Find your next shift, anywhere.

Careforce AI·Remote (US)

Careforce AI (aka Helpcare)·Remote (US) Location: Remote (US) Remote: Yes (US Only) Willing to relocate: No Technologies: Python, FastAPI, React +11 more

Careforce AI (previously Helpcare)·Remote (US) Location: Remote (US) Remote: Yes (US Only) Willing to relocate: No Technologies: Python, FastAPI, React +11 more

Helpcare AI·Remote (US)

Prove AI·Europe, UK, United States +2 more

Gobii AI·Remote (US)

Lift AI·Remote (US timezones, LatAm/Canada OK)·USD 80,000 - 100,000 / annual

Latitude AI·Pittsburgh, Palo Alto, Dearborn +1 more

Blackshark AI·Full-time

Blackshark AI·Full-time

GameBrain AI ( )·Remote + Troy, MI (1-2 week paid travel per quarter)

Crew Capable AI·Remote (US Based) Automating order entry for mid-market manufacturers via AI. Working MVP, first enterprise contract pending ($500M company), entering implementation phase. Looking for employee #2 to own technical development and grow into co-founder. What You'll Do: Build ERP/EDI integrations +15 more

Scite (scite.ai)·Remote (US) We build AI-powered tools that help researchers and organizations make sense of the scientific literature. Small team, hard problems, real momentum. Our MCP server just launched +34 more

Ambito (ambito.io) — Founding AI Engineer / Equity Partner — Remote but Boston based only Ambito is a CRM-connected QBR generator for B2B sales teams. The product is live, with the sales module, template engine, and CRM integrations already built. We're looking for a founding AI engineer to make the product significantly smarter and broader. This is an equity-only role initially (10+ hrs/week), working directly with the founders and our existing technical partner. You'll work on: AI product features: Build a native assistant that can answer questions about customer data, surface trends, provide setup guidance, and help generate QBRs. Retrieval, tool use, structured-data queries, evals, and cost control. Customer Success: Extend the existing framework into account reviews, renewals, and customer health. Integrations: Harden and expand CRM/CS integrations (Salesforce, HubSpot, etc.). Product: Make the overall experience faster, simpler, and more AI-native where it actually helps. We're looking for someone who has shipped LLM features in production, not just demos, and is comfortable with retrieval, embeddings, tool calling, agent workflows, and evaluation. You should also be able to work across React, TypeScript, and Node (Firebase experience is a plus). You should think like a product engineer: turn varied customer requests into simple, flexible systems and work independently. Sales tech / RevOps / CS experience is a plus. Boston/MA is a plus. To apply: Send a short note with something you've built using AI and why this problem interests you. No cover letter. LinkedIn or contact@ambito.io.·Remote

Purple Candor LLC — AI Engineer — Remote / US (Sub-contractor- 6 month+) Looking for engineers who have actually built and shipped production systems — not just designed them. Cloud engineer + agentic engineering experience. Email jeremy@purplecandor.com with a short note and something you’ve built or shipped. If you’re an engineer who likes solving hard problems where the answer isn’t obvious, let’s talk.·Remote

P-1 AI·SF or Remote (US/Canada)

Founding Engineer (Security / AI / Distributed Systems) — Stealth Project Next-Gen Secure DePIN x Multi-Agent SLM Trading Platform (Stealth / DM for Proposal) We are building a highly secure, decentralized AI-automated asset management and trading platform running on edge DePIN nodes. The platform utilizes 10 specialized SLMs (Small Language Models) for asynchronous execution. To ensure absolute privacy for institutional and whale traders, we implement a hard-layered defense system. This eliminates the front-running and data-selling risks common in current "free" AI wallets. Tech we use: Cardano/Midnight (ZKP), Estonia UXP, KSI Blockchain, eBPF kernel monitoring, TEE (Intel SGX/AMD SEV), Wasm sandboxing, and NATS/gRPC for low-latency messaging. We are looking for TWO top-tier founding engineers to team up for our upcoming high-value Grant Proposals (Web3 Foundations & Enterprise). One will focus on Security & Infrastructure, and the other on AI & Distributed Systems. Details: - Location: Remote (Global / Target: Eastern Europe, GMT+1 to GMT+3 preferred) - Compensation (Pre-Funding): $150 - $300 setup/consulting fee upfront for a 1-hour alignment call and the legal right to include your profile/CV in our upcoming Grant Proposals. - Compensation (Post-Grant): Once funding is secured, contracted at a premium rate of $100 - $150/hr (Equivalent to a $300k annual salary range). - Benefits / Upside: NO EQUITY DILUTION. Instead, we offer a Milestone-Triggered Revenue Share. Once the platform hits $10,000 in Monthly Gross Revenue, a total of 5% to 10% of Gross Revenue will be distributed directly to the 2 founding engineers every month for 12 consecutive months. - Role: Full-time / Milestone-contract. Apply or request the full proposal document by emailing us at: tai3426g@gmail.com·Remote·USD 300,000

Clutch - building future of padel with AI cameras·Remote (our team is spread across GMT -4/+2/+8 timezones)

Director of Sales Legal Ark AI · First Sales Leader · Job Description · REMOTE (US) and talent@legalark.ai About: Legal Ark AI serves as the workflow intelligence engine for estate planning practices. Our platform converts unstructured client data into high-confidence, verified facts prior to document generation, empowering legal teams to accelerate throughput, mitigate risk, and scale efficiently without a linear increase in headcount. The Role: As our first Director of Sales, you will own new business revenue end to end and build the sales engine from the ground up. You will personally close early deals, figure out the repeatable playbook, and then hire and lead the team that scales it. What You’ll Own: - New business ACV: land our core market, estate planning firms with 1 to 25 attorneys, and structure larger deals where they make sense. Large litigation firms are not our market. - The playbook: build outreach, qualification, demo, and close motions from scratch; find the repeatable recipe, then document and scale it. - The team: hire and lead SDRs and inside reps as revenue supports, so you move from doing everything to leading a team that does. - The stack: own the sales tooling (prospecting, CRM, sequencing, automation) and choose what makes the team most efficient. - Pricing and packaging: partner with the founders on pricing, tiers, security and white glove options, and value gating; be the eyes and ears on what customers will pay for. - Market signal: feed product and customer success with what you hear in the field, and represent Legal Ark AI at industry events. What Success Looks Like: You ramp quickly to a new business quota (target Year 1 new ACV of approximately $3,000,000, roughly 250 seats at current pricing), establish a repeatable motion, and lay the foundation for a team that carries the company toward its growth and exit goals. Who You Are: - A proven B2B SaaS closer who has built processes, not just worked someone else’s. - Experienced selling to SMB and moving deals upmarket; comfortable running the full cycle, from first touch to signature. - Energized by an early stage, commission only structure where your earnings track directly to the revenue you bring in. - A builder and leader who can hire, coach, and scale a small team. Someone who can sell a product that augments attorneys and their staff rather than replacing them, and who is comfortable leading with verification and confidence in the data rather than speed alone. - Legal tech, AI, professional services, or legal sales experience is a plus, not required. Compensation: Uncapped commission·Remote

Hiring Tech Lead - Staff Backend Engineer - AI Engineer – REMOTE LATAM - We build AI tools that help high-volume law firms manage their caseloads more efficiently. Our first product—an AI assistant that transcribes and classifies inbound calls—is in production. We’re now expanding into case tracking, follow-ups, and full workflow automation. Looking for: Staff Backend Engineer Tech Lead: Lead a senior team, shape product and tech, work closely with founders. Senior Engineers (Backend, AI): Remote across LATAM. Build fast, useful tools. Small, experienced team. Real autonomy and product impact. Tech Stack: Python, TypeScript, Postgres, Kubernetes, GCP Languages: Spanish + English for leadership. English only OK for engineers. Apply here: tramcase.com·Remote

PrairieLearn (Remote US) — Full-Stack Software Engineer — TypeScript / Postgres / React / AI PrairieLearn ( ) is an open-source assessment platform used by universities across the US (Berkeley, Princeton, Michigan, Illinois, and others). We power mastery-based learning and large-scale exams. We’re a small, profitable, early-stage company (bootstrapped, no VC) that is growing quickly. Our users love us and we have very high retention and rapid spread through word of mouth. As an early-stage hire, you’ll work across the stack and enjoy meaningful ownership from day one. Tech we use: Node.js / TypeScript backend, Postgres, AWS, React. We’re also developing AI tooling, including LLM agents to help instructors create content, and vision-language models to help grade student work. PrairieLearn is open core: Details: - Location: Remote (US only) - Salary: $100k-$140k depending on experience - Benefits: Stock options (0.5% - 1.5%), unlimited PTO, flexible hours - Role: Full-time. (We’re not able to sponsor visas at this time.) Apply at·Remote

PrairieLearn (Remote US) — Full-Stack Software Engineer — TypeScript / Postgres / React / AI PrairieLearn ( ) is an open-source assessment platform used by universities across the US (Berkeley, Princeton, Michigan, Illinois, and others). We power mastery-based learning and large-scale exams. We’re a small, profitable, early-stage company (bootstrapped, no VC) that is growing quickly. Our users love us and we have very high retention and rapid spread through word of mouth. As an early-stage hire, you’ll work across the stack and enjoy meaningful ownership from day one. Tech we use: Node.js / TypeScript backend, Postgres, AWS, React. We’re also developing AI tooling, including LLM agents to help instructors create content, and vision-language models to help grade student work. PrairieLearn is open core: Details: - Location: Remote (US only) - Salary: $100k-$180k depending on experience - Benefits: Stock options (0.5% - 1.5%), unlimited PTO, flexible hours - Role: Full-time. (We’re not able to sponsor visas at this time.) Apply at·Remote

Location: Tbilisi, Georgia (GMT+4) Remote: Yes (required) Technologies: Ruby on Rails, Elixir, Phoenix, React, React Native, Node.js, TypeScript, PostgreSQL, Redis, AWS, LLM/AI Website: Resume/CV: LinkedIn: GitHub: Email: davit.khaburdzania@gmail.com 3x founding/first engineer with 15+ years shipping products from zero to scale. Most notably: founding engineer at EverAI — joined at zero, built nearly every core feature, grew to 20M users and $5M/month revenue. Pioneered production AI pipelines across LLMs, image generation, voice synthesis, and video — not API wrappers, full systems. Also: first eng at Shogun (YC W16, became category-leading Shopify app), CTO at AirHelp (concept to launch in 5 months), founded and scaled a 20-person dev agency. Most recently built an ad platform at TurbaMedia from zero to $24M+ annual spend in 6 months. Looking for: Early-stage startup where I can own product areas and work directly with founders. I've built entire products solo — I don't need hand-holding, I need interesting problems. Fully remote.·Remote

Location: Dubrovnik, Croatia (CET) Remote: Yes (remote only; EU/UK/US-overlap hours OK) Willing to relocate: yes Technologies: TypeScript, React, Next.js, Node.js/Express, PostgreSQL, Supabase, Prisma, Stripe (billing, webhooks), OAuth/JWT/RBAC, Anthropic/OpenAI APIs, RAG, Tailwind, Jest/Vitest/Cypress, Docker, GitHub Actions Résumé/CV: GitHub: LinkedIn: Email: lazarbukejlovic@icloud.com Full-stack / product engineer, 4+ years shipping production SaaS end to end. I lead a team of 5–6 engineers for an international client. Built operational dashboards used by ~10k monthly users, fixed duplicate-charge and sync bugs at the source with idempotent webhooks, and ship AI features that people can trust (cited evidence, confidence scores, human review queues). Also 3 years of customer-facing technical support, so I'm comfortable owning a problem from the customer report to the fix. Looking for: Product Engineer, Full-Stack, AI Product Engineer or Technical Support Engineer roles at small teams.·Remote

Location: San Jose, CA Remote: Open Willing to relocate: Yes Technologies: Python, TypeScript, React, Next.js, PostgreSQL, REST APIs, OAuth2, S3, Docker, AWS, GCP, Cloudflare, LLM APIs (OpenAI, Anthropic), MCP servers, speech-to-text, real-time voice AI, RAG, Stripe Résumé/CV: Email: meera@videotobe.com Open to contract work.·Remote

Hiring for several roles at StudyTurtle, an edutainment brand building learning videos for Education. Our small, passionate team creates animated shows for kids (ages 4-10) and we create our own tools to create the show faster. We want to help kids fall in love with curiosity and real-world learning. We use custom automation to speed up everything from story writing to animation. See what we’re making: Open Roles (REMOTE, non US): Animators (2D/3D or hybrid—experience with AI tools a plus) Director/Writer - Writer and storyboarder, good at storyboarding, storytelling, writing, and prompting Computer vision engineer - Must have deep experience with SVG programming and/or computer vision Why join us? -Fully remote, async-friendly Ship real things that impact how kids learn Fast, creative, zero-corporate-BS environment Must have at least 3+ hours overlap with PST hours. -Direct access to founders; real ownership -Opportunity to shape our tools and shows from the ground up To apply: Email jobs [at] studyturtle.com with your background, a few sentences about why edtech is important to you, any feedback on our episodes, and why this mission excites you. Take a look at the episode we posted and give us feedback on how you would make it better. Please include links to any relevant work. We are the hiring company and will reply to all genuine applicants. No recruiters, no agencies, please. Genre, co-creator StudyTurtle·Remote

Location: Buenos Aires, Argentina (UTC-3) Remote: Yes Willing to relocate: Yes, depending on the opportunity Technologies: Python, TypeScript/Node.js, React/Next.js, FastAPI, PostgreSQL, AWS, PyTorch, LLM/agent systems, TTS/voice cloning Résumé/CV: GitHub: LinkedIn: Email: ffranclarke@gmail.com Software / AI Engineer and recently graduated Systems Engineer with ~1 year of professional experience. At Neufitech, I work on voice technology for people with ALS, including voice cloning/TTS, audio processing, APIs, inference infrastructure, and integration into applications. For my engineering thesis, I built ManyHands, a multi-agent software engineering orchestrator that decomposes tasks into a hierarchical DAG, runs coding agents in isolated Git worktrees, evaluates outputs, and integrates results bottom-up. Primarily looking for Software Engineering and Applied AI / AI Engineering roles. Also very interested in MLOps, AI infrastructure, and cloud/platform engineering. I enjoy working at the intersection of software, models, and infrastructure, and owning problems end-to-end. Open to remote opportunities internationally and roles in Argentina.·Remote

Location: Dorset, UK Remote: Yes (UK, US and EU time zones) Willing to relocate: No Technologies: Ruby on Rails, Python (FastAPI), TypeScript/Node, Go, PostgreSQL, AWS, Hotwire Resume/CV: Email: wm@wagnermatos.co.uk Senior engineer, over 15 years. I build complete products: one senior engineer accountable end to end, AI accelerated. Recent work includes a clinical alerting platform used by NHS trusts, an edge to cloud analytics platform for Johnson & Johnson Medical, and the cloud platform behind a fielded detection hardware fleet. Also open to contract engagements. Case studies and client testimonials on the site.·Remote

Empower Pharmacy is hiring engineers to work on event-driven, distributed systems that actually run a real-world business (regulated pharma), not ad tech or yet another CRUD SaaS. We just filled one Staff Engineer role directly from my last LinkedIn post (thanks to everyone who shared/applied). Now we’re expanding the team: - 1 Staff Software Engineer - 4 Senior Software Engineers - 4 Software Engineers (new grad / early career) All roles are US-based (remote within the US). We’re a small team owning the core platforms that run manufacturing, operations, and logistics. A lot of the work is greenfield or foundational: distributed systems, workflow orchestration, reliability/observability, and making it all scale in a domain where correctness actually matters. Tech stack: Java / Spring Boot, React / Next.js, Azure (Service Bus, Kubernetes), SQL Server. Event-driven, service-oriented architecture at enterprise scale. We use AI-assisted development heavily in the workflow (not as a bolt-on), so if you already lean on tools like Copilot/LLMs, you’ll be at home. We’re setting up a round-robin “Virtual Interview Day” early next week so we can run both interview rounds in a single day for candidates who advance. The process is straightforward: practical discussions, system design, and code; no brainteasers. If you: - like thinking in terms of systems and failure modes, - are comfortable across the stack (or want to grow there), - and want your work to have direct impact on how a real business operates, then I’d like to talk. Job description and application: If you’d rather skip the form, email me or DM me and include a GitHub/LinkedIn/resume and a short note on what you’ve built.·Remote

At Tether ( ) we're hiring! We envision a world where technology enables financial freedom, educational empowerment, energy sustainability, and data sovereignty. All of our roles are fully remote, worldwide. Apply now: - Technical Lead (GPU Infrastructure): - DevOps Engineer (QVAC): - Software Architect (Tokenization): - Bare Developer (C / JavaScript): - Backend Developer (Wallets): - Frontend Engineer (QVAC): Research team: - AI Research Engineer (Model Compression & Quantization): - AI Research Engineer (Multi-Modal & Vision): - AI Research Engineer (Multi-Modal Reinforcement Learning): - AI Research Engineer (Agentic Post-training):·Remote

Hiring for several roles at StudyTurtle, an edutainment brand building learning videos for Education. Our small, passionate team creates animated shows and learning tools that help kids (ages 3-12) fall in love with curiosity and real-world learning. We use custom automation to speed up everything from story writing to animation. See what we’re making: Open Roles (REMOTE, non US): Animators (2D/3D or hybrid—experience with AI tools a plus) Writers Programming interns Why join us? Fully remote, async-friendly Ship real things that impact how kids learn Fast, creative, zero-corporate-BS environment Direct access to founders; real ownership Opportunity to shape our tools and shows from the ground up To apply: Email jobs [at] studyturtle.com with your background, a few sentences about why edtech is important to you, any feedback on our episodes, and why this mission excites you. Please include links to any relevant work. We are the hiring company and will reply to all genuine applicants. No recruiters, no agencies, please. Genre, co-creator StudyTurtle·Remote

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: 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:·Remote

SEEKING REMOTE UI/UX DESIGN OPPORTUNITIES Location: India Remote: Yes Willing to relocate: Open to discuss Technologies: Figma, Canva, Figjam, Notion, Miro, Visily, Maze, Jitter, Asana, AI, Framer, Wireframing, Prototyping, Mockups, Microinteractions, User Research, Competitive Analysis, User Flows, UI Design, UX Research, Product Management, Jira, Lottie Animations Portfolio: Email: sainianshima@gmail.com I'm a Product designer and manager looking for remote opportunities anywhere. Feel free to check my portfolio website.·Remote

At Tether ( ) we're hiring! We envision a world where technology enables financial freedom, educational empowerment, energy sustainability, and data sovereignty. All of our roles are fully remote, worldwide. Apply now: - Technical Lead (GPU Infrastructure): - AI Inference Engineer (QVAC): - DevOps Engineer (QVAC): - AI Harness Engineer: - Backend Developer (Wallets): - Technical Content Creator (P2P): - Product Designer (Wallets): - Event Design Coordinator: Research team: - AI Research Engineer (Model Compression & Quantization): - AI Research Engineer (Multi-Modal & Vision): - AI Research Engineer (Multi-Modal Reinforcement Learning): - AI Research Engineer (Agentic Post-training): - AI Research Engineer (Kernel & Inference Optimization):·Remote

Location: Bangalore, India (IST, UTC+5:30) Remote: Yes Willing to relocate: No Technologies: React Native, React, Next.js, TypeScript, JavaScript, Astro, Expo, Redux Toolkit, Zustand, React Query, Node.js, Express, MongoDB, Firebase, Jest, React Testing Library, GitHub Actions, Fastlane, AWS, Gemini API, Azure OpenAI, Claude Code, Cursor Résumé/CV: Portfolio: GitHub: LinkedIn: Email: hirepriyankasharma@gmail.com Mobile + web engineer with 6 years shipping consumer and fintech products end to end. Currently SDE2 at Zataverse (formerly Black Leaf Digital, LA-based, working async from India). Some things I've shipped: - Imaige ( ): built the site from scratch, including auth, payment gateway integration and onboarding, improving checkout reliability - Socialaize and Staryo: OAuth/social sign-in, push notifications, production stability fixes - Adecco app (700K+ daily users): white-label onboarding and eKYC; automated releases with Fastlane + GitOps (60% faster) and PR checks with GitHub Actions (40% less review overhead) - Torum Pay: push notifications with deep linking, reworked state management and cut app crashes 30% - EduFund: KYC for Indian and US investment accounts, push notifications that lifted new-user activity 47% Also: author of "AI + Gemini for Web Developers" ( ), and spoke at Microsoft Bangalore on taking Azure OpenAI integrations to production. Looking for: a remote React Native / frontend / product engineer role on a product-focused team, ideally where AI features are part of the product. Happy to own features end to end.·Remote

Location: Pisa, Italy (CET) Remote: Yes, remote only Willing to relocate: No Technologies: Python, LLM/agent orchestration, local embeddings, retrieval evaluation, AWS (Lambda/SQS/EventBridge), Terraform, Django, PostgreSQL, LightGBM/PyTorch, NLP/Transformers Résumé/CV: linkedin.com/in/vslovik Code: github.com/vslovik/fenix — local-embedding search whose relevance is actually measured: labelled control probes, blinded human ranking, precision@k. No API keys. Email: valeriya.slovikovskaya@gmail.com Software architect, 15+ years in production systems, almost entirely startups and internal startups — fintech, e-commerce, pharma, publishing. The work I get pulled into is the recurring startup problem: a service shipped fast under launch pressure, without adequate tests, that later has to be made reliable without being stopped. Incident response, re-architecture, and the release discipline that keeps it from happening again. Most recently that has meant a regulated UK consumer-credit platform — loan servicing, arrears, forbearance, statutory breathing space, and early-settlement calculations written against consumer-credit legislation. Regulation as code, behind a test suite larger than the production codebase. I've done that in all three configurations: taking a core system from problem statement to release, leading the team that carried it (1 to 7 engineers in ten months), and now doing the same work again with agentic tooling covering what the team used to. On the data side: a LightGBM acquisition model over a 38M-row base — 0.77 test AUC, 8x lift in the top 1% — scoring 2.9M households for a live campaign. The part I'd rather be judged on is what happened next: I found a validation-set defect in my own pipeline (early stopping on the test split), quantified its effect across every figure I had already reported, restated them, and added a pure-noise regression test that pins the model to chance when fed random features — so that class of leak cannot come back quietly. NLP is hands-on rather than API-deep: my degree thesis fine-tuned BERT, RoBERTa and XLNet to state of the art on the FNC-1 stance-detection benchmark, published at LREC 2020. Building on my own time: github.com/vslovik/fenix — it ranks an incoming stream against a free-text description of what you're looking for, and answers questions over the same corpus with citations back to source chunks. Ollama embeddings, sqlite-vec, no API keys. The part worth looking at is the evaluation: the ranking anchor is scored against a labelled probe set with a deliberate control group of things I don't want, and live results are rated blind — scores hidden, order shuffled — so the human judgement stays independent of the ranking it is judging. Doing that produced a measured finding I did not expect: an embedding has no notion of negation, so naming a technology in order to reject it moves the anchor toward it. Numbers and method in lessons/embedding-anchors.md. Also a tool-calling agent that turns unstructured regulatory text into a deterministic calculation pipeline — the model does the extraction, a deterministic engine does the arithmetic. Looking for agentic AI/LLM engineering, LLM evaluation and observability, AI integration, or software architecture. Founding-engineer shape suits me — early employee, not co-founder, but early enough to be in the room where the work gets defined. Direct with the company that owns the product: not consultancy, not agency placement, not a body on someone else's engagement.·Remote

Distru ( )·AI Product Engineer

Rechat·Remote Rechat is the leading AI-powered operating platform for real estate brokers and agents. Think Shopify for real estate—a mobile-first super app with marketing automation, workflow management, and everything agents and brokers need to run their business in one place. We’re a small +7 more

Greywatch·Remote Greywatch is building an AI security and governance platform that gives companies visibility into how AI agents are operating across their infrastructure, from the kernel to the network. We’re actively looking for a *Co-Founder & CEO* to take an existing MVP and early commercial pipeline to market and help scale the company. We’re looking for someone with experience in early-stage / 0-to-1 company building, enterprise B2B sales +5 more

ORIGAMICS·Remote (US) Origamics is building AI models that reason about hardware and electronics systems. We turn existing schematics into production ready boards, helping hardware design move at the speed of software. We’re hiring our first founding engineer to work directly with the founders. You’ll own product architecture, services +11 more

PetsApp – The future of pet care·Full-time We’re building an AI-powered clinic assistant that actually gets things done—booking appointments, managing vaccine records, handling FAQs +12 more

This Dot Labs·Remote This Dot Labs is an AI-native software engineering consultancy with a Remote-first, global team. We help companies design, build +8 more

Instinct Science·Remote (US) Instinct Science is the AI leader in veterinary medicine. We build the platform that powers animal hospitals — a cloud-native EMR with real-time clinical decision support and applied AI that helps veterinary teams practice at their best. Thousands of users across the globe rely on what we ship every day. We're at an inflection point: proven product-market fit, scaling fast, and greenfield work ahead that will serve tens of thousands of users. Engineers here own problems end-to-end — from talking to veterinarians about their biggest frustrations +14 more

Instinct Science·Remote (US) Instinct is building AI-forward SaaS products that serve the veterinary world. We are growing our talented Engineering team and looking for people who thrive with autonomy and want to solve hard problems. Stack: Elixir, React, AWS +1 more

Analogy Group·Remote Analogy Group is an early-stage startup building AI-enabled political intelligence tools. We ingest data from across the news, web, and social media and create in-depth reports and visualizations. We are mission-driven +6 more·USD 30 - 60 / hour

Fliplet·Remote https://careers.fliplet.com/#jobs Fliplet is an AI-led software creation platform helping organizations build secure mobile and web applications faster. We help enterprise teams move from idea to production-ready software using AI prompts while maintaining the governance, security, and control required for business use. We are growing and currently hiring for two roles: 1) Technical Team Lead

ELDRICK ( )·Remote (US preferred) ELDRICK is building the world’s fastest-growing AI golf club fitter. We recently launched our beta & fittings are growing quickly. We now need an ML Engineer who golfs to fine-tune our existing model for best-in-class fittings. Non-golfers will not be considered. You’ll: - Fine-tune and optimize our current ML model for accuracy + trust - Work with swing/ball data (club speed, ball speed, spin +3 more

Oscilar.com·Remote (US/Canada/Brazil/Poland/UK/India) Full-time AI Risk Decisioning™ platform that helps organizations manage onboarding, fraud, credit +1 more

Legion Intelligence·Remote (US) Legion is building a platform for governed agentic AI, primarily for government customers. Legion has interesting engineering challenges ahead of us, and we are looking for backend engineers who are interested in solving them. Our customers run our full platform both in their data center and on their laptop. The network conditions our platform operate in will vary. Our platform needs to meet these challenges. Stack: Rust +5 more

Oscilar.com·Remote (US/Canada/Brazil/Poland/UK/India) Full-time AI Risk Decisioning™ platform that helps organizations manage onboarding, fraud, credit +1 more