Jobs

We are looking for an AI Developer for our company. For this position, we are considering only Ukrainians, from Ukraine or abroad.

Requirements:
- English is a must 
- back-end Python skills (Python, Django/FastAPI/Flask)
- AI & ML skills (prompt engineering, computer vision, voice recognition, etc.)

We value responsible and serious developers open to new knowledge and technologies.
The first stage is a meeting with HR, the second is a test task, and the last one is a technical interview. 

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

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

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

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

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

We offer:

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary nominated in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

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

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

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

📍 Work location - remote from Ukraine

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

Responsibilities:

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

Requirements:

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

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

   

Benefits

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

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

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

MacPaw is a software company that develops and distributes software for macOS and iOS. Today, we have 20 million active users across all our products.

At MacPaw, we believe humans and technology can reach their greatest potential together.

MacPaw is proud to be Ukrainian. The support and development of Ukraine are significant parts of the company’s culture. MacPaw gathers open-minded people who support each other and aspire to change the world around us.

We are building a world-class AI research unit and are looking for an experienced AI Research Scientist (3D) to strengthen our team. Since this unit is still young, this role offers a unique opportunity to shape its direction, contribute to its growth, and help establish it as a leader in AI research.

At our company, you’ll be working with the latest trends in the industry, conducting cutting-edge research, and bridging the gap between academic advancements and real-world applications. You'll have the chance to develop AI solutions that power products used by millions of users, ensuring that your innovations have a tangible impact.

If you are passionate about pushing the boundaries of AI research, publishing at top-tier conferences, and applying research to large-scale products, we’d love to hear from you!

In this role, you will:

• Drive cutting-edge research in fields critical to our AI research unit’s objectives, leading to innovative solutions and contributions to scientific advancement in key directions (3D Animation Generation and Asset Alignment)
• Take ownership of research initiatives from ideation to implementation, and personally conduct key aspects of the research
• Bridge the gap between advanced research and real-world applications by integrating state-of-the-art research results into our products 
• Collaborate with cross-functional teams to ensure that scientific innovations enhance product functionality and deliver measurable value to the customers
• Deliver high-impact research that results in publications accepted at top-tier AI conferences. Represent the organization as a speaker, establishing the research team as a world-class unit through exceptional contributions and scientific discourse
• Organize and conduct knowledge-sharing sessions for research teams and stakeholders, covering analysis methods, research processes, and successful implementation cases
• Provide mentoring and opportunities for students and other fellow employees
   

Skills you’ll need to bring:

• Prior experience as an AI Research Scientist with a proven innovation track record in CV, 3D
• Strong record of publications, preferably at top-tier AI conferences like SIGGRAPH, NeurIPS, ICML, CVPR, ECCV, ICLR, etc. 
• Proven expertise in Large Language Models (LLMs) and Multimodal LLMs (MLLMs), hands-on experience with training, fine-tuning, and optimizing models for various applications
• Experience in leading research initiatives from ideation to deployment
• Proven ability to bridge academic research with industry needs by developing scalable AI solutions that create measurable value
• Experience in translating cutting-edge research into practical applications, integrating state-of-the-art models into real-world products and production environments
• Experience mentoring junior researchers, students, and colleagues in AI domains
• Upper-intermediate level of English or higher
   

As a plus:

• Experience working in academic, corporate, or government AI research labs, contributing to cutting-edge advancements

What we offer:

• We are a Ukrainian company, and we stand with Ukraine against the russian aggression
  We maintain workplaces for the mobilized Macpawians and provide financial support to colleagues or their families affected by the war. Here, you can also read about the MacPaw Foundation, which intends to help save the lives of Ukrainian defenders and provide relief to as many civilians as possible: https://macpaw.foundation/.
• We are committed to our veterans
  Our Veteran Career and Empowerment Program is designed to ensure our veterans and active military personnel receive the recognition, support, and opportunities they deserve.
• Hybrid work model
  Whether to work remotely or at the hub is entirely up to you. If you decide to mix it, our Kyiv office, which works as a coworking space, is open around the clock. The office is supplied with UPS and Starlink for an uninterrupted work process.
• Your health always comes first
  We guarantee medical insurance starting on your first working month. For those abroad, you can receive a yearly Medical insurance allowance as compensation for managing your medical expenses.
• Flexible working hours
  You can choose a schedule that is comfortable for you. No one here tracks your clock in/out because MacPaw is built on trust and cooperation.
• Space to grow both professionally and personally
  Education opportunities to grow both hard and soft skills, annual development reviews, and internal community.
• Teams we are proud of
  We build honest, transparent, and reliable relationships within teams. Every Macpawian can improve processes and implement their ideas. We encourage open and constructive feedback and provide training for Macpawians on giving and receiving feedback.
• Office designed for people (and pets)
  Our office has it all: a spacious workplace with enough room for sitting up, lying down, and running around; a gym for recreation; cozy kitchens; a sleeping/meditation room; and a terrace with a view where we throw summer parties. Also, we have two cats living in the office, and you are welcome to bring your pets to the office (we have separate floors for cats and dogs).
• Time-off policy that covers life’s needs
  Convenient personal time-off policy to help you take care of essential matters in your personal life, and parental leaves. On top of all that, sabbaticals are open after 5 years of being with MacPaw.
• Join social initiatives with MacPawCares
  MacPaw participates in numerous humanitarian aid and charity projects across many fields, and you are welcome to jump in to make the world a better place.
• We’re an equal-opportunity employer. Here is a safe place for applicants of all backgrounds
  We are hiring talented humans. Meaning with all our variety of backgrounds and identities, including service members and veterans, women, members of the LGBTQIA+ community, individuals with disabilities, and other often underrepresented groups. MacPaw does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
  
  *Some benefits are under development, and new adjustments are possible.

Role Responsibilities:

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

Required Skills & Experience:

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

Nice to Have:

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

Inforce is a Software Development Company that provides a full range of top-quality IT services. Our mission is to develop first-class applications and Websites to provide our clients with the best solutions for maximizing their profits and converting their ideas into reality.

We’re launching a new AI direction and are looking for a Junior AI Automation Engineer who’s deeply passionate about AI, loves learning new tools, and wants to grow fast in the field of intelligent automation.

You’ll work on real AI-driven products - not research - building AI assistants, automation agents, and copilots that connect to real systems like CRMs, Gmail, Slack and many others!

Responsibilities:

• Build and test AI agents using LangChain / CrewAI / OpenAI API/ (Gemini API, Grok, DeepSeek, Claude)
• Design automation flows and integrate LLMs with external tools (HubSpot, Notion, Google Workspace, etc.)
• Work with data retrieval, embeddings, and SQL database (MySQL / MariaDB / PostgreSQL / SQLite)
• Collaborate with backend and frontend teams to bring AI features into production
• Communicate with project managers and sometimes directly with clients to understand automation goals and present results
• Constantly research new AI frameworks, APIs, and techniques to improve project outcomes
   

Required skills:

• 0–2 years of experience with Python or Node.js
• Understanding of REST APIs, async programming, and data structures (threading, errors handling and logging)
• Huge curiosity for AI, LLMs, and automation technologies — willingness to experiment, read docs, and self-learn daily
• English — Intermediate+ (comfortable discussing tasks or demos with clients)
• Strong problem-solving mindset and responsibility for delivering working solutions
   

Will be a plus

• Hands-on experience with LangChain, LlamaIndex, CrewAI, or OpenAI API
• Knowledge of vector databases (Pinecone, Weaviate, PGVector)
• Workflow automations (Zapier, Make, etc.)
• Any experience building bots, scripts and service integrations
• Familiarity with Git, Docker, or cloud environments
• Experience work with playwright / selenium, etc.
   

We offer:

• Real commercial AI projects with international clients
• Direct mentorship from senior engineers
• Opportunity to grow into AI Engineer / LLM Engineer within months
• Open, supportive culture and strong engineering community
• Flexible schedule and result-oriented environment

At Immigrant Invest, we combine advanced technology with deep expertise in investment migration, helping clients obtain citizenship and residency quickly and transparently. We’re now scaling our automation efforts and looking for a skilled Automation Engineer who will play a key role in designing and developing solutions using AI and no-code tools.

Our mission is to eliminate manual routine work and simplify integrations across our core platforms: Salesforce (CRM), Google Workspace, Slack, WhatsApp, and other widely used services.

What You’ll Do

• Build and maintain integrations using no-code platforms (e.g. n8n).
• Implement AI-powered solutions (using OpenAI and others) for document generation, text processing, and multilingual analysis.
• Set up and optimise data workflows: webhooks, JSON/XML parsing, Salesforce automation, Google Sheets, and Slack notifications.
• Monitor automation processes, resolve incidents promptly, and drive ongoing improvements.
• Collaborate with team members to identify new automation opportunities and bring them to life.
   

What We Expect

• 2+ years of experience working with no-code tools (e.g. Make, Zapier, n8n).
• Solid understanding of APIs (REST, OAuth2, HTTP requests).
• Ability to write basic scripts (Python or JavaScript) for custom integrations.
• Experience with or strong interest in working with AI tools (e.g. OpenAI, Claude, etc.).

Nice to Have

• Experience with Salesforce API and Flow Builder.
• Familiarity with Google Apps Script or Microsoft Power Automate.
• Understanding of DevOps basics (e.g. monitoring, CI/CD).

Who Thrives in This Role

• Proactive and solutions-oriented — you’re not afraid to suggest new ideas and take ownership.
• Able to explain technical concepts clearly and simply.
• Detail-oriented — you thoroughly test your automations and care about quality.
• Independent and good at managing your own workload.
• Eager to learn and stay current with new technologies.

What We Offer

• Career growth opportunities: you can grow into a Lead Automation Engineer or Solution Architect, managing the automation strategy and mentoring others.
• Competitive salary (negotiated individually).
• Fully remote work with a flexible schedule — we care about results, not hours.
• Support for your initiatives: 80% of employee suggestions are implemented within a month.
• A lean, bureaucracy-free culture with clear processes and open communication.

Why Join Immigrant Invest?

• We are a market leader in investment migration and rapidly evolving on the tech side.
• Your work has real impact on the lives of hundreds of clients across the globe.
• You’ll be able to see measurable results from your automation and AI solutions — and have the freedom to shape them.

Requirements:

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

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

   

Responsibilities:

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

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

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

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

   

We offer you:

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

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

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

Your expertise:

• High personal interest and self-development in AI / ML
• Experience in creating Production services as an ML Engineer
• Experience with Data Science and Quantitative Analysis activities.

Will definitely be a plus:

• Experience with AI / ML services for marketing and sales: product recommendation, retention, customer segmentation, personalization, or others
• High personal interest in Quant, algorithmic strategies, Finance, DeFi
• Experience with creating and supporting algorithmic strategies, including their risk management
• Experience in systematically monitoring and evaluating the performance of AI/ML solutions with a set of KPIs
• Experience with Agentic AI: multi-agent systems, complex prompt engineering, LLM finetuning
• Experience with documenting solution architecture and experiment reports
• Experience with Research & Development projects
• Experience in AI / ML startups or personal pet projects

What’s in it for you?

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

You will be involved into:

• Perform extensive ML and Data Science research for new AI / ML solutions
• Develop new AI / ML solutions and participate in the architecture definition
• Support and upgrade current AI / ML solutions used in Production

About the company and project:

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

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

Namecheap has been on the market for 25+ years and is the 2nd largest domain registry in the world. We are the Namecheap Machine Learning Team.

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

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

Hi!

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

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

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

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

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

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

Requirements:

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

• Upper-Intermediate level of English is mandatory;

  
  Certifications obtained (mandatory):

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

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

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

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

Key Responsibilities:

Generative AI Development:

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

AI/ML Engineering:

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

Infrastructure and Operations:

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

Preferred Qualifications:

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

Employment Options:

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

Benefits:

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

Are you passionate about safeguarding countries, societies, and businesses from information threats? Look no further! Our rapidly scaling company is passionately committed to this crucial mission, offering you a unique opportunity to collaborate with some of the world’s most influential organizations, including NATO and the EU. As a Ukrainian team, we are determined to deliver substantial and meaningful change.

If you’re ready to join a dynamic team working toward a safer digital world, we invite you to be part of our journey. Shape the future with us and help defend against online threats with purpose and innovation.

Role Overview

We’re looking for a Senior AI Engineer with a solid engineering background and hands-on AI experience. In this role, you will help design and implement innovative AI-powered solutions that are core to our platform’s mission. You’ll work across the stack to build and integrate AI capabilities that are both scalable and practical.

You won’t need to build everything from scratch, but you’ll need the skills to fine-tune, adapt, and creatively apply state-of-the-art models and tools to solve real-world problems. Your responsibilities will range from working on backend services to shaping AI agents and LLM-based pipelines for production use.

Key Responsibilities

• Understand business challenges and generate innovative ideas to address them using AI and machine learning.
• Research, evaluate, and adapt existing deep learning and machine learning models for practical applications.
• Develop and maintain services for data enrichment using LLMs
• Implement AI-powered summarization and mapping tools
• Design and build AI agents for dynamic use cases
• Monitor industry advancements and identify opportunities to leverage the latest tools and techniques.

Requirements

Engineering Skills:

• Strong Python skills
• Experience with FastAPI, Docker, and asynchronous programming
• Good knowledge of DBs, including PostgreSQL and Elasticsearch

AI Skills:

• At least 3+ years of hands-on experience in AI/ML (more is a plus)
• Experience working with LLMs, RAG, and AI agents in production
• Strong understanding of transformer architectures
• Practical experience with prompt engineering
• Knowledge of LLM infrastructure and deployment
• Experience with deep learning frameworks such as PyTorch or TensorFlow

We Offer

• Opportunity to contribute to a mission-driven startup and support prestigious clients, including governments worldwide, enterprise clients, and leading NGOs in addressing information threats and tackling security challenges.
• Autonomy and freedom to drive experiments and bring your own ideas to life.
• Flexibility of fully remote work.
• Flexible, unlimited time-off policy.

Overview
We are seeking an experienced and hands-on Databricks Specialist to join our partner’s team. In this role, you will be responsible for auditing current workloads and engineering robust, efficient data-processing pipelines across the Bronze, Silver, and Gold layers of the medallion architecture.

Key Responsibilities

• Audit existing Databricks workspaces, notebooks, and jobs to ensure performance, security, and cost-efficiency.
• Design and build modular batch and streaming sub-pipelines that land, cleanse, enrich, and publish data as physical tables across all medallion layers.
• Implement robust exception handling, alerting, and automated rollback/retry mechanisms.
• Create comprehensive documentation, reusable code samples, and lead knowledge transfer sessions for data engineers and analysts.

Required Skills & Experience

• 4+ years of experience building production-grade ETL/ELT pipelines on Databricks (Spark 3.x, Delta Lake).
• In-depth knowledge of the medallion architecture, performance tuning (e.g., Optimize/Z-Ordering), and cost-effective cluster configurations.
• Proficiency in PySpark or Scala, along with advanced SQL skills — including job profiling and fine-tuning at the shuffle partition level.
• Demonstrated experience in building reliable pipelines with data quality checks, unit testing, and CI/CD (e.g., Databricks Repos, GitHub Actions, Azure DevOps).

Nice to Have

• Experience with Unity Catalog, serverless compute, or Databricks Photon.
• Relevant certifications such as Databricks Data Engineer Professional or Databricks Champion Enablement (DBCE).

Our client is a company that is one of the prominent providers of unique online slot games based in Spain. We are looking for AI Platform Engineer to join our team building internal tools for automation and analytics in slot game development.

Required skills:

Must-have:

• 3+ years of experience in developing internal tools/automation.
• Python 3.10+, FastAPI, async/await, typing.
• SQL/PostgreSQL (schemas, indexes, window functions, materialized views).
• SaaS API integrations (Atlassian preferred), webhooks, error handling.
• Docker (multi-stage builds, docker-compose), basic logging and monitoring.
• Hands-on experience with AI assistants (Copilot, Cursor, Claude Code) and a culture of code verification.

Responsibilities:

• Build integrations with Jira, Confluence, Slack: REST API, webhooks, OAuth2; normalize and load data into PostgreSQL.
• Create dashboards (onboarding, lead time/throughput, workload, overdue tasks, AI automation impact) in Metabase/Superset or lightweight React panels.
• Develop small backend services: FastAPI endpoints, schedulers, alerts; handle rate limits, retries, and idempotency.
• Support the ML team: prepare datasets for RAG/vector search, collect telemetry on AI feature usage.
• Use AI assistants (Copilot, Cursor, Claude Code) for prototyping, refactoring, and test generation — always with proper verification.

• Write short documentation (README, ADR) together with tech/UX writers.

   

Сompanу offer:

• Work on impactful internal tools that directly improve team efficiency.
• Opportunity to actively use AI assistants and be at the forefront of AI-driven development.
• Modern tech stack.
• Flexible schedule and remote-first culture.

The Role

We’re looking for a Senior ML Research Engineer to lead the design, implementation, and optimization of large-scale models powering intelligent agents. Your role spans model architecture, shipping, and production monitoring.

Key Responsibilities

• Conduct cutting-edge research on agentic AI systems — exploring new methods in reasoning, memory, planning, and multi-agent collaboration — and translate findings into production-ready prototypes.
• Design, fine-tune, and evaluate large language models and neural networks for modular agent behavior
• Build robust ML pipelines (data ingestion, feature engineering, model training, serving, monitoring) 
• Implement evaluation frameworks, A/B testing, and performance metrics to quantify agent effectiveness
• Ensure reproducibility, traceability, and compliance across ML lifecycle
• Collaborate with backend engineers to define inference service SLAs and efficient real-time ML delivery
• Mentor junior ML teammates and establish team-level best practices

Requirements

• 5+ years as an ML Engineer or applied ML researcher with production model deployment experience
• Strong Python skills, experience with ML frameworks (TensorFlow, PyTorch) and LLM tooling (HuggingFace)
• Familiarity with data pipelines, SQL, cloud platforms (AWS)
• Solid understanding of model evaluation, A/B testing, and ML performance metrics
• Excellent collaboration skills with product, backend, and data teams

Nice to Haves

• Prior work with conversational agents, retrieval-augmented generation, or multi-model orchestration
• Experience with vector search stacks (e.g. Pinecone, FAISS)
• Reinforcement Learning experience
• Startup experience and ability to navigate ambiguity and shape technical direction

Why You Should Join

• Competitive equity & pay - get in early and own what you build.
• Work closely with experienced founders with a proven startup track record.
• Move fast, ship fast - no corporate bureaucracy.
• Shape the AI revolution in healthcare - massive market, untapped potential