Jobs AI

Dinarys is an Ecommerce Development Company helping retailers, brands, and manufacturers across DACH, the UK, and the US build, scale, and optimize their digital commerce solutions through custom development, architecture consulting, integrations, and AI-driven innovation.

We’re looking for an AI Solution Architect to lead the design of enterprise-grade AI solutions that solve real business challenges across e-commerce and digital commerce.

This is a strategic, hands-on role for someone who combines deep software architecture expertise with practical experience building AI-powered systems. You’ll work closely with clients, engineering teams, and company leadership to design scalable AI architectures, identify high-impact use cases, and drive AI adoption across customer-facing products and internal engineering processes.

You’ll play a key role in shaping Dinarys’ AI practice by defining architectural standards, evaluating emerging technologies, and helping both our clients and engineering teams successfully leverage Generative AI, AI Agents, Retrieval-Augmented Generation (RAG), and modern cloud-native architectures.

Requirements:

• 4+ years of experience in Solution Architecture, Software Architecture, or Senior Software Engineering.
• Commercial experience designing and delivering AI-powered solutions.
• Strong understanding of Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, and modern AI workflows.
• Experience integrating AI services from providers such as OpenAI, Anthropic, Google, Azure OpenAI, AWS Bedrock, or open-source models.
• Understanding of MCP (Model Context Protocol) and modern agent-based architectures is a strong advantage.
• Experience designing cloud-native and microservice architectures.
• Solid understanding of APIs, system integrations, authentication, and scalable backend architecture.
• Experience working with international clients and participating in technical discovery sessions.
• Strong communication and presentation skills.
• Excellent problem-solving and analytical thinking.
• Strong hands-on experience with PHP and modern PHP ecosystems/frameworks, including Laravel or Symfony, REST APIs, microservices, messaging, databases, and cloud-native architectures.
• Proven experience leading the architecture and delivery of production-grade PHP backend systems.
• Proven experience introducing AI tools and AI-enabled SDLC practices across an engineering organization, not only within individual projects.
• Experience defining adoption strategies, engineering guidelines, security guardrails, training programs, and measurable success criteria for organizational AI initiatives.
• Technical leadership experience, including architecture ownership, mentoring, code review standards, and coordination across engineering teams.
• Upper-Intermediate English or higher.

Nice to have:

• Experience in ecommerce or retail technology.
• Experience with Shopify, Adobe Commerce (Magento), commercetools, BigCommerce, or other commerce platforms.
• Knowledge of AI evaluation frameworks, observability, and LLMOps.
• Experience building multi-tenant SaaS platforms.
• Familiarity with Computer Vision, recommendation systems, forecasting, or personalization engines.
• AWS, Azure, or Google Cloud certifications.

Responsibilities:

• Design end-to-end AI solution architectures for ecommerce and digital commerce products.
• Analyze business requirements and translate them into scalable AI solutions.
• Identify high-impact AI use cases across customer experience, operations, content, search, merchandising, analytics, and internal processes.
• Design architectures involving LLMs, AI Agents, RAG, vector databases, and modern AI infrastructure.
• Evaluate and recommend AI technologies, models, frameworks, and providers based on quality, cost, security, and scalability.
• Collaborate with software engineers to ensure successful implementation of architectural decisions.
• Create architecture diagrams, technical documentation, ADRs, and implementation guidelines.
• Define best practices for AI integration, governance, monitoring, and security.
• Participate in technical discovery sessions with clients and support solution proposals.

Conditions:

• Fully remote work.
• Opportunity to shape and lead the company’s AI direction and engineering standards.
• Work on cutting-edge AI, LLM, and Generative AI projects for international ecommerce clients.
• High level of ownership and direct collaboration with engineering leadership and business stakeholders.
• Access to modern AI tools and technologies.

Toronto time zone

We're looking for a mature, Senior/Lead PHP Engineer with deep Laravel expertise and hands-on experience building or integrating agentic AI systems. You'll take ownership of complex backend features end-to-end, mentor other engineers, and help shape how AI-driven automation and agents fit into our product and internal workflows.

About the client:

Our client is a leading online car marketplace group operating across Europe and North America, bringing together market-leading brands to shape the future of our industry by combining the best of both regions.

What You'll Do:

• Design, build, and maintain robust backend services and APIs using PHP and Laravel
• Own features from technical design through deployment and monitoring
• Integrate and orchestrate agentic AI workflows (e.g., LLM-based agents, tool-calling pipelines, autonomous task runners) into existing products or internal tooling
• Improve system performance, reliability, and security across the stack

• Stay current with the PHP/Laravel ecosystem and emerging agentic AI tools and patterns

   

What You Need to Succeed:

• 6+ years of professional PHP development experience
• 4+ years building applications with Laravel (or comparable modern PHP framework experience with strong Laravel proficiency)
• Solid database skills (MySQL/PostgreSQL), including query optimization and schema design
• Familiarity with containerization (Docker) and cloud deployment (AWS, GCP, or similar)
• Strong communication skills and the judgment to work independently on ambiguous problems
• Hands-on GenAI experience — you've built with LLM APIs, tool/function calling, retrieval, agents, or agent frameworks and put them into real workflows.
• Modern AI coding tools (e.g., Claude Code, Codex) are part of how you work day to day.
• Strong communication and collaboration skills — you work well in a team, share your opinions clearly, and can move a topic forward with people across functions.
• Solid engineering fundamentals: testing, debugging, code quality, and getting things production-ready.
• English - at least Upper Intermediate+

• Work in EDT (Toronto) time zone

   

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

Ender Turing | AI / B2B SaaS | Remote | B2B

About Ender Turing

Ender Turing is a product-focused AI startup building conversation intelligence solutions for international companies.

Our platform processes millions of customer conversations across voice and chat, turning them into actionable insights through speech-to-text, sentiment analysis, summaries, and real-time analytics.

We work with international companies including UNIQA Insurance Group, OTP Bank, NovaPay, Fozzy Group, and Dobrobut Hospitals, serving customers across Europe, the US, and Latin America.

We’re a team of 12+ people across engineering, product, and customer-facing roles. We move fast, take ownership, and build AI-powered products that solve real business problems in production.

Small team. Global customers. Real production systems.

What You'll Build

You won't just implement tickets. You'll help shape the architecture, influence product decisions, and take ownership of features from development to production.

• Backend: Build and scale Python/FastAPI services processing large volumes of conversations.
• Frontend: Develop real-time analytics dashboards using Vue 3, TypeScript, WebSockets, and data visualization tools.
• AI integration: Build product features powered by LLMs, speech processing, transcription, sentiment analysis, and summarization.
• System architecture: Improve the reliability, performance, and scalability of distributed services.
• Infrastructure: Work with Docker, Kubernetes, Celery, Redis, and OpenSearch.
• Integrations: Build and maintain integrations with CRM and contact-center platforms, including Zendesk, Genesys, and Vicidial.

Tech Stack

• Backend: Python 3.11+, FastAPI, SQLAlchemy, Celery, Redis, PostgreSQL
• Frontend: Vue 3, TypeScript, Vuetify, Vite, WebSockets, charting libraries
• AI: LLM APIs, audio and speech-processing pipelines
• Infrastructure: Docker, Kubernetes, AWS/GCP, OpenSearch, Traefik
• Engineering practices: Git, GitHub Actions, pytest, pre-commit

What We're Looking For

• 5+ years of professional software development experience building and maintaining production systems.
• Strong Python backend development skills and practical experience with FastAPI or similar frameworks.
• Hands-on experience with Vue.js and TypeScript, or a strong ability to work across both backend and frontend.
• Experience designing, building, and maintaining production-ready applications.
• Familiarity with distributed systems, asynchronous processing, databases, and API integrations.
• Daily use of AI coding tools to accelerate development, with the ability to critically review, test, and validate generated code.
• An ownership mindset: you can take a problem from understanding requirements to implementation, deployment, and production feedback.
• A pragmatic approach to engineering: you know when to move fast and when to invest in reliability and maintainability.

What We Offer

• Product ownership: Your decisions and code have a direct impact on the product.
• Real-world AI at scale: Work on systems processing millions of conversations.
• Fast feedback loops: Ship frequently and see your work reach production.
• Technical influence: Participate in architecture decisions and shape engineering practices.
• Modern stack: Work with Python, Vue 3, LLM integrations, and cloud-native infrastructure.
• Remote-first: Work remotely from anywhere with reliable internet.
• Direct collaboration: Work closely with the founders, engineers, and product team in a small, focused company.

Cooperation Model

We work exclusively on a B2B basis. You should have, or be willing to register, a sole proprietorship (FOP) or a company.

Hiring Process

1. HR introduction - 30 minutes: Your background, motivation, and expectations.
2. Take-home task: A small feature addition, designed to take no more than 1–2 hours.
3. Founder & Technical Interview: Discuss your experience, real-world systems you've built, technical skills, architecture decisions, and working style
4. Short CEO conversation.
5. Offer and reference checks.

We respect your time and aim to keep the process focused on practical skills and relevant experience.

How to Apply

Please share:

• Your CV & LinkedIn profile.
• Your GitHub profile.
• A project or technical challenge you're particularly proud of.

• A short note on why you're interested in startups, why now, and why Ender Turing.

   

If you enjoy building products, working across the stack, and using AI tools to solve real engineering problems, we'd love to hear from you.

About LNG365

LNG365 builds and scales premium consumer brands for global markets. Our founding team has a proven track record of building and successfully selling technology companies and digital products through major strategic deals.

We combine product thinking, performance marketing, and data-driven decision-making to build brands with long-term value. We move fast, avoid bureaucracy, and give our team real ownership and the opportunity to make a meaningful impact.

SMM Manager — DTC Brands & AI Characters
 

Remote | Full-time
 

About the Role :

We’re looking for an SMM Manager to grow TikTok and Instagram accounts for our DTC brands in the supplements, wellness, and health niches.

You’ll develop content strategies around virtual AI characters, spot trends, and turn them into engaging short-form videos for a US audience. You’ll work closely with an AI Content Creator who handles video and image production, while you focus on content direction, account growth, and performance.
 

Responsibilities :

• Develop SMM strategies and content plans for TikTok and Instagram.
• Create concepts for virtual characters, including their personalities, tone of voice, and storylines.
• Track trends, memes, and viral formats and adapt them to our brands.
• Brief and coordinate the AI Content Creator, providing feedback on content.
• Plan and manage consistent publishing across platforms.
• Analyze performance metrics and test new approaches to improve reach, engagement, and follower growth.
• Integrate products naturally into entertaining and trend-driven content.
   

Requirements :

• Proven experience growing TikTok and/or Instagram accounts, with examples of your work and results.
• Strong understanding of short-form video trends, viral mechanics, and audience engagement.
• Ability to develop content strategies and turn trends into creative ideas.
• Experience working with content creators or managing content production.
• Analytical mindset and ability to use performance data to improve results.
• Good understanding of US social media culture and trends.
• English proficiency sufficient for creating and evaluating content for a US audience.
   

Nice to Have :

• Experience with DTC, e-commerce, supplements, or wellness brands.
• Experience launching accounts from scratch and growing them organically.
• Experience with AI characters or AI influencers.
   

What We Offer :

• Remote work.
• Opportunity to build and grow social media accounts from the ground up.
• Creative freedom to test new formats, trends, and character concepts.
• Collaboration with an AI Content Creator and a team focused on creative experimentation and growth.

Remote · Full-time or part-time · Lean startup · Competitive (matched to level; discussed individually) + performance

About us

wehiremediabuyers.com — Western product team (Dubai / Cyprus) building a Genesis-style quiz → hard web paywall → app unlock growth op (web2app / web subscription). US-first Meta. Ukraine-remote talent. Lean: you are both the Meta buyer and the hands-on Head of UA until the pod scales.

This is product web2app — not nutra VSL, not Shopping PMax ecom, not gambling, not cloaking/arbitrage farms.

The role

Own Meta end-to-end for quiz → web paywall → checkout → app unlock:

• Build and run Advantage+ Sales for web Purchase / Subscribe (not app-install as the monetization event)
• Pixel + CAPI hygiene, dedupe, EMQ — signal stack you trust at scale
• Creative portfolio management: load diverse creatives into few ad sets; kill / promote; concept vs iteration tests
• Read creative-level diagnostics (thumbstop / hook / hold) and feed the Creative Strategist + PMM
• Unit economics: CPA, ROAS, trial→paid, LTV, payback / break-even days — not vanity spend
• US-first launch discipline; expand geos only after a theme works
• As lean Head of UA: process, naming taxonomy, weekly loop with PMM + Creative Strategist; hire/onboard the next Meta buyers later

Must-have experience (do not apply without this)

• Hands-on Meta on web2app / web subscription / quiz funnel / hard paywall products — you can walk ad → quiz → paywall → app unlock with real numbers
• Personal ownership of meaningful Meta spend on that vertical (target: six-figure monthly experience or clear path to it)
• Advantage+ / broad / creative-diversity literacy (Andromeda-era buying)
• Retention / payback literate — you kill high-CR themes that destroy LTV
• English B2+ for daily written work; Ukrainian or Russian fluent

Strong plus: Genesis-orbit background (BetterMe, MadMuscles, Nebula/OBRIO, Headway, Universe, AppFlame, Skelar, Promova, Boosters, Testora/Innerly-class); FunnelFox / Adapty / AppsFlyer; compliance-aware post-FTC paywalls.

Do not apply if your core is

• Nutra / supplement VSL only
• Google Shopping / PMax ecom catalogs as your main craft
• iGaming / gambling / betting / cloaking / account farms / “заливи” arbitrage
• Affiliate CPA / push / SMS / leadgen with no web quiz paywall
• Brand awareness / non-performance marketing

Nice to have — AI

We work AI-assisted day to day. Experience with AI tools for research, briefs, creatives, or analysis is a plus. If you are not deep on AI yet but curious and fast to learn, that is enough — still apply.

How to apply

Short message only: (1) which quiz / web2app / web-subscription products, (2) your role vs CP vs PMM, (3) Meta monthly spend + CPA/ROAS or payback you can stand behind, (4) US share of spend. No cover-letter theater.

About Osavul

Osavul is a product company building an AI-driven intelligence platform that helps governments, international organisations, enterprises and NGOs detect and counter hybrid threats. We're a fast-growing team on a mission that matters.
 

Role Overview

We're looking for a Senior ML Engineer to join our engineering team and help develop the AI capabilities behind our intelligence products, with a particular focus on NLP, information extraction, and knowledge graphs.

Our platform processes large volumes of data from multiple sources, including text, social media, imagery, and geospatial data. One of our key challenges is identifying entities and relationships across these sources and connecting relevant information so analysts can understand how actors, events and narratives relate across sources, locations, and time.

In this role, you'll work with traditional ML/NLP approaches and modern language models, contribute to the development of our knowledge graph architecture, and integrate models into production data pipelines. You'll be involved in technical decisions, from selecting and evaluating models to getting them into production.

We're looking for someone with a solid ML background who is equally comfortable writing production code. This is a hands-on engineering position focused on building and maintaining production systems, not a research role.
 

What matters most: production ML/NLP experience, hands-on information extraction, and experience designing and building knowledge graphs.
 

Requirements

Engineering Skills

• Strong Python skills and proven experience developing and maintaining AI/ML services in production.
• Experience with FastAPI, Docker, and asynchronous programming.
• Good understanding of databases, including PostgreSQL, Elasticsearch, and vector databases.
• Experience integrating ML models into distributed data pipelines using tools such as Celery, RabbitMQ, Apache Kafka, or similar technologies.
• Solid software engineering practices, including writing maintainable code, testing, debugging, and supporting production systems.

AI Skills

• 3+ years of hands-on experience in ML/NLP engineering, including deploying models to production and supporting them after release.
• Practical experience with information extraction from unstructured data, including entity extraction, relation extraction, entity resolution, or entity linking.
• Experience designing and building knowledge graphs, including ontology and graph schema design, and working with graph databases such as Neo4j. Experience with GraphRAG is also relevant.
• Good understanding of traditional NLP approaches, transformer architectures, and the application of language models to information extraction tasks.
• Experience with deep learning frameworks such as PyTorch.
• Experience evaluating ML/NLP models and measuring their performance.
• Upper-intermediate (B2) English or higher.
   

Nice to Have

• Hands-on experience with fine-tuning and/or self-hosted deployment of open models, including approaches such as LoRA/PEFT and SFT, model serving with vLLM or similar tools, and inference optimisation techniques such as quantisation.
• Experience with multimodal models, computer vision, or geospatial data, including satellite imagery and remote sensing.
• Background in threat intelligence, OSINT, geospatial intelligence, or defence.
   

We Offer

• Opportunity to contribute to a mission-driven product used by governments, international organisations, enterprises and NGOs to tackle global security challenges.
• Real ownership in shaping our knowledge graph direction, and the freedom to drive experiments and bring your ideas to production.
• Remote-first: work from Ukraine or anywhere in Europe.
• Unlimited paid time off, plus company-wide holidays.
• Software and AI tools you need for your work are covered.
• Annual budget for conferences, courses and professional development.
   

Hiring Process

1. Recruiter interview
2. ML interview
3. Engineering interview
4. Final interview with leadership
5. Reference check and offer

We are seeking a skilled ML/AI Engineer to join our team and deliver cutting-edge ML/AI models in the ASR domain and legal insights more broadly. The core of this role is building, deploying, and serving ML models in production. 

A key part of this role is speech engineering — prior ASR/speech experience is not a must, but a willingness to learn and grow into this domain is essential. Experience with LLM-based solutions and agentic flows is an advantage, not a requirement. 

What you’ll do: 

• Build, deploy, and serve ML models in production — the core of the role — optimizing inference performance, latency, and efficient GPU utilization. 
• Support and extend our speech solutions, including 3rd-party ASR integrations and self-hosted ML models. 
• Evaluate and optimize key ASR/ML metrics such as WER, latency, F1 score, EER, and DER. 
• Secondary: Integrate LLMs and agentic flows into production solutions where they add value, including fine-tuning existing models. 

What you’ll bring: 

Core (required): 

• Solid background in machine/deep learning, with 4+ years of experience. 
• Strong Python skills and experience working in Linux environments. 
• Familiarity with deep learning libraries (e.g., PyTorch, TensorFlow) and training workflows. 
• Experience with MLOps pipelines and serving/deploying models in production. 
• Experience optimizing models for inference, including GPU acceleration. 
• Experience with Docker, gRPC, and serverless / micro-services architectures on cloud infrastructure (AWS/GCP/Azure). 
• Experience with real-time / streaming systems and low-latency processing (e.g. streaming pipelines, live sessions). 

Nice to have (secondary / optional): 

• Experience building and productizing agentic flows and AI-driven solutions (1+ year). 
• Familiarity with LLM / agent orchestration frameworks such as CrewAI, AWS Bedrock, Temporal, AgentCore, or LiteLLM. 
• Prior ASR / speech experience — not required; willingness to learn this domain is what matters most. 

ZentixSoft is looking for a Senior Platform / Cloud / SRE Engineer! 🚀

Format: Full-Time Outstaffing, long-term engagement (7+ months).

Start Date: December 1, 2026 / January 1, 2027.

Location: Remote (Nearshore options included).
 

🧩 Responsibilities:

• AI Platform & AWS Infrastructure: Design, deploy, and evolve scalable AWS-based cloud platform solutions providing highly available infrastructure for dev teams.
• Infrastructure as Code: Build, automate, and maintain cloud environments using Terraform.
• Kubernetes Operations: Administer, optimize, and operate enterprise-grade Kubernetes clusters at scale.
• DevOps & Developer Enablement: Develop and optimize CI/CD pipelines and implement GitHub Enterprise as the core development platform.
• Observability & Security: Build monitoring, logging, and tracing solutions (Grafana, Prometheus), define operational standards, and ensure cloud security compliance.
• Reliability & Incident Management: Troubleshoot performance bottlenecks, automate operational tasks, and maintain high availability and stability across environments.
   

🎓 Our Perfect Match (Requirements):

• Hands-on Experience: Several years of proven experience as a Platform Engineer, Cloud Engineer, or SRE in large-scale or enterprise environments.
• AWS & Infrastructure as Code: Deep, hands-on AWS expertise alongside extensive Terraform automation experience.
• Kubernetes at Scale: Multi-year experience operating Kubernetes clusters supporting high application density and complex operational requirements.
• Tooling & Platform Stack: Direct experience with GitHub Enterprise, CI/CD processes, and modern observability stacks (Grafana, Prometheus, etc.).
• Mindset & Independence: Strong hands-on mentality, proven ability to independently design and implement technical concepts, and a focus on operational automation.
   

➕ Nice to Have:

• Experience in Energy, Trading, or Financial Services sectors.
• Background in Developer Enablement, Platform Engineering, and Cloud Security/Compliance.
• Exposure to multi-cloud or hybrid-cloud setups.

Description

We are looking for an AI CRM & Retention Automation Lead to own the design, build, and scaling of a production-level AI-driven CRM system for player retention.

The role sits in the Revenue department and reports directly to the CRO.

This is not a classic CRM or campaign execution position. You will define the architecture, connect data, models, and tools into a working system, and move the CRM team from manual campaign building to AI-supervised personalization.

What you will do in the first 3–6 months

• Month 1: Audit current CRM setup, Customer.io usage, data flows, segmentation, churn models, and integrations. Deliver a target architecture.
• Month 2–3: Launch an MVP flow: Player Data → Churn prediction → AI analysis → Offer recommendation → Customer.io campaign → Human approval.
• Month 3–4: Automate segmentation, timing, offer selection, campaign creation, and basic analytics.
• Month 4–6: Put an AI optimization loop into production (Campaign → Results → Analysis → Learning → New recommendation) and prepare the foundation for VIP/PAM AI.

Main outcome of the role
Not the number of campaigns sent. The KPI is how much of the CRM process we can automate while increasing the effectiveness of personalization. The CRM Manager should shift from building campaigns manually to acting as an AI CRM Supervisor who reviews recommendations, approves campaigns, and owns GEO results.

Requirements

• Proven experience building or owning production automation systems that connect data, models, and marketing tools (not only campaign execution).
• Hands-on work with at least one major CRM/marketing automation platform (Customer.io strongly preferred; Optimove, Braze, or Iterable are relevant).
• Practical experience with customer data platforms, data warehouses (BigQuery or Snowflake), and orchestration tools (dbt, Airflow, n8n, Make, or similar).
• Ability to design and implement AI-driven flows: churn/LTV/next-best-action models, recommendation logic, LangChain/LangGraph or direct LLM APIs (Claude, OpenAI).
• Strong systems thinking: you can describe architecture, data flow, agents, integrations, approval layer, and analytics loop, and then build it.
• iGaming, fintech, e-commerce, subscription, or marketplace background with high-volume customer data is a plus.
• Senior / Lead level. You will own the direction: architecture, roadmap, implementation, integrations, AI agents, automation, analytics, documentation, and scaling.

What does not fit

• Only creating campaigns in Customer.io or similar tools.
• Only writing prompts or using ChatGPT without system integration.
• Pure dashboard analysis / BI without building automation.
• Pure Python development without CRM and marketing automation context.
• Waiting for a ready technical specification instead of proposing the system design.

Technical assignment during the process

Candidates will be asked to design an AI-driven CRM system for 1M players with an existing churn model and Customer.io: daily player analysis, reactivation targeting, best offer and timing selection, campaign creation, human approval, and a feedback loop. We evaluate architecture, data flow, agents, APIs, decision logic, monitoring, and scalability.

Location: Remote. You must overlap at least 4 hours a day with EU working hours. Our core team is in Spain and Portugal.

Reports to: the operating co-founder (CEO), working daily with the other co-founders on M&A and the platform.

About GetDeal

GetDeal sells companies (sell-side M&A) and raises capital for startups. We run a live deal platform and active client mandates. The company is AI-native: a small founding team works with a fleet of AI agents that run from one shared operating system. The agents prepare daily priorities and reports, track client commitments and deal pipelines, and run research and outreach. People set direction, make decisions and are accountable for the result.

Why this role exists

Each client mandate, fundraising campaign and internal initiative is a project with a scope, deadlines, commitments to counterparties, a budget and several people and agents doing the work. Right now the founders hold these projects together themselves. We need one person who runs them as projects: who owns what, by when, at what cost, what is at risk. That person tells us early when something is slipping.

What you'll own

- Run every workstream as a project: scope, plan, owners, milestones, budget, risks, definition of done. Keep a status that anyone can read in a minute.

- Manage people. Assign work to founders, contractors and outside partners (lawyers, designers, freelancers), follow up and unblock, and hold the deadline.

- Own the budget lines you run: tools, contractors, campaigns. Plan them, track actuals, and flag variance before it turns into a problem.

- Track client delivery. Contract milestones and commitments to sell-side and fundraising clients are met, and nothing is promised without an owner.

- Own the operating rhythm. Run daily priorities and the weekly review, and turn every internal call into tracked tasks the same day.

- Direct the AI agents. Give them clear briefs with acceptance criteria, review what they produce, and decide what is good enough to reach a client. You are the one who checks.

- When something keeps repeating, turn it into a documented process the next person or agent can run.

What you bring

- 3+ years in project, delivery or operations management where the work ran as projects. You can walk us through specific projects: the scope, the team, the timeline, the budget, and what actually happened.

- You have managed people: a team, contractors or cross-functional stakeholders, with personal accountability for their deadlines and quality.

- You have owned a budget: planned it, tracked actuals, explained the variance.

- Project thinking by default. Given any goal, you break it into scope, milestones, owners, risks and a definition of done, even when nobody asked for a plan.

- Daily hands-on work with AI, beyond chat. You have delegated real work to AI agents or automations (for example Claude Code, Cursor, ChatGPT or Claude with tools, n8n, Make, Zapier). You can show one workflow you built and explain how you checked its output.

- Fluent written and spoken English for work with international clients and partners.

Nice to have

- M&A, investment banking, venture or B2B SaaS.

- GitHub Issues, Linear, Jira or similar trackers; comfort with Markdown and basic scripting.

- PMP, PRINCE2 or Scrum certification, as a complement to real delivered projects.

- Russian, Ukrainian or Spanish.

How we work

- Transparency: status and data are kept simple to read and never too big to read.

- Honesty: we share bad news first, and fast.

- Trust, but verify: information is checked before it goes to a person or a client.

You will work directly with the founders across M&A, fundraising and the platform.

How to apply

Send your CV and a short note (300 words or fewer), or a 3–5 minute Loom, about one project you ran:

1. The goal, the team, the timeline and the budget.

2. What you personally did to keep it on track, including one thing that went wrong and how you handled it.

3. The result, and where AI tools or agents did part of the work.

Ascendix Technologies is an AI and Real Estate Technology partner headquartered in Dallas, Texas, with offices in Poland, Portugal, and Ukraine. We specialize in AI solutions, Salesforce, and custom software development, helping businesses streamline their operations through innovative technology. 

We're looking for an experienced QA Engineer to join our Product Department and take ownership of quality assurance for our Salesforce-related products, starting with the Ascendix AI Agent. 

In this role, you'll work with a small, collaborative team to ensure the reliability of both traditional software functionality and AI-driven features. You'll combine manual testing, test automation, and LLM evaluation techniques to validate AI-generated responses, identify potential issues, and continuously improve product quality. 

If you enjoy exploring AI technologies, thinking critically about complex scenarios, and taking initiative in shaping QA processes, we'd love to hear from you. 

What We're Looking For 

Requirements: 

• 5+ years of experience in Software Quality Assurance; 
• Hands-on experience testing AI-powered applications with non-deterministic outcomes, such as LLM-based products, AI agents, or chatbots; 
• Practical experience with LLM evaluation techniques, including test datasets, scoring rubrics, LLM-as-judge approaches, and regression tracking; 
• Experience in test automation and maintaining automated test suites; 
• Solid API testing skills using Postman or similar tools; 
• Strong analytical and critical thinking skills, with the ability to evaluate not only whether an AI-generated response is incorrect, but also why; 
• Ownership mindset, proactive approach to problem-solving, and willingness to improve QA processes; 
• Good communication and collaboration skills, with the ability to work effectively in a small, distributed team; 
• Upper-Intermediate English (B2+) or higher, both written and spoken. 

Nice to Have: 

• Experience with Playwright (TypeScript or JavaScript); 
• Salesforce testing experience, including Lightning, managed packages, and permission sets; 
• Familiarity with LLM evaluation tools such as Promptfoo, DeepEval, Ragas, or Langfuse; 
• Experience using AI-assisted development tools such as Claude Code, Cursor, or similar; 
• Basic prompt engineering skills; 
• Experience working with CRM systems or real estate data. 

What You'll Do:

• Take ownership of product quality across our Salesforce-related solutions, initially focusing on the Ascendix AI Agent; 
• Perform functional, regression, and exploratory testing of both deterministic and non-deterministic functionality; 
• Evaluate AI-generated responses for accuracy, hallucinations, and correct execution of actions; 
• Design, maintain, and improve LLM evaluation datasets, scoring criteria, and regression tests; 
• Develop and maintain automated tests using Playwright and modern AI-assisted tools; 
• Collaborate with developers and the Business Analyst in a spec-driven development process, reviewing specifications and defining clear acceptance criteria; 
• Establish and continuously improve QA processes, including maintaining AI agent skills, rules, and workflow documentation in Markdown files; 
• Investigate and reproduce issues reported by clients, providing clear and actionable bug reports; 
• Proactively identify quality risks and suggest improvements to product reliability and testing practices. 

Ascendix Offers You: 

Healthcare: 

• 20 paid days-off; 
• 5 paid sick days. 

Career and Professional Growth: 

• B2B and remote cooperation; 
• Career development and professional growth; 
• Technical performance reviews and 360 Evaluation; 
• Collaboration with a personal Direct Manager, Technical Leads, and mentors. 

Learning and Development: 

• Opportunity for external event compensation; 
• Internal knowledge-sharing opportunities. 

Corporate Spirit: 

• Online and offline events and team buildings; 
• Friendly and supportive atmosphere; 
• Open management. 

About the Role

At Benrey, content is a system to run, not text to write. We operate multi-domain, multilingual platforms across seven international markets and six languages. In our competitive verticals, manual writing and manual optimization cannot scale. If a task is repeatable, our goal is to automate it.

We are looking for an SEO Content Specialist (AI & Automation) to own this system end to end. You will decide what to build based on SERP evidence, define what "good" looks like across different languages, and run automated pipelines that deliver high-quality, factually accurate content at a sustainable unit cost. 

You don’t need a computer science degree for this role. We are looking for an SEO specialist with a sharp editorial eye and a builder’s mindset. You can immediately tell the difference between polished AI filler and truly authoritative, search-aligned copy and you can pinpoint exactly why a draft fails so the underlying system can be improved. At the same time, you love practical automation: using APIs, lightweight Python or JavaScript, and AI coding assistants to take repetitive work off the table.

What You’ll Do

• SERP & Demand Mapping at Scale: Turn large keyword datasets into structured content maps using SERP overlap clustering, search intent classification, and template mapping ensuring zero cannibalization between page types or markets.
• Evidence-Based Production Decisions: Study search results to identify what search engines actually reward (SERP features, structured tables, direct answers, AI Overviews). Prioritize production runs based on measurable commercial value and traffic potential, not arbitrary word-count quotas.
• Autonomous Multilingual Planning: Plan, cluster, and run content operations in languages you don’t personally speak. You’ll use SERP patterns, translation tools, and competitor structures to manage the workflows independently; native speakers step in for final review, but you drive the process.
• Running & Tuning Content Pipelines: Run multi-stage generation workflows (Writer  Grounding  Editor  Native Polish). You will ensure models pull from verified structured data rather than memory, keeping regulated facts (e.g., game rules, bonus terms, RTP figures) strictly accurate.
• Automated Quality Control: Build automated checks that catch formatting issues, hallucinations, and tone errors before a human ever looks at the draft. When a native proofreader catches an issue, you turn their feedback into a permanent prompt adjustment or validation rule.
• Building Micro-Tools & Scripts: Create small, durable scripts and workflows that remove manual work from everyday SEO tasks - whether that’s pulling SERP data, checking content gaps, generating briefs, or handling batch uploads.
• Cost & Model Optimization: Keep an eye on cost per page, latency, and API usage across batch runs. You’ll test models side-by-side to find the right balance between output quality and generation cost.
• Performance Feedback Loops: Track indexation rates, impressions, and ranking distributions per template and market to validate batches before scaling up generation.

What We Expect

• 3+ Years in SEO Content Strategy: You have planned and owned organic content performance for a site at scale, rather than just writing individual articles.
• Hands-On Automation Experience: You have built at least one functional SEO or content automation powered by APIs (OpenAI, Claude, Gemini, DataForSEO, Firecrawl, Search Console, WordPress REST, or similar). You can show us what it does, talk through what broke while building it, and explain its unit cost. Functional workflows built in Make or n8n count if you understand their limits.
• Pragmatic Scripting Skills (Python or JavaScript): You can read, adapt, and troubleshoot your own scripts. Using AI coding tools (Cursor, Claude Code, Copilot) is fully encouraged - you don’t need to write code from scratch from memory, but you must understand the logic and be able to debug it when an API breaks.
• Comfort with Languages You Don't Speak: You are comfortable doing keyword research, analyzing SERPs, and planning content for non-English markets using data and automated translation, relying on native reviewers only for the final linguistic pass.
• Large-Scale Keyword Research: Hands-on experience clustering thousands of queries and mapping them to distinct templates and user intents (using tools like DataForSEO, Ahrefs, SEMrush, or Search Console exports).

Nice to Have

• Experience in iGaming, sports betting, fintech, or another competitive, highly regulated niche.
• Hands-on programmatic SEO experience (generating and maintaining thousands of pages from structured databases).
• Language skills in Spanish, Russian, Estonian, Danish, or Portuguese.
• Experience comparing LLM outputs side-by-side or building automated test prompts to evaluate text quality.
• Working with batch APIs, embeddings, or vector databases to ground generation on reference data.

What We Offer

• Live Infrastructure from Day One: You step into established, functioning pipelines and APIs. You will iterate on and scale real systems, not start from scratch.
• Full Data & Tooling Access: Direct access to paid enterprise APIs: LLM providers, DataForSEO, Ahrefs, Firecrawl, and Google Search Console.
• No Bureaucracy: Work directly with senior technical SEOs and software developers. No layers of non-technical management between you and deployment.
• Stack Ownership: Freedom to choose the scripts, frameworks, models, and tools that solve the problem best.
• Production Scale: Your scripts and pipeline optimizations directly impact tens of thousands of live URLs across seven active international markets.

We are looking for a strategic, hands-on, and data-driven TA Operations & Automatization Lead to design, build, and scale an enterprise-grade recruitment technology ecosystem. In this role, you will transform our Talent Acquisition function into a high-velocity, precision-focused engine by streamlining workflows, driving AI and low-code automations, ensuring strict regulatory compliance, and delivering actionable analytics to key business stakeholders.

Responsibilities

• Direct, lead, and oversee the TA Ops team (ATS Admin, Automation & AI Specialist, Operations Specialist, Talent Analytics Specialist), setting clear performance standards, KPIs, and daily execution priorities.
• Define the long-term architecture and 12-month tech stack roadmap, prioritizing technical initiatives for ATS optimization, API integrations, and low-code/no-code automated workflows.
• Lead the development of end-to-end recruitment analytics, guiding the team to build C-level dashboards (Tableau/Power BI/Looker) and converting data into strategic business insights.
• Ensure maximum data integrity (99%) across all talent systems and verify that automation projects deliver measurable time savings (FTE-hours saved).
• Establish and control compliance governance across international hiring hubs (FCA, CySEC, ASIC), taking full ownership of regulatory risk escalation, process auditing, and audit readiness.
• Streamline recruiter onboarding and standard operating procedures (SOPs), auditing process adoption to maintain a high compliance rate (95%).
• Serve as the primary liaison representing TA Operations across cross-functional partnerships with the Head of Global TA, Head of People Data & Transformation, Legal, Compliance, and IT.

• Drive continuous team development, mentorship, and growth through regular 1-on-1s, performance evaluations, and structured learning plans.

   

Requirements

• At least 3–5 years of experience in TA Operations, HR Tech, or Recruitment Analytics within an international environment, including 2+ years in a leadership role (Lead or Manager).
• Proven track record of directly managing multi-disciplinary teams across analytics, system administration, and automation.
• Deep expertise in Enterprise ATS/CRM architecture (Greenhouse, Workday, SmartRecruiters) and experience setting up API, webhook, and system integrations.
• Practical experience in selecting, piloting, and implementing AI recruitment technologies (e.g., AI screening, automated sourcing, predictive analytics).
• Strong background in recruitment analytics, funnel metrics, and data visualization tools (Tableau, Power BI, Looker).
• Upper-Intermediate (or higher) level of English for effective cross-functional and global stakeholder management.
• Strong leadership skills with proficiency in Agile/Kanban methodologies and resource allocation.

• Experience with process engineering frameworks (BPMN, Value Stream Mapping) is a strong plus.

   

We offer

• Compensation for tax expenses of private entrepreneurs in Ukraine;
• Qualified assistance and support for Ukrainian private entrepreneurs;
• 10 paid sick leave days per year;
• 20 paid vacation days per year;
• Public holidays according to current Ukrainian legislation;
• Medical insurance for employees;
• Compensation for professional education and learning English;
• Compensation for a sports subscription or sports equipment.

Full-time
Salary: $1000—$1,500/month, reviewed after 3 months based on delivery

Position is for recent university graduates majored in Machine Learning, Mathematics or related field.

Prior work experience is not required, but deep understanding of machine learning and mathematics under the bonnet is.
 

About CubicMind AI
CubicMind AI Ltd is a UK deep tech startup building a small plug-in device that operates any computer like a person: it reads the screen, listens to the user, and clicks and types to complete tasks. Everything runs on the device itself, with no cloud.

cubicmind-ai.com

We design our own models rather than wrapping someone else’s. That includes transformer and non-transformer architectures, built around what runs fast on edge hardware, and sometimes trained from scratch.

About the role
You will work on designing, training and optimising the models that power the device: screen understanding, action prediction and efficient on-chip inference.

This is research-heavy engineering. You will work on model architecture, training runs, attention and memory bottlenecks, low-bit compression, and getting models to run correctly on real hardware.
 

What you will do
— Design and implement new model architectures in PyTorch, both transformer-based and beyond
— Train models, sometimes from scratch, and run experiments to compare architectures
— Build training and evaluation pipelines on screen-understanding and computer-control data
— Profile latency, memory use and KV-cache behaviour on long, high-resolution screen inputs
— Compress models for edge chips using quantisation (INT8/INT4), pruning and distillation
— Export models to low-level runtimes and fix unsupported operators
— Work with our C++ team to get models running efficiently on the device

 

Requirements

— Architectural understanding of Transformers and Attention: for example you understand the mathematical and operational differences between MHA, MQA, GQA, FlashAttention, and linear attention variants; 

— Low-level PyTorch fluency: writing custom PyTorch modules, vectorised tensor operations, e.g. knowing how to do ML

— Experience with model training & convergence: stability tricks, learning rate schedules, gradient clipping, mixed-precision training (BF16/FP16), and diagnosing loss spikes or exploding/vanishing gradients.

— Mathematical foundation: comfortable with high-dimensional linear algebra, matrix calculus, multivariable optimization, and probability theory.

— Understanding what model compression is: Post-Training Quantization  vs Quantization-Aware Training, outlier activations, etc

— Сommit full-time

 

Nice to have
— Experience with vision transformers or vision-language models
— Interest in non-transformer architectures (state-space models, linear attention, recurrent designs)
— Experience exporting to ONNX, TensorRT, OpenVINO or NPU toolchains
— Basic C++, enough to read inference code

 

What we offer
— Real ownership of the core models in a hardware product built from the ground up
— Work directly with the founder, with no bureaucracy
— $1000—$1,500/month depending on experience, reviewed after 3 months based on results
— Fully remote, judged on results, not hours logged. Flexible schedule

About the Company
Nexpanse is a US company (Delaware) and an AI-native, remote-first international team. We build B2C subscription products for the US and EU markets — our own products, from idea to profit, not outsourced development. AI is built into every process, which lets a small team move faster than many larger ones.

Our products:
- HaleChapter (https://halechapter.com/) — US telehealth platform: GLP-1 weight loss and men's health. Medical intake, licensed doctors, partner pharmacy, home delivery.
- PersProtect (https://persprotect.com/) — personal data removal and privacy: finds a person on hundreds of data broker sites, removes the data and keeps monitoring.

Both are live, web-to-web subscriptions with payment on the web.

Key Responsibilities
- Launch and scale campaigns in Meta and Google for web-to-web funnels across both products.
- Own your budgets and their profitability: ROAS, CPA, payback, LTV by cohort.
- Test and scale "creative + funnel" combinations together with the creative team: hypotheses, tests, feedback.
- Set up tracking and reconcile ad platform data with payment data.
- Build your own automations and AI tools: scaling rules, scripts, dashboards, agents.

Requirements
- 3+ years in paid UA, with at least 1 year of personal accountability for profitability (ROAS, payback) — not just spend.
- Personal monthly budget of $20K+ (ideally $50K+).
- Web-to-web funnels: payment and product on the web (quiz → paywall → subscription). Web2app experience is also considered.
- Hands-on Meta Ads in the last 3–6 months: structure, algorithm, optimization.
- LTV, cohorts and payback drive your decisions.
- Your own AI tools or automations — not just ChatGPT for copy.
- B2C subscriptions (health, utilities or adjacent) within the last 2 years.

Nice to Have
- Hands-on Google Ads.
- Your own testing system: budgets, kill rules, scaling.
- Web tracking: CAPI, server-side, reconciliation with payment data.
- TikTok, Snap or Pinterest.
- Experience in both health and utilities.
- You've led media buyers and stayed hands-on.

What We Offer
- Real products in the US market and serious traffic budgets.
- Ownership: you decide when to scale or stop, and build your area from scratch.
- Small international team, fast decisions, direct contact with the founder.
- Remote, full-time. Compensation is discussed individually.