Jobs ML / AI Engineer

About: The team is building an AI platform in the gaming industry, working with LLMs, RAG, and multi-agent systems in production.

Responsibilities:

• Design LLM architecture: RAG, multi-agent, tool-calling, memory
• Scale/optimize vector & semantic search (pgvector, hybrid search, reranking)
• Build pipelines for GDD processing and validation
• Develop prompt engineering, evaluation, and guardrails
• Integrate local and cloud LLMs (Ollama / OpenAI-compatible APIs)
• Design fault-tolerant AI systems for production workloads
• Implement monitoring for quality, latency, and cost
• Architect multi-agent workflows and manage agent coordination
• Prepare the platform for TypeScript code auto-generation
• Code review, mentoring, and team technical growth

Must-have:

• 3+ years in ML / Applied AI / LLM projects
• Strong Python
• Hands-on LLM, RAG, embeddings, vector search
• Production AI/ML system design & maintenance
• Multi-agent architectures and LLM orchestration
• PostgreSQL + pgvector (or similar)
• Async and event-driven pipelines
• Docker (production)

• Architectural mindset and ownership

   

Nice-to-have:

• HuggingFace / vLLM / OpenAI / Ollama
• Hybrid search, rerankers, long-context strategies
• RabbitMQ / Redis
• CI/CD and MLOps practices
• TypeScript (basic understanding)
• Experience in game dev or content generation
• Confluence / Jira API integrations

About the Product:
 

They build one of the most trusted AI order-taking systems for drive-thrus, designed specifically for high-volume QSR environments and built to scale. Their AI consistently delivers over 93% order completion and 96% accuracy, enabling faster, error-free service across thousands of locations.

Their platform gives brands full control over scripts, upsells, and voice, while allowing franchisees to easily adapt menus, limited-time offers, and regional variations. Built-in labor optimization reduces employee stress and turnover, saves hours of labor every day, and significantly improves the guest experience.

They are growing rapidly and operate the largest number of voice-AI drive-thru deployments in the market, competing directly with both big tech and restaurant technology leaders.

They are now looking for a Staff Engineer to join their Infrastructure team and help shape the backbone of a highly complex, real-time system at scale.

 

About the Role:
 

As a Staff Engineer, you will operate at a high level of ownership and impact, working on systems that are already live in production and used at massive scale.

You will:

• Own and evolve critical parts of the core backend infrastructure -a real-time, distributed system written in Python and Rust
• Lead large technical initiatives end-to-end with minimal guidance
• Troubleshoot and resolve high-severity, complex production issues
• Continuously improve development velocity while maintaining exceptionally high reliability standards

Why You Should Apply

This role is ideal for engineers who want real technical ownership, not just influence on paper.

By joining them, you will:

• Work on mission-critical, real-time systems deployed at massive scale
• Tackle hard infrastructure problems involving networking, performance, concurrency, and reliability
• Have genuine autonomy to design, build, and ship impactful solutions
• Compete technically with top-tier big tech systems while retaining startup-level speed
• Influence architecture decisions that directly affect thousands of real-world locations
• Be part of a team that values deep technical excellence, resilience, and ownership

If you’re looking for a role where your experience truly matters - and where the problems are genuinely difficult - this is it.

Qualifications

• BSc in Software Development or equivalent industry experience
• Previous experience as a Staff or Principal Engineer in a startup environment
• 10+ years of Python development experience
• Strong experience with Python Asyncio
• Excellent software design and architecture skills
• Strong written and verbal communication skills
• Significant experience with at least one strongly typed language (Rust, C++, Go, Swift, Java, etc.)
• Deep understanding of networking protocols and operating systems
• Deep expertise in Python profiling and performance optimization
• Proven experience delivering and troubleshooting production-grade, cloud-based distributed systems
• Experience building and debugging real-time, low-level systems (e.g., kernel, drivers, RTOS)
• Hands-on experience with Kubernetes and Helm
• Experience working with multiple observability stacks
• Strong LLM prompting skills, while also being effective without them
• Experience with gRPC and gRPC troubleshooting
• Contributor or maintainer of an open-source project

Bonus Experience

• Knowledge of WebRTC, STUN/TURN, SIP, RTP, HLS, or RTMP
• Experience with Rust and PyO3
• Audio or voice-related programming experience

Qualities They’re Looking For

• Fast - you aim to be a true 10x engineer, not just another senior profile
• Resilient - comfortable balancing planned work with urgent, real-time issues
• Clear communicator - able to write concise documentation and explain complex ideas
• Strong problem solver with a systems-level mindset
• Extreme ownership and independence
• Ability to turn incomplete or ambiguous requirements into real products
• A collaborative team player who raises the technical bar around them
  
  If you’re passionate about AI, real-time systems, and backend development at scale, we’d love to hear from you!

About the Role:

As a Computer Vision Engineer, you will play a key role in our AI team, designing and building solutions that make legal collaboration seamless and accessible. You will work on a cutting-edge product that leverages computer vision and other advanced AI techniques to support the automotive industry. Our platform, SelfInspection, enables automated vehicle inspections. Users capture photos of a vehicle's exterior, interior, and tires, which are then analyzed by our AI and experts to generate detailed condition reports. The first version of the product is live, and we are actively developing its second iteration.

Responsibilities:
 

• Train, evaluate, and deploy computer vision models for tasks such as instance segmentation, object detection, classification, and tracking
• Improve and optimize existing computer vision models
• Prepare high-quality training datasets using annotated data provided by the annotation team
• Stay current with advancements in the computer vision field to ensure the use of efficient and modern approaches
• Collaborate with C-level stakeholders to define technical requirements and specifications for new features
   

Qualifications:
 

• Minimum of 5 years of hands-on experience in machine learning, computer vision, or a closely related field
• Proven experience in training, evaluating, and optimizing deep learning models for production environments
• Strong background in data collection, preprocessing, augmentation, and annotation workflows
• Bachelor's, Master’s, or Ph.D. degree in Computer Science, Electrical Engineering, Mathematics, or a related discipline (preferred but not required)
   

Skills:
 

• Hands-on experience with deep learning frameworks, particularly PyTorch and/or TensorFlow
• Deep understanding of convolutional neural networks (CNNs), transformers, and core computer vision tasks such as image classification, object detection, segmentation, and tracking
• Proficiency with scientific and image processing libraries such as NumPy, OpenCV, and scikit-learn
• Familiarity with model deployment techniques (e.g., ONNX, TensorRT, TorchScript, TensorFlow Lite) and performance optimization strategies
• Strong problem-solving skills and the ability to decompose complex vision tasks into modular components
• Excellent communication and collaboration skills across both technical and non-technical teams
   

Will be a Plus:
 

• Interest in prototyping and experimenting with new computer vision techniques
• Experience designing AI products from the ground up, with a solid understanding of AI system architecture
   

Required languages
EnglishA2 - Elementary

N.B! - Locations: remote from Latvia, Lithuania, Spain, Poland, Slovakia, Romania, Hungary  ONLY.
 
In a partnership with one of global consulting companies, we’re looking for a Principal Software GenAI Engineer. The client is a UK-based telecommunication company.

With this role you'll be at the heart of an exciting journey, crafting tools and patterns that are state-of-the-art and transformative. We are the catalysts, enabling the creation and collaboration of cutting-edge ML and AI technologies. Our work is pivotal in shaping the company’s future, empowering teams across the organisation to explore, innovate, and redefine the landscape of media. Our team is building out new tools and capabilities to accelerate data science activities and the development of ML/GenAI applications. We enable teams across the company to build, collaborate on, manage, and maintain their machine learning platforms at scale.

You will play a key role in driving our ambition to build an outstanding software engineering team, environment, and culture. We are looking for a Principal Engineer to join our tech community to drive this transformation, build a modern digital ecosystem using exciting technologies and do the best work of their careers.

Your key responsibilities and impact

• Lead the design, development, and evolution of robust tooling and platforms to support scalable Data Science, MLOps, and LLMOps workflows across the organisation.
• Drive strategy and execution for deploying, serving, and monitoring large language models (LLMs) in real-time and batch environments using Amazon SageMaker, Bedrock, and related services.
• Guide the use of Infrastructure-as-Code (IaC) practices with AWS CDK and CloudFormation to provision and manage secure and maintainable cloud environments.
• Design and support CI/CD pipelines using GitHub Actions, AWS CodePipeline, Jenkins, and other tools, with an emphasis on reliability, reusability, and performance.
• Contribute to the design and integration of monitoring and observability solutions (CloudWatch, Prometheus, Grafana) to ensure infrastructure and model health.
• Champion software engineering excellence through Test-Driven Development (TDD), rigorous test automation, and continuous quality assurance practices.
• Support architectural decisions for scalable and maintainable systems, collaborating with engineering and product stakeholders to align with business and technical goals.
• Partner with architects, product leaders, and stakeholders to shape the long-term technical vision and system architecture
• Apply and advocate for security best practices across the software development lifecycle using AWS-native tools and DevSecOps principles.
• Cultivate a high-performing engineering culture through mentorship, knowledge sharing, and thought leadership via deep dives, brown bags, internal tech talks, and cross-team collaboration.

Your skills and experience

• Extensive experience in DevOps/MLOps roles with demonstrated impact in building, scaling, and securing ML/AI infrastructure in cloud-native environments.
• Strong experience with AWS services such as SageMaker, Bedrock, S3, EC2, Lambda, IAM, VPC, ECS/EKS, with a strong command of cloud solution architecture.
• Advanced proficiency in Infrastructure-as-Code practices using AWS CDK, CloudFormation, or Terraform in production environments.
• Proven track record designing and operationalised end-to-end MLOps pipelines with tools such as MLflow, SageMaker Pipelines, or equivalent frameworks.
• Extensive experience building and operating containerised applications using Docker and Kubernetes, including production-grade orchestration and monitoring.
• Deep experience with CI/CD best practices with hands-on expertise in GitHub Actions, Jenkins, and GitOps workflows.
• Strong knowledge of advanced DevOps concepts, including progressive delivery strategies (blue/green, canary), resilience engineering, and performance optimisation.
• Deep understanding of cloud security, governance, and compliance, with the ability to define and implement scalable security frameworks.
• Proven ability to drive cross-functional technical initiatives, influence without authority, and deliver results through collaboration and alignment.
• In-dept understanding of the ML lifecycle, with practical experience deploying and managing LLMs and generative AI models in production.

We present an engaging opportunity to explore and work with various technologies beyond ChatGPT prompts. You’ll have the flexibility to transition between teams, enabling you to contribute to diverse projects, including complex LLM training pipelines, 3D generative AI, diffusion models, and multimodal edge ML.

Our team comprises experts in the foundational elements of next-generation AI systems, encompassing multimodal inference, generative reasoning, and robust training pipelines. We also maintain an in-house GPU cluster, providing resources for interacting, training, and experimenting with larger models for both professional projects and personal exploration.

Joining our team — means joining a knowledgeable group of researchers and engineers in an environment eager to stay at the forefront of AI innovation, a critical endeavor in today’s rapidly advancing AI landscape.

Requirements:
• Strong Python Experience (1 year +)
• Experience with building Generative AI projects
• Specialized experience with LLMs, LangChain, LangGraph, LangFuse, RAG, and related technologies
• Experience in building REST APIs, knowledge of Docker, relational & vector DBs
• At least upper intermediate written/spoken English
• Be able to visit the office at least 3 times a week

Would be a plus:
• Experience with building Voice-to-Voice AI Systems using LiveKit or similar frameworks
• Knowledge of existing yet fresh AI tools, AI marketplaces, etc.
• Knowledge of various machine learning methodologies, including classic machine learning, recommendation engines, natural language processing, computer vision, and beyond
• C/C++ knowledge
• Experience in edge ML

Key Responsibilities:
• Tackle tough problems and find creative ways to solve them
• Maintain and optimize the solution for maximum speed and flexibility
• Guide, tune, and train LLMs
• Write clean and reusable code
• Improve your skills and stay up-to-date with emerging technologies

What We Offer:
• Startup culture, a strong goal-oriented team, and a research mindset
• Opportunity to leverage your engineering skills for fellow engineers and shape the future of AI
• Working with the newest technical equipment (Latest MacBook Pro)
• 20 working days of annual vacation leave
• English courses, Educational Events & Conferences
• Medical insurance

We are looking for a Senior ML Engineer to join a product mobile gamedev company ranked in the TOP-10 gaming companies worldwide by App Store installs, with 2B+ installs across its portfolio.
 

This is a highly data-driven role focused on production ML models for LTV, churn, user segmentation and personalization, directly impacting core business metrics.
 

What you will do:

• Develop and improve production ML models (LTV / churn / segmentation / anomaly detection)
• Work with large-scale data from multiple sources
• Deploy, monitor and automate ML models in production
• Analyze model accuracy and performance, propose improvements
• Build personalization algorithms for in-game experience
• Collaborate closely with UA, Monetization and Analytics teams
   

Must-have:

• 5+ years of experience with Python
• Strong experience with Pandas, Scikit-learn, PyTorch
• Strong SQL (complex queries, large datasets)
• Proven experience in developing and deploying production-ready ML models for LTV / churn prediction, including the full ML lifecycle (deployment, monitoring, automation)
• Hands-on experience with production ML systems
• Experience with Docker, APIs, CI/CD
• Degree in Computer Science, Mathematics or related field
   

Nice to have:

• Experience with mobile games
• Experience with AdTech / marketing ML
• Experience with BI tools
   

Team & setup

• Mature Data Science & ML team (17+ people)
• Strong analytics & ML culture
• Distributed, Russian-speaking team
• Democratic values and healthy work environment

What the company offers:

• Relocation to Cyprus or Poland (company-supported)
• 24 paid days off (incl. sick leave)
• Medical insurance
• Conferences & learning budget

• Team buildings

   

Interview process

1. Recruiter call (40 min)
2. Technical interview (1.5 h)
3. HR interview

Requirements

Overall:
Strong knowledge of Python, TensorFlow or PyTorch.
Bachelor's degree in Computer Science (or related field).
Experience with Machine Learning, Gen AI and Computer Vision.
Experience with python web services.
Experience with cloud ML deployment.
Strong understanding of model training, evaluation, and optimization.
Experience with AWS or GCP or Azure

LLM:
Experience with LLAVA or ChatGPT or LLAMA or Gemini.
Fine-tuning open-source LLMs.
Deploying open-source LLMs.
Familiar with agents.

Computer Vision:
Expertise with tracking, keypoint/pose estimation, action recognition, and depth estimation.
Experience in image and video processing using OpenCV.
Hands-on experience with YOLO and Transformer-based architectures for vision tasks.

Will be a plus:
Data Version Control for Big Datasets.
Optimizing models for edge devices.
C++, Java knowledge a plus

Other:
Ability to multi-task, organize, and prioritize work effectively.
Upper Intermediate or higher level of English proficiency.

What We Offer:
- Competitive salary based on experience and skills.
- Flexible working hours and the possibility to work remotely.
- Opportunities for professional growth and career advancement.
- Friendly and collaborative team environment.
- Access to the latest technologies and tools.

 

⚡️ ML/AI Engineer (Middle+/Senior) – Remote | Full-time | Long-term

We are looking for AI Engineers to join a long-term, full-time project currently in the pre-sale stage. High-priority role for skilled specialists with strong English communication.

Requirements:
• Proven AI/ML development experience (production-level projects preferred)
• Strong Python & deep learning frameworks (TensorFlow, PyTorch)
• Experience with cloud platforms (AWS, GCP, Azure)
• Working with APIs and data pipelines
• English B2+
• Team player with problem-solving skills

Nice to have: MLOps, LLMs/Generative AI, Docker/Kubernetes, CI/CD, big data experience

Responsibilities:
• Design, develop, and deploy AI solutions
• Build and optimize ML models and pipelines
• Collaborate with data scientists, developers, and stakeholders
• Ensure scalability and performance of AI solutions

Recruitment: Recruiting interview → Client interview → Offer

Ready to work on impactful AI projects? Send your CV today! 🚀

You’re a product designer who ships-an AI-native builder who turns ambiguous ideas into working product POCs fast. You sit between product design and lightweight frontend-using AI tooling as your default workflow to test, learn, and iterate.
QuintAce is an next generation AI poker coaching platform-not another solver/HUD. We’re building coaching that translates complex poker theory into simple, motivating, gameplay-first learning for real humans.

What you’ll do (core responsibilities)
● Design + build interactive product experiences end-to-end (from concept → prototype → working demo).
● Prototype AI-first UX for poker learning: session review, deciks, and “what to do next” coaching loops.
● Use Claude Code + agentic workflows to generate, refactor, and ship POCs quickly (not just mockups). 
● Use Figma MCP server to translate Figma context into code accurately and repeatedly (components, layout, design tokens). 
● Lean hard into gen-AI for visuals/UI/product art, then integrate outputs into real flows.
● Iterate based on outcomes (speed, usability, “aha moment”, retention), not polish for polish’s sake.

What we’re looking for
● A product designer who can build, not just design.
● Strong UI/UX instincts + taste + systems thinking.
● AI geek (must-have): you actively experiment with tools/workflows and can assemble a stack to ship POCs (agents, prompts, pipelines, eval loops).

Product/UI/UX experience. se for visuals + prototyping.
● Ability to build interactive prototypes (code, no-code, or hybrid)
● Build/coding AI (Cursor/Copilot/OpenAI APIs/Vercel AI SDK) nus:** Claude Code + Figma MCP server workflows 
● 0→1/startup shipping, indie demos, experimental mind

We are helping one of our product partners build a core ML function and are looking for an ML Engineer to join their internal team. The partner is building an autonomous advertising system that already creates and runs campaigns through agents. The next critical step is adding an intelligence layer that learns from outcomes and optimizes decisions autonomously.

Mission
Build machine learning and reinforcement learning systems that maximize ROI across hundreds of concurrent advertising campaigns through autonomous optimization.

Responsibilities

• Design and build reinforcement learning models for autonomous campaign optimization
• Develop prediction models to forecast campaign profitability before spend
• Implement automated bid adjustment, campaign kill-switches, and budget reallocation logic
• Analyze around two years of historical campaign data in BigQuery to identify performance patterns
• Design reward functions and feedback loops for AI agents
• Run A/B tests comparing ML-driven optimization with rule-based approaches
• Collaborate with an AI Creative Strategist to validate which creative patterns drive the highest ROI
• Monitor models in production, retrain them, and continuously iterate

Must-have requirements

• Degree in Mathematics, Physics, Computer Science, or another quantitative field
• At least 2 years of hands-on experience with machine learning models in production
• Strong Python skills with the ability to write clean, testable, deployable code
• Practical experience with at least one of the following: reinforcement learning, optimization algorithms, time-series forecasting, recommendation systems
• Confident SQL skills (BigQuery or equivalent)
• AI-native working style with daily use of modern AI coding tools
• Ability to take solutions from research to production independently
• Self-directed mindset with the ability to define and execute a work plan based on business goals
   

Nice to have

• Experience with Google Vertex AI, GCP, or similar cloud ML platforms
• Background in AdTech, programmatic advertising, or real-time bidding
• Published work or personal projects related to reinforcement learning or autonomous systems
• Experience building systems that operate on real money
• Experience with LLM-based agent orchestration

Language requirements
English at Upper-Intermediate level or higher. Code and data are the primary working languages. No client-facing communication is required.
 

Work format
Full-time, fully remote.

Job Description

Technical Requirements:

• Experience: 5+ years in Applied ML/AI with a history of production-scale impact.
• Cloud: Hands-on AWS proficiency and MLOps expertise.
• Advantageous: Experience in Search, Personalization, or Dynamic Pricing.

Job Responsibilities

Core Responsibilities:

• Design: Build scalable pipelines for LLM, RAG, and Generative AI systems.
• Execute: Own the model lifecycle (Deployment → Monitoring → Optimization).
• Strategy definition: Align AI capabilities with retail/e-commerce business goals.

Department/Project Description

Senior Applied AI Developer
50% Dev | 30% Strategy | 20% Research

A premier global multi-brand retailer known for its unique blend of high-end fashion and editorial content. With a massive digital footprint of 100M+ monthly interactions, this technology-driven platform is a leader in the luxury e-commerce space, focusing on menswear, womenswear, and innovative lifestyle categories.

Skill Category

AI/ML

Keyskills - Must Have

• Machine Learning
• Pipeline Execution/ETL
• AI
• Python
• Data Warehousing
• Cloud Platform
• AWS

• We’re seeking a super-experienced Senior Back-end Developer with deep expertise in JavaScript/TypeScript, particularly in Node.js, combined with practical experience in AI prompt engineering. You’ll architect, build, and optimize scalable applications that seamlessly integrate AI-assisted functionalities and modern backends.
• Prior experience with VPN services and network protocols.

Requirements

Position name: Senior Node.js Developer(with AI agents experience) for VPN Mobile App
Level: Senior

Hard skills:

• 8+ years of Software Engineering experience
• Strong experience with Node.js (Express.js, Koa.js, Nest.js)
• Strong Software Design knowledge: OOD, FP, Design patterns
• Experience building and maintaining VPN, proxy, and secure networking backend systems
• Solid understanding of network protocols, tunneling, traffic routing, and encryption standards
• Practical hands-on experience with AI prompt engineering, leveraging ArgumentCode, ClaudeCode, Cursor, or equivalent developer-AI tools.
• Deep understanding of RESTful and GraphQL APIs, modern web performance, and security.
• Solid understanding of LLM context design, tool integration, and code-generation workflows.
• Excellent knowledge of modern systems architecture components including microservices, event sourcing, and distributed data processing systems
• Advanced experience with SQL databases, especially PostgreSQL
• Experience with Docker & CI/CD processes
• Experience with AWS (or similar services like GCP or Azure)
• Experience with Serverless framework, AWS Lambdas, AWS CloudFormation
• Knowledge of Agile (preferably SCRUM) development practices

About the Role:

We are looking for a Senior Machine Learning Engineer to lead the development, deployment, and operationalization of advanced AI and machine learning solutions across two high-impact initiatives:

• Automated Requirements Engineering Platform powered by Large Language Models (LLMs)

• Supply Chain Intelligence Platform with predictive risk scoring and demand forecasting

   

In this role, you will own the end-to-end machine learning lifecycle — from system architecture and data pipelines to model training, optimization, and production deployment. You will work at the intersection of generative AI and classical machine learning, delivering models that are not only accurate, but also robust, explainable, and production-ready.

The environment follows a structured Sprint Zero → Stage Gate delivery model and operates under strict defense-grade security and compliance requirements, making this role ideal for engineers who value engineering rigor and real-world impact.

👉 Key Responsibilities:

1. LLM & NLP Pipelines

• Design and fine-tune LLM-based pipelines to parse and interpret complex regulatory and technical documentation (e.g. military standards, building codes);
• Transform unstructured natural language requirements into machine-executable formats (e.g. logic tuples, structured rules);
• Implement Retrieval-Augmented Generation (RAG) architectures for semantic search across technical documents and historical project data;

• Optimize prompt engineering strategies (few-shot learning, chain-of-thought, prompt templates) to improve domain-specific performance with minimal retraining.

   

2. Predictive & Analytical Models (Supply Chain)

• Develop time-series forecasting models for material demand, cost trends, and spend categories;
• Build risk scoring, classification, and anomaly detection models to evaluate supplier reliability and exposure (financial, operational, geopolitical);

• Design multi-objective optimization algorithms to balance cost, lead time, and risk in procurement decision-making.

   

3. MLOps & Productionization

• Containerize and deploy models using Docker and Kubernetes into secure, on-premise inference environments;
• Build reproducible training and inference pipelines using tools such as MLflow, Kubeflow, or similar;
• Optimize inference performance through quantization, distillation, and efficient model architectures;

• Implement monitoring and retraining workflows to detect model drift and ensure long-term performance in production.

   

👉 Technical Requirements:

• Python expertise and strong hands-on experience with ML frameworks: PyTorch, TensorFlow, Scikit-learn, Pandas, NumPy;
• Deep understanding of NLP and Generative AI, including transformer architectures (BERT, GPT, LLaMA);
• Experience with Hugging Face, LangChain, or similar NLP/LLM frameworks;
• Solid MLOps experience, including Docker, Kubernetes, experiment tracking, and CI/CD for ML;
• Ability to design data pipelines for structured data (SQL, tabular) and unstructured data (text, PDFs);

• Strong algorithmic thinking with experience implementing custom logic (e.g. graph traversal, optimization, geometric or rule-based computations).

   

👉 Professional Qualifications:

• 5+ years of experience in Machine Learning Engineering with production-grade deployments;
• Proven ability to adapt ML solutions to complex, highly regulated domains (e.g. defense, supply chain, construction, engineering);
• Experience working in agile delivery models, while maintaining strict engineering standards and documentation discipline;

• Strong collaboration and communication skills, with the ability to work closely with Data Scientists, Backend Engineers, and Domain Experts.

   

👉 What we offer:

📈 Professional Growth opportunities:

• Ambitious goals and interesting projects;
• Regular & transparent performance review and feedback process;

• Possibility for both vertical or horizontal growth (in case you want to try a different path).

   

😌 Comfortable Working conditions

• Flexible working hours;
• Provision of required equipment;

• Remote working model.

   

🎁 Benefits program

• 20 working days of fully paid vacation;
• Free tax reporting support by our Financial department;
• Help with individual entrepreneurs’ questions and accounting support;
• Financial support and additional days off for various occasions (e.g. marriage, childbirth, etc.).

We are seeking a proactive AI Integrator/ Automation Specialist to analyze client business processes, identify automation opportunities, and implement AI-driven solutions. This role involves working closely with stakeholders to design optimized workflows and deploy AI agents using platforms like Zapier, Make.com, and n8n. You’ll integrate tools such as CRM, ERP, Notion, Slack, Gmail, Hubspot, and ensure smooth rollouts through testing and continuous improvement.

You will be working on our internal product, focused on process optimization and automation for clients.

REQUIREMENTS

We’re looking for AI Integrator/ Automation Specialist who has:

• Hands-on experience with AI tools and no-code/low-code automation platforms (Zapier, n8n or Make);
   
• Strong understanding of APIs, webhooks, and workflow logic;
   
• Familiarity with basic programming/scripting Python or Node.js(a plus);
   
• Knowledge of AI/ML concepts such as NLP, LLMs, prompt engineering;
   
• Analytical thinking and the ability to break down complex problems into scalable automation flows;
   
• Excellent communication, presentation, and teamwork skills.

RESPONSIBILITIES

Objective:
Analyze existing business processes, identify opportunities for improvement through automation tools, and implement AI agents to streamline operations — working directly with client stakeholders to ensure alignment and success.

We're looking for AI Integrator/ Automation Specialist who will:

• Analyze existing customer business process in tight cooperation with stakeholder, define "state-to-be" -= optimised BP, implement improvements via automation and agents to identify automation opportunities;
• Design and deploy AI agents using platforms such as Zapier, Make.com, n8n, etc;
• Integrate AI solutions with customer tools (e.g., CRM, ERP, Slack, Notion, Gmail, Hubspot);
• Test, monitor, and fine-tune AI agents to ensure reliability and performance;
• Collaborate closely with product, development, and client teams, customer stakeholders, process owners and decision makers to ensure smooth rollouts.
   

ABOUT PROJECT

Description

Easyflow is here to boost your business with AI agents that automate routine tasks and free up your team for high-impact, strategic work.

Choose the AI solution that fits your needs – data processing, decision making, performance reporting, and task execution. Of course, these are not all the possibilities!

Nothing from scratch! Easyflow AI agents integrate smoothly into your existing workflows, handling the repetitive tasks so your employees can focus on business growth.

Project Team

8 people

WHAT WILL YOU GET WITH KINDGEEK

We want you to thrive and feel supported

• Professional growth: at Kindgeek, we want our employees to grow and achieve ambitious professional goals. We support professional development with training and certification refunds and provide regular feedback and technical reviews.
• Benefits package: Kindgeek offers all team members competitive compensation and a benefits package that includes 18 working days of fully paid vacation, 10 compensated by 50% sick leaves without a note from the doctor, and an opportunity to take study leaves. Depending on how long you stay in the company, you can receive different health insurance packages from our partners.
• Personal growth: as a part of our team, you will have access to corporate English courses with a 50% reimbursement, take advantage of our offline library and access a large selection of corporate training and classes. Also, every employee can request any internal or external training or certification if it applies to his or her work responsibilities.
• Geek community: at Kindgeek, we value community – even in the full-scale invasion times, we take every opportunity to stick together. Our geeks organise various online and offline clubs – from stretching and skiing to English. We volunteer together and support each other.
• Flexibility: Kindgeek offers a hybrid working model. Team members can work remotely or from the office or Kindgeek London Hub – an innovative cafe-style co-working in Lviv (it's pet-friendly!).

We encourage you to apply

At Kindgeek, we encourage everyone to apply – regardless of nationality, race, gender, marital status, disability, sexual identity, or religion. We are growing into an inclusive, equal-opportunity company where only professionalism, competence, and ideas matter. We are committed to supporting mobilised employees and veterans joining Kindgeek and facilitating their career development. We aim to bring equal opportunities to all team members and candidates – especially those underrepresented in technological companies.

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. You can find out more info about us here: www.rounds.com.

THE ROLE

We’re looking for a passionate AI engineer to join our dynamic AI Innovation Team, which is the driving force behind technological advancement in our company. Here, you will use cutting-edge AI technologies to boost productivity and make extraordinary ideas a reality.

We're excited to meet someone who is AI-obsessed, has a strong sense of product ownership, is ready to take initiative and who is full of creative ideas. If this sounds like you, we want you to join our team!

Hiring manager: Alik Hochner - CTO, Ori Nahum - AI Innovation Team Lead 

KEY RESPONSIBILITIES

• Develop and maintain high-quality AI solutions for both internal teams and external users.
• Architect sophisticated AI agents, including multi-agent systems.
• Design and implement evaluation frameworks to assess AI performance, accuracy, and reliability.
• Collaborate across diverse teams to boost developer productivity.
• Continuously explore the evolving AI landscape and identify impactful tools for company growth.
• Shape the company’s best practices and guidelines for AI usage.

WHAT ARE WE LOOKING FOR?

Must-have:

• 5+ years experience in software development (preferably in Python or TypeScript).
• Skilled in prompt engineering and have a strong understanding of how LLMs work internally.
• Proven track record in developing AI agents from scratch and implementing effective AI solutions for businesses.
• Basic DevOps proficiency (CI/CD, Cloud).
• Quick learner who adapts effortlessly to new tools and approaches.
• Passionate and knowledgeable about current AI trends and best practices.
• Excellent English communication skills.

HOW DO WE WORK?

We are a distributed team of more than 150 people, all working remotely and communicating partially synchronously (we usually overlap with our teams for 5 hours daily and are free to work on some of the tasks whenever it suits us best). We value open communication, proactivity and work/life balance and we measure our freelancers on performance, rather than on the time spent on the job.

WHAT’S IN IT FOR YOU? 

• 100% remote work model
• Flexible full-time working hours 

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: 1 hour
• Take-home challenge: ~ 4 hours of work
• Final Interview and Take-home challenge presentation with CTO and AI Engineer Tech Lead: 1 hour