Jobs ML / AI

Our client is the leader in the Early Childhood Education (ECE) sector, providing the most widely used developmental assessment and curriculum system in the US. 

They are early in shaping how AI changes the way they build and operate software. They have active initiatives in AI tooling cost-management and agentic development workflows, but their direction is still forming and will keep evolving as the field does. 

They are not looking for someone to execute a fixed plan, they are looking for an experienced practitioner who can validate the direction we are setting, bring expertise we do not have in-house, stay ahead of what is emerging, and help us adjust and grow as the landscape shifts. This person is hands-on enough to build and prove things directly, and senior enough that we trust their judgment on where to place bets.

What you will do

• Act as a hands-on technical partner across AI engineering initiatives, currently spanning tooling cost management, model routing and selection, and agentic development workflows.
• Pressure-test the approaches they are considering, tell them where they are wrong or where a better path exists, and back it with evidence rather than opinion.
• Bring outside expertise and patterns from how other organizations are solving these problems, so they are not learning everything the expensive way.
• Track what is emerging across models, tooling, frameworks, and techniques, and translate it into concrete recommendations on what they should adopt, defer, or ignore.
• Build and run proofs of concept to validate ideas quickly, then help them decide what to operationalize.
• Help mature their agentic development workflow so engineering teams can adopt it, including model routing and token efficiency.
• Partner with Infrastructure and Security so that what they build fits their architecture and meets their data privacy obligations.
• Help them build internal capability, so the expertise compounds with their team and does not leave when the engagement ends.

Required background

• 7+ years in software, platform, or ML engineering, with recent, direct experience building and operating LLM-backed systems in production.
• Demonstrated breadth across the current AI engineering stack: models and their tradeoffs, inference cost dynamics, gateways and routing, agentic workflows, and the AI coding tool landscape.
• A track record of forming a point of view on fast-moving technical decisions and being right often enough to be trusted with them.
• Strong hands-on engineering ability. This person builds, benchmarks, and ships, not just advises.
• Comfort operating with ambiguity and early-stage direction; able to bring structure rather than wait for it.

• Cloud and infrastructure fluency (AWS preferred, including Bedrock).

   

Strongly preferred

• Experience helping an organization adopt AI-first engineering practices, not just individual tool use.
• Hands-on model evaluation and routing design, and exposure to AI cost governance.
• Experience in regulated data environments. 
• A habit of staying current through real practice (building, writing, contributing) rather than headlines.

What this role is not

• Not a fixed-scope implementation seat. The work will change as their direction evolves, and they want someone who helps drive that change.
• Not a data science or model training role. The focus is applied AI engineering, integration, and enablement.
• Not a manager. Individual contributor, hands-on, with influence earned through expertise.

We are looking for an AI Solutions Engineer to join our team! The AI Solutions Engineer designs, builds, and operates production-ready AI solutions for IT Operations, IS Operations, and Governance. Working with the AI Enablement Lead and operational experts, the role turns prioritized use cases into secure, maintainable, and reusable AI capabilities.
 

Responsibilities:

• Design, build and deploy AI agents and AI-enabled solutions.
• Implement Retrieval-Augmented Generation, prompt workflows and process automations.
• Integrate AI solutions with existing applications, knowledge sources and enterprise platforms.
• Develop reusable technical components, integration patterns and implementation standards.
• Work closely with operational experts to turn use cases into production-ready solutions.
• Ensure that solutions are secure, maintainable, scalable and aligned with the wider client's AI technology stack.
• Monitor, support, and continuously improve productive AI solutions.
• Instrument solutions to measure the productivity improvements achieved.

Requirements: 

• Hands-on experience developing and deploying AI solutions in productive environments.
• Strong knowledge of AI agents, Retrieval-Augmented Generation, and prompt engineering.
• Experience with Azure AI, Azure OpenAI, Microsoft Copilot Studio or comparable platforms.
• Strong development skills in Python and experience with REST APIs.
• Experience integrating AI solutions with Microsoft 365 and enterprise applications.
• Knowledge of workflow and automation platforms.
• Experience with GitHub, testing, monitoring, and technical documentation.
• Good understanding of AI security, access management, logging and lifecycle management.

Who we are:

We are a Ukrainian multiproduct company that creates database development and management tools, connectivity solutions, productivity tools, and data services for more than 500.000 clients from 120 countries.

Since 1997, we have been streamlining data workflows for professionals and teams with our intuitive and efficient software products.

We're committed to enhancing the experience of our customers across the globe by minimizing data-related tasks and enabling them to focus on more inspiring goals.

Among our clients you can find such legends as Microsoft Corporation, Oracle America, IBM, Intel, and much more companies that deserved their place in Fortune-100 and Fortune-500.

Whether it's global companies or individuals, we provide a customer-centric approach, delivering high-quality solutions and exceptional support.

Driven by passion, we play a substantial role in shaping the future of data management. 
 
Product that needs your engagement

Skyvia is a versatile no-code SaaS cloud platform designed for data integration, automation, backup, management, and connectivity. It offers support for over 200+ connectors, including popular cloud applications like CRMs, marketing tools, support systems, and management solutions, as well as databases and data warehouses.

Your future team of professionals

You’ll become part of a growing, cross-functional team that is building AI-driven capabilities into the core of our platform. You’ll work closely with engineers, product managers, and designers who are passionate about delivering innovation and tangible value to users

 
The impact you will make:

• Deeply research and analyze AI-driven features implemented by competitors to understand the underlying architecture and approaches.
• Propose multiple implementation options for new AI features, clearly outlining trade-offs, technical implications, and cost efficiency.
• Build standalone proof-of-concepts (PoCs) to validate functionality and feasibility before full-scale development.
• Collaborate closely with the product team to ensure PoCs are aligned with user needs and product goals, maximizing their value.
• Document architectural decisions, implementation plans, and evaluation criteria to ensure transparency and traceability.
• Define or contribute to post-launch evaluation processes, helping to measure the actual impact of features and gather actionable feedback.
• Maintain continuous feedback loops between ideation, implementation, and iteration to ensure long-term value delivery. 

Skills we are looking for: 

• 3+ years of experience in AI/ML engineering or data science.
• Bachelor’s or Master’s degree in Computer Science, Engineering,  or a related field.
• Hands-on experience with LLMs such as OpenAI GPT, LLaMA, or similar.
• Knowledge of agentic techniques, prompt engineering, and fine-tuning language models.
• Familiarity with LangChain or equivalent AI frameworks.
• Experience working with vector databases (FAISS, Qdrant, etc.).
• Proficiency in Python and SQL.
• Understanding of how to work with structured and unstructured data.
• English — Intermediate.

Soft Skills:

• Strong analytical and problem-solving mindset.
• Clear written and verbal communication.
• Ownership, autonomy, and result-driven mindset.
• Adaptability and teamwork.
• Attention to detail and critical thinking.
• Curiosity and willingness to experiment.

Additional skills we would appreciate:

• Familiarity with MCP, ETL, data warehousing, and data extraction (e.g., from web/PDF)
• Understanding of Data Warehousing and ETL

Benefits you get

• Maintain your work-life balance

Manage your own working hours with our flexible schedule

19 days of annual vacation granted on a pro-rata basis

No overtimes required

• Hybrid type of cooperation

Whether you prefer to work remotely in the comfort of your home office or from one of our 4 offices, you can still take part in increasing the world`s awareness about quality Ukrainian products from any part of the world

• Stay healthy

Medical insurance from one of the top insurance companies in Ukraine with a wide range of included services, as well as special programs for relatives; and special options for those who live abroad.

15 working days of sick leave per year — because your health is a priority.

• Grow with us

In-house English courses — increase your proficiency through our online courses and speaking clubs with a native speaker

Online learning activities — workshops, lectures, and webinars to enhance your leadership, management, and self-awareness skills

Experience exchange — we are proud of our team of professionals who gladly share their deep expertise in all kinds of fields with the rest of the team

Promotions, rotations, and transitions — when you believe your skills could benefit a different role or team.

• Stand with Ukraine!

We have an active pro-Ukrainian position, and that means we help our army, our servicemen, and their families not only through constant donations and volunteering, but also through our military leave policy, special health insurance options, and financial help

We are a perfect match if you share our values

We are professionals in our field.

We know how to turn up our professionalism to the maximum, because we are experts who enjoy solving complex tasks.

We know how to focus on the product, think big, and at the same time delve deep into the details.

We create a calm and friendly atmosphere within the company.

We value the freedom of open and transparent communications.

Radical honesty is embedded in the foundation of our culture.

We are open to new things and constantly develop and practice regular knowledge sharing, which helps us evolve continuously.

Most importantly, the company creates an environment where we can fulfill our potential upon a solid foundation.

Our Hiring Process

• Recruitment Interview
• Technical Interview
• Offer Call

At Avanquest, we build software that makes digital life genuinely easier, for everyday users and professionals alike, all over the world. Smooth document management, faster and safer devices, and browsing without the hassle: we spot the everyday frustrations and fix them. Millions of people around the world count on us. And we're just getting started.

We're growing fast, and we're hungry for more. With teams across North America and Europe, we tap into a wide range of perspectives to push our thinking further. AI isn't a buzzword here, it's a real engine for change. We use it to sharpen our products, break new ground, and build experiences that actually move the needle.

Creativity and boldness are welcome at every level. We don't want order-takers, we want builders. The best idea wins, no matter who it comes from. Here, personal ambition and team spirit don't compete, they feed each other. If you want to stretch yourself, make a real impact, and win as a team, you're in the right place.

We're looking for an AI Integration Engineer to own the model-serving API, AI-powered web app features, and the orchestration backbone of our document processing platform. This is a high-ownership, full-stack role for engineers who want to build real AI systems — not just wire up third-party APIs.

What you'll be responsible for:

Model Serving & API 

• Evaluate and deploy open-source LLMs via vLLM, Ollama, or TGI on GPU infrastructure; 
• Design and maintain a REST API with auth, rate limiting, versioning, and API documentation; 
• Optimize inference: quantization, batching, and concurrency tuning for latency/cost trade-offs. 

Web App Integration 

• Integrate AI features into our web apps and document processing platforms; 
• Build AI-powered UI components: chat interfaces, inline suggestions, smart search, and summarization widgets; 
• Collaborate with frontend engineers on UX patterns specific to async and streaming AI responses. 

Document Orchestration 

• Design multi-step orchestration pipelines for document ingestion, parsing, classification, and extraction; 
• Integrate OCR, layout detection, and chunking strategies for PDFs, Word docs, spreadsheets, and scanned images; 
• Build RAG pipelines with hybrid retrieval (dense + sparse) over document corpora; 
• Implement task queues and async workers to handle high-volume document processing reliably. 

Platform & Collaboration

• Write technical docs, so the platform is maintainable by the whole team and accessible for technology partners; 
• Stay current on the open-source model ecosystem and advise on model selection and upgrades.

The profile we're looking for:

• 3+ years of experience across backend, API design, and web technologies;
• Proven track record deploying or integrating LLMs in production (open-source models strongly preferred);
• Hands-on knowledge of REST API design and at least one API framework;
• Experience building AI features in web apps, including streaming and async response handling;
• Familiarity with document processing workflows — OCR, parsing, classification at scale;
• Comfortable designing multi-step orchestration pipelines with task queues, retries, and failure handling;
• Strong communication skills; able to reason about trade-offs across latency, cost, and accuracy with stakeholders.

Here's what we offer:

Working at Avanquest means thriving in an environment where performance and well-being go hand in hand. We believe in flexibility, balance, and ongoing professional growth.

Here's what's waiting for you:

• Working at Avanquest means thriving in an environment where performance and well-being go hand in hand. We believe in flexibility, balance, and ongoing professional growth
• A fair compensation for your value;
• Bonus program, paid vacation leave, and more;
• We are committed to maximizing your potential and ensuring your professional development;
• Interaction with local and international teams;
• A friendly and collaborative work environment, where authenticity and well-being are a priority.

We value and support diversity. We are committed to providing an environment that promotes inclusion and respect for all. We therefore encourage women, people of all gender identities, Aboriginal people, and people with disabilities to apply for our positions.

Visit our website: www.avanquestgroup.com

Cloudfresh ⛅️ is a Global Google Cloud Premier Partner, Zendesk Premier Partner, Asana Solutions Partner, GitLab Select Partner, Hubspot Platinum Partner, Okta Activate Partner, and Microsoft Partner.

Since 2017, we’ve been specializing in the implementation, migration, integration, audit, administration, support, and training for top-tier cloud solutions. Our products focus on cutting-edge cloud computing, advanced location and mapping, seamless collaboration from anywhere, unparalleled customer service, and innovative DevSecOps.

We're looking for an AI Architect to become our lead technical expert for client AI solutions and to help stand up our AI Competence Centre and internal AI Lab.

This is a client-facing technical role first, with a build-and-lead dimension. Expect roughly 60% solution architecture and pre-sales engineering for enterprise clients, and 40% establishing the AI Lab and mentoring engineers. You'll technically lead and raise the bar for the team - this is a technical leadership role, not a people-management line.
Reports to: Head of AI.

Requirements

• Experience & seniority. 5+ years in software, data, or ML engineering, including 3+ years delivering ML/AI in production and 2+ years in a client-facing architect or technical lead capacity.
• Cloud & AI infrastructure. Production-level experience on Google Cloud Platform, especially the Vertex AI suite, plus integrating third-party model providers such as Anthropic.
• GenAI engineering. Strong hands-on knowledge of RAG, agentic workflows, orchestration frameworks (LangChain, LlamaIndex), vector databases, and prompt/context engineering.
• Production & MLOps. Hands-on with the ML lifecycle, CI/CD for models, automated deployment, and cloud cost management - including right-sizing models (lighter vs. heavier) to control spend.
• Evaluation, guardrails & observability. Practical experience building LLM evaluations, guardrails, and monitoring for accuracy, safety, latency, and cost in production.
• AI governance & security. Familiarity with data governance, model risk, and EU regulation (EU AI Act, GDPR) as it applies to enterprise AI — we're primarily EU-based.
• Pre-sales & client experience. Proven experience presenting to enterprise clients, scoping technical projects, and translating complex AI concepts into clear business value.
• Technical leadership. Experience guiding engineers, reviewing architecture and code, and raising team capability.
• Languages. Native Ukrainian — required, as you'll run Ukrainian-language pre-sales — and strong English (B2+/C1 minimum).

• Mindset & agility. An intrapreneurial drive to build an AI Lab from scratch inside an established business, plus the agility to move smoothly between client pre-sales and deep technical architecture.

   

Responsibilities

• Solution architecture. Design and own end-to-end AI systems for strategic enterprise clients - reference architectures, data and retrieval pipelines, agentic layers, and integration with existing enterprise systems - with a clear path from prototype to scalable, secure, observable production.
• Pre-sales & consulting. Partner with sales to qualify and win AI opportunities: run technical discovery, scope solutions, size effort and cost, and translate AI into business value, ROI, and risk for C-level stakeholders.
• Technical leadership & mentorship. Set architecture and engineering standards, run design and code reviews, and level up engineers across the AI practice.
• AI Lab & R&D. Stand up and run the internal AI Lab - rapid client prototypes and cost-effective internal AI tooling - with a clear bar for what graduates into production.
• Partner collaboration. Work with our core AI partners (Google Cloud / Vertex AI, Anthropic) to build joint solutions, access early capabilities, and shape our technical roadmap.
• Governance, security & cost. Build guardrails, evaluation, and observability into every solution; keep architectures compliant (EU AI Act, GDPR) and cost-aware through right-sized model selection.

Would be a plus

• Google Cloud Professional Machine Learning Engineer and/or Professional Cloud Architect certification.
• Hands-on enablement or certification with Anthropic and Vertex AI generative-AI stacks.
• Direct experience mapping solutions to the EU AI Act risk framework.
• Fine-tuning, distillation, or model-optimization experience.
• Production experience with voice/multimodal AI (e.g., ElevenLabs) or AI-assisted engineering tooling (e.g., Cursor).
• Contributions to the open-source GenAI ecosystem.

Work conditions

• Flexible Work Format: Work remotely, allowing you to balance your professional and personal life efficiently.
• Training with Leading Cloud Products: Access in-depth training on cutting-edge cloud and AI solutions, enhancing your expertise and equipping you with the tools to succeed in an ever-evolving industry.
• International Collaboration: Work alongside A-players and seasoned professionals in the cloud industry.
• Global Exposure: Expand your expertise by engaging with international markets across the EMEA and CEE regions.
• Vibrant Team Environment: Be part of an innovative, dynamic team that fosters both personal and professional growth, creating opportunities for you to advance in your career.
  
  When applying to this position, you consent to the processing of your personal data by CLOUDFRESH for the purposes necessary to conduct the recruitment process, in accordance with Regulation (EU) 2016/679 of the European Parliament and of the Council of April 27, 2016 (GDPR).
  Additionally, you agree that CLOUDFRESH may process your personal data for future recruitment processes. You can withdraw this consent at any time.

Welcome to Drawer.AI!

- What we do: AI-driven workflows that let estimators pull quantities and costs from complex PDF drawing sets.  
- Stage: Seed-funded, revenue-generating, aiming for a Series A in 2026.  
- Why join now: Real customers are pushing our roadmap faster than our current front-end team can build.

We are looking for an AI/ML Engineer who will work at the intersection of LLMs, classical algorithms, and applied machine learning, focusing on designing and improving intelligent systems that solve complex real-world problems.

Key Responsibilities:

• Conduct extensive research, prioritize and analyze possible approaches to solving complex technical problems.
• Audit existing algorithms and improve them using LLM/ML approaches.
• Design and develop new solutions that combine LLMs with traditional algorithmic techniques.
   

Requirements:

• 5+ years of experience in AI, mathematical optimization, or a closely related field.
• Solid understanding of machine learning and deep learning concepts.
• Experience with neural networks for object classification, detection, and segmentation.
• Strong mathematical and statistical foundation (linear algebra, Euclidean geometry, probability).
• Strong expertise in algorithms and data structures (graph theory, computational geometry, mathematical optimization).
• Proficiency with deep learning frameworks such as TensorFlow, PyTorch, or equivalent.
• Proven experience writing custom algorithms and heuristics, and integrating them with ML approaches.
• Experience deploying models in production environments.
• Hands-on experience with AWS services (S3, Lambda, Step Functions, Bedrock).
• Experience building LLM-powered pipelines with LangChain.

Nice to have:

• Experience with graph neural networks (GNNs).
• Experience extracting and processing information from PDF and SVG files.
• Experience with Django, FastAPI.
• Track record of integrating LLMs into production products.
• Published research in any domain of AI.
• Relevant AI/ML certifications.
• Participation in hackathons or Kaggle competitions.
• Master’s or PhD in Computer Science or a related field.

Join our stellar team at Drawer.AI, where excellence meets opportunity! Experience the exceptional; enjoy a competitive salary and career advancement and the outstanding work environment we take pride in. Elevate your professional journey with us – because we believe in creating success together. Build a better future with us!

We are looking for an AI/ML Research Scientist.

Requirements:

• PhD with 1+ years of research experience in Electrical Engineering, Computer Science, Information Systems, or a STEM-related field
• 1+ years of experience with modern machine learning architectures including Transformers, Graph Neural Networks, and Diffusion models
• Strong coding skills in Python and C++
• Experience with machine learning frameworks like PyTorch
• At least 1 publication in top machine learning conferences (NeurIPS, ICML, ICLR, etc.)
• Experience with deep learning on graphs (general graphs, circuit graphs, molecular graphs, or trees)
• Familiarity with classical search and optimization techniques (Genetic Algorithms, Monte-Carlo Tree Search, Dijkstra's Algorithm, etc.)
• Experience with EDA tools, either commercial or open-source
• Publications in top-tier venues focusing on AI for chip design or AI for materials science. 

Job Description

Our customer is one of the world’s top 10 software publishers, trusted by more than 10 million customers worldwide. The company develops innovative Creativity & Learning software, Utilities, and Multimedia solutions, leveraging cutting-edge technologies to deliver seamless, secure, and user-friendly experiences for both consumers and businesses. With over 650,000 software products sold every year - and one purchase made every few seconds - they continue to shape the future of digital software.

We’re looking for an AI Integration Engineer to join this mission and take ownership of the model-serving API, AI-powered web application features, and the orchestration backbone of a next-generation document processing platform. This is a high-impact, full-stack role for engineers who want to build real AI systems - not just integrate third-party APIs.

Job Benefits

▪ Competitive salary
▪ Sick, personal leave
▪ Flexible working hours
▪ Flexible working location (Remote/Office/Mixed)
▪ Technical equipment
▪ Professional development and regular Performance Appraisals
▪ Health Insurance
▪ Online courses
▪ Corporate events, tech talks, and so on

Requirements

▪ 3+ years of experience across backend, API design, and web technologies;
▪ Proven track record deploying or integrating LLMs in production (open-source models strongly preferred);
▪ Hands-on knowledge of REST API design and at least one API framework;
▪ Experience building AI features in web apps, including streaming and async response handling;
▪ Familiarity with document processing workflows — OCR, parsing, classification at scale;
▪ Comfortable designing multi-step orchestration pipelines with task queues, retries, and failure handling;
▪ Strong communication skills; able to reason about trade-offs across latency, cost, and accuracy with stakeholders.

Responsibilities

Model Serving & API 

▪ Evaluate and deploy open-source LLMs via vLLM, Ollama, or TGI on GPU infrastructure;
▪ Design and maintain a REST API with auth, rate limiting, versioning, and API documentation;
▪ Optimize inference: quantization, batching, and concurrency tuning for latency/cost trade-offs. 

Web App Integration 

▪ Integrate AI features into our web apps and document processing platforms;
▪ Build AI-powered UI components: chat interfaces, inline suggestions, smart search, and summarization widgets;
▪ Collaborate with frontend engineers on UX patterns specific to async and streaming AI responses. 

Document Orchestration 

▪ Design multi-step orchestration pipelines for document ingestion, parsing, classification, and extraction;
▪ Integrate OCR, layout detection, and chunking strategies for PDFs, Word docs, spreadsheets, and scanned images;
▪ Build RAG pipelines with hybrid retrieval (dense + sparse) over document corpora;
▪ Implement task queues and async workers to handle high-volume document processing reliably. 

Platform & Collaboration

▪ Write technical docs, so the platform is maintainable by the whole team and accessible for technology partners;
▪ Stay current on the open-source model ecosystem and advise on model selection and upgrades.

Who we are

Proffiz is a web and mobile software engineering company of dedicated professionals based in Ukraine and Poland. Throughout years of passionate work, we create software solutions for Fintech, Print,  Photo&Image, and other industries. At Proffiz, we strive to deliver top-quality of our work and are looking for exceptional talent to join us. If you are excited about the opportunity to collaborate and grow among passionate experts — we invite you to our team!

Ready, Steady, Go!)

Company Overview:
Webxloo, LLC is an international software development company founded in 2005, with headquarters in Florida, USA, and a branch in Ukraine. Our products, including Autoxloo and Simulcast , focus on business automation and real-time systems in the automotive industry. We are expanding and seeking a highly skilled AI & PHP Backend Developer to join our team.
 

Role Overview:
As an AI & PHP Backend Developer at Webxloo, you will play a dual role: designing and implementing AI-based automation solutions while developing and maintaining robust backend systems using PHP. You will collaborate with cross-functional teams to enhance our product offerings, ensure system scalability, and deliver intelligent automation solutions that provide real business value.
 

Key Responsibilities:

• Design, implement, and maintain AI-driven automation workflows to optimize internal and external processes.
• Build intelligent automation using machine learning, LLMs, and low-code/no-code tools such as n8n, Zapier, or Power Automate.
• Integrate AI features into enterprise platforms and software products.
• Develop and maintain backend modules using PHP frameworks such as YII2, Laravel, or Symfony.
• Work with databases including MySQL/MariaDB, MongoDB, Redis, and ensure efficient data management.
• Implement clean, maintainable code following OOP principles, SOLID, DRY, KISS, YAGNI, and PSR standards.
• Collaborate with front-end developers, QA, design, and support teams to deliver high-quality features.
• Monitor, debug, and enhance existing codebases to ensure system reliability, performance, and security.
   

Required Skills & Qualifications:

• 1+ year of experience in AI development, workflow automation, or backend PHP development.
• Solid experience with PHP frameworks (YII2, Laravel, Symfony) and OOP principles.
• Proficiency with MySQL/MariaDB, MongoDB, and caching/message queue systems (Redis, RabbitMQ).
• Experience with RESTful APIs, XML, DOM, CURL, and Regex.
• Familiarity with AI/ML tools, LLMs, and enterprise automation platforms.
• Strong analytical skills and attention to detail.
• English proficiency (intermediate or higher) for technical documentation and collaboration.
• University degree in Computer Science, Engineering, or a related field.
   

Preferred/Advantageous Experience:

• Experience with cloud platforms, Docker, Kubernetes, or serverless architectures.
• Experience in automotive, healthcare, or digital commerce industries.
• Knowledge of frontend frameworks (React, Vue.js) is a plus.
   

What We Offer:

• Competitive salary with regular reviews.
• Standard working schedule with no overtime (9:00 - 18:00, lunch break 13:00 - 14:00).
• Exposure to international projects with various AI and backend development challenges.
• Career growth, skill expansion, and leadership opportunities.
• Collaborative team environment with experienced professionals.
   

Technical Requirements:

• Computer or laptop with at least 16GB of RAM.
• High-speed internet (minimum 20 Mbps).

• Headset and webcam for regular video calls.
   
  Candidates must have AI certification from Anthropic (Claude) or equivalent accreditation institutions, demonstrating practical experience in developing with COWORK, AGENTS, SKILLS, LLM, workflows, automations, or other AI solutions. Link for the required courses: https://claude.com/resources/courses or equivalent.
   

  Candidates must have worked with clear understanding utilizing the Anthropic Claude Co-working workspace and tools.

If you are interested in this opportunity, we encourage you to apply now.

We are seeking an experienced AI Edge Device Developer to join our dynamic team. The ideal candidate will be responsible for designing, developing, and optimizing AI algorithms and models for deployment on edge devices. Excellent problem-solving skills, attention to detail, and the ability to work in a fast-paced environment are essential for success in this role. If you are passionate about pushing the boundaries of AI at the edge and thrive in a collaborative environment, we encourage you to apply.
 

About:

Our client is developing electro-mechanical devices for dairy farms, pulsators and automatic detachers. The solution is leading in the industry with advanced cow monitoring solutions based on activity and rumination sensors.

Responsibilities:

• Designing, developing, and optimizing computer vision pipelines for deployment on edge devices;
• Cross-compiling solutions for various CPU/NPU/VPU types. Perform performance analysis and optimization to ensure real-time processing capabilities on edge devices;

• You will face real-life challenges and complexities emerging from working closely with our AI researchers to provide market leading products.

   

Requirements:

• 5+ years experience in Python, C/C++;
• Hands-on experience with GStreamer or DeepStream;
• Experience with TensorRT, ONNX;
• Experience with processing multiple video streams;
• Hand-on experience with ML accelerators, such as: Nvidia Jetson, Google Coral;
• Proficient in Linux;
• Proficient in Git version control;
• Bachelor's Degree in Computer Engineering, Computer Science or related fields;

• At least Upper-Intermediate English level.

   

Would be a plus:

• Understanding of concepts in signal processing, machine learning and computer vision;
• Familiarity with machine learning frameworks such as TensorFlow, PyTorch;
• Neural network models quantization and pruning;
• Familiarity with building Docker images (Docker files);
• Understanding of CI/CD processes for production code, unit tests, and regression testing;

• Knowledge of CUDA.

   

We offer:

Professional Development: Free English courses, free access to the corporate Udemy account, corporate digital library subscription, possibility to participate and share your knowledge as a speaker in our internal meetups.

Benefits: 100% paid vacation and sick leaves, opportunity to accumulate part of the own salary in the company in dollar terms.

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.
   

We are looking for an Applied AI Engineer to help our team design, develop, and improve production AI systems powered by LLMs.

Responsibilities

• Develop and improve LLM and RAG pipelines.
• Work with structured outputs, tool calling, and agentic workflows.
• Integrate AI components with backend systems and external services.
• Evaluate model performance and reduce errors.
• Research and apply new AI approaches.
• Use Claude Code, Codex, and other AI development tools.

Requirements

• 1+ year of commercial software development experience.
• Strong knowledge of at least one programming language: Python, JavaScript/TypeScript, Java/Kotlin, C#, or another backend language.
• Practical experience with LLM APIs or AI-powered features.
• Understanding of RAG, embeddings, vector search, and prompt engineering.
• Experience with APIs, databases, and Git.
• Strong technical thinking, independence, and a desire to grow in Applied AI.

Python experience is a plus, but we are open to candidates with other strong technical backgrounds.

Nice to Have

• Experience building LLM or RAG solutions.
• Understanding of ML fundamentals, datasets, and AI system evaluation.
• Experience with vector databases, FastAPI, Langfuse, LangChain, or LlamaIndex.
• Experience with Docker, queues/workers, or event-driven systems.
• Personal AI projects or open-source contributions.

We do not expect candidates to know everything listed above. Practical thinking, a strong technical foundation, and the ability to learn quickly are more important to us.

What We Offer

• Fully remote work.
• Work on real production AI systems.
• The opportunity to influence architecture and technical decisions.
• Practical experience with LLMs, RAG, AI evaluation, and agentic systems.
• Minimal bureaucracy and direct communication with the team.
• Opportunities to grow professionally together with the product.

We are looking for a highly organized and detail-oriented AI Image Editing & Back Office Specialist to join our team.
 

This role combines AI-powered image editing with operational back-office support. You will receive requests through our help desk system, process AI image edits, and ensure every request is completed accurately and assigned to the correct ticket.
 

Success in this role depends on attention to detail, strong organizational skills, and the ability to manage a high volume of requests without mistakes.
 

Responsibilities

• Edit static images using AI face swap and image editing tools.
• Process requests received through the internal help desk system.
• Prepare edited images and return them to the appropriate support ticket.
• Maintain accuracy and consistency across all requests.
• Handle multiple tasks simultaneously while following established workflows.
• Perform back-office tasks within internal systems.
• Ensure all requests are completed correctly and on time.
 

Requirements

• Experience using AI tools for editing static images and face swaps.
• Strong attention to detail and excellent organizational skills.
• Previous experience with back-office or operational support.
• Comfortable working with ticketing/help desk systems.
• Ability to manage a high volume of repetitive tasks while maintaining accuracy.
• Self-motivated and able to work independently.
 

Nice to Have

• Experience with tools such as FaceFusion, Roop, InsightFace, ComfyUI, Stable Diffusion, Flux, Photoshop AI, or similar AI image editing software.
• Experience working in customer support platforms or help desk systems.
• Experience with workflow automation.
 

What We Offer

• Remote full-time position.
• Comprehensive salary
• Long-term opportunity.
• Work with modern AI technologies.

Technical leader of the AI solutions practice: accountable for the architecture and quality of solutions the team takes from pilot to production, and for the technical management of the team.

Scope of responsibility

• Technical architecture of AI solutions: choosing the approach (RAG, fine-tuning, agentic pipelines, classical ML) and assessing the cost / quality / time-to-deploy trade-offs
• Decomposing business requirements into a technical backlog; effort estimation and building estimates with appropriate buffers
• Technical management of a team of 5-10 people: task allocation, code review, mentoring, competency development
• Ownership of delivering projects to a measurable business outcome rather than to a demo
• Establishing the quality loop for models: metrics, evaluation sets, regression testing of prompts and pipelines

• Technical communication with clients: defending architectural decisions, participating in presales and proposal development

   

Must-have requirements

• 5+ years in  ML, including 2+ years in a technical leadership role (team lead, tech lead)
• Hands-on experience taking LLM solutions to production: RAG, vector stores, agent orchestration, working within context and model constraints
• Production-level Python; solid understanding of API integrations, queues, and asynchronous pipelines
• Experience with cloud platforms (Azure / AWS / GCP), containerisation, and basic CI/CD
• Estimation and planning skills: able to produce a realistic estimate and explain what it consists of
• Ability to hold a technical conversation with business stakeholders without falling into jargon

• English at Upper-Intermediate level or above (documentation and client-facing work)

   

Nice to have

• Experience in a consulting or project-based delivery model (multiple parallel clients, fixed scopes)
• Experience building LLM output quality assessment processes (LLM-as-judge, human-in-the-loop)
• Experience with as-is / to-be process mapping and identifying automation opportunities
• Experience introducing AI-assisted development practices (agentic coding tools, conventions) to a team

• Experience with self-hosted model deployment and its cost economics

   

Soft skills and management profile

• Takes ownership of the team's results, not only of their own code
• Able to tell a client "this won't work" and propose an alternative
• Develops people: walks through the reasoning behind decisions rather than simply correcting them
• Comfortable working with unstable requirements — the normal condition of AI projects
• Willing to run difficult performance conversations, not only supportive mentoring

About 3DLOOK
3DLOOK is a leader in AI-powered body measurement technology. Our proprietary computer vision platform transforms two smartphone photos into accurate 3D body measurements and body composition data used by global brands in apparel, healthcare, fitness, and wearables. We build scalable AI solutions that solve real-world problems for enterprise customers worldwide.

About the Role
We're looking for a Senior Backend Engineer to design, build, and scale the backend services powering our AI platform. You'll develop high-performance APIs and distributed systems, optimize cloud infrastructure, and collaborate with Product, AI, Mobile, and DevOps teams to deliver reliable, scalable solutions used by enterprise customers.

Responsibilities
- Design, develop, and maintain scalable and reliable backend systems, services, and
APIs.
- Translate business requirements into scalable, reliable, and maintainable solutions.
Improve the reliability, observability, and performance of existing systems.
- Troubleshoot production issues and perform fixes or enhancements.
Integrate third-party APIs and cloud services.
- Write clean, maintainable, and well-tested code.
- Participate in code reviews, release processes, and contribute to engineering best practices.
- Contribute to CI/CD pipelines and deployment processes.
- Work with containerized applications and Kubernetes-based deployments.
- Collaborate closely with cross-functional engineering teams.

Qualifications
Required
- 7+ years of commercial Python development experience.
- Strong knowledge of Python 3.x and the standard library.

- Excellent knowledge of Django and its ecosystem.
- Deep understanding of concurrent programming (multithreading, multiprocessing, asyncio).
- Experience with asynchronous frameworks (FastAPI, aiohttp)
- Strong understanding of OOP, SOLID, DRY, and KISS principles.
- Deep understanding of RDBMS(PostgreSQL) and NoSQL systems.
- Experience working with ORMs (Django ORM, SQLAlchemy).
- Experience designing and building distributed systems.
- Experience with AWS services, containerization, Git, and CI/CD pipelines.
- Experience with Celery, Redis, RabbitMQ, or similar messaging systems.
- Experience integrating third-party APIs.
- Experience writing automated tests using pytest and unittest.
- Experience working in Agile/Scrum environments and participating in code reviews, design discussions, and release cycles.
- Ability to write clean, structured, and maintainable code.
- Upper-Intermediate (B2+) English or higher with strong written and verbal communication skills.
- Experience using AI-assisted development tools to improve development productivity and code quality.
- Comfortable leveraging modern AI tools for code generation, debugging, documentation,
testing, and research while maintaining high engineering standards.
- Ability to effectively use AI-powered development tools to accelerate software delivery
and improve engineering efficiency.
 

Location
- Fully remote.
- Comfortable collaborating across European and US time zones.