Jobs AI

Job Summary

We are seeking a highly organized and detail-oriented professional to support project planning, execution, and control. This role combines the functions of a coordinator and junior project manager and requires strong communication skills, multitasking, and a proactive approach to problem solving.
The primary objective of this position is to ensure the smooth running of projects by coordinating teams, monitoring deadlines, maintaining documentation, and supporting communication with clients and stakeholders.

Key Responsibilities:
- Assist in planning and tracking project progress to ensure adherence to deadlines and key milestones.

- Communicating complex information in a clear and understandable manner.

- Communicating and collaborating with internal and external teams to ensure completion of tasks and alignment with project objectives.

- Monitoring data quality and promptly escalating risks or issues that may impact scope, timelines, or quality.

- Providing regular project updates to clients and stakeholders, aligning expectations, and ensuring transparency.

- Maintaining and updating key project documentation: budget reports, trackers, meeting minutes, delivery schedules.

- Monitoring production KPIs (speed, quality), conducting random quality checks to maintain consistent results.

- Identifying and escalating scope changes at client request to the appropriate internal teams.

- Organizing and conducting meetings with the team/clients to agree on goals, discuss issues, and discuss project status.

- Assisting in resolving project issues and optimizing work processes to improve efficiency.

Requirements:

- Higher education in business, IT, or a related field (preferred)
- Experience in project coordination, operations, or support
- Understanding of the project lifecycle and basic Project Management principles
- Excellent planning, organization, and multitasking skills
- Strong communication skills, ability to clearly communicate information
- Ability to handle risks and problems, results-oriented
- Experience with project management tools (JIRA, Trello, Asana)
- Skills in working with spreadsheets, reports, and calculations
- Mandatory language requirements

Fluency in English and Russian/Ukrainian (oral and written)
will be an advantage

• Experience in data annotation or markup;
• Understanding of Agile/Scrum, Kanban;
• Experience working with cross-functional teams;
• Basic knowledge of IT processes and software development.
   

Description

Step into a mission-critical role at the intersection of Generative AI and life-saving technology. We are partnering with a titan of Japanese industry to revolutionise how medical and industrial equipment is managed in hospitals and facilities worldwide. You will be a founding member of a team building a sophisticated GenAI platform designed to provide instant, intelligent access to complex product knowledge—from assembly and configuration to intricate repair procedures. This project is in its infancy, offering you the unique “greenfield” opportunity to act as a primary architect, defining the tech stack and software patterns that will power the next generation of industrial intelligence.

Requirements

Requirements:

Extensive experience in Data Science and Machine Learning with a strong focus on Natural Language Processing (NLP) and Data Engineering.
Proven track record of designing and implementing complex data models for large-scale information retrieval systems.
Expertise in cleaning and structuring highly unstructured data (e.g., audio transcripts, PDFs, manual reports, and sensor data).
Good experience with the Azure cloud ecosystem and its data services.
Hands-on experience implementing Large Language Models (LLMs) and OpenAI capabilities within production environments.
Strong communication skills to work with cross-functional teams and understand the nuances of highly technical documentation.
Nice to Have:

Ability to define and implement software architecture from scratch for ML-driven platforms.
Experience in knowledge graph construction or advanced data linking techniques is preferred.
A background in regulated industries (Healthcare or Industrial) is an advantage.

Job responsibilities

As a Senior ML Data Scientist, your primary focus will be the transformation of vast, unstructured “tribal knowledge” into a high-fidelity digital brain. You will orchestrate the entire data lifecycle, from the initial ingestion of diverse sources—such as captured expert interviews, technical service manuals, and real-time IoT streams—to the final deployment of GenAI agents. Your work involves designing complex data models that can represent intricate relationships between technical components, cleaning and structuring noisy data, and building the pipelines that link these insights together for OpenAI-driven consumption. You will be responsible for defining the architecture of the end solution on Azure, ensuring that the resulting GenAI agents provide accurate, quick, and context-aware responses to technicians and medical professionals on the front lines.

About the Company  

Sales'Up is a leading Creatio implementation partner, helping enterprise clients across FMCG, Agro, Finance and Pharma transform their business processes. Over 8+ years, we've delivered 100+ successful CRM projects and built our own industry-specific products: Data Management, FMCG Management, and Agro Management — used by market leaders. Join us to grow together! 

Role  

We're looking for Content Manager who can quickly and skillfully create marketing content about our SaaS products (including with the help of AI tools), publish it across different channels, and help the sales team communicate product value to clients with strong arguments. Sales'Up builds its own products and add-ons on the Creatio platform — our portfolio includes 30+ solutions that help companies automate sales, marketing, and service. 

What You'll Do 

• Create and publish content: website posts, announcements, updates 
• Manage marketing communications with the client base: newsletters, updates, best practices 
• Prepare content and materials for workshops and product events 
• Support outreach across channels (Telegram, website) as part of the sales funnel 
• Track engagement (reach, open rate, click rate) and adjust content based on what performs 

What We're Looking For 

• Understanding of what a SaaS product is and how it's marketed in B2B 
• Confident use of AI tools for content generation (text, visuals, presentations) 
• Strong copywriting skills and a good eye for visual presentation 
• Comfortable managing multiple content formats and channels independently 
• Ability to read basic engagement metrics and draw conclusions from them 
• A plus: familiarity with the Creatio ecosystem (partners, Marketplace) 

We Offer 

• Competitive salary 
• Professional development through internal and external training programs 
• Transparent model of professional and career growth 
• Option to work in the office or remotely 
• English language courses 

About Us
We are a fast-growing and leading company in the AI Voice space for the iGaming industry. We replace inefficient manual processes with scalable, reliable, and high-performance AI technology. Our solutions are already used by 20+ brands across 8+ geographies. We are well-funded, ambitious, and building a team of top professionals.

We’re looking for a Backend Developer to build and maintain reliable backend services and integrations. You’ll work with TypeScript services, REST APIs, and cloud infrastructure, and help us deliver features through clean architecture, automated tests, and robust CI/CD pipelines.

Responsibilities

• Design, build, and maintain backend services using TypeScript
• Develop and document REST APIs and handle API integrations with external systems
• Work with MongoDB: data modeling, performance optimization, and query tuning
• Containerize and run services using Docker
• Improve reliability and delivery speed via CI/CD, version control best practices, and code reviews
• Apply OOP principles and maintain clean, scalable architecture
• Write and maintain automated tests (unit/integration) and ensure quality gates
• Deploy and operate services on AWS (e.g., EC2, S3, Lambda) and monitor production stability
• Implement and support workflow orchestration using Temporal or a similar workflow engine

Requirements (Must-have) 

• Strong experience with TypeScript
• Experience with Node.js
• Hands-on experience with MongoDB
• Confident with Docker
• Good knowledge of Git/GitHub and modern development workflows
• Experience with CI/CD pipelines
• Solid understanding of OOP and clean code practices
• Practical experience with automated testing
• Experience with REST APIs and third-party API integration
• Exposure to AWS services: EC2, S3, Lambda
• Experience with Temporal or a comparable workflow/orchestration engine
• Practical AI fluency: ability to use AI tools (e.g. Claude, Cursor, Copilot) as part of daily development workflow — for code generation, debugging, and documentation
• Experience collaborating in AI-augmented teams: comfortable working in environments where teammates actively use AI tools and share prompts, workflows, and outputs

What we offer 

• Fully remote work format and flexible working hours.
• Competitive salary pegged to USD.
• 24 days of paid vacation (sick leave, national, religious, and company holidays).
• A friendly communication culture and transparent processes.
• Dynamic work environment.
• Opportunities for professional development and career growth.
• No micromanagement — just trust, ownership, and freedom to experiment.

About the Role

We're working with a company building secure infrastructure for enterprise blockchain and cryptographic systems, including multi-party computation (MPC) technology. The team is expanding its frontend capabilities and is actively moving toward agentic and AI-assisted engineering workflows.

The right person will step into a lean, self-directed engineering group and take real ownership over how the frontend is built, structured, and maintained across several products. One of the current priorities is connecting the company's digital-asset platform with a US banking partner, which involves building tokenized-dollar features and weaving the product experience into the bank's existing systems.

What We're Looking For
 

Core Technical Background

• Solid, senior-to-expert-level commercial experience in frontend engineering.
• Deep expertise in TypeScript/JavaScript and React.
• Strong Next.js background and a real understanding of modern frontend architecture.
• Hands-on experience with agentic or AI-assisted development that goes beyond simple code generation or casual "vibe coding."
• Practical testing experience: Playwright for end-to-end, and Jest, Vitest, or similar for unit/component testing.
• Comfortable with GitHub, GitHub Actions, and modern CI/CD practices.

• A security-minded approach to engineering, especially for sensitive or regulated products.

   

Nice-to-Haves

• Familiarity with Web3/blockchain concepts and associated security considerations.
• Background in FinTech or financial services products.
• Experience deploying on Vercel.
• Some exposure to TanStack Start.
• Comfort with AWS and containerized, cloud-agnostic setups.

• Time spent in regulated environments or those aligned with SOC 2 standards.

   

Domain Exposure

• Web3/blockchain knowledge is a strong plus but not mandatory if you show genuine curiosity and can pick up the domain quickly.
• FinTech or financial-services experience works well as an alternative or complementary background.
• Comfortable working in small, fast-paced product teams where engineers have a lot of autonomy.
  
   

What You'll Do

Frontend Development

• Build senior-level features across the product lineup.
• Write maintainable, scalable interface code in TypeScript, React, and Next.js.
• Turn loosely defined or high-level requirements into working solutions without needing fully detailed tickets.
• Weigh in on architectural and technical design choices for the frontend.
   

AI-Assisted / Agentic Development

• Contribute to building out mature practices and guardrails around agentic and AI-assisted engineering.
• Apply AI tooling to speed up delivery while keeping code quality, maintainability, security, and test coverage intact.
• Help introduce sensible checks and balances as AI-assisted practices spread across both frontend and backend teams.
   

Quality, Testing, and Security

• Thoroughly test your own code, covering both unit/component and end-to-end scenarios.
• Partner closely with QA throughout releases and support strong engineering practices overall.
• Stay alert to Web3-specific and general application-security risks, particularly those relevant to digital-asset products.
   

Technical Mentorship and Product Thinking

• Offer technical guidance and mentoring to a Cayman-based frontend colleague, without formal management authority.
• Bring a product-oriented mindset and make sound delivery calls when requirements aren't fully fleshed out.
• Independently dig into unfamiliar product or Web3 topics and come back with workable solutions to ambiguous problems.

Account Manager for AI Calls Startup 19.08.26

About Us

We are a fast-growing and leading company in the AI Voice space for the iGaming industry. Our AI Voice & Messaging Player Activation Platform helps casino and betting operators turn registrations into deposits and reactivate inactive players — improving Reg→Dep conversion and player LTV at a scale human call centers can't match. Our product is already used by 20+ brands across 8+ geographies. We are funded and building a team of top-tier talent.

Who We're Looking For

We are looking for an Account Manager who will own client results after the sale. You take the client over at kickoff and become their main point of contact: you design campaigns from our funnel library, own the campaign spec, interpret results, present reports, and prepare data-based briefs for the next launches. You work in a trio: a Coordinator handles data collection, statuses, and ops routine; Sales closes commercial deals — you own decisions and results.

About You

You come from Retention / CRM in iGaming and understand how player campaigns actually work: bonus mechanics, segmentation, reactivation logic. You read campaign analytics and turn numbers into decisions and next steps. You build warm, trusted relationships with clients and can defend your recommendations in English.

What Awaits You

A high-intensity team where everyone is focused on results. No bureaucracy, no pointless rules, no slow teammates. Transparent motivation tied directly to the value you create: bonus per launched campaign plus a recurring bonus per active brand on subscription. Clear processes, playbooks, and a funnel library from day one — and real room to grow as the department scales.

Responsibilities

• Own the client relationship after kickoff: onboarding call, regular syncs, main point of contact.
• Qualify each project and select the funnel and segment logic from our funnel library.
• Fill in the campaigns: segments, agent & SMS scripts and parameters, volumes, dates, alerts, postbacks.
• Own launched campaigns by result: interpret metric deviations, decide on pauses and changes.
• Check in with clients after launch: conversions visible on their side, traffic quality.
• Interpret campaign analytics, build reports present to clients.
• Prepare plan scaling of clients, brands to new geos, segments, etc.
• Escalate complex cases and needs for new funnels or scripts to the Retention Manager, with campaign data.

Requirements

• 2+ years in Retention / CRM / Account Management in iGaming, Gambling, or Betting — Retention or CRM Manager is the ideal background
• Understanding of retention mechanics: bonuses, segmentation, reactivation, player lifecycle.
• Confident with metrics: Reg→Dep conversion, LTV, GGR/NGR — plus campaign funnel metrics (answer/reach rate, conversion to deposit).
• Experience with CRM / campaign tools (Smartico, Optimove, Customer.io, or similar).
• Ability to turn analytics into recommendations and defend them to a client.
• English — confident working level.

Nice to Have

• Experience in a performance call center or with voice/SMS channels.
• Experience working alongside sales on account growth.

What we offer

• Fully remote work format and flexible working hours.
• Competitive salary pegged to USD + performance bonuses.
• 24 days of paid vacation (sick leave, national, religious, and company holidays).
• A friendly communication culture and transparent processes.
• Dynamic work environment.
• Opportunities for professional development and career growth.
• No micromanagement — just trust, ownership, and freedom to experiment.

EverHelp is a team of professionals, that’s developing outsourcing support services for plenty of products all over the world at a dynamic tempo. The project launched in 2021, and last year we experienced a yearly growth rate of +82%. Since February 2022, we’ve managed to preserve all our workplaces and, most importantly, we continue to strengthen our team while maintaining an employee satisfaction rate of over 90%.

In 2026, EverHelp received 9 international workplace and employer awards. The company ranked #1 in the Top 30 Inspiring Workplaces in Europe, was named the #1 employer among European companies with 500–4,999 employees, and earned Best-in-Class recognition across 6 categories: Culture & Purpose, Leadership, Inclusion & Belonging, Wellbeing, Employee Voice, and Employee Experience. EverHelp was also named one of the 28 Best Places to Work by Business Intelligence Group — a global award recognizing companies with strong workplace cultures and outstanding employee experience.

Our statement:

• We’re against war and unjustified aggression,
• We evacuated all the teammates and their families from the frontline, helped them find a new place to live and provided financial support,
• We provided the team with charging stations,
• We continue to work together for the future of Ukraine.

EverHelp is building a product portfolio from scratch: Evly (AI customer service), analytics, a voice agent, and Zendesk Migration. We’re looking for a Full-stack Engineer (Agentic Systems) to own end-to-end product development — from the client-facing web layer to backend business logic, including agentic engineering, highload system design, and shipping AI features against real business and product requirements. This is an engineer who turns a product idea into a working, scalable feature by closing the whole stack independently, not just one layer of it.

Your future responsibilities include:

• End-to-end feature development: frontend, backend business logic, APIs, and integrations — owning the full stack independently
• System design for highload systems: scalability, queues, caching, and resilience under load
• Agentic engineering: AI agents, Copilot-style flows, and LLM orchestration (tool/function calling, prompt engineering, memory, fallback logic)
• RAG systems: embeddings, vector search, and building/optimizing retrieval pipelines
• Working with pre-deployed self-hosted models and integrating LLMs into the product
• AI security: data protection, prompt injection defense, access control, handling sensitive data
• LLM evaluation & optimization: quality metrics, observability (logging, tracing, latency/cost), and reducing costs without sacrificing quality
• Data work: database modeling, SQL and MongoDB (document/NoSQL structures), and preparing data for analytics and AI flows
• Independently deploying features on top of existing infrastructure (via pre-built Helm chart templates)
• Code review, test coverage, and maintaining the technical health of the codebase
• Maintaining up-to-date technical documentation: architecture, API contracts, AI flows

• Clarifying requirements, estimating and decomposing tasks, and raising technical risks early (in collaboration with design)
  
  Needed experience & skills:

  Frontend:

• React + Next.js, TypeScript/JavaScript, Vite, TailwindCSS — able to build client applications independently

• Understanding of UI state, API integration, and basic attention to UX and interface performance
   

  Backend:

• Node.js and Python — business logic, REST APIs, WebSockets, integrations
• Database design and hands-on work with PostgreSQL and MongoDB; confident SQL
• Queues and caching: RabbitMQ, Redis; object storage (S3)

• Containerization with Docker; deploying services via existing Helm chart templates
   

  AI / LLM Engineering:

• Agentic engineering: building AI agents with LangChain, LangGraph, AutoGen, CrewAI, or similar
• Tool/function calling, prompt engineering, memory and fallback logic
• RAG systems: embeddings & vector search; vector DBs such as Qdrant, pgvector, or Pinecone
• Experience working with pre-deployed self-hosted models
• LLM evaluation & optimization: quality, latency, and cost metrics; AI solution observability

• Understanding of AI security: prompt injection, handling sensitive data
   

  General:

• Systems design and understanding of highload architecture (scalability, resilience under load)
• Observability: instrumenting services with logs and metrics; familiarity with the Grafana/Loki/Prometheus stack
• Code under test: unit, integration, and load testing; code review discipline; clean, documented codebase
• English B2+ (technical documentation, external integrations, written communication)

• 2–3 years of experience as a Full-stack developer, plus at least 1 year in AI engineering
   

  Working with EverHelp is about:

• Opportunity to join the Ukrainian company and help the Ukrainian economy,
• 20+ vacation days and unlimited sick leaves, corporate doctor & psychologist,
• Medical insurance and +10 Healthcare leaves for mental & physical recovery,
• Systematic learning & development inside a team and on an individual level: compensation for professional webinars, courses, conferences, etc.,
• Ability to work from Lviv & Kyiv offices with free breakfasts and lunches, or fully remotely,
• Team of professionals ready for knowledge sharing, internal professional communities, team buildings,
• Corporate discounts for gym membership and other services like medical services, language schools, etc.

🔹 100% remote | 🌎 Global team | ⏳ Full-time

NineTwoThree AI Studio is a premier product design, engineering, and marketing firm specializing in custom AI, web, and mobile applications for established brands and funded startups. We are based in Massachusetts but with an American and European staff and a strong, collaborative remote culture.

We’re a team that loves doing good work with great people. Our relatively small size keeps us fast and nimble. The wealth of knowledge, experience and talent paired with proven recipes and best practices allows us to find opportunities to help new products succeed.

With a portfolio of over 150 launched products over 13 years, NineTwoThree has garnered recognition as a top AI agency in the U.S., earning accolades such as inclusion in the Inc. 5000 list for four consecutive years and being named among the top 50 AI firms alongside industry leaders like Microsoft, NVIDIA, and IBM. We’ve built AI and ML tech for big brands like Consumer Reports, FanDuel, and Nara, as well as startups in legal tech, logistics, education, and more. 

Role Overview

As a Senior ML Engineer at NineTwoThree AI Studio, you will sit at the intersection of production-grade software engineering, advanced natural language processing, and client delivery. We build custom, high-impact AI systems for brands and startups across diverse industries (such as healthcare, logistics, and fintech).

Instead of siloed academic research, this role demands a product-minded builder. You will design, optimize, and deploy robust LLM applications, custom predictive analytics, and agentic workflows directly into our clients' software ecosystems, taking absolute ownership of features from prototype to production.

Technology Stack

• Core Frameworks & Arch: Transformer models, modern LLM APIs (Anthropic Claude, OpenAI, AWS Bedrock, etc.), Open-Source LLMs.
• Orchestration & Agentic Design: Experience designing LLM workflows, agentic systems, or retrieval pipelines using frameworks such as Langchain, LangGraph, LlamaIndex, or equivalent approaches.
• Data & Search: Vector databases (Pinecone, pgvector, Milvus, Qdrant, etc.), SQL, and data engineering pipelines.
• Traditional ML: Supervised and Unsupervised learning (Classification, Regression, Anomaly Detection).
• Cloud & Infrastructure: AWS (Lambda, SageMaker, Bedrock, EC2) and modern DevOps/retraining pipelines.
• Languages: Production-grade Python.

Responsibilities

• Architect & Build AI Features: Design and implement robust classical ML and generative AI solutions, striking the right balance between autonomous agentic architectures and deterministic pipelines.
• Evaluate: Design and maintain evaluation frameworks to measure AI quality, reliability, safety, and business impact before and after deployment.
• Integrate & Deploy: Partner closely with full-stack developers and DevOps to seamlessly integrate AI capabilities into client web and mobile applications using serverless architecture (e.g., AWS Lambda) or API endpoints.
• Optimize for Production: Refine prompts, system instructions, and chunking strategies to balance accuracy, latency, token consumption, and data privacy.
• Traditional Predictive Analytics: Clean and process unstructured or historical client data to train/fine-tune custom algorithms for specific business problems (such as forecasting, classification, or anomaly detection).
• Collaborate & Communicate: Actively participate in client discovery sessions, translate ambiguous business requirements into viable technical scopes, and demo prototypes directly to stakeholder teams.
• Maintain Engineering Excellence: Engage in constructive code reviews, implement rigorous validation patterns to test AI outputs, and contribute templates or runbooks to our internal AI knowledge base.

Technical Experience

• Proven Track Record: 3+ years of experience engineering software with a strong focus on machine learning and natural language processing.
• LLM & Generative AI Mastery: In-depth understanding of modern LLM architectures, context window mechanics, semantic search techniques, and the limitations of generative systems. Ability to identify when a deterministic solution is preferable to an LLM or agent-based solution.
• Production experience: Experience building and operating production AI systems, including monitoring, evaluation, debugging, and iterative improvement.
• Evaluation experience: Understanding of evaluation methodologies for LLM-based systems, including retrieval quality, hallucination detection, and task-specific performance measurement. Ability to reason about tradeoffs between quality, latency, cost, reliability, and engineering complexity.
• Python & SQL Proficiency: Exceptional Python coding skills and the ability to query, clean, and structure data efficiently.
• Cloud Infrastructure: Hands-on experience deploying ML or API services within cloud ecosystems, preferably AWS.
• Ownership: Comfortable taking ownership of ambiguous problems from initial discovery through production deployment and ongoing support.

Product & Team Capabilities

• Ambiguity to Execution: Ability to drop into a completely new industry vertical, understand its data constraints, and spin up a working proof-of-concept within a few weeks.
• The "Product Engineer" Mindset: Passion for seeing things ship and understanding why something is being built from a business value standpoint, not just what is being built.
• Communication: Fluent written and spoken English. Comfortable interacting with client stakeholders and breaking down technical workflows into clear concepts.
• Adaptability: Eagerness to experiment with and evaluate fast-emerging AI development tools, models, and frameworks.
• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field (or equivalent practical experience).

What We Offer

• Annual paid vacation: 20 days off per year during the first 3 years, increasing to 25 days in later years
• Paid sick leave, 10 national holidays, and 2 company days off
• Well-being budget
• Global health coverage 
• Maternity/paternity leave
• Reimbursement of expenses for professional development courses and certifications (up to 100% in agreement with Manager)
• Strong positive engineering culture, a tightly-knit team of professionals with a good sense of humor

What's The Process

We value your time and ours and make the process fast and easy. Our interview process takes the following steps: a short interview with the HR, 2nd technical interview with ML Engineer and CTO (optional), 3rd live-coding interview, Offer.

At c3 we're building a spatial intelligence data layer. We're a startup based in the UK, and are building an engineering team to focus on research and development of our proprietary models. 

Ideally we are looking for someone with: 

Multi-session SLAM / map merging / long-term localization / 3D registration experience

Ideal past experience:

Autonomous-driving mapping, warehouse/robot localization, AR persistent maps, LiDAR map differencing, construction progress monitoring, digital twins, or long-term robotics localization.

Requirements

* Strong background in 3D computer vision and geometric perception: point clouds, meshes, depth maps, coordinate transforms, registration, visibility/occlusion reasoning, and spatial change detection.

* Hands-on experience with real RGB-D / LiDAR / depth-sensor data. You should have dealt with noisy depth, incomplete scans, moving objects, partial overlap, and sensor/calibration errors.

* Strong understanding of 3D registration, including ICP variants, robust/global registration, geometric descriptors, RANSAC/TEASER++-style approaches, and failure detection.

* Experience solving multi-session or temporal mapping problems: comparing the same physical environment captured at different times.

* Familiarity with SLAM / visual-inertial odometry. You should understand accumulated drift, scale error, loop closure, and how errors in scan generation propagate downstream.

* Strong Python and PyTorch skills, with experience building production-quality evaluation and inference pipelines.

* Experience with learned feature matching such as LightGlue, SuperGlue, LoFTR, or equivalent is useful, particularly for cross-scan registration.

* Experience with synthetic data generation / simulation for augmentation and controlled failure-case generation.

* Robotics, autonomous systems, mapping, AR/VR, drones, or defence perception experience is highly relevant.

* Fluent English.

* Kyiv-based preferred; hybrid or remote considered.

What you will do

* Build a robust scan0 -> scan1 registration pipeline that aligns mostly-static structure while remaining insensitive to moved furniture and other transient objects.

* Handle partial overlap, occlusion, missing observations, drift, and scale differences between scans.

* Build temporal change detection that distinguishes:

    * object removed / added,

    * object moved,

    * surface or condition changed,

    * area unchanged,

    * area not observable / insufficient evidence.

* Develop visibility and free-space reasoning so that “not seen” is not incorrectly classified as “gone.”

* Build multi-stage registration using geometric and learned features, followed by robust local refinement.

* Define confidence / failure detection for registration and comparison results rather than forcing a result from bad scans.

* Develop condition/defect classification and severity scoring once geometric correspondence is sufficiently reliable.

* Create synthetic perturbations and generated training/evaluation data covering known failure modes.

* Own evaluation against ground truth, including registration success rate, false positive/negative change detection, localization accuracy, and uncertainty calibration.

* Evaluate alternative scene representations, including 3D Gaussian Splatting, NeRFs, TSDFs, occupancy/SDF representations, where they materially improve temporal comparison.

AMZ Bees — a full-service Amazon account management agency helping private label brands scale sustainably since 2018. We handle everything from setup and SEO to advanced DSP, PPC, and market expansions. We don't just manage accounts — we become true Amazon partners to our clients.

📍 Remote | Full Time | Europe, UK, LatAm or Africa
🕓 5h overlap with GMT+2 required
 

Why Join AMZ Bees?

• Real Scale & Impact: One of our clients generated $1M in sales in a single day on one product, with a 40% margin. We manage brands generating $30M+ in annual revenue and have helped several clients reach #1 category positions across multiple markets.
• Strong Team Support: You will get support from our dedicated advertising and technical teams to help grow your brand and fix issues quickly.

• Continuous Growth: We offer a hub to upskill yourself, hone your craft, and access frequent training opportunities to keep your skills sharp and stay ahead of industry trends.

   

Key Responsibilities & Ownership

As a client-facing Account Executive, you will own a portfolio of Amazon brands end-to-end, acting as the main point of contact and strategic partner for your clients. You will work closely with dedicated PPC, Technical, SEO, and Design teams to drive profitable growth for your clients.

• Strategy & P&L: Craft comprehensive account strategies, manage growth plans and P&L, set revenue, profit, and TACoS targets, and build quarterly roadmaps and weekly priorities.
• Client Collaboration & Satisfaction: Gain a deep understanding of each client's business to turn requirements into actionable steps. Build trust, collaborate on revenue targets, lead weekly updates, monthly reports, and QBRs, and ensure churn stays low.
• Data & Marketplace Excellence: Analyze performance metrics and use Brand Analytics and Search Query Performance to guide listings, SEO, pricing, promos, inventory coordination, and catalog health.
• Advertising & Cross-Functional Oversight: Coordinate and align goals with the PPC team, approve budgets, targets, and launches, and drive timelines across technical teams and external agencies.

• Problem Solving & Improvement: Troubleshoot performance issues, manage risks (OOS, account health flags, policy requests), stay updated on Amazon trends, and train junior colleagues on best practices.

   

Requirements

• Experience: 3–5+ years in an Amazon agency as Account Executive, Account Manager, or Brand Manager. We'll also consider exceptional candidates with hands-on brand-side experience who have genuinely owned P&L and growth for a brand.
• Proven Track Record: Experience developing multiple successful brands to 7 figures under your personal management.
• Marketplace Experience: Solid experience with Amazon US and core European marketplaces (UK, DE, FR, IT, ES) is required.
• Strong Analytical Skills: Strong Google Sheets skills (pivots, lookups, clean reporting) to evaluate performance and build data-driven strategies.
• Mindset & Communication: Proactive and strategic, with a strong ownership mindset, reliable execution, a customer-centric approach, and fluent English (written and spoken) for clear client communication and meeting leadership.

• General Requirements: Higher education in a relevant field, trend awareness in e-commerce, adaptability to fast-paced environments, multitasking abilities, and effective teamwork.

   

Nice to Have:

• Vendor Central exposure
• Experience with Walmart
• Familiarity with AMC or DSP, Helium 10 (H10), DataDive, and similar tools

• Comfort with AI tools and integrating AI into daily workflows for efficiency

   

🎁 What We Offer

• A dynamic work environment with an energetic team. 
• A collaborative and inclusive atmosphere where your contributions are valued.
• Encouraging leadership that will help you grow and navigate challenges.
• Access to frequent training opportunities to keep your skills sharp and stay ahead of industry trends.

• Competitive paid time off, paid sick days, and local public holidays off.

   

🚀 Ready to Join?
If this role excites you, don't hesitate to apply and become part of our dynamic team.

About ChatRevenue.ai 

ChatRevenue.ai was founded by Ratmir Timashev (founder of Veeam) and Vlad Voskresensky (founder of Revenue Grid) to create the next generation of CRM systems.  

We’re building an AI-native CRM platform that completely redefines how sales automation works.  
By structuring data for intelligent automation, we enable agentic AI to design workflows, assist Sales Leaders and Reps in real time, and generate predictable sales funnels – all through a simple, chat-driven interface.  

Our mission: to build a CRM that works for User, not the other way around. 

About the role 

We are looking for a Principal Backend Engineer with strong Python experience and a proven track record of building and owning production backend systems. 

This is a hands-on engineering role focused on: 

• Python backend 
• FastAPI 
• Data-heavy systems 
• AI / LLM product features 
• System architecture and scalability 

We are looking for someone who can take ownership of a backend domain, make technical decisions, and build reliable systems from idea to production. 

What you will do 

• Design, build, deploy, and maintain core backend services using Python and FastAPI 
• Own backend architecture, data flows, and technical decisions in your domain 
  Build and scale data-intensive systems, integrations, and pipelines 
• Work on AI / LLM-driven product features together with the engineering team 
• Improve system performance, scalability, reliability, and observability 
• Contribute to engineering practices: testing, CI/CD, security, and code quality 
• Work closely with product and engineering to deliver high-impact features 

What we are looking for 

• 7+ years of hands-on backend development experience 
• Strong commercial experience with Python in production 
• Python should be your primary backend language 
• Strong experience with FastAPI, APIs, Docker, Git, and CI/CD 
• Experience owning backend systems end-to-end: architecture, performance, data, reliability 
• Strong knowledge of PostgreSQL and data-heavy systems  
• Experience building distributed, scalable, or high-load systems 
• Good understanding of system design and performance optimization 
• Ability to work with ambiguity and take ownership without micromanagement 
• High ownership, independence, and product mindset 

Nice to have 

• Experience integrating LLMs / AI into backend systems 
• Experience with RAG, embeddings, vector databases, or AI assistants 
• Experience with Kafka, Azure Event Hub, or other event-driven systems 
• Experience with Kubernetes and cloud infrastructure, especially Azure 
• Experience building ETL / ELT pipelines 
• Experience working with structured and unstructured data 
• Production observability, tracing, monitoring, and optimization experience 

This role is likely a strong match for people who 

• Enjoy owning backend systems end-to-end, not just implementing isolated tasks 
• Feel strongest in Python as their main backend language 
• Have worked on production systems where reliability, performance, and scale matter 
• Want to have direct influence on technical decisions and architecture 
• Are comfortable working in an early-stage, high-ownership environment 

What we offer 

• Remote-first setup 
• Flexible schedule aligned with European time zones 
• A core engineering role in an AI-native product 
• Direct influence on technical decisions and architecture 
• Real ownership and visible product impact 
• Opportunity to grow into technical leadership / domain ownership 

If you have strong Python backend fundamentals, experience owning production systems, and interest in AI-native products, we’d love to talk. 

About the project
We’re working with a US-based (New York) proptech/govtech startup building the system of record for NYC affordable-housing compliance — a platform that takes a housing project from approval, through the lottery, to staying compliant year after year. Their AI review pipeline is already in production, processing real applications for real buildings. Lots of messy real-world documents, deterministic regulatory logic, and an AI layer that does the volume while experts handle exceptions.

It’s a long-term, stable cooperation with a small, high-ownership, high-collaboration team.

Cooperation

• GIG or B2B contract
• Full-time, long-term

• Remote, US-market focus

   

What you’ll do

• Own features end-to-end: spec, data model, migrations, backend services, pipelines, and UI
• Build LLM-powered document intelligence (extraction, classification, gap detection) over messy real documents — scans, spreadsheets, handwriting
• Design and run eval loops that make AI shippable: golden datasets from expert feedback, regression guards in CI
• Draw the line between AI and deterministic code — LLMs classify/extract/suggest; anything filed with a regulator runs through pure, unit-tested policy logic

• Ship Python services (FastAPI, Postgres, event-driven) and React/TypeScript frontends

   

Requirements

• 5+ years building and operating production software (senior product engineer)
• Strong Python (FastAPI, Pydantic, SQLAlchemy, Postgres)
• Real, hands-on LLM/GenAI experience: prompt pipelines with structured outputs, evals, OCR/document processing, agents — features that survived real users
• Frontend with React + TypeScript
• AI-native workflow: you use AI/coding agents to write most of your code and know how to verify their output
• Comfortable with ambiguity and defining fuzzy problems yourself
• Rigorous engineering: TDD, audit trails, verification

• English B2+ (comfortable communicating with the team)

   

Nice to have

• Proptech, fintech, govtech, or legaltech (regulated, document-heavy domains)
• Event-driven architecture (outbox pattern, streams, idempotent consumers)
• Experience migrating a business off a legacy system while it stayed live (e.g. Salesforce)

• Built eval infrastructure or human-in-the-loop review systems

   

Interview process

1. Hiring manager screen (background, ownership, how you work with AI)
2. Coding screen — a realistic task from the domain (bring your AI tools)
3. AI system design — a loosely defined real problem
4. CEO conversation

We are looking for an AI Product Engineer who can turn business problems into working digital solutions using modern AI tools, LLMs, automation platforms, and AI-assisted development workflows.

This is not a traditional Backend, Frontend, or Machine Learning Engineer position.

The role is designed for a technical AI generalist who can quickly understand a business need, validate an idea, build a functional prototype or MVP, and collaborate with specialized engineers and designers to bring the solution to production quality.

What you will do

• Analyze business processes and identify opportunities for AI automation and optimization.
• Turn business requirements into functional prototypes, MVPs, and internal tools.
• Build AI-powered web applications, dashboards, workflows, integrations, and product features.
• Use AI-assisted development tools such as Claude Code, Cursor, Codex, OpenAI, Anthropic, and similar platforms.
• Design and implement solutions using LLM APIs, AI agents, automation tools, and third-party services.
• Build end-to-end proof-of-concept solutions across different technologies when needed.
• Evaluate whether a task should be solved with custom development, AI agents, automation platforms, or a combination of approaches.
• Optimize prompts, context usage, token consumption, model selection, and AI-related costs.
• Test hypotheses quickly and validate whether a solution creates real business value.
• Prepare prototypes for further review and refinement by specialized developers, designers, or other domain experts.
• Document solution logic, limitations, risks, and recommendations for further development.

• Collaborate closely with product managers, engineers, designers, and company leadership.

   

What this role is about

The main goal of this position is not to develop one narrow technical area in depth.

The goal is to use AI as a force multiplier to:

• reduce development time;
• automate repetitive work;
• lower operational costs;
• validate product ideas faster;
• create tools that improve business performance;
• build functional solutions before involving a full specialized team.

You should be comfortable moving between different types of tasks and technologies. One project may involve an internal HR automation tool, another may be a sales workflow, an AI assistant, a web platform, or a mobile application prototype.

You are not expected to replace senior specialists in every area. You are expected to build a strong functional foundation that can later be reviewed, improved, and productionized by domain experts.

Requirements

• Strong technical foundation in software development, computer science, or a related field.
• Commercial software development experience with Python, JavaScript, TypeScript, or similar technologies.
• Practical experience building complete applications, prototypes, integrations, or automation solutions.
• Confident use of AI coding tools in real development workflows.
• Hands-on experience with OpenAI, Anthropic, Gemini, or other LLM APIs.
• Understanding of prompt engineering, context management, token usage, and model limitations.
• Experience designing AI agent or multi-step automation workflows.
• Ability to translate an unclear business problem into a structured technical solution.
• Ability to work across unfamiliar technologies and quickly learn new tools.
• Understanding of APIs, databases, authentication, integrations, and basic system architecture.
• Strong problem-solving skills and a product-oriented mindset.
• Ability to balance development speed with code quality, security, and maintainability.

• English level sufficient for working with technical documentation and participating in project communication.

   

Nice to have

• Experience with RAG systems, embeddings, vector databases, and document processing.
• Experience building AI agents and multi-agent systems.
• Experience with n8n, Make, Zapier, or other workflow automation tools.
• Startup, product discovery, hackathon, or MVP development experience.
• Experience working directly with business stakeholders or clients.
• Understanding of AI solution economics, including token costs, infrastructure costs, and expected business value.

The most important criterion is not the number of AI tools listed in your CV. We are looking for someone who can demonstrate how AI helped them deliver useful, functional solutions significantly faster and create measurable value for a business

We are building a revolutionary AI-based image and video processing platform and are looking for an Integrations Engineer to help expand our customer base through your technical expertise. We are open to candidates who can contribute significantly to developing our solutions and improving the customer experience.

​

Role Overview
​The responsibilities of a Solutions Engineer include sharing expertise on the product and its integration—specifically focusing on front-end understanding and a strong overall grasp of web technologies. You will use your analytical and interpersonal skills to guide our clients and maximize the value they gain from using our technology.
 

​The ideal candidate should have excellent communication and interpersonal skills, as well as the ability to meet KPIs and deadlines, demonstrating strong analytical abilities.

​Key Responsibilities

• Be the Product Expert: Act as the product expert and trusted advisor that clients can turn to for guidance on maximizing value from our technology.
• Expand Technical Expertise: Gain experience in front-end and back-end development, web optimization, performance best practices, AI/ML, cloud computing, media compression, and CDN.
• Support & Troubleshoot: Support customers’ technical queries, solve integration issues, and demonstrate the possibilities of the technology.
• Onboard Customers: Manage the technical onboarding of new customers and translate their desired outcomes into an implementation plan that will provide value.
• Define Requirements: Define new technical requirements for integration and prioritize project timelines.
• Cross-functional Collaboration: Ensure all customer requests and issues are handled promptly, working in collaboration with relevant teams including Customer Success, R&D, Sales, and Marketing.
• Quality Assurance: Utilize QA practices to ensure high-quality integrations

Requirements

• Language Proficiency: Strictly C1-C2 English level required.

  Candidates at an Upper-Intermediate (B1-B2) level will not be considered. Exceptional written and verbal presentation skills are a must.

• Working Hours: High flexibility and ability to operate within the US time zone.
   

​Technical Skills:

• 5+ years of experience as a Solutions Engineer, Front-End professional, or in QA within a global, fast-paced environment.
• Experience with Full-Stack technologies (e.g.,Node.js, React, Angular) or QA skills (e.g., automated testing, performance testing).
• ​Hands-on experience with web and cloud technologies.
• Experience with basic debugging/QA tools (e.g., Chrome Dev Tools).
• Problem Solving: Ability to effectively assess and quickly resolve technical issues while working with both technical and non-technical teams. High-level technical, project, and problem-solving skills.

• Mindset: Strong critical thinking and analytical skills with an entrepreneurial, proactive, and result-oriented mindset. Highly motivated, a fast learner, and open-minded.

   

Nice to Have​

• BS, BA, BEng degree or equivalent in Computer Science or a related field.
• ​Experience with Full-Stack technologies (e.g., Node.js, React, Angular) or automated/performance QA testing skills.
• ​Relevant certifications, courses, or experience in adjacent technologies.

We OFFER:

• ​A fast-paced, highly professional, international team environment with a flat structure and rapid decision-making.
• ​Competitive compensation packages commensurate with your background and product portfolio.
• ​Flexible, remote-first workflow optimized for seamless global alignment.
• Medical Insurance in Ukraine and a Multisport program in Poland.
• Offices in Ukraine (Kyiv, Kharkiv) and Poland (Wroclaw) or Remote.
• Paid vacation, sick leave, and official holidays.
• Legal & Accounting services.
• The company provides all necessary equipment.
• English classes and Education reimbursement.

Position: Middle Graphic & UI/UX Designer
Employment Type: Part-time
Location: Remote
 

We are looking for a talented Middle Graphic & UI/UX Designer to join our team and support eCommerce Website Development projects. If you have a strong visual taste, solid UI skills, and enjoy creating both marketing and product design materials — we'd love to connect.
 

Requirements:

• 2+ years of experience in a similar Graphic / UI/UX Designer role;
• English level: strong Intermediate or higher (written & spoken);
• Strong skills in composition, layout, graphic design, and UI;
• Excellent sense of color, typography, and visual hierarchy;
• Experience in designing presentations, illustrations, and infographics;
• Confident knowledge of design tools: Photoshop, Adobe Illustrator, After Effects, Figma;
• Practical experience using modern AI tools for design (e.g. Midjourney, DALL·E, Adobe Firefly, Figma AI plugins) to speed up ideation, generate visual concepts, and optimize workflow;
• Attention to detail and high-quality design standards;
• Strong time management skills and ability to work independently;
• Flexibility, proactivity, and results-oriented mindset.
   

Responsibilities:

• Create design materials for the corporate website and blog;
• Develop UI/UX design solutions for new website blocks and pages;
• Design marketing creatives for social media and email campaigns;
• Create presentations, infographics, and visual content for internal/external needs;
• Design advertising banners for marketing campaigns;
• Support Sales and PM teams with design tasks for external client projects;
• Leverage AI-powered design and productivity tools to accelerate concept generation and streamline day-to-day design tasks.
   

What we value:

• Strong visual taste and ability to keep designs modern and clean;
• Ability to work with feedback and iterate quickly;
• Responsibility and ownership of tasks;
• Clear communication and collaboration mindset;
• Ability to balance creativity with business goals;
• Openness to using AI tools as part of the design process to boost efficiency and creativity.
   

Nice to have:

• Experience in eCommerce design projects;
• Understanding of UX principles and user behavior;
• Experience with motion design and animations;
• Experience preparing assets for developers and marketing teams;
• Familiarity with prompt engineering for image/design generation tools.
   

We Offer:

• Flexible part-time schedule;
• Friendly and supportive team and management;
• Fully remote work format;
• Opportunity to work on various eCommerce and marketing-related projects.
   

About us:
Empowering Your eCommerce Success — WebMeridian is a team of professionals dedicated to creating cutting-edge solutions for eCommerce. While our primary expertise lies in Magento 2, we continuously expand our technology stack and refine our skills to deliver exceptional solutions for businesses.
 

Interview stages:

1. Pre-screen with Recruiter;
2. Review a portfolio;
3. Stage with CEO + HR;
4. Offer;
5. Offer call;
6. Onboarding.