Jobs ML / AI

ABOUT THE ROLE

We are looking for an AI Specialist to support and scale AI workloads within our cloud-native infrastructure and contribute to the development of De Novo AI STUDIO. This role combines hands-on infrastructure work, performance optimization and in-house AI-platform development.

This position offers significant growth potential for professionals who want to deepen their expertise in AI infrastructure, cloud technologies and product development while making a direct impact on the evolution of our AI ecosystem of Ukraine.

WHAT YOU WILL DO

Model lifecycle management: 

• maintain and scale deployment of inference environments on production-grade infrastructure;
• implement quantization strategies;
• optimize and manage inference engines and frameworks for high-performance deployment;
• engineer performance optimization, including minimizing latency, maximizing throughput on specific vGPU backends.

De Novo AI STUDIO:

• technical platform evangelism;
• prioritize self-hosting and data privacy;
• translate 'GPU-hours' and 'token latency' into business ROI for non-technical stakeholders;
• prototype, build and demonstrate proof-of-concept AI agents in AI STUDIO;
• contribute to the core components and internal tooling development of AI STUDIO;
• agentic frameworks: build autonomous agents and RAG pipelines;
• incident support.

AI workloads in cloud native infrastructure:

• virtualization administration: manage multi-vDC cloud native environments with resource allocation;
• configure and troubleshoot complex multi-tenant cloud networking and edge gateway connectivity;
• configure multi-instance resources for multi-tenant efficiency.

TECHNICAL SKILLS & QUALIFICATIONS

Systems and automation:

• advanced Linux and scripting;
• infrastructure as code;
• containerization and orchestration.

Network:

• Software-defined networking.

Preferred Qualifications

• Experience with the NVIDIA ecosystem;
• Familiarity with DevOps practices and tools.

Soft skills and communication:

• Professional English proficiency, particularly in written communication and technical documentation (B2/С1);
• consultative approach.

WE OFFER

• Official employment under the Labor Code of Ukraine with fully declared salary.
• Health insurance is provided after the trial period.
• Business travel expense reimbursement and corporate mobile service.
• Modern, well-equipped office designed for comfort and productivity.
• A well-developed corporate culture and activities to balance work and leisure: Sweet Fridays, gym visits, an English-speaking club with a native speaker and other initiatives.
• A professional and friendly team, open to collaboration and sharing expertise.
• Ongoing professional development: in-house training, mentoring, and support for your goals

We welcome applications from candidates who meet at least 80% of the requirements.

Salary is discussed individually based on interview results. Please include your salary expectations in your CV.

We understand the importance of protecting your personal data and would like to draw your attention to the fact that your application for the specified position constitutes your voluntary consent to the processing of your personal data by DE NOVO LLC, as specified in your resume and any additional information necessary for DE NOVO LLC to receive your application for the specified vacancy for the purpose of searching for a candidate to fill the vacant position.

An AI consulting group that builds serious, production-grade systems for companies ready to operationalize artificial intelligence across their business. We do not build gimmicks. The main focus is on custom AI solutions that integrate directly into operations and drive measurable results. 

 

We’re looking for a Senior AI Engineer for one of our clients. This is a hands-on role for someone who doesn’t just experiment with AI, but has built, deployed, and optimized real AI systems in complex, production environments.

 

This role is for someone who takes full ownership of AI systems — from architecture to performance. You’ll work at the intersection of LLMs, distributed data processing, and backend systems, building scalable AI pipelines and knowledge systems in a high-impact environment where performance, reliability, and flexibility (including airgapped deployments) matter.

 

Your responsibilities will include:

• Design and build distributed data pipelines (Apache Beam, Python) for large-scale document and model processing;
• Implement horizontally scalable LLM-powered extraction workflows across thousands of entities;
• Build runner-agnostic pipelines that run across multiple environments (local, cloud, on-prem);
• Design and implement entity resolution and cross-referencing systems with confidence scoring;
  Architect and build graph-based Knowledge Bases (Dgraph or similar), including schema design and query optimization;
• Develop pluggable LLM extractor frameworks (classification, relationships, completeness, document linking);
• Build abstraction layers for LLM providers (Anthropic Claude, Google Gemini, local models via Ollama/vLLM);
• Optimize LLM usage for cost, latency, and reliability in production environments;
• Design and implement backend service layers (Go-based APIs) connecting AI pipelines with agent systems;
• Ensure observability, debugging, and performance monitoring across distributed AI systems;
• Package and deploy systems using Docker (docker-compose, containerized environments);
• Collaborate directly with client teams on integrations, validation, and production rollout.
  
   

What we expect from you:

• 5–8+ years of experience in AI Engineering, Data Engineering, or Applied ML Infrastructure;
• Expert-level Python;
• Strong experience with distributed processing frameworks (Apache Beam preferred; Spark/Flink acceptable);
• Hands-on experience integrating LLMs in production (prompting, orchestration, provider abstraction);
• Experience with graph databases (Dgraph, Neo4j, JanusGraph, or similar);
• Strong understanding of distributed systems, parallel processing, and large-scale data pipelines;
• Solid SQL and data modeling fundamentals;
• Experience with Docker and containerized deployments;
• Experience with cloud platforms (GCP preferred, AWS/Azure acceptable);
• Strong backend/system design mindset (performance, scalability, reliability);
• Ability to work independently and take ownership without micromanagement;
• Strong problem-solving skills in complex, ambiguous environments;
• English level: B2+ (C1 preferred);
• Availability to overlap with US business hours.
  
   

Nice to have:

• Working experience with Go (for API/service layer contributions);
• Experience with local LLM inference (Ollama, vLLM, TensorRT-LLM);
• Experience deploying systems in airgapped or restricted environments;
• Background in defense, aerospace, or complex enterprise systems;
• Familiarity with MBSE / SysML tooling and model-based data (XMI, Cameo, etc.);
• Experience with document parsing pipelines (Docling, Unstructured, etc.);
• Experience with orchestration tools (Airflow, Dagster, Prefect).
  
   

We offer:

• Four-month full-time contract engagement;
• Remote work with overlap in US business hours;
• High-impact project with direct influence on production AI systems;
• Close collaboration with client’s product and engineering teams;
• Opportunity to build core infrastructure for real-world AI applications — not prototypes.

N-iX is looking for a Senior QA Automation Engineer to lead the validation and verification strategies for EDGE Group’s AI transformation. You will be responsible for defining "what good looks like" for non-deterministic AI systems, ensuring that Large Language Models (LLMs) and predictive engines meet the strict reliability standards of the defense sector.

Qualifications

• 5+ years in QA Automation
• Experience testing data-driven systems, AI, or ML models
• Strong analytical skills for defining test criteria in non-deterministic systems
• Ability to collaborate with engineers, data scientists, and product teams
• Experience in regulated industries (defense, aerospace) will be a plus
• English level - at least Upper-Intermediate

Technical Requirements

• Strong experience in Python and test automation frameworks (Pytest, Selenium/Playwright, API testing)
• Experience with performance testing tools (JMeter, Locust, K6)
• Familiarity with LLM evaluation tools (e.g., DeepEval, TruLens)
• Knowledge of SQL and data validation tools
• Experience with CI/CD pipelines (GitLab) and version control (Git)
• Exposure to test reporting tools (Allure, TestRail)

Key Responsibilities

1. AI & LLM Testing

• Build automated tests to evaluate AI outputs for accuracy, consistency, and reliability
• Validate Retrieval-Augmented Generation (RAG) systems using metrics like relevance and correctness
• Create regression tests to detect changes in AI behavior (prompt drift)

2. System & Integration Testing

• Test integrations between AI systems and enterprise platforms (e.g., SAP)
• Perform API testing, including security and access control validation
• Design performance tests for latency, scalability, and system throughput

3. Quality & Governance

• Align test cases with system requirements and user needs
• Support release readiness through structured testing reviews
• Track and manage defects, ensuring traceability to data, models, or requirements

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

SBC Performance drives scalable growth for brands ready to expand globally.

Working across eCommerce, health & wellness, education, and entertainment, our team helps brands acquire customers faster and scale across 26+ global markets.

We combine data-driven paid media, performance creative, and advanced analytics to turn marketing into a predictable revenue engine.
Direct partnerships with Meta, TikTok, Google, Bing, and Snapchat give you priority access to premium ad infrastructure.

Scale faster. Grow smarter.

We are looking for a Machine Learning Engineer to join our team and help us work with large-scale marketing and product data.

In this role, you will focus on analyzing data, building machine learning models, and generating insights that improve business processes and decision-making. You will also contribute to projects related to marketing performance and creative analysis, including video and computer vision tasks.

Responsibilities

• Analyze large-scale marketing and product datasets
• Build, test, and improve machine learning models
• Perform data preprocessing, feature engineering, and validation
• Develop data-driven hypotheses and support business decision-making
• Work on projects related to marketing performance and creative analysis
• Collaborate with analytics, product, and engineering teams 

Requirements

• 3+ years of experience in Machine Learning, Data Science, or similar roles
• Strong Python skills
• Experience with at least one of the following frameworks: PyTorch, TensorFlow, or scikit-learn
• Solid understanding of machine learning fundamentals, statistics, and data analysis
• Experience working with real-world datasets
• Good SQL skills
• English level B1+ (ability to read technical documentation and research materials)

Nice to have

• Experience working with marketing or advertising data
• Experience with video or image data, including computer vision tasks
• Experience with LLM or GenAI-related tasks
• Participation in Kaggle or similar competitions
• Basic understanding of MLOps or model deployment
• Experience with cloud platforms such as AWS, GCP, or Azure

What We Offer

• On-site / hybrid work format in our Prague office
• Competitive compensation
• Flexible working hours: we start our operation day between 9:00 — 11:00 CET
• All necessary equipment
• Paid vacation and sick leave
• Company events and multiple internal activities
• Open feedback and transparent, direct communication

Kindly review our company policies and GDPR compliance by following the link below :

sbc-performance.com/...​-privacy-for-recruitment

We are looking for a Middle AI/ML Engineer to develop and enhance AI-driven solutions within the Palantir Foundry and AIP ecosystem.

In this role, you will focus on building and iterating on machine learning and LLM-based solutions, integrating them into Foundry workflows to support analytics, automation, and decision-making. You will collaborate closely with data engineers, business analysts, and domain experts to deliver practical, production-ready AI solutions.

Key Responsibilities:

• Develop and enhance machine learning and AI models to support predictive analytics, classification, forecasting, and AI-assisted workflows.
• Build AI and ML solutions within Palantir Foundry, using Python and existing Foundry pipelines, Ontology objects, and workflows.
• Apply LLMs and NLP techniques (e.g. prompt engineering, fine-tuning, embeddings, retrieval-augmented workflows) using Palantir AIP for enterprise use cases.
• Collaborate with data engineers to understand data sources, ensure data quality, and prepare datasets for model training and inference.
• Conduct experiments, evaluate model performance, and iterate on features and model approaches.
• Integrate AI models into Foundry workflows to surface insights and support business processes.
• Support model deployment and monitoring by following established team standards and best practices.
• Work closely with business and domain stakeholders to translate requirements into practical AI-driven solutions.
• Document model behavior, assumptions, and limitations to support transparency and compliance.
• Stay up to date with applied AI and GenAI trends and contribute ideas under guidance from senior team members.

Requirements:

• 3+ years of experience in machine learning, AI engineering, or applied data science.
• Strong Python skills; experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Hands-on experience with LLMs, NLP, or GenAI use cases (e.g. prompt design, embeddings, text classification, summarization).
• Practical understanding of the ML lifecycle: data preparation, feature engineering, model training, evaluation, and iteration.
• Experience working with structured data (tabular, time series); exposure to text or unstructured data is a plus.
• Familiarity with enterprise data environments and collaborative development workflows.
• Ability to clearly explain model results and AI behavior to non-technical stakeholders.
• Upper-Intermediate English or higher.

Nice to have: 

• Proficiency in Foundry Ontology, Object Builders, and Code Repositories.
• Experience in big pharma or highly regulated industries.
• Knowledge of data privacy, compliance, and security best practices in AI applications.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).

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

We’re building an intelligent AI agent that doesn’t just answer questions, but reasons, retrieves, understands context, and acts across documents, SQL data, and visual inputs.

If you're excited by rapid experimentation, real users, and pushing LLMs beyond chat - this role is for you.

     What You'll Do

• Design and implement an intelligent chatbot/agent capable of reasoning over documents, structured SQL data, and multimodal inputs
• Fine-tune or integrate LLMs (OpenAI, Ollama, Deepseek, etc.) for contextual Q&A
• Develop text analytics pipelines (sentiment analysis, classification, topic modeling)
• Design image processing systems for tagging, feature extraction
• Experiment rapidly with new ideas, validate hypotheses
• Support and work with Hadoop clusters for big data processing.
  
  What We're Looking For
• 2+ years of experience as ML/AI engineering or in a similar role
• Bachelor’s degree in Computer Science, or a related field
• Strong proficiency in Python, and solid experience with ML frameworks
• Deep understanding of NLP and CV fundamentals
• Hands-on experience with AI/ML projects deployed in production
• Experience integrating LLMs, retrieval pipelines in multi-step reasoning agents
• Practical experience in text/image processing
  
  Nice to Have
• Knowledge of OCR, captioning
• Experience with prompt engineering
• Experience in predictive modeling

You will work on scalable AI solutions, developer-focused tools, workflow automation, and AI capabilities that improve engineering productivity and deliver real business value for clients.

Responsibilities:

— Design, build, and deploy LLM-based applications and agentic AI systems from prototype to production.

— Develop production-grade AI agents, multi-agent systems, and tool-using workflows.

— Implement RAG pipelines over proprietary and third-party data sources.

— Build and maintain vector databases for AI data storage, retrieval, and search.

— Design and implement AI-powered capabilities such as code assistance, documentation generation, test automation, summarization, knowledge discovery, and code review support.

— Evaluate foundation models such as OpenAI, Anthropic, Gemini, Llama, and other commercial or open-weight models.

— Build LLM evaluation and benchmarking pipelines, including offline tests, online monitoring, human-in-the-loop review, and quality measurement.

— Improve model performance across relevance, faithfulness, latency, throughput, reliability, and cost.

— Design and maintain APIs, backend services, integrations, data flows, and custom tools for AI systems.

— Build custom tools, skills, integrations, and MCP-style server/client patterns for agentic workflows.

— Deploy, monitor, and optimize AI systems on cloud platforms, with a focus on scalability, reliability, observability, and cost efficiency.

Requirements: 

— 2+ years of hands-on experience building and deploying LLM-based applications, RAG systems, or AI agents in production.

— Strong Python experience, ideally 3+ years.

— Experience building backend systems, APIs, services, integrations, and data flows.

— Experience with object-oriented programming, backend architecture, design patterns, and production system design.

— Hands-on experience with LangChain, LangGraph, or similar AI orchestration frameworks.

— Strong experience designing agentic AI systems, tool-using agents, or multi-step AI workflows.

— Experience with RAG architecture, including chunking strategies, embeddings, vector databases, reranking, and retrieval evaluation.

— Experience with vector databases such as Pinecone, Weaviate, Qdrant, Chroma, Milvus, or similar.

— Experience with LLM evaluation and benchmarking, including designing evaluation pipelines and measuring model performance.

— Strong prompt design, prompt iteration, and prompt optimization skills.

— Experience working with major model providers or open-weight models such as OpenAI, Anthropic, Gemini, Llama, or similar.

— Cloud experience with AWS, GCP Vertex AI, Azure AI Foundry, or similar platforms.

— Familiarity with AI safety, responsible AI, guardrails, and output validation for production systems.

— Experience with CI/CD pipelines, deployment workflows, and engineering best practices.

We offer:

— remote time job, B2B contract
— 12 sick leaves and 18 paid vacation business days per year
— Comfortable work conditions (including MacBook Pro and Dell monitor on each workplace)
— Smart environment
— Flexible work schedule
— Competitive salary according to the qualifications

Backend AI Engineer

[Freelance, Full-time, Remote]

SNEAK PEEK

⇨ Location: Remote, GMT+0/+4

⇨ Interview process: HR Interview ⇨ Technical interview ⇨ Take-home challenge ⇨ Presentation of home challenge 

WHO ARE WE? 

At Rounds, we believe in harnessing the power of cutting-edge technology to drive business success. Our transformative, machine-learning technology identifies and optimizes mobile assets, while our team of experts, with their unparalleled human capital and business acumen, provides the strategic direction and support to turn mobile assets into profitable businesses. Together, we are revolutionizing the mobile industry. 

THE ROLE

We’re looking for a strong systems-oriented engineer with hands-on LLM experience to join our AI Innovation team. In this role, you’ll build AI systems and internal products that improve how teams work across different departments and areas in the company. The common denominator is ownership: you should be comfortable leading projects end-to-end, including clarifying needs with stakeholders, making decisions under ambiguity, and pushing through blockers when they arise.

This role is a strong fit for someone who enjoys both sides of applied AI work: full-stack engineering and practical use of LLM capabilities.

Hiring manager: Ori Nahum, AI Innovation Team Lead 

What you’ll be working on

Examples of projects you may work on:

• AI agents for code generation workflows (especially in mobile applications)
• A mobile app navigation agent
• Backend services that orchestrate LLM workflows, tool calling, and integrations with internal systems
• AI chatbot connected to internal data sources and business systems
• And other new AI-driven solutions that support different departments across the company

You’ll be expected to move between experimentation and implementation: validating ideas quickly, turning the promising ones into reliable tools, and leading projects far enough to make them useful in practice, not just technically possible.

WHAT ARE WE LOOKING FOR?

Must-have

• 5+ years experience in software development (preferably in Python, TypeScript, or mobile development).
• Ability to lead projects from idea to production, including aligning with stakeholders, driving decisions, and proactively removing blockers when needed
• Hands-on experience building LLM-based products, tools, or agents beyond toy prototypes
• Good understanding of prompt design, tool calling, orchestration, and how to make LLM systems actually useful
• Strong English communication skills

Big advantage

• Experience building internal developer tools or productivity systems
• Background in mobile development, especially native Android or iOS
• Design and implement evaluation frameworks to assess AI performance, accuracy, and reliability.
• Solid understanding of ML theory and how LLMs work under the hood, including key concepts, limitations, and trade-offs beyond the API layer
• Familiarity with cloud infrastructure / DevOps / CI-CD
• Good judgment around where AI adds value and where it doesn’t

Who will do well here

You’ll likely do well in this role if you:

• Like building practical systems, not just demos
• Take initiative without waiting for perfect specs
• Enjoy exploring new tools, but know how to separate hype from what’s actually useful
• Want the freedom to research, experiment, and then ship
• Enjoy working across different problem spaces and use cases, rather than staying in one narrow lane

INTERESTED?

Our recruitment process consists of the following steps: 

• HR interview with the recruitment manager: 45 min
• Technical interview with the AI Engineer Tech Lead & Team Lead: 1 hour
• Take-home challenge: ~ 4 hours of work
• Final Interview - take-home challenge presentation with CTO and AI Engineer Team Lead and Tech Lead: 1 hour

We are looking for an AI/ML Engineer who is passionate about building intelligent products powered by

modern machine learning and generative AI technologies. In this role, you will work across the entire

development lifecycle — from research and prototyping to deployment and production support.

What You'll Do

- Design and implement AI-driven solutions using modern LLM providers such as OpenAI, Anthropic, and Mistral.

- Build and optimize Retrieval-Augmented Generation (RAG) systems, including document

processing, embeddings, and retrieval workflows.

- Develop applications using LangChain, LlamaIndex, and related AI frameworks.

- Create and maintain backend services in Python using FastAPI or Flask.

- Train, fine-tune, and integrate machine learning and deep learning models.

- Deliver NLP solutions for tasks such as text classification, entity extraction, summarization, and

information processing.

- Participate in computer vision initiatives when required by the project.

- Work with relational, NoSQL, and vector databases.

- Deploy, monitor, and support AI services in cloud environments using modern DevOps

practices.

What We're Looking For

- 2+ years of commercial Python development experience.

- Practical experience working with Large Language Models and prompt engineering techniques.

- Strong understanding of embeddings, retrieval strategies, context windows, and RAG

architectures.

- Experience building APIs with FastAPI or Flask, including async programming and

SQLAlchemy.

- Hands-on experience with ML/DL frameworks such as PyTorch, TensorFlow, or scikit-learn.

- Solid knowledge of NLP tools and ecosystems, including Hugging Face and Transformers.

- Experience working with SQL, NoSQL, and vector databases.

- Familiarity with Docker, CI/CD pipelines, and cloud platforms.

- Commitment to code quality through testing, typing, and development best practices.

- Upper-Intermediate English level or higher.

Nice to Have

- Experience with Computer Vision technologies such as OpenCV, YOLO, EfficientDet, or similar

frameworks.

- Understanding of hybrid search approaches combining vector and keyword-based retrieval.

-Exposure to Kubernetes, monitoring, and observability tools.

We are building the next generation of AI Agentic Marketing Solutions specifically for the Game Development industry. We don’t just build simple chatbots; we build autonomous agents that plan, execute, and optimize User Acquisition (UA) and marketing campaigns for gaming studios.

We are looking for an AI Jedi—a top-tier engineer who lives and breathes agentic orchestration and can solve the most complex problems in the LLM space.

The Role

This is a high-impact, individual contributor role for a master of AI engineering. You will be responsible for the "brain" of our platform. We need someone who can move beyond basic RAG and prompt engineering to build sophisticated, self-correcting, and autonomous agentic workflows that deliver results for the world’s biggest gaming studios.

Key Responsibilities

• Architecting Autonomy: Design and implement high-level agentic orchestration using LangGraph or custom state-machine frameworks.
• AI Excellence: Solve complex challenges related to agent memory, long-term planning, and multi-agent collaboration.
• Performance & Reliability: Build robust evaluation loops and guardrails to ensure our agents perform reliably in production environments.
• Innovation: Stay at the absolute bleeding edge of AI research, quickly turning new papers and techniques into production-ready features.

Requirements

• Deep AI Expertise: Proven track record of building and scaling AI-powered products. You know the difference between a tutorial and a production-grade agentic system.
• Python Mastery: Expert-level Python skills with a focus on asynchronous programming (FastAPI, AsyncIO).
• Agentic Frameworks: Deep experience with LangGraph, LangChain, and/or similar libraries.
• Infrastructure Savvy: Comfortable with Vector Databases, high-scale data pipelines, and cloud infrastructure (AWS/K8s).
• Startup DNA: You are a "Builder." You value speed, pragmatism, and shipping code that works over theoretical perfection.

What We Offer

• High Impact: No bureaucracy. Your code shapes the future of GameDev marketing.
• Equity & Growth: A fast-track path to a key leadership role with a stake in the company’s success.
• Elite Team: Work alongside senior experts who value "Delivery in 1 Second" and relentless improvement.
• Medical Insurance in Ukraine and Multisport program in Poland.
• Offices in Ukraine (Kyiv, Kharkiv) and Poland (Wroclaw) or Remote.
• Paid vacation, sick leaves, and official holidays.
• Legal & Accounting services.
• The company provides all necessary equipment.
• English classes and Education reimbursement.

We are building the next generation of AI Agentic Marketing Solutions specifically for the Game Development industry. We don’t just build simple chatbots; we build autonomous agents that plan, execute, and optimize User Acquisition (UA) and marketing campaigns for gaming studios.

We are looking for a versatile Product Engineer based in Europe to join our high-performance team and build the end-to-end features that power our agents.

The Role

You will be the bridge between our AI logic and the user experience. You will work across the entire stack—from developing AI agents to building the FastAPI endpoints that drive our agents that our clients use to manage their AI marketing teams.

Key Responsibilities

• Agents Development: Build and maintain AI agents and features from the database level up to the UI.
• Agent Integration: Work closely with our AI team to integrate LangGraph/LangChain workflows into the platform.
• API Design: Develop and optimize high-performance APIs using Python (FastAPI).

Requirements

• AI Expertise: Proven track record of building and scaling AI-powered products. You know the difference between a tutorial and a production-grade agentic system. While you don't need to be an AI researcher, you should have experience with LLM integration and agentic frameworks. 
• Engineering Mastery: 5+ years of experience in software engineering. Solid Python skills with a focus on asynchronous programming (FastAPI, AsyncIO). Familiarity with PostgreSQL, Redis, and modern CI/CD practices. 
• Agentic Frameworks: Deep experience with LangGraph, LangChain, and/or similar libraries.
• Product Mindset: You care about the user experience and understand how your code impacts the business goals of our GameDev clients. 

What We Offer

• High Impact: No bureaucracy. Your code shapes the future of GameDev marketing.
• Elite Team: Work alongside senior experts who value "Delivery in 1 Second" and relentless improvement.
• Medical Insurance in Ukraine and Multisport program in Poland.
• Offices in Ukraine (Kyiv, Kharkiv) and Poland (Wroclaw) or Remote.
• Paid vacation, sick leaves, and official holidays.
• Legal & Accounting services.
• The company provides all necessary equipment.
• English classes and Education reimbursement.

OneAcademy is looking for a Video Designer with strong motion design skills and hands-on experience using AI tools for commercial video production. We are building a fast-scaling education brand focused on high-performance digital content, and we need someone who can combine creativity with speed and ownership.

What You’ll Do

• Create short-form video content (Reels, YouTube Shorts, TikTok) using AI-assisted production tools
• Develop static creatives for social media and marketing campaigns
• Optimize video production workflows to improve speed, efficiency, and scalability
• Adapt content to different platforms and formats
• Work within tight deadlines while maintaining quality standards

Hard Skills & Experience

• 2+ years of strong, hands-on experience with Adobe After Effects
• Basic proficiency in Adobe Photoshop
• At least 6 months of practical experience using AI tools for commercial video production (e.g., Kling, VEO, Sora, or similar)
• Experience with prompt engineering and cost optimization of AI tools (tokens / credits management)
• Solid understanding of composition, color correction, and storytelling fundamentals

Soft Skills We Value

• High level of independence and self-management
• Strong sense of responsibility and ownership over tasks and results
• Proactive mindset
• Fast learner, comfortable adapting to new tools and workflows
• Ability to operate in a performance-driven environment

What We’re Looking For

This role is ideal for someone who is not just an executor, but a creator who understands both aesthetics and performance metrics. You should be comfortable experimenting with AI tools, iterating quickly, and continuously improving production efficiency.

If you thrive in a fast-moving, digital-first environment and want to shape the visual language of a growing education brand — we’d love to hear from you.

Why OneAcademy

• Direct ownership over growth of a core educational product
• Opportunity to build a scalable, data-driven education business
• Global product with long-term LTV focus
• High level of autonomy and fast execution
  
  What We Offer
• Ownership of acquisition strategy 
• Work with large budgets and high-scale performance campaigns
• Direct influence on unit economics and growth metrics
• Opportunity to build and shape your own team
• Remote work with flexible schedule
• Work in a fast-growing global prop trading firm
• Performance bonuses and incentives

Ajax Systems, an international tech company and the largest manufacturer of security systems in Europe.

We are looking for a new team member to join our Video Devices Division as a Computer Vision Engineer .

The Video Devices Division is responsible for the full development cycle of Ajax video devices, covering every stage from initial concept creation to mass production launch and further scaling. The team focuses on building complex products that combine mechanical design, hardware development, and the integration of low-level software to ensure stable real-time system performance.

The development process involves deep expertise in optics, image quality, embedded systems, Wi-Fi and networking technologies, as well as audio tuning. The division ensures full vertical integration of all device components, creating technologically complete solutions that meet the reliability standards of the Ajax ecosystem and the requirements of global industrial production.

What you'll work with:

• Object detection
• Object tracking
• Face recognition
• Multi-modal search
• Acoustic intelligence
• Models optimization for edge inference
• Research and deliver sota computer vision solutions to exceed today's cctv domain expectations

Your cross-functional partners:

• ml team
• platform team
• annotation team
• qa team

What we're looking for:

• 2+ years with computer vision and python
• experience with pytorch

Nice to have:

• experience with C++
• deploy AI models on edge devices
• computer vision analytics troubleshooting

We offer:

- The opportunity to suggest and implement your own ideas that directly influence the product and its mass production;
- A place in a fast-growing company with a motivated and professional team;
- Competitive salary;
- Medical insurance;
- Corporate English classes;
- The opportunity to participate in Ajax’s internal beta-testing program for security systems;
- Discounts from partner companies;
- Discounts on Ajax products.

Ajax Systems is a Ukrainian success story that has grown into a global product. Ajax devices are trusted by more than 4.5 million end users and 330,000 PRO users in over 180 countries. The company provides comprehensive solutions to protect residential and commercial properties of all sizes. Today, Ajax portfolio includes 280 devices for intrusion protection, video surveillance, fire safety, and comfort and automation.

Direction

We are building a dedicated AI direction - a role not tied to a specific product, focused on bringing AI into the company's work: building AI processes, integrating AI tools into teams' daily work, and creating in-house AI tools and agents for internal needs (current agent stack - LangGraph ts).

This is a position for an experienced engineer with strong fundamentals who is AI-native in daily work and knows how to take ideas to working tools. You'll move the direction technically as a hands-on Senior: choosing approaches, building solutions, and spreading AI practices across teams.

What you'll do

• Design and build AI tools and agents for the company's internal needs.
• Integrate AI into teams' daily workflows (development, support, operations), improving their productivity.
• Automate internal and operational processes through agentic workflows and pipelines.
• Evaluate, pilot, and roll out AI-ecosystem tooling (Claude / Claude Code, Codex, etc.); establish usage practices and guidelines.
• Ensure reliability of AI solutions: prompt quality, structured outputs, error handling, and output validation.
• Move the AI direction technically: choosing approaches, solution architecture, spreading expertise across teams.

Example focus areas (indicative):

• AI assistant / RAG over the company's internal knowledge and documentation.
• Agents for automating routine flows (support, CRM, reporting).
• Developer-productivity tools: AI code review, code generation/migration, PR automation.

Expectations

• Experienced engineer: 5+ years of commercial development, strong fundamentals, confident system design, ability to take a task from idea to production on your own.
• AI-native in daily work: you confidently use AI dev ecosystems (Claude Code, Codex, etc.); strong prompt engineering; you understand the capabilities and limits of agentic tools - tool use, "skills", structured outputs.
• You build, not just consume: you have experience creating AI tools and integrations, not only using ready-made ones.
• Language-agnostic: you work confidently across several languages (PHP / Go / TypeScript / Python) and pick the right tool for the task; a new language or stack is not a barrier.
• Product thinking: you see where AI adds real value and where it doesn't; pragmatic about adoption.
• English - at least B2 (Upper-Intermediate): you read documentation fluently, communicate, and explain your work.

Nice to have

• Hands-on experience building agents and workflows: LangGraph (TS)- current stack, or other agentic frameworks.
• Low-code / automation pipelines (n8n, etc.).
• RAG, vector search, working with the company's knowledge and data.
• Evals, observability, and guardrails for LLM systems in production.
• Backend experience in the company's stack (PHP / Laravel / Symfony, Go, ts) for deeper integrations.

What we offer

• 8-hour working day
• Flexible schedule - within the team's overlap window you decide when to start and finish
• 20 paid vacation days per year
• 5 paid sick days per year
• National holidays off

Conditions

• Format: fully remote
• Employment: full-time
• Time zone: CET (Central European Time) or Europe/Kyiv
• Hiring process: CV → technical interview → short test task (optional) → final interview
• Probation: 2 months

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!