Jobs

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 Senior AI 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:

• Design, build, and deploy GenAI systems using LLMs for real-world applications, including agentic workflows, RAG pipelines, and orchestration logic.
• Implement multi-step reasoning systems using frameworks like LangChain, LangGraph, Strands Agents, CrewAI, and Bedrock Agents.
• Optimize retrieval pipelines with efficient embedding strategies and vector stores such as OpenSearch, PostgreSQL pgvector, Pinecone, and others.
• Rapidly experiment with and integrate new research and GenAI tooling into scalable prototypes and customer-ready solutions.
• Collaborate with cross-functional teams to ship AI-powered features and assist in aligning AI efforts with business goals.

Requirements:

• 3+ years of experience in AI/ML engineering with a track record of building and shipping production-grade AI systems.
• 5+ years of hands-on experience with Python and deep learning frameworks such as PyTorch and HuggingFace Transformers.
• Experience with orchestration frameworks such as LangChain, LangGraph, Strands Agents, CrewAI, and Bedrock Agents.
• Solid understanding of embedding strategies, retrieval optimization, and semantic search using vector stores.
• Experience with AWS services, including Bedrock, SageMaker, Lambda, and other serverless and container-based deployment approaches.
• Familiarity with MLOps practices, including CI/CD for models, monitoring, and reproducibility in cloud-native environments.
• Strong communication skills and the ability to collaborate across product and engineering teams.
• Fluent written and verbal communication skills in English

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.

The Company (Location: Langenfeld, Germany):

Since 2002, the client has been a market leader in automotive claims management, processing over 18 million vehicle claims annually with a global team of more than 1,000 employees. Operating in over 30 countries, the company specializes in digital solutions that optimize vehicle damage processing for insurance companies, car dealerships, repair shops, leasing firms, and automotive manufacturers. By leveraging automation, advanced technologies, and industry expertise, the client continuously enhances efficiency and accuracy in claims handling. An in-house research and development team drives innovation, tailoring solutions to local market needs while advancing digital transformation in the industry. At the core of this evolution is a strong development team, building scalable, high-performance software solutions that integrate data-driven processes with human expertise to reshape automotive claims management.

Your Role

As a Middle AI Engineer, you will play a key role in shaping the future of digital automotive claims management by developing advanced AI and machine learning models. Working within a diverse and collaborative team of 30 data scientists, you will explore innovative research approaches and build intelligent systems that enhance the accuracy and efficiency of insurance-related processes. You will leverage state-of-the-art techniques in computer vision, large language models (LLMs), and multimodal AI to create impactful solutions tailored to the specific needs of the insurance and automotive industries.

Your responsibilities will include developing foundation models and intelligent systems that are capable of processing complex data inputs, improving claim automation, and supporting digital transformation. This is an opportunity to apply your deep technical expertise in a forward-thinking, international environment where data-driven innovation meets real-world impact.

Key Responsibilities

• Collaborate within a cross-functional team of 30+ data scientists and AI/ML experts to drive research and innovation in the image processing & recognition field
• Develop and deploy cutting-edge machine learning and AI models, including computer vision, LLMs, and multimodal solutions.
• Design and train proprietary foundation models tailored to automotive and insurance industry needs.
• Translate complex technical concepts into scalable digital solutions that enhance claims processing efficiency.
• Continuously evaluate and integrate emerging AI technologies to ensure high performance and accuracy.
• Contribute to the company’s R&D efforts to advance AI innovation and digital transformation.

Tech Stack & Tools

Languages & Frameworks:

• Frontend: ReactJS, TypeScript, JavaScript, Redux, HTML, CSS 
• Backend & Data Science: Python (for data modeling and AI), Java (where applicable for backend services)
• Experience with Docker

Machine Learning / AI

• TensorFlow, PyTorch, Scikit-learn, OpenCV (for computer vision)
• Transformers (HuggingFace), LangChain (for LLM-based applications)
• Custom Foundation Models (insurance-specific)

Testing

• Unit Testing: Jest (frontend), PyTest (backend/data science)
• E2E Testing: Cypress, Selenium
  
   

Testing Methodology: Test-Driven Development (TDD)

CI/CD & Version Control: Git, GitLab CI/CD Pipelines

Data Storage & Management: SQL Server, AWS S3, MongoDB

Cloud & Infrastructure:  on-premise infrastructure, strategic migration to AWS

Collaboration & Communication:

Agile ceremonies (daily stand-ups, retrospectives, sprint planning), Code Reviews, Open Source contributions

What We Expect from You

• Qualifications: Degree in mathematics, computer science, data science, engineering, physics, or a related field.
  
   
• Experience: 3+ years in data science with proven experience in ML, DL, and data analysis using Python.
  
   
• Expertise: Proficient in applying data science methods, building predictive models, and deploying AI solutions.
  
   
• Working Style: Strong analytical mindset, proactive attitude, and ability to communicate complex topics clearly to both technical and non-technical stakeholders.
  
   
• Bonus: Experience within the insurance or automotive industries.
  
   
• Language: Excellent English communication skills (written and verbal); German is a plus.

We offer*:

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

*not applicable for freelancers

About the Project:
We’re looking for a skilled AI/ML Engineer to lead the development of intelligent components for a conversational chatbot and advanced search system. This includes everything from building solid data pipelines to integrating LLMs and optimizing semantic search.

🔧 What You’ll Be Working On:

• Review and analyze existing data sources and schemas.
• Design and implement ETL pipelines for both structured and unstructured data.
• Generate embeddings and manage vector databases (PGVector/PostgreSQL).
• Build and optimize similarity search and ranking algorithms.
• Fine-tune LLM prompts for chatbot interactions and contextual replies.
• Develop logic for user intent detection and dynamic response generation.
• Collaborate with the engineering team on deployment, APIs, and testing.
• Implement feedback loops to continuously improve model performance.
• Ensure role-based access, metadata tracking, and performance tuning.
• Deliver scalable, production-ready AI/ML components.

✅ We’re Looking For Someone Who Has:

• 5+ years of hands-on experience in AI/ML engineering, ideally in production environments.
• Strong Python skills: Pandas, NumPy, FastAPI, Langchain, etc.
• Practical experience working with LLMs (OpenAI, AWS Bedrock) and prompt engineering.
• Deep knowledge of embeddings, semantic search, and NLP techniques.
• Solid background with ETL workflows from diverse sources (APIs, SQL, documents, images).
• Experience working with vector databases — PGVector is a strong plus.
• Familiarity with unstructured data handling and metadata management.
• Hands-on deployment experience in Dockerized environments.
• Understanding of role-based access control and personalization logic.
• Strong communication and team collaboration skills, with the ability to lead technical decisions.
   

💬 If you're excited about building LLM-powered systems and solving real-world search + chatbot challenges — we’d love to talk.

🚀 About the Opportunity

We’re hiring a Senior AI/ML Engineer for a full-time, long-term engagement in the Mobility & Transportation Technology domain. You'll be part of a high-impact team working on distributed, scalable back-end systems that power smarter logistics across aviation, shipping, and railway sectors.

🏢 About the Company

Our client is a trusted outsourcing and outstaffing company with over 8 years of experience in web and mobile development. With 120+ experts across 6 countries, they’ve delivered tailored solutions in healthcare, real estate, e-commerce, fintech, and real-time communications.

They also build their own products, including:

• VidRTC – a WebRTC video conferencing engine
• Apartmii – a real estate rental platform

💼 About the Project

The project focuses on building serverless, event-driven infrastructure for global transportation services. You’ll join a cross-functional team working on distributed backends, micro/macroservices, and forecasting models that optimize supply chains and reduce costs.

👤 Who We’re Looking For

Must-have experience:

• 5+ years of hands-on experience with Python in distributed, serverless environments (preferably on AWS)
• Strong knowledge of AWS tools: Lambda, RDS, ECS, SageMaker Pipelines, Endpoints, Studio
• Solid understanding of microservices architecture
• 2+ years working with SQL or NoSQL databases in performance-critical applications
• Practical experience with time series forecasting (ARIMA, Prophet, XGBoost, DeepAR)
• Strong practice with A/B testing, model tuning, and real-world deployment
• Upper-Intermediate or better English communication skills

Nice-to-have:

• Familiarity with .NET Core

🛠️ What You’ll Be Doing

• Design, build, and maintain scalable serverless systems
• Develop and deploy predictive models and time series analytics pipelines
• Collaborate with other engineers, QAs, POs, and the client’s CTO
• Ensure smooth CI/CD pipelines and high-performance deployment flows
• Follow development best practices, write clean and testable code
• Contribute to high-load backend systems in a fast-moving environment

🎁 What You’ll Get

• Remote full-time work within the EEA
• 21 paid vacation days + 5 sick days per year
• 50% co-funding for courses, conferences, and English classes
• Personalized development plan and mentorship support
• Fast, efficient communication and quick decision-making processes
• Flexible hours, empathetic HR, and volunteering opportunities
• A strong team with a collaborative and growth-focused culture

💬 Interested? Let’s connect — this is a great opportunity to join a future-focused team building real-world ML solutions in a high-demand industry.

WHO WE ARE

Respaid unlocks hidden B2B revenue through AI-powered debt collection, done in a respectful way. 20+ people across US & Europe—incl. 10 UA engineers—ship weekly via Linear, GPT-4 agents & full-stack automation. Backed by Y Combinator plus founders of Dropbox & Docker.

WHY THIS WILL EXCITE YOU

• Ship AI that drives revenue — production impact from day one.
• 99.9% uptime, 10–50× dev velocity — obsession with tooling (Cursor, Claude Code, n8n).
• Small, elite team — zero corporate drag, direct access to CEO/CTO.
• Path to Staff / Lead — out-ship, out-learn, own massive scope.

WHAT YOU'LL TACKLE

• Build end-to-end AI features: data scraping → RAG pipelines → automated system sync.
• Craft idempotent, rate-limit-resilient integrations with CRMs & accounting tools.
• Engineer context-rich AI replies and dynamic recovery orchestration.
• Validate & iterate on AI outputs for production-grade accuracy.
• Contribute light DevOps, CI/CD, SRE for 99.9% uptime.

DAY-TO-DAY OWNERSHIP

• Ship code daily (PHP Laravel & Python FastAPI).
• Pair with AI teammates (Cursor, Claude Code) for 10× throughput.
• Review logs/metrics, squash bugs, automate yourself out of toil.
• Collaborate with leadership on roadmap & architecture.

MUST-HAVE SUPER-POWERS

• Proven experience shipping AI-powered production systems (not research).
• Hands-on with RAG pipelines, large-scale scraping, prompt engineering.
• Strong API integration & automation chops.
• Rapid context switching, self-starter, ownership mindset.
• Upper-Interm. English, clear async communication.

NICE TO HAVE

• Multi-tenant SaaS, deliverability optimization, event analytics.
• IaC, CI/CD, light SRE.

PERKS

• Fully remote; flexible hours (core GMT+2/+3 overlap).
• PTO + national holidays + paid birthday off (and your kids'🎂).
• Private health plan, EN/UA language courses.
• Zero red-tape access to CEO & CTO; path to Staff/Lead for top performers.

HOW TO APPLY

Top 1 % receive a paid 2-hour AI coding challenge.
  Pass → 30-min CEO call → offer.

🚀 Ready to build AI that moves the needle? Hit Apply and share one AI workflow you shipped and its ROI.

This is a fantastic opportunity to join a fast-growing company at the heart of the digital revolution. Our software product is revolutionising manufacturing through automation. We are trusted by global brands and work across sectors (mobility, consumer goods, machinery etc).

We have a talented and ambitious team. We value integrity and are passionate about our mission to revolutionise advanced manufacturing.

This is your opportunity to:

• Be part of a fast-growing software product company in advanced manufacturing.
• Learn and fulfil your potential in an open, knowledge-driven culture.
• Share in our ambitious vision and make a meaningful difference towards autonomous manufacturing.

Responsibilities: 

• Develop, test, and deploy machine learning models and algorithms for various applications. 
• Design and implement end-to-end AI solutions that integrate with existing systems. 
• Collaborate with data scientists, software engineers, and product teams to understand business needs and translate them into technical requirements. 
• Optimize and scale AI models for performance, accuracy, and sustainability. 
• Research emerging AI trends and techniques to continually improve the AI solution offerings. 
• Prepare and maintain documentation on design, code, and processes to ensure organizational knowledge retention. 
• Monitor and evaluate the performance of AI systems in production, identifying areas for improvement or further development.

You will be joining a well-versed team if you have:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, or a related field. 
• Proven experience in developing machine learning models and deploying AI solutions. 
• Strong programming skills in languages such as Python, Java, or C++.
• Proficiency with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn). 
• Experience with data processing frameworks and tools (e.g., Pandas, NumPy) and familiarity with databases (SQL, NoSQL). 
• Solid understanding of deep learning, NLP, computer vision, or other specialized areas within AI is a plus. 
• Experience with cloud platforms (AWS, Google Cloud, Azure) and containerization (Docker, Kubernetes) is beneficial. 
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Good communication skills and the ability to translate complex technical concepts to non-technical stakeholders. 
• Commitment to continuous learning and development in the field of AI and emerging technologies.

We’re opening the position of an AI Expert who can combine deep technical expertise in Artificial Intelligence with excellent communication and leadership skills. As the AI Expert, you will play a pivotal role in project-related, client-facing, and internal initiatives – from supporting pre-sales activities and designing AI solutions for new projects to contributing to projects, developing proof-of-concept prototypes, and driving best practices in AI across the organization. You will work closely with cross-functional teams (Engineers, Data Scientists, Project Managers) to lead the development of AI systems and ensure their successful delivery into production. The ideal candidate is self-motivated and autonomous, able to take ownership of complex projects, and passionate about mentoring others and advancing our company’s AI capabilities to the next level.

Responsibilities:

• Pre-Sales Collaboration: Work with business development and client teams during pre-sales to identify opportunities and expose our expertise. Assist in technical discussions, requirement gathering, and proposal development to craft AI-driven solutions that meet client needs. This includes providing architectural guidance and estimating effort for AI projects in the proposal stage
• AI Solution Design & Project Kickoff: Take the lead in designing AI-based solutions for new projects, focusing on scalable and adaptable architectures. Define project scopes and technical approaches, and set up initial project structure to ensure successful launches. Collaborate with stakeholders to translate business requirements into technical plans and roadmaps.
• Prototype Development: Develop proof-of-concept (POC) models and prototype applications to demonstrate the potential of AI solutions to clients. Use experimentation to validate ideas and showcase how AI/ML techniques (e.g., predictive modeling, computer vision, NLP, generative AI) can solve specific business problems.
• Technical Leadership in Delivery: Provide hands-on technical leadership throughout the AI project lifecycle – from data exploration and model training to evaluation and deployment. Ensure that best practices in model development, validation, and deployment (MLOps) are followed for all projects. Oversee the integration of AI models into production systems, working closely with software engineers to optimize performance and scalability.
• AI Expertise Development: Drive AI knowledge-sharing and expertise across the company. Guide other engineers and data scientists on AI best practices, code quality, and project implementation. Organize and conduct technical talks, workshops, and internal training sessions to foster a culture of continuous learning in AI. Act as the go-to AI subject matter expert within the organization, nurturing a community of practice around Machine Learning and Data Science.
• Leadership & Innovation: Stay up-to-date with the latest trends and advancements in AI/ML (e.g. modern approaches and protocols, frameworks, cloud AI services, etc.). Evaluate emerging technologies such as generative AI techniques (LLMs, RAG, agents) and assess how they can be incorporated into our solutions. Encourage innovation by prototyping with new tools and approaches, and guide the team in exploring new possibilities.
• Quality Assurance: Ensure technical excellence in all AI deliverables. Participate in code and design reviews for AI components to verify they meet the highest quality standards and follow best practices. Troubleshoot and resolve complex technical issues in AI projects, ensuring robustness and reliability of solutions delivered to clients.
• Client Engagement: Act as a key technical expert for clients during project delivery. Communicate complex AI concepts and project progress in clear, non-technical terms to non-technical client stakeholders . Build trust with clients by providing expert advice, managing expectations, and ensuring that the AI solutions delivered truly add value to their business.
• Drive strategic planning, critically evaluate significant business opportunities and risks, and guide the organization through complex decision-making processes that shape long-term success.
• Strategically manage customer relationships, proactively identify long-term partnership opportunities, and ensure customer success by aligning solutions with broader business and strategic objectives.
• Conduct in-depth technical interviews for candidates, assessing their technical skills and fit with organizational objectives.

• Foster a collaborative and innovation-driven team environment, supporting technical excellence and continuous improvement.

  
  Requirements:

• Proven extensive and hands-on experience (approximately 5+ years) in software engineering and machine learning development, including a track record of delivering or architecting AI solutions in real-world projects
• Experience working in a client-facing or consulting environment
• Expert programming skills in Python and extensive experience with machine learning libraries/frameworks such as TensorFlow, Keras, PyTorch, and Scikit-learn for developing AI/ML models
• Solid understanding of software engineering principles (version control, testing, agile development) as applied to AI projects
• Strong foundation in traditional Machine Learning algorithms (e.g., regression, decision trees, clustering) as well as deep learning techniques (neural networks, CNNs/RNNs, etc.)
• Hands-on experience in end-to-end model development: data preprocessing, feature engineering, model training/tuning, and evaluation on real and synthetic datasets
• Experience deploying Machine Learning models into production environments
• Familiarity with containerization and orchestration tools (Docker, Kubernetes) for scalable deployment of ML services
• Experience with cloud platforms (Azure preferred; AWS or Google Cloud also acceptable) for model deployment and scaling of AI solutions
• Proficiency in MLOps practices and tools to streamline the ML lifecycle from development to production (this includes using continuous integration/continuous deployment (CI/CD) pipelines for ML, model versioning, monitoring, and automated testing)
• Familiarity with tools like MLflow, Kubeflow, or Azure ML for managing experiments and deployments
• Experience with implementing AI security/guardrails and cost optimization of AI systems
• Experience with Generative AI technologies, Agentic AI, and modern AI paradigms – for example, working with large language models (LLMs) and implementing Retrieval-Augmented Generation (RAG) pipelines for enhanced information retrieval
• Knowledge and experience of LLM fine-tuning for improving AI system performance
• Knowledge of building AI-driven agents (conversational or autonomous agents that utilize LLMs) and familiarity with relevant frameworks (LangChain, LangGraph, LLamaIndex, and others)
• Excellent communication skills to be able to explain complex AI concepts in clear terms and tailor the message to different audiences (Developers, business stakeholders, Clients)
• Strong presentation and writing skills to conduct tech talks, produce documentation, and contribute to proposals
• Demonstrated leadership in mentoring teams or influencing cross-functional groups
• Ability to work autonomously and self-direct in a fast-paced environment
• A proactive mindset with strong problem-solving abilities, critical thinking, and creativity in designing innovative AI solutions
• Ability to take initiative with minimal supervision, managing projects from concept to completion while meeting high-quality standards
• A Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field
• English level – Upper-Intermediate or higher

Will be a plus:

• Experience working in a client-facing or consulting environment
• Experience in Computer Vision (e.g., image processing, object detection, OpenCV or relevant deep learning models), Natural Language Processing (e.g. speech recognition, text classification, text-to-SQL), Reinforcement learning, and multimodal AI architectures
• Experience with deploying on-premises LLMs
• Experience building agentic solutions with low-code platforms
• Experience implementing Knowledge Graphs

We offer:

• Remote-first work model with flexible working hours (we provide all equipment)
• Comfortable and fully equipped offices in Lviv and Rzeszów
• Competitive compensation with regular performance reviews
• 18 paid vacation days per year + all state holidays
• 12 days of paid sick leave per year without a medical certificate + extra paid leave for blood donation
• Medical insurance with an affordable family coverage option
• Mental health program which includes free and confidential consultations with a psychologist
• English, German, and Polish language courses
• Corporate subscription to learning platforms, regular meetups and webinars
• Friendly team that values accountability, innovation, teamwork, and customer satisfaction
• Inclusive environment where everyone feels valued and treated equally. We proudly partner with VeteranHub to support Ukrainian veterans
• We are committed to supporting Ukraine and actively participate in charity initiatives

We are looking for a Senior AI/ML to join our client, outsourcing/outstaffing company with more than 8 years of experience in web and mobile application development with a team of more than 120 specialists from 6 countries.

Project domain: Mobility & Transportation Technology

The project is focused on developing technological solutions for the mobility industry, covering aviation, shipping, and railway transportation. The company leverages modern software and hardware technologies to optimize vehicle management, enhance the efficiency of logistics processes, and improve the user experience.

We expect

• Minimum of 5 years of hands-on experience with Python and related technologies in distributed serverless environments (ideally AWS).
• Solid understanding and practical experience with microservice architecture.
• At least 2 years of experience programming high-performance processes in SQL and/or NoSQL databases.
• Experience  with AWS SageMaker or similar and have:

– deployed scalable ML workloads using SageMaker, RDS, Lambda, and ECS.

– experience with SageMaker Pipelines, Endpoints, and Studio for managing automated workflows and real-time inferencing with the data warehouse.

• You have hands on experience in Time Series Forecasting using one of the following – ARIMA, Prophet, XGBoost, DeepAR.
•  Predictive Analytics: you have built and fine-tuned predictive models for time series tasks such as next-week sales forecasts, handling issues like over/under-prediction on a continuous basis. AB testing on a continuous basis.
• Upper-Intermediate English level.

Nice to have

• Proficiency in .NET Core will be an advantage.

Responsibilities

• To build highly distributed serverless systems.
• Time Series Forecasting and Predictive Analytics: to build and fine-tune predictive models for time series tasks such as next-week sales forecasts, handling issues like over/under-prediction on a continuous basis. AB testing on a continuous basis.
• Building new highly distributed micro & macro-service backend applications for use in the airline industry.
• Working with an existing team of expert engineers & others using technologies such as
• .net core, SQL, AWS lambda, code pipeline CI/CD.
• Implement and maintain continuous integration and continuous deployment procedures to ensure efficient and reliable software delivery.
• Utilize your expertise to build scalable applications that meet performance and reliability requirements.
• Work as a team player, demonstrating a highly motivated, can-do approach to achieve project goals.
• Apply your experience to thrive in a large-scale environment, addressing challenges with efficiency and adaptability.
• Demonstrate experience in writing unit tests to ensure the reliability and maintainability of the codebase.

We offer

  Social package and other bonuses:

• Stable and highly-functioning processes – everyone has their own role and clear responsibilities, so decisions are made quickly and without unnecessary approvals.
• We will be happy to pay 50% of the cost of courses/conferences/speaking clubs.
• Do you have a friend who is currently looking for new job opportunities? Recommend them to us and get a bonus.
• The company promotes growth and encourages initiatives.
• A modern stack of technologies, the opportunity to work at a high load, modern equipment, with constant improvements at the request of employees.
• Top management, open to communication with teams.

A little more information that you may find useful:

• our adaptation period lasts 3 months, this period of time is enough for us to understand each other better;
• there is a performance review after each year of our collaboration where we use a skills map to track your growth;
• we really have no boundaries in the truest sense of the word – we have flexible working day, remote or office is up to you.

  Vacation and sick leave

• 21 working days off a year;
• 5 sick leaves a year.

 What are the stages of selection:

• HR, Client Tech interview, Client Final.

Remote | Full-time | Flexible working hours (aligned with Kyiv/European time zone) 

About Revenue Grid 

At Revenue Grid, we’re building more than a platform – we’re redefining how AI transforms sales. As an AI-first company, we create intelligent systems that eliminate revenue leaks and drive smart automation across the entire pipeline. 

Our shift to AI-first isn’t just about the product – it’s about people. We believe the future belongs to teams that can seamlessly combine human judgment and artificial intelligence. That’s why we’re growing our AI Engineering unit, and we need someone who can bridge strategy, insight, and execution. 

About the Role 

We’re looking for an AI Operations Analyst (Team Manager) to join our growing AI Engineering team. In this role, you’ll be at the core of how AI models are monitored, evaluated, and improved – ensuring our systems are not only accurate but continuously evolving. 

This role is perfect for someone who’s part analyst, part strategist, and part team leader – someone who thrives on structure, insight, and the opportunity to shape real-world AI performance. 

What You’ll Do 

• Own the operational lifecycle of AI models from evaluation to performance monitoring 
• Manage a small team of analysts supporting AI research and delivery 
• Analyze data and model output to identify inefficiencies, edge cases, and optimization opportunities 
• Build dashboards, reports, and frameworks to visualize model impact and performance 
• Partner with AI Engineers and Product Owners to scale through intelligent automation 
• Champion ethical, interpretable AI practices and continuous improvement 

What We’re Looking For 

• 3+ years of experience in data analysis, AI operations, or similar analytical roles 
• Experience managing a team or mentoring junior analysts 
• Solid understanding of AI/ML workflows, evaluation metrics, and model lifecycle 
• Strong SQL, Python (Pandas), and data visualization (Tableau, Power BI, or similar) 
• Product mindset – you connect technical details with business outcomes 
• Curious about AI – you stay up to date and actively explore AI tools 
• Fluent English (written & spoken) – you’ll collaborate across global teams 
• Flexible working hours – we work in the Kyiv/European time zone, but remain open to other regions 

What We Offer 

• Remote-first culture – work from anywhere 
• Smart, autonomous team that values openness and deep work 
• Opportunity to grow inside a fast-evolving AI-first product company 
• Unlimited vacation – because we trust results, not timecards 
• Transparent, fast hiring process with actionable feedback 
• A mission-driven culture where your work has visible impact 

Join Us 

We’re not looking for just another analyst – we’re looking for someone who’s ready to own a piece of our AI transformation. If this sounds like your next move, reach out – we’d love to hear your story. 

We are looking for an exceptional engineer to help shape the future of intelligent video and audio analysis through artificial intelligence. The ideal candidate will have strong expertise in computer vision, video and/or audio processing, and hands-on experience building and optimizing systems for understanding multimedia streams. As one of our early engineers, you will play a key role in developing our core technology and shaping the technical direction of our products.

Main responsibilities
- Develop scalable pipelines for processing and inferencing video and audio data on cloud platforms and edge devices;
- Architecture, development and optimization of models for video/audio analysis, search and contextual understanding;
- Work closely with the founding team to define product strategy and technical roadmap;
- Drive innovation in approaches to data collection, augmentation, data markup, and model training.

Required qualifications
- High level of proficiency in Python and/or C++;
- Knowledge of ONNX, OpenVINO, TorchScript or TensorRT for model optimization and efficient inference;
- Experience with cloud platforms (AWS, GCP or Azure) for large-scale data processing and model training;
- Understanding of video and audio codecs, streaming protocols, and related technologies;
- Hands-on experience with modern large language models (LLMs) such as LLaMA, Gemma, Mistral or similar, and skills in deploying and running such models via local runners such as Ollama, LM Studio and Docker containers.
 

Preferred Qualifications:
- Knowledge of model optimization and efficient inference tools (ONNX, OpenVINO, TorchScript, TensorRT);
- Experience using cloud platforms (AWS, GCP or Azure) for large-scale data processing and model training;
- Understanding of video and audio codecs, streaming protocols and related technologies;
- Experience with distributed computing frameworks for processing large amounts of data;
- Understanding of MLOps principles and model deployment strategies

We offer our employees:

• Professional development in a stable and transparent organization;
• Many opportunities for development (trainings, corporate training portal, exchange of experience with colleagues);
• Work in a company with a strong corporate culture, a close-knit team, open communications, and well-established business processes;
• Mixed work format - the ability to work both in the office and remotely

Role Overview:
Our partner (headquartered in US, New York, NY) is looking for an innovative agent focused engineer to expand product agent back‑end so new automations can be shipped every week.

Responsibilities:

• Design and implement multi-agent orchestration systems, managing agent interactions, control transfers, and task coordination across specialized agents (planner, email analyzer, search, etc.)
• Develop and maintain agent configuration management systems including dynamic Firestore-based configurations, tool assignments, model selection, and prompt engineering for optimal agent performance
• Build and integrate custom tools and workflows for calendar management, memory systems, UI interactions, and email processing pipelines using sequential agent workflows
• Implement and optimize memory and context management including session handling, persistent user memory (Mem0 experience is a plus), and ensuring agents maintain relevant historical context
• Manage real-time agent communication systems including WebSocket connections, multi-modality support (text/audio/image), and background task processing for seamless user experiences
• Write evals and unit tests to ensure consistency 

Qualifications:

• Expert Python development with strong async/await programming patterns, FastAPI integration, experience with Google ADK (Agent Development Kit) framework or equivalent like LangChain, Crew or similar
• Deep understanding of LLM integration and prompt engineering, specifically with Gemini models, including model selection, response optimization, and token management
• Experience with cloud-native architectures including Firestore for configuration management, Google Cloud services integration, and microservices communication patterns
• Proficiency in building and maintaining tool ecosystems including calendar APIs, memory systems, search integrations, and custom function development for agent capabilities
• Strong background in AI/ML workflows including sequential processing, agent orchestration, error handling, performance optimization, and end-to-end testing of AI systems

About Corvex

Corvex delivers unparalleled cloud-based AI infrastructure, featuring cutting-edge NVIDIA GPUs that combine exceptional reliability, security, performance, and value. We're ready to build a world-class experience for developers and data scientists across enterprise and AI-native organizations that will enable professionals to focus exclusively on training, fine-tuning, and inference of their AI models, while we manage the nuts and bolts of our premium infrastructure.

Position Description

We’re looking for a performance-obsessed AI researcher to join our team. Your mission is to turn whitepapers, profiling traces, and raw intuition into working optimizations that make real workloads faster. You’ll work across compiler frameworks, GPU kernels, graph IRs, memory strategies, and quantization techniques - with the freedom to test hypotheses quickly and the responsibility to ship production-worthy gains.

This is a research role with an emphasis on delivering production-quality code. You’ll sit at the boundary between compiler experimentation and systems engineering, helping make Ignite one of the fastest inference engines in the world.

What You’ll Do

• Profile and optimize transformer-based inference pipelines
• Research and experiment with graph-level and kernel-level optimizations
• Design experiments, measure speedups, and continuously shave off latency across varying batch sizes, sequence lengths, and architectures
• Collaborate closely with the engineering teams to ensure results translate into real-world improvements
• Stay ahead of the optimization literature - and bring in ideas before they’re stale

What We’re Looking For

• Strong programming experience in C++ and Cuda
• Hands-on experience with performance profiling and tuning
• Existing understanding or interest in learning GPU architecture
• Comfort working with compiler toolchains and intermediate representations 
• Curiosity and intensity - you enjoy tuning workloads at breakneck speed, not just shipping the baseline
• Bonus: experience with quantization-aware training, kernel autotuning, or specialized LLM serving runtimes

What We Offer

• Competitive salary
• A chance to help define a new category of AI infrastructure
• Greenfield architecture - build the product you’ve always wanted to use
• High trust and autonomy, with deep impact on platform direction
• Remote-first culture with the option to collaborate in person as we scale
• Small, highly skilled team and zero bureaucracy

Location: Remote (EU-friendly hours) · Type: Full-time

About us

We’re building an AI copilot for retail crypto investors and traders. The product answers questions, runs research, and proposes next action. We care about clear, useful outputs and fast iteration more than fancy theory.

The role

Own how the model gets from a user request to a trustworthy answer: route the intent, decide what data to fetch, keep prompts tidy, and return structured results the app can use. You’ll collaborate with product to ship small, frequent improvements.

What you’ll do

• Design and refine LLM workflows.
• Collaborate with the team to align AI workflows with intended UX.
  
   
• Write and maintain prompts and schemas.
  
   
• Make the model decide well (timeframes, windows, what data it needs, when to re-use cached results).
  
   
• Build few-shot scenarios so the model can propose actions safely.
  
   
• Reduce token/cost/latency by slimming context and reusing recent results.
  
   
• Set up simple quality checks.
  
   

You might be a fit if you have

• Experience working on at least 1–2 LLM pipelines end-to-end (from planning to integration and iteration).
  
   
• Solid Python or TypeScript skills to glue things together and ship small services or scripts.
  
   
• A basic understanding of markets, investing, and crypto, and curiosity to learn more.
  
   
• Product sense: you like making answers clearer, safer, and cheaper over time.
  
   

Nice to have

• Advanced Python experience in backend / ML / data work.
  
   
• Deep understanding of markets, trading/crypto, and finance theory.
  
   
• Experience integrating external data sources (market data, news, on-chain) and shaping simple evaluation sets.

# agent.maker - last mile automation

## employer
osnova, ai agency from germany 

we're building a new internal product to spin it off as a separate company. 

join the ride! 

## challenge
having built over 20 ai products for our customers, we see that they face the same challenge - current automation products work for general use cases in demos, but fail at the last mile of automation, to adapt to the logic and workflow of the specific user. this is startup building, so one of the key requirements is speed, flexibility, and readiness to act fast and change course.

## product
develop an ai agent-based system called "agent.maker" that can create specialized ai agents for various business processes, automating up to 80% of manual work and increasing productivity by a factor of 4. repository exists, several workflows are running with customers, but it needs to be built out and productized.

## key components
- core application framework with configuration system and api endpoints
- llm connectors and data flow development for efficient processing
- agent generation system for creating specialized ai agents
- metalearning and self-optimization capabilities
- user interface for internal use

## role: ai agent developer
- experience: ai agents, reasoning models, prompt engineering, process automation
- tasks:
   - develop the blueprint interpreter for flexible adaptation to different consulting scenarios
   - create or adapt prompt sequence templates based on osnova experiences
   - implement the agent generator
   - create specialized agents (research assistant, requirements specification agent, etc.)
   - implement metaprompting self-improvement mechanisms for agents
   - ensure robustness and error handling in agent operations
- languages: python
- libraries: agent frameworks like google adk, openai api, anthropic api
- seniority: senior

We are Performa, an HR agency, and we're excited to find a top-notch professional for one of our clients. We're currently seeking an experienced AI Lead / AI Engineer.

Our client is an international product-based IT company specializing in the iGaming industry. Born in 2014, they rocked the CIS region, and now take the success to the world. The company actively integrates cutting-edge technologies, including artificial intelligence, into internal workflows and proprietary products. Their goal is to optimize, reduce costs, and accelerate
business processes. Due to rapid growth and the need for a more systematic approach to leveraging AI tools, we are looking for a strong technical expert to join the team as an AI Tech Lead / AI Engineer.

📚 Your qualifications:
• 5+ years of total experience on relevant positions (AI Engineer, AI Tech Lead, ML Engineer, Data Scientist, etc).
• Strong knowledge of modern AI technologies, especially generative models (e.g., GPT, Qwen, etc.).
• Experience integrating AI models and automating workflows with tools like n8n.
• Understanding of scalable and fault-tolerant architecture design principles.
• Self-starter with strong decision-making and execution skills.

➕ Nice to have:
• Proficiency in Python and Go programming languages.
• Experience leading small teams or managing projects.

📋 Key responsibilities and your contribution: 
• Identify and implement AI-based automation and optimization opportunities across the company.
• Select, configure, and integrate modern AI tools (e.g., GPT, Qwen 2.5, etc.) into existing products and workflows.
• Design and build automation pipelines using tools like n8n and other orchestration platforms.
• Develop scalable AI architecture and integrate it into the current infrastructure.
• Evaluate and improve the quality and performance of deployed AI solutions.
• Prepare the company-wide AI development strategy and roadmap.
• Initiate new AI projects, justify their value, and lead their execution.
• In the long term — build and manage an in-house AI team.

Benefits: 
⭐ Days of recovery: 20 paid vacation days per year, paid sick leaves, public holidays off.
⭐ Health: medical insurance, check-ups, gym and mental health services.
⭐ Education: language courses, internal/external trainings, service subscriptions.
⭐ Compensation: corporate equipment you’ll need for success, work remotely or from one of our offices in Europe.
⭐ Work Environment: additional benefits that can be used according to company policy, e.g. paid business trips, free office dinners, holiday bonuses, gifts, team events.