Jobs

We’re Hiring: Junior + / Middle LLM Engineer

We're Accellabs, a team of engineers and researchers who create products based on the latest AI technologies. Our focus is innovation in AI and the integration of LLM into real-world products.

Tasks:

• Developing solutions based on LLM and other generative AI, including building chatbots, agents or internal services.
• Building systems using supervised fine-tuning, retrieval augmented generation, inference optimisation techniques and technologies, agentic frameworks, vector databases.

What We’re Looking For:

• At least 1-2 years of experience in Python ML/AI/LLM Engineering or Python Backend (on AI projects);
• Familiarity with HuggingFace infrastructure and agentic AI frameworks;
• Understanding of the principles of neural networks, transformer architecture, LLM, AI agents.
• Experience with FastAPI/Flask for model deployment;
• Sufficient level of English (B2) (reading documentation + technical communication)

Additional Advantages:

• Experience in building Telegram bots or AI assistants;
• Knowledge of Docker, application deployment methods, and experience in writing tests;
• Experience with HuggingFace infrastructure and agentic AI frameworks;
• Understanding of CI/CD, MLOps, MCP concepts.

What We Offer:

• 100% remote — work from anywhere
• Participation in top AI projects that will go into production
• Opportunity to participate in shaping the architectural vision and technology selection
• Flexible working hours

Hiring Process:

1. Tech Screening (30 mins)
2. Offer Call (15 mins)

Do you want to develop AI systems that truly change the user experience?
📩 Apply now and let’s build something amazing together!

Ми приймаємо на роботу: Junior + / Middle LLM Engineer

Ми — Accellabs, команда інженерів та дослідників, що створюють продукти на основі новітніх технологій штучного інтелекту. Наш фокус — інновації у сфері AI та інтеграції LLM у реальні продукти.

Завдання:

• Розробка рішень на базі LLM та іншого generative AI зокрема побудова чат-ботів, агентів або внутрішніх сервісів
• Побудова систем із застосуванням методик supervised fine-tuning, retrieval augmented generation, inference optimization та технологій, agentic frameworks, vector databases

Вимоги:

• Досвід у Python ML/AI/LLM Engineering або Python Backend (на AI проектах) від 1–2 років
• Знайомство з інфраструктурою HuggingFace та фреймворками agentic AI
• Розуміння принципів роботи нейронних мереж, transformer architecture, LLM, AI-агентів
• Досвід з FastAPI / Flask для розгортання моделей
• Достатній рівень англійської (B2) (читання документації + тех. спілкування)

Додаткові плюси:

• Досвід створення Telegram-ботів або AI-асистентів
• Знання Docker, методів деплою застосунку та досвід у написанні тестів
• Досвід роботи з інфраструктурою HuggingFace та фреймворками agentic AI
• Розуміння концепцій CI/CD, MLOps, MCP

Ми пропонуємо:

• 100% віддалено - працюйте з будь-якого місця
• Участь у топових AI-проєктах, які підуть в продакшн
• Можливість брати участь у формуванні архітектурного бачення та вибору технологій
• Гнучкий графік роботи

Процес найму:

1. Технічний скринінг (30 хвилин)
2. Дзвінок з пропозицією (15 хвилин)

Хочеш розробляти AI-системи, які справді змінюють користувацький досвід?
📩 Подавай заявку зараз, і давай створимо щось дивовижне разом!

We’re looking for a Senior Deep Learning Engineer to join Anadea’s rapidly growing ML/DL team. You’ll be working on an innovative Scandinavian fintech project, where AI is central to product strategy. This role offers direct communication with the client and an opportunity to influence business decisions through cutting-edge ML/DL solutions.

This position is ideal for someone with a strong track record in delivering deep learning solutions, who enjoys technical challenges and is eager to shape products that make a real impact. You’ll contribute both technically and strategically—designing, building, and optimizing models, while also helping guide the AI roadmap.
 

What You’ll Do:

• Lead development of ML/DL solutions from research to production.
• Design and train models for NLP, CV, and GenAI use cases.
• Build and optimize AI pipelines, including RAG systems and LLM fine-tuning.
• Collaborate directly with stakeholders, aligning AI work with real business needs.
   

Must Have:

• Proven experience delivering AI solutions end-to-end.
• Strong expertise in Python and either PyTorch or TensorFlow.
• Solid understanding of machine learning and deep learning fundamentals.
• Hands-on experience with NLP and/or computer vision architectures.
• Excellent communication skills and the ability to present ideas to both technical and non-technical stakeholders.
   

Nice to Have:

• Experience with AI Agents, multimodal models, or RAG pipelines.
• Background in model optimization (quantization, distillation, pruning).
• Familiarity with MLOps, cloud services (AWS, Azure, GCP).
• Experience contributing to the community (open-source, conferences, publications).
• Leadership experience: mentoring, code reviews, technical ownership.
   

What We Offer:

• Fintech with purpose: Direct input into a Scandinavian financial product with real-world impact.
• Tech-First Environment: Work on LLMs, Vision Transformers, GenAI, and complex AI systems.
• Direct Stakeholder Collaboration: Shape business and product strategy with your ideas.
• Growth & Recognition: Support for speaking at conferences, writing publications, or showcasing your work.
• Best-in-Class Hardware: Access to A6000/RTX

Key Responsibilities

Cross-Functional Collaboration

• Partner with Product teams to implement model changes, performance optimizations, and feature enhancements based on business requirements
• Conduct model tuning sessions with Product stakeholders to align AI capabilities with user experience goals
• Engage with various stakeholders to gather specifications, define technical requirements, and establish project scope for AI/ML initiatives
• Facilitate requirement-setting sessions with business teams to translate functional needs into technical AI/ML solutions

Technical Development & Production

• Collaborate closely with Senior Data Scientists to transition experimental model prototypes into robust, production-ready systems
• Participate in code reviews and technical discussions to ensure models meet scalability, performance, and reliability standards
• Support the productionization process including model deployment, monitoring, and maintenance workflows

Core AI & Machine Learning Skills

AI Fundamentals

• Proficiency in basic prompt engineering techniques and best practices for optimizing AI model interactions
• Experience with Large Language Model (LLM) API integration and usage across various platforms
• Hands-on experience with model finetuning processes to adapt pre-trained models for specific use cases
• Knowledge of model distillation techniques to create efficient, lightweight models from larger architectures

Natural Language Processing

• Working knowledge of embedding models and their applications in text analysis
• Experience implementing semantic analysis solutions for content understanding and similarity matching
• Proficiency in batch processing workflows for large-scale NLP tasks and data pipeline management

Data Science & Analytics

Statistical Foundation

• Solid understanding of hypothesis testing methodologies and statistical significance evaluation
• Experience with regression analysis techniques for predictive modeling and trend analysis
• Knowledge of classification algorithms and their appropriate use cases
• Familiarity with decision tree models, including implementation and interpretation

Technical Skills

Programming Languages

• Must have: Proficiency in Python for data science, machine learning, and automation tasks
• Nice to have: Working knowledge of Ruby for web development and scripting applications

Infrastructure & Data Management

• Experience with Amazon Web Services (AWS) cloud platform and core services
• Basic database management skills including query optimization and data modeling
• Understanding of software engineering principles including version control, testing, and deployment practices

Experience Level

This role is suitable for candidates with 2-4 years of relevant experience or new graduates with strong academic background and demonstrated project experience in AI/ML applications.

Preferred Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field
• Portfolio of projects demonstrating practical application of the above technologies
• Experience working in collaborative development environments
• Strong problem-solving skills and ability to learn new technologies quickly
• Excellent communication skills for cross-functional collaboration with technical and non-technical stakeholders

Key Responsibilities

Cross-Functional Collaboration

• Partner with Product teams to implement model changes, performance optimizations, and feature enhancements based on business requirements
• Conduct model tuning sessions with Product stakeholders to align AI capabilities with user experience goals
• Engage with various stakeholders to gather specifications, define technical requirements, and establish project scope for AI/ML initiatives
• Facilitate requirement-setting sessions with business teams to translate functional needs into technical AI/ML solutions
   

Technical Development & Production

• Collaborate closely with Senior Data Scientists to transition experimental model prototypes into robust, production-ready systems
• Participate in code reviews and technical discussions to ensure models meet scalability, performance, and reliability standards
• Support the productionization process including model deployment, monitoring, and maintenance workflows
   

Core AI & Machine Learning Skills

AI Fundamentals

• Proficiency in basic prompt engineering techniques and best practices for optimizing AI model interactions
• Experience with Large Language Model (LLM) API integration and usage across various platforms
• Hands-on experience with model finetuning processes to adapt pre-trained models for specific use cases
• Knowledge of model distillation techniques to create efficient, lightweight models from larger architectures
   

Natural Language Processing

• Working knowledge of embedding models and their applications in text analysis
• Experience implementing semantic analysis solutions for content understanding and similarity matching
• Proficiency in batch processing workflows for large-scale NLP tasks and data pipeline management
   

Data Science & Analytics

Statistical Foundation

• Solid understanding of hypothesis testing methodologies and statistical significance evaluation
• Experience with regression analysis techniques for predictive modeling and trend analysis
• Knowledge of classification algorithms and their appropriate use cases
• Familiarity with decision tree models, including implementation and interpretation
   

Technical Skills

Programming Languages

• Must have: Proficiency in Python for data science, machine learning, and automation tasks
• Nice to have: Working knowledge of Ruby for web development and scripting applications
   

Infrastructure & Data Management

• Experience with Amazon Web Services (AWS) cloud platform and core services
• Basic database management skills including query optimization and data modeling
• Understanding of software engineering principles including version control, testing, and deployment practices
   

Experience Level

This role is suitable for candidates with 2-4 years of relevant experience or new graduates with strong academic background and demonstrated project experience in AI/ML applications.
 

Preferred Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, or related technical field
• Portfolio of projects demonstrating practical application of the above technologies
• Experience working in collaborative development environments
• Strong problem-solving skills and ability to learn new technologies quickly
• Excellent communication skills for cross-functional collaboration with technical and non-technical stakeholders

Vidar Systems is an acoustic technology startup at the cutting edge of defense and security solutions. We employ retail hardware components to build military-grade systems that redefine acoustic weapon locating in terms of affordability, efficiency, and reliability. Our team is globally distributed, with primary activities and production based in the heart of Ukraine – Kyiv.

About the Role:
Become a core member of our lean, high-impact engineering team and help shape Ukraine’s defensive edge through data. In this role, you’ll be responsible for managing and transforming large volumes of acoustic and telemetry data to fuel machine learning models deployed in mission-critical systems. You will own the data workflows that directly support our next-generation AI-based battlefield sensing technologies.

What You’ll Do:

• Build and maintain robust pipelines for ingesting, transforming, and storing structured and unstructured acoustic data.
• Develop scalable solutions for data labeling, augmentation, validation, and monitoring.
• Collaborate closely with ML researchers to optimize dataset quality, feature representation, and data curation for deep learning.
• Manage datasets across different environments, ensuring consistency, versioning, and reproducibility.
• Create tooling and dashboards to visualize data quality and pipeline performance.
• Identify patterns and extract insights from data to enhance existing models or develop innovative features.

What You Need:

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Applied Math, or related field.
• 2+ years of experience in data engineering roles, ideally within ML/AI-driven teams.
• Strong Python skills, with experience in building and managing ETL/ELT pipelines.
• Hands-on with tools like Airflow, Prefect, Luigi or similar orchestration frameworks.
• Familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with data versioning and lineage tools (e.g. DVC, MLflow, Weights & Biases).
• Proficiency in data processing libraries: Pandas, NumPy, Dask.
• Strong communication and collaboration skills; ability to work independently in high-stakes contexts.
• Technical English (documentation, code comments, communication in distributed team).

Nice to Have:

• Experience working with audio or time-series data.
• Exposure to C/C++ or embedded systems environments.
• Background in acoustic signal processing or related domains.
• Familiarity with DevOps tools (Docker, Kubernetes, CI/CD) and cloud infrastructure (AWS/GCP).

Our Recruitment Process:

• Intro Call with Recruiter – 45 min
• Technical Interview with ML Lead and CTO – 90 min
• Test Task – 4–6 hours
• Final Interview – 60 min

Why Join Us?

• High Autonomy: You’ll be trusted to lead key systems and make your mark on our data stack.
• Meaningful Work: Your pipelines will feed models that support real soldiers on the front line.
• Innovation at the Edge: Help us redefine how machine learning operates in harsh, real-world acoustic environments.
• Flexible Format: We support hybrid/remote work with a bias toward impact over hours.

A centre of excellence (COE) is a team of senior tech experts who conduct research on the strategic tech trends, maintain top quality standards, foster professional development, and can provide you with expert consulting throughout the whole development process.

The CoE helps our clients to perform a Product Discovery Phase, build a prototype, and validate a product concept. The experts provide a client with a High-Level Architecture plan, the suggested technology stack, the product design, time and cost estimates, consulting, and a Work Breakdown Structure.

Now, we are looking for a skilled AI/ML specialist, preferably with some data science experience, who will contribute to establishing and continuously improving the AI/ML expertise in the CoE department and the company overall. The role is ideal for a professional capable of effectively researching, proposing, and implementing ML/AI solutions and strategies corresponding to clients’ needs.

Requirements

Must have

• 4+ years of experience as an ML engineer, AI specialist or a similar role
• Hands-on experience with AI technologies, including generative AI, computer vision, LLMs and/or others
• Proficiency in ML frameworks (Tensorflow, scikit or alternatives)
• Familiarity with deploying AI/ML models to cloud providers such as AWS or Google
• Knowledge of data visualisation tools
• Strong programming skills in Python
• Would be a plus: experience in web development
• Would be a plus: background in data science, data analytics or data engineering
• Would be a plus: education in a relevant field (mathematics, computer science, statistics, software engineering, etc.)
• Strong communication and presentation skills
• Upper-Intermediate spoken and written English
• Business-oriented mindset and ability to understand real goals of the client
• Ability to document solutions and share the knowledge effectively
• Would be a plus: Skills in team leadership or mentorship
• Would be a plus: Public speaking experience

Responsibilities:

• Train predictive models based on existing/historical data
• Post-train or fine-tune existing models (e.g. from HuggingFace) to achieve the requested functionality
• Build a prototype of an AI-driven analytics tool during the discovery phase
• Validate client’s idea and provide feedback on its possibility of implementation during pre-sales activities
• Prepare an estimation (time and cost) of the implementation of a particular project or feature
• Join and investigate an ongoing project with a purpose such as: consulting, development or super-vising a particular process.

Work Schedule

Full-time working day in our Lviv or Kyiv office (flexible hours) or full-time remote

Interview Stages

1. Call with Recruiter
2. Technical interview with Recruiter and Head of CoE

Our Benefits

Work from anywhere (fully remotely or in our offices in Lviv, Kyiv or Krakow)

Paid vacations and sick leaves, additional days off, relocation bonus

Education: regular tech talks, educational courses, paid certifications, English classes

About the Project

Join a high-performing UK-based product and cross-functional product team composed of top-tier engineers(PhD holders). We’re building an enterprise-grade data platform designed to integrate, process, and analyze vast amounts of disparate data in real-time.

This platform leverages cutting-edge technologies: Big Data, cloud-native architecture, AI-driven insights, and advanced database tooling to deliver deep operational visibility and power faster, smarter business decisions. We ensure scalability, traceability, and compliance (GDPR, HIPAA) through robust data lineage and governance features.

You’ll work mainly on AI services, having tight collaboration with backend developers to ensure seamless API integration. 

What You’ll Do

• Design and develop advanced AI components using LangChain, AutoGen, and other multi-agent orchestration frameworks
• Build and optimize RAG (Retrieval-Augmented Generation) pipelines using tools like Google AI Platform, Vertex AI and Pinecone.
• Engineer efficient prompts and fine-tune LLMs (e.g., GPT-4o, DeepSeek) for advanced data analytics capabilities
• Develop AI-related backend services using Python and FastAPI
• Deploy scalable solutions in Google Cloud Platform (GCP), working with services such as BigQuery, GKE, Cloud Storage, etc.

• Collaborate with backend and data engineering teams to integrate and expose AI functionality via well-structured APIs

   

Must-Have Skills

• 5+ years of experience in backend and AI system development
• Strong hands-on experience with LangChain, AutoGen, and multi-agent frameworks
• In-depth knowledge of LLMs, prompt engineering, NL2SQL, and RAG architectures
• Proficient in Python and FastAPI
• Proven experience with GCP services: Vertex AI, BigQuery, GKE, Cloud Storage
• Experience building production-grade RAG pipelines

• Excellent problem-solving and communication skills

   

Nice-to-Have

• Experience working with data engineering and DevOps tools
• Familiarity with data governance frameworks and compliance standards (GDPR, HIPAA)

• Exposure to real-time processing and scalable architecture patterns

   

Why Join Us

• Work with a world-class team on a cutting-edge AI and data platform
• High-impact role with room for innovation and growth
• Flexible schedule and remote-friendly setup
• Competitive compensation
• Collaborative, growth-oriented culture
• Engage in technically challenging, meaningful projects

About Busy RebelAt Busy Rebel, we aim to redefine the technology and innovation landscape, creating a distinctive ecosystem of exceptional talents while fostering ownership, inclusion, and diversity. We aim to catalyze societal and technological evolution by empowering tech entrepreneurs to challenge norms and spearhead change.

Busy Rebel aims to forge unparalleled partnerships, driving global impact through creative rebellion. We commit to being the trusted ally that amplifies visions with expert insight and inventive strategies, fostering a community of disruptive thinkers for technological empowerment and societal betterment. Every partnership and project is a step toward a more interconnected and enlightened world.

Be part of a company where every day is an opportunity to learn, challenge, and transcend the ordinary. Your journey with Busy Rebel is not just a career; it’s a pivotal chapter in the larger story of technological revolution and societal evolution. Join us, and let’s build the future together.
 

🔎We are looking for a skilled AI Developer to join a proof-of-concept project focused on building an AI-powered assistant for business analytics. The solution will connect directly to client APIs or databases, build semantic data models, and deliver contextual insights through a chat interface. You'll be joining at an early stage, working alongside a PM and designer, with opportunities to shape the product architecture and influence technical decisions.

🌏Client: Сanada.
⏳Engagement: Full-time, ~1 month (with a possibility of extension)
🌏 Location: Remote (with availability for meetings between 16:00–18:00 CET)

English Level: Upper-Intermediate (B2)+

⭐Team: You will work in a small, agile team directly with the Lead Engineer.

🚀Responsibilities: 

• Design and implement AI-driven features, focusing on semantic data understanding and LLM integration;
• Integrate various APIs and data sources into a unified backend system;
• Develop data pipelines for aggregation and transformation;
• Work with large language models to enable contextual Q&A functionality;
• Collaborate with the team to define system architecture and product direction;
• Ensure secure, scalable, and high-performance implementation;
• Participate in daily stand-ups and weekly demo sessions with the client.
   

 📋  Requirements:

• 2+ years of experience in backend or full-stack development;
• Proficiency in TypeScript, React.js, and Node.js;
• Strong experience with relational databases (MySQL, PostgreSQL);
• Solid understanding of RESTful APIs and secure API integrations;
• Experience with Redis and modern cloud infrastructure (AWS or GCP);
• Proven experience using LLMs (usage, fine-tuning, monitoring);
• Practical knowledge of Langchain and LangGraph;
• Experience with semantic search, embedding models, and vector databases;
• English proficiency at Upper-Intermediate level or higher;

• Strong delivery mindset and ability to work independently in a fast-paced environment.

   

  ✅ Nice to Have:

• Experience building or integrating ITL pipelines;
• Familiarity with GraphQL;
• Previous experience in proof-of-concept or early-stage product environments;
• Ability to collaborate directly with technical stakeholders;

• Product-oriented mindset and proactive communication style.

   

  👥 Team & Process:

• From our side: PM and Product Designer;

• Daily stand-ups and 1–2 demos per week with the client.

   

  🟠 Interview process:

• Introductory call;
• Technical interview with our engineers.

Samsung R&D Institute Ukraine (SRUKR) is looking for ML / Computer Vision engineer who wants to apply theoretical knowledge and practical skills to participate in solving Human-Robot Interaction challenges in rapidly evolving Vision AI domain. The position will involve different aspects of R&D including — research, analysis, prototyping, development and commercialization support of the innovative technologies. Resulting solutions are targeted on Samsung products and services reaching millions of users worldwide.
 

Required skills / expertise:
 

• Bachelor’s (or higher) degree in computer science, math, statistics, or related field
• 3+ years of experience in conventional and ML/DL based image processing and computer vision
• Practical experience in custom NN-architecture development, training and evaluation
• Strong theoretical knowledge and practical skills in computer vision algorithms (OpenCV)
• Solid Python programming skills (numpy, pandas, matplotlib)
• Knowledge in linear algebra, probability, optimization, and 3D geometry
• Proficiency in math, algorithms and data structures
• Experience with object-oriented design and development
• Basic C++ knowledge
• Understanding research methodologies and S/W development lifecycle
   

Would be a plus:
 

• Pet projects portfolio that includes — object detection/recognition/tracking, key-points detection and tracking, semantic/instance segmentation, etc.
• Experience with vision transformer, vision encoder-decoder architectures
• Experience with model optimizations for on-device inference (ONNX-runtime, TFLite, SNPE)
• Experience in embedded systems development (Android/Linux)
• Experience with CPU/GPU profiling tools
• Cross-cultural experience and working English to feel confident in the international team
• Participation in CV/ML/DL-intensive research (papers, competitions, patents, etc...)
   

Key Responsibilities:
 

• R&D activities in CV based Human Understanding domain (person/face detection, recognition and tracking, 2D/3D skeleton detection, activity and gesture recognition, etc).
• Design NN-based solutions and train required ML/DL models
• Optimize algorithms & ML/DL models / their inference and size
• Transfer models and solutions to the edge devices using appropriate frameworks (ONNX, TFLite, SNPE, etc)
• Participate in design process of system architecture
• Collaborate with other R&D engineers worldwide to improve product quality with the latest industry trends in relevant technologies
• Maintain and support existing solutions and services
• Develop demo applications for various platforms
• Opportunity to participate in publication and patent activities
   

Working Conditions:
 

• GIG contract
• remote work is possible as well as work in Kyiv office
   

Benefits:
 

• competitive salary, annual salary review, annual bonuses
• paid 28 work days of annual vacations and sick leaves
• opportunity to become an inventor of international patents with paid bonuses
• medical & life insurance for employees and their childrens
• paid lunches
• discounts to Samsung products, services
• regular education and self-development on internal courses and seminars
• hybrid work format, working in office is required for some tasks

What We Offer:
 

• Competitive base salary.
• Performance-based bonuses for organic traffic and sales.
• Engaging and challenging work in a startup environment.
• Remote work or a comfortable office near a metro station in Kyiv.
• 24 working days of vacation and 10 paid sick leave days per year.
  
  We are looking for a Junior AI Automation Developer to build custom workflows for sales, HubSpot, marketing, research, analytics, web data scraping, and internal process automation. You'll be implementing clear tasks in tools like n8n and Make, working closely with the team that defines the logic.
   

Responsibilities:

• Develop and maintain automation workflows in n8n, Make, and similar platforms.
• Build integrations between CRM (HubSpot), marketing tools, research data sources, and internal systems.
• Implement web data scraping and data structuring solutions.
• Collaborate with the team to transform business needs into automated processes.
• Monitor and troubleshoot existing workflows to ensure stability and performance.
• Document workflows and processes for internal use.

Requirements:

• 6+ months of experience with no-code/low-code automation tools (n8n, Make, Zapier or similar).
• Understanding of APIs, webhooks, and data flows between systems.
• Strong interest in AI-powered automation, data structuring, and workflow optimisation.
• Experience with web scraping (any tools or languages — e.g. Python, Puppeteer, Playwright — will be a plus).
• Basic understanding of CRM systems (preferably HubSpot) is a plus.
• Analytical mindset and attention to detail.
• English — Intermediate level or higher (for reading documentation and communication inside the team).
• Willingness to work full-time.

Develux is an IT software development company operating since 2014, focused on the US market with 250+ professionals. One of our core business units operates in the EdTech domain, offering academic writing services to students worldwide. We’re committed to expanding the platform’s functionality and content quality, improving user experience and business performance.
 
We’re seeking a AI Content Creator to produce high-quality, SEO-optimized content. You will work closely with SEO specialists and ORM specialists to ensure content is accurate, valuable, and consistent with our tone of voice. The ideal candidate is creative, flexible, research-driven!
 
Responsibilities

• Generate articles using AI tools based on provided topics and briefs;
• Proofread and edit AI-generated content for clarity, tone, and grammar;
• Optimize texts using basic SEO principles;
• Adjust content according to internal guidelines;
• Select and add relevant images to articles;
• Follow deadlines and task requirements precisely.

Work Experience:

• 1.5+ years of experience in copywriting, content creation, or related fields
• 1+ year of experience working with AI writing tools
• Previous work with SEO-optimized texts is highly desirable

Required Skills & Qualifications

• Strong skills of working with AI tools for generating text content;
• Understanding of basic SEO for content;
• Proficiency in content editing;
• B2–C1 level of English (writing-focused).

Additional Skills:

• Content literacy – ability to understand, structure, and improve written content
• SEO awareness – basic understanding of how search engines evaluate and rank content
• Editing skills – ability to spot inconsistencies, repetitions, and awkward phrasing
• Time management – capacity to prioritize tasks and deliver results on time
• Technical adaptability – openness to using AI tools and learning new digital platforms
• Analytical thinking – can evaluate content quality based on guidelines and make appropriate improvements
• Initiative – readiness to ask questions, clarify requirements, and improve drafts proactively

 Questions and Answers:
- Does the job come with a probation period, and if so, how long does it last?Yes, there is a three-month probation period.
- What is the expected work schedule?
Full-time, flexible, please start no later than 11:00 (on average 8 hours per day). The office in Kyiv is open from 9:00 to 20:00. You can work remotely and also you can choose hybrid mode where you can combine working on-site and remotely.
- How many vacation and sick days are provided?
Annual paid vacation – 21 working days; Paid confirmed sick leave; 6 unconfirmed sick days/days off a year.

What social package and benefits are offered?
- English courses (up to 80 USD/month after successful completion of the probation period)
- Compensation for the cost of a subscription sports center (up to 80 USD/month after successful completion of the probation period)
- Medical insurance (50% after successful completion of the probation period) or $200 a year for health care
- Corporate events

Hiring process:
- HR-call with Recruiter
- Test task
- Interview with the Hiring manager (1 hour)
- Reference check
- Proposal for cooperation with Develux

Please note that feedback with the results of the CV review will be provided only in the event of a decision to further consider your candidacy.
Otherwise, your data will be retained in the company's CV database, and we will gladly contact you if a suitable vacancy becomes available. The consideration period is 10 working days.

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

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

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

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

We offer our employees:

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

About the Role:

We are looking for a skilled and proactive AI Solutions Specialist with a strong technical background and experience in product management to lead the design and implementation of software solutions leveraging Generative AI technologies. You will play a key role in translating business needs into technical solutions, shaping product architecture, and ensuring smooth collaboration between stakeholders, developers, and AI experts.

Key Responsibilities:

• Design end-to-end software solutions using Generative AI tools, platforms, and models.
• Act as a bridge between business requirements and technical implementation.
• Collaborate with product owners, developers, and data scientists to shape product vision and delivery.
• Analyze and document system requirements, workflows, and use cases.
• Review and understand code when needed to ensure alignment between design and implementation.
• Participate in change management and ensure traceability of decisions throughout the development lifecycle.
• Stay up to date with the latest developments in Generative AI platforms and frameworks (e.g., OpenAI, Hugging Face, LangChain).

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
• 3+ years of experience as a Product Manager, System Analyst, or Solution Designer in software development projects.
• Solid understanding of the full software development lifecycle (SDLC).
• Ability to read and understand code (e.g., Python, JavaScript).
• Proven experience in requirements gathering, documentation, and change management.
• Strong understanding of Generative AI mechanisms, tools, and platforms.
• Familiarity with prompt engineering and LLM fine-tuning.
• Excellent problem-solving, communication, and analytical skills.

Nice to Have:

• Hands-on experience with implementing AI-powered features or products.
• Experience working in Agile/Scrum environments.

FLH-Services is looking for an AI Engineer for our client — a forward-thinking UK-based tech company leveraging cutting-edge solutions to drive innovation.

Role Overview
We’re looking for a talented and pragmatic AI Engineer to join  growing engineering team. In this role, you’ll be responsible for designing, developing, and deploying AI and machine learning solutions that integrate seamlessly with our existing .NET architecture.

Key Responsibilities
• Design and implement AI/ML models to solve business problems (e.g. recommendation engines, predictive analytics, natural language processing, anomaly detection).
• Collaborate with .NET developers to integrate AI solutions into our platform.
• Research and evaluate new AI tools, frameworks, and best practices.
• Develop and maintain model pipelines, from data ingestion to deployment.
• Optimize models for performance, scalability, and accuracy.
• Work with data engineers and analysts to understand and prepare data for training and testing.
• Stay up to date with the latest AI research and trends, and identify opportunities to apply them.

Required Skills & Experience
• Proven experience as an AI/ML Engineer or Data Scientist.
• Strong programming skills in Python (or similar language used for ML).
• Solid understanding of machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Experience with deploying ML models into production environments.
• Familiarity with MLOps practices and tools (e.g. MLflow, Kubeflow, Azure ML).
• Understanding of cloud platforms, especially Azure.
• Experience integrating AI/ML solutions into .NET-based systems (e.g. via REST APIs, gRPC, or direct library use).
• Strong software engineering fundamentals—testing, version control, CI/CD, etc.

Nice to Have
• Experience working in .NET (C#).
• Familiarity with DevOps practices and containerization (Docker, Kubernetes).
• Background in NLP, computer vision, or deep learning.
• Understanding of data privacy and ethical considerations in AI.

What We Offer
• Competitive salary and benefits package
• Flexible working hours and remote-first culture
• Opportunity to shape AI capabilities within a modern tech stack
• A collaborative team with a strong engineering culture
• Continuous learning and development support

About the Role
 

We’re looking for a Prompt Engineer to support a client project involving AI-powered solutions using large language models (LLMs). In this contract role, you’ll work closely with our internal team and the client’s stakeholders to design, test, and refine prompts that improve the quality and consistency of AI outputs across various use cases.
This is a flexible, remote engagement ideal for someone who is self-directed, experienced with LLMs, and comfortable working in a fast-paced, project-based environment.

Responsibilities:
 

• Collaborate with the client to understand product needs and user workflows
• Design structured, high-performing prompts tailored to specific tasks (e.g., content generation, summarization, classification, chat interactions, etc.)
• Conduct iterative testing and analysis of prompt outputs for accuracy, tone, and task alignment
• Provide prompt optimization strategies and insights based on results
• Use tools such as OpenAI API, LangChain, Pinecone, or similar to prototype and refine solutions

• Deliver well-documented prompt workflows and usage guides for client handoff

   

Qualifications:

• Proven experience working with large language models (e.g., GPT-4, Claude, Gemini, or similar)
• Strong skills in Python and working with REST APIs
• Familiarity with AI prompt engineering techniques (zero-shot, few-shot, chain-of-thought)
• Ability to translate client goals into actionable AI workflows
• Experience working independently and managing client deliverables and timelines

Nice to Have

• Familiarity with tools like LangChain, LlamaIndex, or Hugging Face
  Transformers
• Background in UX writing, copywriting, or technical documentation
  Understanding of vector search, embeddings, or chatbot design
• Prior consulting or freelance experience