting: Business Operations Manager and Senior Technical Recruiter

You’ll work directly with frontier models and the organizations building them, help define how AI systems are evaluated, and publish data and analysis used across the industry.

Important: these are in-office roles in San Francisco or Melbourne, depending on the role. We are not hiring remotely and cannot sponsor visas. You must already have authorization to work in the US or Australia. Roles and applications: https://jobs.ashbyhq.com/artificialanalysis

DrSwarm | CTO Cofounder | Bay Area | Full-time

Building AI agents that automate the work of outpatient healthcare practices.

I'm the former co-founder/CEO of DrChrono (YC W11).

Looking for an exceptional hands-on technical cofounder who wants to build a ton of product — not manage an engineering org. You'll code every day, own the architecture, work directly with customers, and help define what we build.

Python/Django, Next.js, Postgres, AWS, LLM/voice/agent infrastructure.

Bay Area strongly preferred. Cofounder-level equity + salary.

Email: jobs@drswarm.com include CTO in email subject

River (AI voice agents for B2B sales) | New York, NY | ONSITE | Full-time

We build AI voice agents that run live B2B sales calls — real-time voice, browser-driven product demos, automated follow-up. We're pre-seed, backed by the founders of Ramp, Kalshi, and JumpCloud, revenue is on, and demand is already outpacing what we can serve. It's a genuinely fun problem, and we'd love to find the right people to build it with.

We're hiring two founding engineers. To save everyone's time, here's what the role really needs — if a few of these are a strong yes, we'd love to hear from you:

NYC-based and up for working in person (5 days). We're not able to do relocation or visa sponsorship right now. TypeScript/Node as your main production stack — the one you actually ship in day to day. You've shipped real software that real people used — something in production, with revenue, or a startup you built (not tutorials or coursework). You've built something real with LLM APIs. You like owning things end to end — finding the problem and fixing it without waiting for a spec.

Two levels:

Founding Backend Engineer (5+ yrs): real-time/streaming depth (WebRTC, voice, low-latency), plus infra and reliability ownership. Founding Product Engineer (2–4 yrs): frontend-leaning (React/Next.js), customer-facing, CS degree or equivalent standout shipped work.

No need for a formal resume — just send a link to something you're proud of that real people used, and a line on what you owned. We read every one.

→ tarek@rivergtm.com

Deya | Multiple Roles | New York, NY | HYBRID (NYC) or REMOTE | Full-time | https://deya.health/careers/

Everyone in health AI is chasing scribes and diagnostics. Almost no one is building the longitudinal data layer that captures what actually happens to patients over time. That is the real moat, and we are building it for eye care.

Deya sits between doctor and patient, capturing symptoms, treatments, outcomes and ocular images over time. Clinician-led, piloting with eye doctors, and we hold the largest dataset of eye images captured on smartphones. We build with AI tools daily.

Three roles, all high ownership:

Software Engineer (AI x Healthcare) - Product and infra from 0 to 1. Next.js, backend, cloud, agentic workflows, longitudinal clinical data.

Mobile Engineer (React Native, Swift, Kotlin) - A modern phone is already a clinical instrument and almost none of it has been pointed at eye care. Own the app and its UX end to end.

AI Engineer (Computer Vision + LLMs) - Own the vision pipeline turning phone photos into clinical signal, plus the LLM systems reasoning over patient history.

We have a proprietary clinical dataset and because we control capture, you can improve the data itself rather than model around its limits. Optometrists and ophthalmologists in-house to define ground truth and validate the work. Competitive salary plus equity.

All three roles and apply: https://deya.health/careers/

Jawa.gg | Software Engineer | Boulder, CO or remote | Contract or Full Time

Jawa is the marketplace for gamers - think gaming PCs, GPUs, consoles, and the like. We're a small, VC-funded team with a big business, and have been operating since 2021.

We're are looking for full-stack software engineers to build and maintain our peer-to-peer marketplace. The tech stack is mostly Typescript, with Next.js, Node.js, Postgres, and other fairly standard web-tools / infra.

Learn more at https://jawagg.notion.site/Full-Stack-Software-Engineer-412c...

Silkline | Software Engineer | Chicago, Seattle | ONSITE (5 days/week) | $150k-$225k + equity | https://silkline.ai

Modern hardware supply chains run on spreadsheets, email, PDFs, and prayer. It's like fax woke up in 2026. We're fixing it with an AI-first procurement platform for aerospace, defense, and nuclear manufacturing - customers include Machina Labs, Astranis, K2 Space, Castelion, and Antares.

At SmallSat last month, a supplier walked up to me (in a full spacesuit costume), said "oh you're from Silkline, we love you guys!" and handed us a roadmap item on the spot. That's the job: sit with customers, hear what's broken, ship it. 0-1 product, real UI/UX ownership, ERP integrations that sync POs and manufacturing data.

Stack: TypeScript, React, Next.js, GraphQL, Trigger.dev. You: 5+ years full-stack, startup or 0-1 experience, fast with APIs (bonus: ERPs). The role touches ITAR-controlled data, so US persons only, no visa sponsorship.

We 5x'd our customer base this past year and continue to grow fast. Small team, direct line to the founders (Isaac and myself). Also: space-suited mascot named Silky.

Apply: https://jobs.gem.com/silkline/am9icG9zdDrLwsEQTKKa02Ut_F9kgz... Questions? brent+hn@silkline.ai (mention HN)

Monumint (YC W24) | https://monumint.com | Full Stack Engineers | SF In-Person | Full Time | $125k–$225k • 0.50%–1.50% Tech stack: TypeScript | Node | React/Next.js | Postgres | Docker | K8s | LLMs

We’re building the Voice AI infrastructure layer for financial services. Banks and fintechs use Monumint agent to automate loan origination, account opening, servicing and customer engagement.

You’ll work on:

1. Driving down voice latency to human-conversation levels while scaling to thousands of concurrent calls

2. Deploying agents that run durable workflows across days or weeks, maintaining state across calls, tools, documents, and human handoffs

3. Making AI agents reliable and observable in a financial workflows: tool calling, evals, guardrails, and deterministic fallbacks

We’re early, you’ll have a huge impact. Email me (my name at the URL) or apply here: https://www.workatastartup.com/companies/monumint

Location: Córdoba, Argentina Remote: Yes, remote only Willing to relocate: No Technologies: TypeScript, React, Next.js, Node, GraphQL with Apollo, Playwright, SQLite, Postgres, LLM agents, MCP servers, RAG, promptfoo evals, OpenTelemetry Résumé/CV: https://portfolio-aguirre-alexis.vercel.app GitHub: https://github.com/ale-aguirre Email: aguirrealexis.cba@gmail.com

Full-stack dev, 5+ years, last year spent building LLM products rather than demos.

I have a document comparison SaaS running in production at an Argentine auto parts manufacturer, 72 employees, in a domain audited against IATF 16949 and ISO 9001. Two people there use it for their actual work. The interesting part is not the LLM call, it is the semantic reclassification I run after it, because the model kept flagging paraphrases as real differences.

I also run an autonomous job search agent on my own search. The useful thing it taught me was that my own verifier was lying. It counted a URL redirect as a successful application, and one integration had been failing at zero percent for months while the aggregate sat at seventy eight.

A job posting with hidden instructions once got that same agent to write ten years of Kubernetes into my CV. The system prompt did not stop it, a deterministic validator did. I published that as intent-gate on npm.

Yesterday I shipped a PR and two issues to an open source AI SDLC project, one of them about an agent being able to write the field that marks its own check as platform verified.

Open to full-time or contract.

Shepherd (Series B) | ONSITE | San Francisco, CA

At Shepherd, we're pursuing the most ambitious technical vision in commercial insurance: fully autonomous underwriting. Shepherd is an AI-native commercial insurance platform transforming how high-hazard industries get covered.

The infrastructure behind the AI boom (data centers, semiconductor fabs, renewable energy assets) has to be built and insured, but traditional carriers weren't built for this speed. We built Shepherd to solve that.

We announced our $42M Series B earlier this year! That brings our total funding to over $60M — led by Intact Private Capital, the investment arm of one of the largest insurers in the world. Intact is not only our lead investor but also a carrier partner, a testament to the confidence the incumbent industry has in what we're building.

We’re looking for product-minded, high ownership engineers to join our team! The Engineering team is HQ’d in SF, but we’re growing in NYC now too!

We’re hiring for 4 Senior SWEs, 1 MLE and 1 AI PM in SF, and 2 Staff SWEs in NYC. Engineers own projects end-to-end so full stack ability is expected.

Check out our open roles here: https://shepherdinsurance.com/careers

Our stack includes: Typescript, React, Next.js, GraphQL w/ Apollo, Node.js, Postgres & Redis

– If you have experience building AI agents or multi-step reasoning systems, we’d love to hear from you.

* In the form, be sure to mention that you heard about this opportunity via Hacker News.

If you want to read more about our team and culture, check out our blog: https://shepherdinsurance.com/blog