Jobs

Are you a Data Scientist with a love of LLMs, generative AI?

We are looking for a passionate Data Scientist to implement AI solutions aimed at achieving business goals.

This role offers the opportunity to work on cutting-edge AI adoption projects that helps to improve current business processes.

Skills requirements:
• Strong Python Experience (1 year +);
• Experience with LLM , Diffusion models;
• Knowledge of Prompt engineering;
• Experience with Gen AI-related technologies such as LangChain and RAG;
• Experience with Neural Networks (Optional) ;
• Experience with NLP , Predictive analytics and Machine learning;
• Experience with Pandas;
• Experience with SQL, including experience with large datasets;
• Strong experience in statistics;

Key responsibilities:
• Develop AI agents that utilize LLM, RAG and langchain approach;
• Implement LLM and Diffusion models to boost business productivity;
• Utilize LLM (LLM Vision) to improve object detection, text classification and extraction;
• Create forecasting, recommendation, and classification models;
• Transform business challenges to AI applications;

We offer:

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary nominated in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

Automat-it is where high-growth startups turn when they need to move faster, scale smarter, and make the most of the cloud. As an AWS Premier Partner and Strategic Partner, we deliver hands-on DevOps and FinOps and GenAI support that drives real results.

We work across EMEA, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech

We seek an experienced MLOps Engineer to join our team. You will work hands-on with innovative startups' Data Science and R&D teams and be in charge of various projects. You will develop robust MLOps pipelines, create cutting-edge Generative AI solutions, implement the latest technologies, and ensure the customers’ success by overseeing the project from inception to completion.

📍 Work location - remote from Ukraine

If you are interested in this opportunity, please submit your CV in English.

Responsibilities:

• Developing MLOps pipelines leveraging the Amazon SageMaker platform and its features
• Developing Generative AI solutions and POCs, utilizing the latest architectures and technologies
• Provision of ML AWS resources and infrastructure
• Developing ML-oriented CI/CD pipelines using GitHub Actions, Bitbucket, or similar tools
• Deploying Machine Learning models in production
• Help customers tackle challenges on a scale using distributed training frameworks  
• Learning new skills and technologies quickly
• Using and writing Terraform libraries for infrastructure deployment
• Developing CI/CD pipelines for projects of various scales and tech stacks
• Maintaining infrastructures and environments of all types, from dev to production
• Security monitoring and administration
   

Requirements:

• Excellent customer-facing skills to understand and address client needs effectively 
• Ability to design and implement cloud solutions and to build MLOps pipelines on AWS
• Experience with one or more MLOps frameworks like Kubeflow, MLFlow, DataRobot, Airflow, etc. 
• Fluency in Python, a good understanding of Linux, and knowledge of frameworks such as scikit-learn, Keras, PyTorch, Tensorflow, etc.
• Ability to understand tools used by data scientists and experience with software development and test automation
• Experience with one or more large language model frameworks like OpenAI SDK, Amazon Bedrock, LangChain, and LlamaIndex
• Fluent written and verbal communication skills in English
• Working knowledge of some Vector Databases (OpenSearch, Qdrant, Weaviate, LanceDB, etc) - an advantage
• Experience with Docker and Kubernetes - an advantage
• Working knowledge with Snowflake, BigQuery, and/or Databricks - an advantage
• GCP or Azure knowledge (DevOps/MLOps) - an advantage

• ML certification (AWS ML Specialty or similar) - an advantage

   

Benefits

• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
• International work environment
• Referral program – enjoy cooperation with your colleagues and get a bonus 
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
• English classes
• Soft skills training

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognising the value you bring to our team.

Our client is a USA Product Company, with headquarters in Atlanta, Georgia. His product is a supply chain planning and automation platform.

As we continue to grow and evolve, we're seeking a pioneering Autonomous AI Developer to architect and implement advanced agentic AI systems that revolutionize our supply chain planning operations. This role focuses on creating autonomous agents using modern agentic frameworks to develop self-improving, goal-directed systems that can independently handle complex supply chain decisions while maintaining robust alignment with organizational objectives.

Responsibilities

· Design and implement agentic AI architectures using frameworks like AutoGPT, BabyAGI, and AgentGPT to create goal-oriented autonomous systems for supply chain planning

· Develop custom agentic frameworks that combine LLMs, tool use, memory systems, and planning capabilities to create sophisticated supply chain agents

· Architect multi-agent systems with specialized roles (Planner, Executor, Controller, Observer) that can collaborate and coordinate complex supply chain operations

· Implement advanced cognitive architectures incorporating reflection, meta-learning, and recursive self-improvement capabilities

· Create robust agent alignment mechanisms ensuring autonomous systems maintain goal consistency and value alignment throughout their operation

Requirements

 · Master's degree or higher in Computer Science, AI, or a related field with a focus on autonomous systems

· 5+ years of experience developing autonomous AI systems

· Deep expertise in agentic AI frameworks and cognitive architectures

· Strong background in implementing LLM-based autonomous agents

· Experience with agent memory systems (episodic, semantic, procedural)

· Proven track record of deploying production-grade autonomous agents

· Strong experience with mathematical optimization tools

Technical Skills

• Agentic Development Frameworks:

  - AutoGPT and derivatives

  - LangChain/LlamaIndex for agent construction

  - BabyAGI and task decomposition systems

  - Custom agent frameworks and architectures

• Agent Components

  - Planning and reasoning modules

  - Tool use and API integration

  - Memory systems and knowledge bases

  - Meta-learning and reflection mechanisms

  - Agent communication protocols

• Optimization Tools & Frameworks:

  - Google OR-Tools for constraint programming and optimization

  - Gurobi/CPLEX for mathematical optimization

  - PyMO for mathematical modeling

  - Optuna/Ray Tune for hyperparameter optimization

  - SCIP optimization suite

  - LocalSolver for local search optimization

• ML & Deep Learning:

  - PyTorch/TensorFlow

  - Scikit-learn

  - XGBoost/LightGBM

  - Reinforcement learning frameworks

Core Competencies:

· Deep understanding of agentic AI architectures and design patterns

· Expertise in implementing cognitive architectures for autonomous agents

· Strong knowledge of agent alignment and safety mechanisms

· Experience with multi-agent coordination and communication

· Ability to design scalable and reliable agent systems

Projects You'll Work On:

· Developing autonomous planning agents that can independently handle supply chain optimization

· Developing hybrid systems that combine ML-based agents with classical optimization

· Creating intelligent agents that can formulate and solve optimization problems

· Creating multi-agent systems for collaborative supply chain decision-making

· Implementing agent memory systems for continuous learning and improvement

· Building agent monitoring and control systems for safety and reliability

· Designing agent reflection mechanisms for self-improvement

· Implementing real-time optimization pipelines for supply chain decisions

Benefits Include

· Competitive Compensation

· Flexible PTO

· Flexible work arrangements and continuous learning

Role Responsibilities:

• Design and develop AI Agents and supporting tools, including API-as-a-service solutions.
• Prepare comprehensive documentation for development and deployment processes.
• Contribute to R&D initiatives within the Data Science team, driving innovation and experimentation.

Required Skills & Experience:

• 5+ years of experience with deep learning frameworks such as PyTorch and/or TensorFlow.
• 5+ years of hands-on Python development experience.
• Proven experience with LLMs, RAG pipelines, and AI Agent development.
• Practical knowledge of Amazon SageMaker, Amazon Bedrock, LangChain, LangGraph, LangSmith, LlamaIndex, HuggingFace, and OpenAI tools.
• Experience using AI tools to improve development productivity, code quality, and assist in code reviews.
• Solid understanding of SQL, NoSQL, and vector databases.
• Strong grasp of embedding vectors and semantic search techniques.
• Proficiency with Git (Bitbucket) and Docker.
• English level: Upper-Intermediate (B2+) or higher.

Nice to Have:

• Hands-on experience with SLMs and fine-tuning of LLMs.
• Educational background in Data Science, Computer Science, Applied Mathematics, or related fields.
• AWS certification (e.g., AWS Certified Machine Learning – Specialty).
• Familiarity with TypeSense.
• Experience with speech recognition and speech-to-text ML models.

Team Summary

We are a distributed team that develops motion detection features for both Cloud and Edge environments, ensuring high performance and adaptability for diverse deployment needs. You can choose to focus on either Edge or Cloud solutions. Those interested in Edge will work on advanced computer vision algorithms and sensor-based detection methods to enable efficient real-time performance directly on devices. Those focusing on Cloud will develop scalable, high-performance motion detection solutions using cloud-based technologies, optimizing collaboration between Edge and Cloud for the best results.

You will be responsible for day-to-day research tasks, such as setting up hypotheses, gathering data for experiments, training and validating ML models, validating results, and writing a paper on your results.

Responsibilities and Duties

— Develop innovative machine learning algorithms. Implement advanced methods and technologies in model development

— Analyze large datasets to identify correlations and patterns. Visualize research results for clearer interpretation

— Tune hyperparameters and optimize algorithms. Improve models to enhance their performance and accuracy

— Provide consultations and collaborate with colleagues from other departments

— Report progress and project achievements to management

— Explore and evaluate new technologies in the field of machine learning. Implement cutting-edge ideas and techniques into production processes

— Engage in continuous self-improvement and technical skill development. Train and mentor junior colleagues to enhance the overall competence level within the team

Qualifications and Skills

— 3+ years in machine learning (computer vision domain)

— Practical experience in at least one of the following problems: classification, detection, segmentation

— Python3, NumPy, scikit-learn, pandas, SciPy

— Deep learning frameworks: PyTorch

— Experience in deploying machine learning models to production

— Good understanding of machine learning and deep learning concepts

— Good written and spoken English

Nice to have

— Practical experience with GANs, VAEs

— Probabilistic programming and bayesian framework

— Model optimization: pruning, quantization, knowledge distillation

— Basic understanding of web and client-server architecture

— asyncio, aiohttp, and other async libraries for back-end

— Basic understanding of Big Data, understanding of difference between MapReduce and in-memory processing

— Algorithms, data structures

— SQL, NoSQL

— Docker, Kubernetes, Kubeflow

— C++, Bash

We offer multiple benefits that include

— The environment of equal opportunities, transparent and value-based corporate culture and an individual approach to each team member

— Competitive compensation and perks. Annual performance review

— Gig-contract

— 21 paid vacation days per year, paid public holidays according to the Ukrainian legislation

— Development opportunities like corporate courses, knowledge hubs, and free English classes as well as educational leaves

— Medical insurance is provided from day one. Sick leaves and medical leaves are available

— Remote working mode is available within Ukraine only

— Free meals, fruits, and snacks when working in the office.

Hello!

We are Harmix (www.harmix.ai), a Ukrainian startup creating innovative products for the music industry. Our mission is to transform the approach to music search and analysis using advanced AI technologies.

We seek a Middle ML Engineer specializing in Generative AI to join our innovative team. You'll be at the forefront of developing multimodal AI, Large Language Models (LLMs), and AI Agents.

Key Responsibilities:

• Develop and optimize generative models using Python and PyTorch.
• Implement and refine multimodal AI solutions integrating audio, text, and visual data.
• Design and enhance Large Language Models (LLMs) and AI agents for complex tasks.
• Build robust ML pipelines for training, evaluation, and deployment.
• Collaborate closely with backend, frontend, and DevOps teams to ensure seamless integration of AI models.
• Conduct experiments, analyze results, and continually improve model performance.

• Document research findings, codebases, and model architectures clearly and effectively.

   

What We Expect from the Candidate:

• Solid understanding of Machine Learning fundamentals, including deep learning, NLP, and generative models.
• 3+ years of experience working with Python and PyTorch.
• Practical experience with LLMs (e.g., GPT models, LLaMA), transformer architectures, and AI agents.
• Experience developing and deploying multimodal AI systems.

• Strong analytical and problem-solving skills.

   

What Is a Plus:

• Experience with vector databases and retrieval systems.
• Knowledge of cloud services (AWS, GCP, Azure) and containerization (Docker).
• Understanding of Databricks, CI/CD processes and deployment best practices.

• Contributions to open-source ML/AI projects.

   

What We Offer:

• Remote Contract: 20-40 hours per week.
• Flexible work schedule.
• Collaborative environment with opportunities for professional growth.
• Chance to contribute directly to innovative products shaping the future of the industry.

We are seeking a highly skilled and visionary AI Tech Lead with expertise in Computer Vision and a strong focus on deploying AI solutions on edge devices. The ideal candidate will lead a team of engineers and researchers to design, develop, and implement cutting-edge AI-powered Computer Vision solutions that run efficiently on edge hardware. This role is pivotal in driving innovation and delivering scalable, real-time AI applications for our business and clients.

Key Responsibilities:

• Lead the development and deployment of Computer Vision models tailored for edge devices, ensuring high performance and low latency.
• Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to define requirements and deliver robust AI solutions.
• Research and stay up-to-date with advancements in edge computing, computer vision algorithms, and AI frameworks to ensure our solutions remain cutting-edge.
• Optimize machine learning models for inference on edge devices by leveraging techniques such as quantization, pruning, and knowledge distillation.
• Mentor and guide a team of AI engineers and researchers, fostering a culture of innovation and technical excellence.

• Participate in strategic decision-making to align AI initiatives with business goals and objectives.

   

  Experience:

• Proven experience in computer vision, with a focus on deploying solutions on edge devices.
• Hands-on experience with frameworks such as TensorFlow Lite, ONNX Runtime, PyTorch Mobile, or similar.
• Strong understanding of edge AI hardware (e.g., NVIDIA Jetson, Google Coral, Qualcomm AI Engine) will be a plus

• Expertise in optimizing deep learning models for low power and memory-constrained environments.

   

  Technical Skills:

• Proficiency in programming languages like Python (C++ will be a plus)
• Strong knowledge of Computer Vision techniques, including object detection, image segmentation, and feature extraction.
• Familiarity with tools and technologies for model compression, such as TensorRT, OpenVINO, or CoreML.

• Experience with real-time data processing and streaming on edge devices.

   

  Leadership Skills:

• Demonstrated ability to lead and mentor technical teams.
• Excellent problem-solving and decision-making skills.
• Strong communication skills to convey complex technical concepts to non-technical stakeholders.

With us you will enjoy:

• Working with a team of people to build the future of an industry.
• Non-trivial challenges and various specter of interesting tasks.
• A flexible, friendly and collaborative work environment.
• Corporate culture based on common sense.
• Opportunities to influence the creation of new products and their quality.

Requirements:

• Experience with Transformer models: BERT, RoBERTa, GPT, T5, LLaMA, Mistral, Falcon, etc.
• Strong knowledge of Python; experience with PyTorch, TensorFlow, and Hugging Face Transformers.
• Understanding of modern LLM architectures and fine-tuning techniques: LoRA, PEFT, Instruction Tuning, RAG.
• Experience with NLP tasks: classification, text generation, machine translation, QA systems, etc.
• Familiarity with evaluation metrics: accuracy, F1, BLEU, perplexity, ROUGE, etc.
• Basic knowledge of statistics and classical machine learning.
• Experience with MLflow, DVC, or similar tools.
• Experience with model containerization (Docker).
• Understanding of CI/CD principles in ML projects.
• Skills in model deployment using FastAPI / Flask / TorchServe / Triton.
• Experience with cloud infrastructure (AWS, GCP, Azure, or local cloud providers).

• Bonus: experience with Kubernetes, Airflow, Kubeflow, Ray.

   

Responsibilities:

• Selecting and configuring modern Transformer/LLM models for company-specific tasks.

Fine-tuning, LoRA tuning, model distillation, and quantization.

• Preparing and processing datasets (including augmentation).
• Deploying models to production and automating pipelines (data → training → inference).
• Monitoring model performance in production, retraining, and optimization.
• Collaborating with Data Engineers and DevOps to build the MLOps infrastructure.

• Evaluating model performance using various metrics and analyzing results to identify areas for improvement and optimization.

   

We offer you:

• Having the capability to create something new and witness your own input.
• You can find confidence in the future here, but rest assured it won't be dull. 
• Join a dynamic and expanding community. Our company is experiencing growth and expanding into Europe. Currently, we have offices in Kyiv, and Warsaw and plan to open additional locations in other countries. 
• Full-time employment contract.
• Multisport (light). 
• Paid vacation, sick leave.

Interested in joining our team? We invite you to submit your CV.

<By submitting your CV to LLC “GigaCloud”, EDRPOU code [39792589] (hereinafter referred to as the “Company”), in response to our vacancy, you consent to the processing of your personal data contained in the CV by the Company in accordance with the Law of Ukraine “On Personal Data Protection”, ISO 27701 Information Privacy Management System, and the provisions of the GDPR>.

Your expertise:

• High personal interest and self-development in AI
• Experience with AI agents in Production
• Experience with Data Science activities

Will definitely be a plus:

• Lead personal pet AI projects or participate in AI startups
• High interest and experience in Quantitative Analysis
• High interest and experience in Finance and Economics
• Experience with advanced multi-agent systems
• Experience with Generative AI — complex prompt engineering, RAG, LLM finetuning
• Experience in evaluating the quality of Generative AI and Agentic AI services
• Experience with documenting solution architecture and experiment reports
• Experience with Research & Development projects or scientific research

What’s in it for you?

• Opportunity to deal with top-notch technologies and approaches in a world-leader product company with millions of customers
• Opportunity to make a difference for online privacy, freedom of speech, and net neutrality
• Decent market rate compensation depending on experience and skills
• Developed corporate culture: no micromanagement, culture based on principles of truth, trust, and transparency
• Support of personal and professional development
  • coverage of costs of external trainings, conferences, professional literature
  • support of experienced colleagues
  • in-house events and trainings
  • regular knowledge sharing in teams
  • English classes and speaking clubs
• Life-balance support
  • 25 working days of vacation
  • 5 days of paid sick leave per year without providing a medical certificate (no limitation on sick leaves with medical confirmation)
  • generous maternity leave program
• Professionally strong environment, friendly and open atmosphere, ability to influence the product development and recognition for it

You will be involved into:

• Perform research on Generative AI and Agentic AI solutions
• Develop new AI solutions and participate in the architecture definition
• Support and upgrade current AI solutions used in Production
• Analyze data, design data collection, and assess the quality of the AI services

About the company and project:

ZONE3000 is proud to represent its partnership with Namecheap (www.namecheap.com). Namecheap was founded in 2000 on the idea that all people deserve value-priced domains delivered through stellar service. Today, Namecheap is a leading ICANN-accredited domain name registrar and web hosting company with over 16 million customers and 19 million domains under management — and we’re just getting started.

Our culture is built on the values that we live every day: the way we work, the way we collaborate with our global network of colleagues and the way we relentlessly innovate solutions that meet the emerging needs of our customers.

Namecheap has been on the market for 20+ years and is the 2nd largest domain registry in the world. We are the Namecheap Machine Learning Team.

The team prototypes and develops innovative systems with AI and Machine Learning. At the moment, there are more than 10 Production systems in the areas of Emails, Payments, Customer Service, and Analytics. Some of them have proven quality at the level of global market leaders.

The team provides all the conditions for active professional growth. The culture combines the best from enterprises and startups: a high level of professionalism, truly innovative technologies, friendliness, and stability.

Hi!

We're currently looking for an experienced NLP Engineer to join our AI team at CHI Software.

We’re looking for someone who’s interested in actively contributing to the growth of the department, as well as taking part in our R&D and pre-sales activities.

Our core R&D efforts are focused on areas such as:

• Sensor fusion
• Deepfake technology
• Image generation
• 3D reconstruction

We're open to new ideas that could be explored within the R&D center, and we’d also be happy to involve you in our current projects.

Here’s a general overview of the position, which reflects the kind of projects we typically work on:

Requirements:

• 2–3 years of commercial experience in Natural Language Processing / Machine Learning;
• Proficient in Python, R, and Java, and expertise in libraries and frameworks such as TensorFlow, PyTorch, sci-kit-learn, and Keras;
• Experience with cloud platforms like AWS, Azure, and Google Cloud, and familiarity with big data technologies including Hadoop and Spark;
• Modeling and DevOps experience for Machine Learning;
• Experience with the latest LLM models currently being rolled out in consumer-facing generative AI tools.

• Upper-Intermediate level of English is mandatory;

  
  Certifications obtained (mandatory):

• Azure: AI Fundamentals AI-900 and Azure AI Engineer AI-102;
• GCP: Cloud Digital Leader, Cloud Engineer, Machine Learning Engineer;
• AWS: Cloud Practitioner CLF-C02 and Machine Learning MLS-C01.

There are options for project-based collaboration in a freelance format if you're not planning to leave your current role. We also have full-time opportunities available.

Thank you for your interest! If your profile aligns with the key requirements, we will reach out to you.

Our mission at Geniusee is to help businesses thrive through tech partnership and strengthen the engineering community by sharing knowledge and creating opportunities 🌿Our values are Continuous Growth, Team Synergy, Taking Responsibility, Conscious Openness and Result Driven. We offer a safe, inclusive and productive environment for all team members, and we’re always open to feedback💜
If you want to work from home or work in the city center of Kyiv, great — apply right now.

Requirements:
● 8+ years of experience in software engineering, with a focus on AI/ML systems or distributed systems;
● Hands-on experience building and deploying retrieval-augmented generation (RAG) systems;
● Deep knowledge of OpenSearch, Elasticsearch, or similar search engines;
● Strong coding skills in Python;
● Experience with frameworks like LlamaIndex or LangChain;
● Familiarity with vector databases such as Pinecone, Qdrant, or FAISS;
● Exposure to LLM fine-tuning, semantic search, embeddings, and prompt engineering;
● Previous work on systems handling millions of users or queries per day;
● Familiarity with cloud infrastructure (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes);
● Experience with vector search, embedding pipelines, and dense retrieval techniques;
● Proven ability to optimize inference stacks for latency, reliability, and scalability;
● Excellent problem-solving, analytical, and debugging skills;
● Strong sense of ownership, ability to work independently, and a self-starter mindset in fast-paced environments;
● Passion for building impactful technology aligned with our mission;
● Bachelor’s degree in Computer Science or related field, or equivalent practical experience.

Responsibilities:
● Design, build and scale a production-grade inference stack for RAG-based applications;
● Develop efficient retrieval pipelines using OpenSearch or similar vector databases, with a focus on high recall and response relevance;
● Optimize performance and latency for both real-time and batch queries;
● Identify and address bottlenecks in the inference stack to improve response times and system efficiency;
● Ensure high reliability, observability, and monitoring of deployed systems;
● Collaborate with cross-functional teams to integrate LLMs and retrieval components into user-facing applications;
● Evaluate and integrate modern RAG frameworks and tools to accelerate development;
● Guide architectural decisions, mentor team members, and uphold engineering excellence.

What you will get.
● Competitive salary and good compensation package;
● Exciting, challenging and stable startup projects with a modern stack;
● Corporate English course;
● Ability to practice English and communication skills through permanent interaction with clients from all over the world;
● Professional study compensation, online courses and certifications;
● Career development opportunity, semi-annual and annual salary review process;
● Necessary equipment to perform work tasks;
● VIP medical insurance or sports coverage;
● Informal and friendly atmosphere;
● The ability to focus on your work: a lack of bureaucracy and micromanagement;
● Flexible working hours (start your day between 8:00 and 11:30);
● Team buildings, corporate events;
● Paid vacation (18 working days) and sick leaves;
● Cozy offices in 2 cities ( Kyiv & Lviv ) with electricity and Wi-Fi (Generator & Starlink);
● Compensation for coworking (except for employees from Kyiv and Lviv);
● Corporate lunch + soft skills clubs;
● Unlimited work from home from anywhere in the world (remote);
● Geniusee has its own charity fund.

We are searching for a talented AI Creative Content Specialist to enhance content generation and AI-driven processes across our various projects in our digital ecosystem.
 

Key Requirements:

• Proven experience working with generative AI tools (e.g., ChatGPT, Midjourney, HeyGen, Claude, Copy.ai)
• Strong command of prompt engineering and content generation workflows
• Solid understanding of AI-powered SEO content creation and optimization
• Experience producing AI-generated video content using tools like HeyGen, D-ID, or similar platforms
• Basic knowledge of automation tools and content publication flows (e.g., Zapier, Notion AI)
• Excellent command of English, proficiency in other Western European languages will be considered an advantage
• Highly creative mindset with strong attention to detail and quality
• Basic understanding of visual content standards and graphic tools (Canva, Figma, or equivalents)
• Self-organized, reliable, and able to work independently in a remote environment
• High emotional intelligence

• Familiarity with data visualization or using AI for business analytics will be a plus

   

The selected candidate will be responsible for:

• Producing AI-generated video content and avatars for social media and marketing
• Collaborating with marketing and design teams to ensure consistent brand messaging and tone
• Automating parts of the content pipeline for faster delivery and publication
• Creating and refining prompts to generate high-quality content for SEO articles, blogs, and landing pages
• Optionally assisting with AI-based dashboards or internal data projects

• Keeping up-to-date with the latest tools and features in the AI content space

   

Languages:

The main languages of communication in the company are English, Italian, Russian, and Ukrainian. Since our team has many people from the CIS, we also use Russian for better understanding. We do not cooperate with aggressor countries.

Conditions:

• Remote work, flexible schedule

• Long-term collaboration

   

Benefits of working with us:

• Decent salary with opportunities for review based on performance and willingness to take on additional tasks
• No unnecessary distracting meetings, only the essential ones
• Project diversity ensures horizontal rotation opportunities

• Access to a budget for professional development, including relevant external courses, conferences, and seminars

   

And a few very important things to know about us:

We're a small but successful team of professionals fostering a "family-like" culture. However, this isn't the kind of family that gathers a few times a year to celebrate something. It's a union of individuals bound by common interests and a sense of belonging to a shared mission, a desire to see a magnificent result of joint efforts.

We have a flat company structure, which means that your ideas and suggestions will not go unnoticed by management.

We take a highly responsible approach to the selection of our team members: no matter what position we hire someone for, the main quality we look for is a people-first attitude. That's why in our team you won't meet indifferent bureaucrats, but you will definitely meet like-minded buddies.

Convinced this is the right fit? Apply now and let's make it happen!

We are seeking a talented and experienced AI Engineer with a Data Science background to join our professional services team of 50+ engineers. The position is available full-time, with part-time arrangements possible for the right candidate. This remote-first role focuses on Generative AI development, specifically building and deploying advanced Large Language Models (LLMs) and AI agents. You'll work with state-of-the-art foundation models through platforms like AWS Bedrock and GCP Vertex AI to develop innovative GenAI applications and scalable AI infrastructure for our clients.

Key Responsibilities:

Generative AI Development:

• Design and implement production-ready generative AI applications and AI agents using foundation models and cutting-edge protocols like MCP and A2A
• Fine-tune and optimize LLMs for specific use cases and domains
• Create and maintain prompt engineering strategies and evaluation frameworks
• Design and deploy autonomous AI agents with targeted capabilities

AI/ML Engineering:

• Build end-to-end LLM pipelines for fine-tuning, deployment, and monitoring
• Implement RAG (Retrieval-Augmented Generation) systems
• Create efficient vector storage and embedding solutions

Infrastructure and Operations:

• Build and maintain robust AI infrastructure using AWS and GCP services
• Implement monitoring systems for model performance and infrastructure health
• Optimize cloud resources for cost-efficiency while maintaining performance

Preferred Qualifications:

• 4+ years of experience in AI, machine learning, or data science, with a recent focus on Generative AI
• Strong programming skills and experience with LLM and Agent frameworks (LangChain, CrewAI)
• Expertise in cloud platforms (AWS, GCP) and containerization technologies
• Deep understanding of LLM operations, including prompt engineering and RAG
• Experience with vector databases and semantic search implementations
• Experience building and deploying AI agents using modern frameworks
• Strong analytical and problem-solving abilities

Employment Options:

• Full-time position (40 hours/week)
• Part-time arrangements available for qualified candidates (minimum 20 hours/week)

Benefits:

• Potential career paths include AI Team Lead
• Collaborative remote team environment
• Opportunity to contribute to open-source GenAI initiatives and research publications

Our mission at Geniusee is to help businesses thrive through tech partnership and strengthen the engineering community by sharing knowledge and creating opportunities 🌿Our values are Continuous Growth, Team Synergy, Taking Responsibility, Conscious Openness and Result Driven. We offer a safe, inclusive and productive environment for all team members, and we’re always open to feedback💜 If you want to work from home or work in the city center of Kyiv, great — apply right now.

Requirements.
● 4+ years of hands-on experience in computer vision, with a strong focus on embedded/edge device optimization;
● Deep knowledge of CNN-based object detection and face detection techniques;
● Expertise in model compression, quantization, and acceleration for embedded inference;
● Strong Python and C++ development skills;
● Experience with deployment tools: TensorRT, ONNX Runtime, TFLite, OpenVINO, or CoreML;
● Familiarity with embedded platforms (e.g., NVIDIA Jetson, Qualcomm Snapdragon, Raspberry Pi with Coral Edge TPU);
● Experience in profiling and optimizing models for latency, throughput, and memory efficiency.

What you will do.
● Communication: Lead as part of a scrum team focused on delivering production-ready, optimized computer vision models. Promote clear, respectful, and constructive communication;
● Collaboration: Work closely with machine learning engineers, software developers, and hardware teams to ensure seamless integration of vision models into products;
● Documentation: Maintain high standards for documenting model training processes, optimization techniques, deployment pipelines, and performance benchmarks;
● Continuous improvement: Stay updated on state-of-the-art research in embedded computer vision and edge AI, bringing new ideas and technologies into the development process;
● Planning: Actively participate in sprint planning and provide accurate estimations, particularly for model optimization and deployment tasks.

Model Development and Optimization:
● Design and optimize CNN-based object detection and face detection models;
● Implement advanced model optimization techniques, including pruning, quantization, and knowledge distillation;
● Develop models with a focus on efficient deployment on embedded or edge devices.

 Embedded Deployment:
● Use tools like TensorRT, ONNX Runtime, TFLite, OpenVINO, or CoreML for deployment;
● Work with embedded hardware platforms such as NVIDIA Jetson, Qualcomm Snapdragon,
and Raspberry Pi with Coral Edge TPU.

Performance Profiling:
● Profile models for latency, throughput, and memory efficiency;
● Optimize the inference performance to meet strict resource and timing constraints on target devices.

Development Skills:
● Develop and maintain codebases in Python and C++ to support model integration and deployment pipelines.

What you will get.
● Competitive salary and good compensation package;
● Exciting, challenging and stable startup projects with a modern stack;
● Corporate English course;
● Ability to practice English and communication skills through permanent interaction with clients from all over the world;
● Professional study compensation, online courses and certifications;
● Career development opportunity, semi-annual and annual salary review process;
● Necessary equipment to perform work tasks;
● VIP medical insurance or sports coverage;
● Informal and friendly atmosphere;
● The ability to focus on your work: a lack of bureaucracy and micromanagement;
● Flexible working hours (start your day between 8:00 and 11:30);
● Team buildings, corporate events;
● Paid vacation (18 working days) and sick leaves;
● Cozy offices in 2 cities ( Kyiv & Lviv ) with electricity and Wi-Fi (Generator & Starlink);
● Compensation for coworking (except for employees from Kyiv and Lviv);
● Corporate lunch + soft skills clubs;
●Unlimited work from home from anywhere in the world (remote);
● Geniusee has its own charity fund.

About project

Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses.

We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale.
 

Responsibilities:

• Leadership & Management
• Machine Learning & LLM Expertise
• AWS Cloud Expertise, Bedrock
• Technical Execution
• Team Development & Communication
   

Qualifications:

• Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models);
• Strong expertise in AWS Cloud Services;
• Strong experience in ML/AI, including at least 2 years in a leadership role;
• Hands-on experience with Python, TensorFlow/PyTorch, and model optimization;
• Familiarity with MLOps tools and best practices;
• Excellent problem-solving and decision-making abilities;
• Strong communication skills and the ability to lead cross-functional teams;
• Passion for mentoring and developing engineers.