Jobs

Star is launching the AI Innovation Hub, an R&D, Design, Engineering, and Scaling powerhouse that will focus on guiding enterprises within the AdTech, HealthTech, Automotive & FinTech spaces on their journey to adopt AI to create new ways of working and disruptive user experiences.

The lab will primarily focus on introducing new AI capabilities to Star's service portfolio, conducting R&D activities to apply AI to the company's internal processes, fostering a community of AI enthusiasts, building collective knowledge and expertise on AI, and collaborating with the commercial organization to promote the service to new and existing clients. 

We are looking for you!

We are looking for an AI Engineer (Research & Development). As an AI Engineer, you will join the R&D team working on AI products and help scale the AI offering through marketing activity.

Skills and experience you can bring to this role!

Qualifications & experience:

• You are particularly interested in emerging AI tech, LLMs, and generative AI. You follow the news, new developments, and academic research. You are excited about its potential impact on product development in the upcoming years;
• You are interested in going beyond the technical side. You could work as a consultant, demonstrate an understanding of business and product aspects, and generate product ideas;
• You understand and can explain how business value could be generated out of the use of AI technologies;
• You have built ML/AI powered solutions and used available services & tools and/or built bespoke ML models/solutions;
• You've investigated the practical application of generative AI/LLMs through pet projects and PoCs, exploring ready-to-go products, and you can demonstrate or discuss the output;
• You have experience in LLMs/SLMs assessment, selection, and fine-tuning for the specific use case;
• You enjoy writing code, preferably in Python and have 3+ years of experience in commercial development;
• You know what prompt engineering, vector databases, embeddings, multi-stage reasoning, RAG, and MLOps are, and you have had a practical (could be non-commercial) experience with some of the listed things;
• You enjoy communication and can talk to both technical and non-technical stakeholders.

Nice to have: 

• You have previous experience in data engineering;
• You are active in the growing AI community, attend webinars, events, and meetups, or are interested in becoming active;
• You have some front-end experience building simple UIs to demonstrate solutions end-to-end or are open to gaining such;
• You are interested in developing a personal brand through participation in content creation in collaboration with marketing & AI Lab.

What impact you’ll make

• Participate in research and development activities by working on Star's internal AI products;
• Create proof of concepts for our clients and prospects, focusing on applying AI technologies;
• Monitor and research changes in the AI developer ecosystem and approaches and apply them in practice to develop Star's AI capabilities;
• Participate in client calls during late sales cycle stages, present technical expertise, and help build solutions; 
• Act as a subject matter expert on AI to assist with Star's marketing and branding efforts.

What you’ll get

Regardless of your position or role, we have in place a wide array of benefits including flexible working (hybrid/remote models) and generous time off policies to make it easier for all people to thrive and succeed at Star. On top of that, we offer an extensive rewarding and compensation package, intellectually and creatively stimulating space and some more.

Your holistic wellbeing is central at Star. You'll join a warm and vibrant multinational environment filled with impactful projects, career development opportunities, mentorship and training programs, fun sports activities, workshops, networking and outdoor meet-ups.

We are looking for a passionate ML Engineer to implement AI solutions aimed at achieving business goals (CLAi automates a multitude of business operations simple and complex alike. That includes document reading, data entry, CRM management, calendar scheduling, and automated appointment booking.).

This role offers the opportunity to work on cutting-edge project and collaborate with a team of talented researchers and engineers in a stimulating and dynamic environment.

Minimum qualifications (must have hands-on experience with all of the below):

- LLMs (generation, alignment, extraction)

- Supervised fine-tuning (SFT) on ≥7B models with PEFT (LoRA/QLoRA) and full fine-tunes.

- Preference optimization (DPO/ORPO/PPO/RLAIF), rejection sampling, reward-model training.

- Constrained/structured decoding (regex/CFG/JSON-Schema), logit biasing, n-gram blocking, spec decoding.

- Distillation/compression (teacher-student, pruning, quant-aware training).

- RAG modeling side: dual-encoders, cross-encoders/rerankers (e.g., ColBERT/SPLADE), hard-negative mining.

Speech (ASR/diarization/VAD; optional TTS):

- Fine-tuning Conformer/Transducer/CTC or Whisper/wav2vec2/HuBERT on domain audio, incl. streaming/chunking.

- Robust segmentation (VAD), diarization (x-vectors/ECAPA-TDNN), punctuation & inverse text normalization.

- Data augmentation (SpecAugment, speed/tempo, noise/reverb), forced/CTC alignment and lexicon handling.

Data & evaluation:

- Large-scale corpus building: language ID, dedup/near-dedup (LSH/MinHash), toxicity/PII filters, perplexity/quality filters.

- Golden sets & adversarial suites; metrics for WER/CER, entity F1, extraction validity, factuality/hallucination, helpful-harmlessness.

- Reproducible experiments: seeds, checkpoints, ablations, learning-curve analysis, compute budgeting; crisp experiment reports.

Systems for training (efficiency)

- Distributed/memory-efficient training with FSDP/DeepSpeed ZeRO, gradient checkpointing, mixed precision, packing/bucketing, sequence-length curricula.

- Dataset pipelines: HF Datasets, WebDataset, streaming Parquet/TFRecords; tokenizer optimization and dataset QA.

Core foundations

- Solid math (linear algebra, probability, optimization) and ability to reason about loss design and bias/variance.

- Expert PyTorch (or JAX), custom modules/losses, profiling (cProfile/torch.profiler), multi-GPU runs.

- Habit of rigorous evals with automated harnesses and regression gates.

Nice to have

- Preference optimization at scale (PPO/DPO), safety classifiers.

- Quantization (GPTQ/AWQ/INT8) with minimal quality loss; ONNX/TensorRT; Triton/CUDA kernels.

- Multilingual modeling, phonetic/lexicon work for low-resource accents.

- Active learning & data programming (cleanlab/Snorkel).

We are looking for an AI Engineer (Research & Development). As an AI Engineer, you will join the R&D team working on AI products and help scale the AI offering through marketing activity.

Skills and experience you can bring to this role!

Qualifications & experience:

• You are particularly interested in emerging AI tech, LLMs, and generative AI. You follow the news, new developments, and academic research. You are excited about its potential impact on product development in the upcoming years;
• You are interested in going beyond the technical side. You could work as a consultant, demonstrate an understanding of business and product aspects, and generate product ideas;
• You understand and can explain how business value could be generated out of the use of AI technologies;
• You have built ML/AI powered solutions and used available services & tools and/or built bespoke ML models/solutions;
• You've investigated the practical application of generative AI/LLMs through pet projects and PoCs, exploring ready-to-go products, and you can demonstrate or discuss the output;
• You have experience in LLMs/SLMs assessment, selection, and fine-tuning for the specific use case;
• You enjoy writing code, preferably in Python and have 3+ years of experience in commercial development;
• You know what prompt engineering, vector databases, embeddings, multi-stage reasoning, RAG, and MLOps are, and you have had a practical (could be non-commercial) experience with some of the listed things;
• You enjoy communication and can talk to both technical and non-technical stakeholders.

Nice to have: 

• You have previous experience in data engineering;
• You are active in the growing AI community, attend webinars, events, and meetups, or are interested in becoming active;
• You have some front-end experience building simple UIs to demonstrate solutions end-to-end or are open to gaining such;
• You are interested in developing a personal brand through participation in content creation in collaboration with marketing & AI Lab.

What impact you’ll make

• Participate in research and development activities by working on Star's internal AI products;
• Create proof of concepts for our clients and prospects, focusing on applying AI technologies;
• Monitor and research changes in the AI developer ecosystem and approaches and apply them in practice to develop Star's AI capabilities;
• Participate in client calls during late sales cycle stages, present technical expertise, and help build solutions; 
• Act as a subject matter expert on AI to assist with Star's marketing and branding efforts.

Imagine enhancing an AI assistant that already lives on Macs — one that truly understands its users, adapts to their habits, and helps them stay focused on what matters most. Eney is MacPaw’s AI companion for macOS, designed to organize, automate, and simplify users’ daily workflows.

Now, we’re taking Eney to the next level — making it smarter, faster, and capable of running advanced LLMs directly on-device. As a Senior AI Engineer, you’ll fine-tune and optimize the latest LLMs using cutting-edge techniques (LoRA, Q-LoRA, DPO, GRPO), build scalable ML pipelines, and shape how AI seamlessly integrates into everyday Mac experiences.

In this role, you will:

• Train and fine-tune LLMs (e.g., LLaMA, Gemma, Qwen) for specialized tasks (such as function calling, charting, parameter parsing) and ensure their effective deployment across diverse environments, including on-device (MLX)
• Develop and apply model optimization and compression techniques (e.g., dynamic pruning, quantization) to enable high-performance on-device inference
• Conduct rigorous evaluation and benchmarking of LLMs to measure performance, accuracy, and efficiency across different setups
• Adapt LLMs for domain-specific tasks using techniques such as prompt engineering, adapter-based fine-tuning (PEFT), and multi-modal extensions.

Skills you’ll need to bring:

• Deep experience with LLMs: training large and small models using various techniques (fine-tuning, post-fine-tuning, DPO, GRPO)
• Practical experience with LoRA / Q-LoRA and other adapter-based fine-tuning methods
• Strong background in classical ML and NLP
• Solid knowledge of deep learning, going beyond just LLMs (e.g., CNNs, RNNs, Transformers, Autoencoders)
• Proficiency in Python and deep learning frameworks (e.g., PyTorch)
• Hands-on experience in model optimization (pruning, quantization), evaluation, and deployment
• Ability to design and automate ML pipelines with a focus on scalability and maintainability
• Upper-intermediate English & fluent Ukrainian

As a plus:

• Experience working with multi-modal data: structured/tabular, images, audio, or video
• Experience in synthetic data generation
• Hands-on experience with LLM production deployment: monitoring, evaluation, and metrics tracking
• Familiarity with on-device ML and performance optimization
• Swift knowledge or interest, as the company’s products operate in the Apple ecosystem
• Background in computer vision, time series, or reinforcement learning

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.
• 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.

Kraken Leads a dynamic company with Ukrainian roots, providing comprehensive SEO solutions for iGaming products for over 6 years.
 

We are looking for an experienced and detail-oriented Content Manager who will take full ownership of the content production process for our SEO projects. This role combines strategic thinking, operational management, and creativity.
 

If you are passionate about creating data-driven content that drives real impact, thrive in collaboration with SEO and tech teams, and are eager to grow through innovation — we’d love to have you on board!
 

Requirements:

• 1.5+ years of experience as a Content Writer, Content Manager, or in a similar content-related role.
• Proven track record in SEO content creation understanding of keyword strategy, user intent, and on-page optimization.
• Experience in iGaming projects (casino, betting, slots, or related niches).
• Hands-on experience with AI tools such as ChatGPT, Claude, Perplexity, or similar understanding how to use AI for content generation and editing.
• Basic knowledge of JSON or prompt engineering will be a strong advantage.
• English proficiency Upper-Intermediate (B2) or higher; additional languages (especially European) will be a plus.
• Strong attention to detail, ability to manage multiple content streams simultaneously, and deliver high-quality results on time.
• Open mindset, eagerness to learn, and readiness to continuously improve AI and SEO skills.
   

Responsibilities:

• Manage the full content cycle for SEO projects planning, ordering, editing, and publishing content according to technical guidelines and deadlines.
• Collaborate closely with the SEO team and other departments to align content strategy with overall business goals and ensure consistent quality across deliverables.
• Ensure timely completion of content tasks with a stable quality level and minimal rework (up to 10% per month).
• Maintain clear communication with cross-functional teams, sharing updates, analysing results, and contributing to process improvement discussions.
• Provide regular feedback to the tech and product teams on website functionality, internal tools, and workflows to enhance efficiency and performance.
• Continuously research, test, and propose new tools, services, and models to optimize, automate, and scale content operations.

• Actively develop AI-related skills (ChatGPT, Claude, Perplexity, etc.) to enhance productivity and innovation in daily work.

   

Why it’s comfortable to work with us:
 

📚 Development without limits: Clear professional roadmap, personal budget for courses and trainings, annual skill upgrade your career grows together with the company.

🌍 Flexibility and balance: Start your working day anytime between 8:00 and 11:00, work remotely from anywhere, or drop by our Kyiv coworking space for networking and team vibes.

💚 We care about you: 17 paid vacation days + additional day-offs for holidays, 100% paid sick leaves, and a wellbeing budget for sports, healthcare, or your favorite hobby.

📄 Zero bureaucracy: We handle all legal and accounting matters you focus purely on performance and results.

💪 Energy and achievements: We run, do yoga, launch challenges, and celebrate both personal and team victories because success feels better together.

🎯 Smooth start and full support: Friendly onboarding with a buddy, ongoing feedback, transparent goals, and a clear understanding of success metrics.

💬 Open communication with leadership: Direct access to C-level, regular all-hands meetings, and transparency in decisions your voice is always heard.

💰 Transparent compensation: Your income grows with your results. We value fairness and reward performance.

🚀 Your journey to joining the team:

Resume review — we carefully evaluate your background and experience.

Interview with a recruiter — to align expectations and share details about the role.

Technical/manager interview — meet your future manager and discuss real tasks.

Paid test task — a chance to show your approach and skills in action.

Final interview with the CEO — friendly chat about vision, values, and growth.

Offer and onboarding — welcome to Kraken Leads, where your next chapter begins!

Join a forward-thinking team working on next-gen AI-powered solutions especially in the field of intelligent document retrieval and LLM integration. We’re searching for a senior-level expert to help architect and scale high-performance AI platforms that combine retrieval and generation in innovative ways.

What You’ll Be Doing

• Architect and deploy end-to-end systems for retrieval-augmented generation (RAG).
• Build advanced query pipelines using vector databases and search technologies.
• Optimize latency, relevance, and throughput in both real-time and batch inference scenarios.
• Support deployment, observability, and fault-tolerance of inference infrastructure.
• Evaluate and implement modern frameworks (e.g. LangChain, LlamaIndex).
• Work closely with product, research, and engineering teams to bring intelligent systems to production.
• Act as a technical leader: review code, support design decisions, guide team members.
• Participate in technical discovery, POCs, and client-facing architectural planning.
• Help grow the team by interviewing candidates and contributing to R&D initiatives.

What We’re Looking For

• 5+ years in backend or systems engineering (with focus on AI/ML or distributed systems).
• Hands-on expertise building RAG-based applications.
• Solid understanding of vector-based search and dense retrieval.
• Proficiency in Python; knowledge of embedding models, prompt pipelines.
• Deep familiarity with OpenSearch, Elasticsearch, or similar engines.
• Experience using vector DBs such as FAISS, Pinecone, or Qdrant.
• Exposure to tuning LLMs or integrating them into production systems.
• Previous work with large-scale, high-load systems is a big advantage.
• Knowledge of cloud platforms (AWS, GCP, Azure) and containerization tools (Docker, Kubernetes).
• Strong focus on reliability, monitoring, and performance tuning.
• Upper-intermediate English or higher.
• Based in Ukraine or a Ukrainian abroad.

We Offer

• Opportunity to shape impactful AI products with modern technology stacks.
• Structured growth path and regular performance reviews.
• Support for professional certifications, training, and English classes.
• Premium health insurance or fitness reimbursement.
• 18 days paid vacation, sick leaves, and flexible working hours.
• Fully remote setup or workspace in Kyiv/Lviv with Starlink & generators.
• Co-working coverage for those outside office cities.
• Corporate perks: lunches, team events, mentorship, and wellbeing initiatives.
• Work culture rooted in trust, transparency, and autonomy no micromanagement.

Trinetix is looking for a skilled AI Engineer. 

We are looking for an AI Engineer to design and build intelligent solutions using Large Language Models (LLMs) and Generative AI. The role involves working with LangGraph, RAG pipelines, and multi-modal models, leveraging Azure OpenAI, Azure AI Speech, and Azure AI Foundry. You will apply advanced prompt engineering and agentic frameworks like A2A, AG-UI, and MCP to enhance the performance and scalability of AI-driven applications. 

Requirements 

• Proven experience working with Large Language Models (LLMs) and Generative AI 
• Strong hands-on skills with Python 
• Practical experience with Azure OpenAI and related Azure AI services (e.g., Azure AI Speech, Azure AI Foundry) 
• Solid understanding of Retrieval-Augmented Generation (RAG) pipelines, including vector databases and hybrid search techniques 
• Familiarity with LangGraph or similar agentic frameworks 
• Experience designing and optimizing prompts using advanced prompt engineering techniques 

Nice-to-haves 

• Experience with multi-modal AI models (text, image, or speech) 
• Knowledge of AG-UI, A2A, or MCP frameworks/tools 
• Background in building scalable AI-driven solutions on Microsoft Azure 
• Strong understanding of AI application orchestration and workflow automation 

Core Responsibilities 

• Apply expertise in modern agentic frameworks such as LangGraph to build and optimize LLM-powered systems 
• Leverage advanced prompt engineering to fine-tune and improve model performance across diverse tasks 
• Work hands-on with multi-modal generative AI models, integrating text, speech, and visual capabilities 
• Develop and optimize RAG pipelines using vector databases and hybrid search to enhance knowledge retrieval 
• Collaborate with cross-functional teams to design, test, and deploy AI-driven applications within the Azure ecosystem 

Expected Qualifications 

• Take full ownership of complex project components 
  Be responsible for delivering high-quality work on time, making sure it fits the project’s goals and technical requirements. 
• Solve complex technical challenges and guide architectural choices 
  Make sound technical decisions independently and contribute to discussions that shape how systems are designed and built. 
• Drive improvements in how the team works 
  Introduce new tools, workflows, or practices that make development faster, cleaner, and more collaborative. 

What we offer   

• Continuous learning and career growth opportunities 
• Professional training and English/Spanish language classes   
• Comprehensive medical insurance 
• Mental health support 
• Specialized benefits program with compensation for fitness activities, hobbies, pet care, and more 
• Flexible working hours 
• Inclusive and supportive culture 

For our client, we are looking for a Senior Machine Learning Engineer.

Join a highly skilled team that designs, builds, and scales machine learning systems powering personalization and customer engagement on a massive scale. You'll work on production-grade ML pipelines, real-time decision-making systems, and experimentation frameworks that directly impact millions of users worldwide.

• The Ideal Candidate

  • 5+ years of applied experience in ML engineering (recommendation systems, personalization, ranking, or ads).
  • Strong proficiency in Python and/or Go, SQL, and frameworks like TensorFlow or PyTorch.
  • Hands-on experience deploying real-time ML systems (feature stores, event-driven architectures, low-latency prediction).
  • Familiarity with cloud ML platforms such as Vertex AI, SageMaker, or similar.
  • Experience with data warehouses (BigQuery, Snowflake, or Redshift).
  • Understanding of multi-objective optimization and trade-offs in personalization.
  • Excellent communication skills and fluent English.
  • Ability to work 9 AM - 4 PM EST.

  Nice to have:

  • Experience in martech, adtech, CRM, or large-scale personalization.
  • Knowledge of bandit algorithms or reinforcement learning.
  • Experience working with Google Cloud Platform (GCP).
  • Background in systems serving millions of users.

   

  What You Will Do

  • Build and optimize ML pipelines that convert behavioral, demographic, and contextual data into real-time features.
  • Design and implement low-latency APIs for predictions and decision-making.
  • Develop frameworks for A/B testing, model evaluation, and exploration/exploitation strategies.
  • Collaborate with product and engineering teams to align ML initiatives with business goals and compliance.
  • Establish monitoring, logging, and retraining workflows to maintain model performance and reliability.

   

   

  What the Company Offers

  • Opportunity to shape large-scale personalization technologies used by millions.
  • Competitive compensation aligned with your expertise.
  • Professional growth through conferences and training budgets.
  • Remote work flexibility with strong team support.
  • A collaborative and innovative environment that values impact over seniority.
  • Engaging online & offline activities for team connection.

   

About Digis

Digis is a European IT company with 200+ specialists delivering complex SaaS products, enterprise solutions, and AI-powered platforms worldwide.
We ensure transparency, stability, and professional growth opportunities for all our team members.

About the Project

Аn AI-powered virtual try-on platform for fashion e-commerce.
The startup is currently in the MVP stage and is building the foundation of a recommendation and visualization engine for apparel.
The project aims to revolutionize the online shopping experience through AI-driven body/garment analysis, 3D reconstruction, and outfit matching.

Responsibilities

• Build the MVP AI/ML engine for body/garment extraction and outfit recommendation
• Train and deploy ML models for image-to-outfit matching
• Implement GDPR-compliant secure image handling
• Scale and split APIs into multiple AI services
• Develop and optimize the case detection process (scanner)
• Research and experiment with 2D-to-3D garment reconstruction techniques
• Set up infrastructure and pipelines for AI services
• Collaborate directly with the CTO and founding team on feature design and roadmap decisions

Requirements

• Experience with 3D object generation or modification
• 3+ years of experience with Python
• 3+ years with PyTorch or TensorFlow
• Solid understanding of AI/ML model deployment and optimization
• English — B2+, sufficient for passing a technical interview and daily communication

Nice to Have

• Experience with AR/VR frameworks (ARKit, ARCore)
• Familiarity with Unity or 3D visualization tools
• Background in computer vision, pose estimation, or physics simulation
• Experience in MVP/startup environments

Project Advantages

• Innovative early-stage AI/ML project with cutting-edge technologies
• High-impact role — your code will directly go to production quickly
• Work directly with an experienced CTO (10+ years in ML/AI)
• Independence and ownership — freedom to test and propose ideas
• Bi-weekly developer meetups for knowledge exchange
• Founders are engaged and open-minded, promoting research and prototyping around 3D/AR ideas
• The project has already received €1M+ investment

⚡️ AI Engineer (Middle+/Senior)

We are looking for AI Engineers to join a long-term, full-time project that is currently in the pre-sale stage. This is a high-priority opportunity, so we are seeking highly skilled specialists who meet the key technical requirements and have strong communication skills in English.

Requirements:

Proven experience with AI/ML development (preferably production-level projects)

Strong Python skills, with experience in building and deploying machine learning models

Solid understanding of deep learning frameworks (TensorFlow, PyTorch, etc.)

Experience with cloud platforms (AWS, GCP, or Azure)

Proficiency in working with APIs and data processing pipelines

English level B2 or higher – must be comfortable communicating with international teams

Ability to work independently and in a team, with strong problem-solving skills

Nice to Have:

Knowledge of MLOps practices and experience with model deployment at scale

Experience with LLMs (Large Language Models) or Generative AI solutions

Familiarity with Docker, Kubernetes, and CI/CD processes

Background in data engineering or big data tools

Responsibilities:

Design, develop, and deploy AI-driven solutions for complex business problems

Build and optimize machine learning models and pipelines

Collaborate closely with data scientists, developers, and stakeholders

Ensure scalability, reliability, and performance of AI solutions

Stay up-to-date with the latest trends and advancements in AI/ML technologies

Recruitment Process:

Recruiting interview

Technical interview

Client interview in English

Offer

If you are ready to work on impactful AI projects and meet the requirements — send us your CV today! 🚀

⚡️ Architect / Senior Databricks Engineer (Databricks Certified)

We are looking for an experienced Architect / Senior Databricks Engineer to join a long-term, full-time project currently in the pre-sale stage.

This is a high-priority opportunity, and we are seeking a strong technical leader with proven expertise in Apache Spark and Databricks, capable of designing and implementing scalable big data solutions while effectively collaborating with technical teams and business stakeholders.

Requirements:

Extensive hands-on experience with Apache Spark

Proven experience working with Databricks across multiple large-scale projects

Databricks Certified Data Engineer Professional certification

Strong background in big data technologies, including Hadoop, NoSQL, MPP, OLTP, OLAP

7+ years of experience as a Software Engineer or Data Engineer, including:

Query tuning and performance optimization

Troubleshooting and debugging Spark or other big data solutions

Proficiency in Python, Scala, or Java programming

Practical experience designing and deploying solutions on cloud platforms (AWS, Azure, or GCP)

Familiarity with CI/CD tools, unit and integration testing, automation, orchestration, REST APIs, BI tools, and SQL interfaces (e.g., Jenkins)

Excellent communication and presentation skills, with the ability to engage strategic stakeholders and leadership

Experience in customer-facing roles, such as pre-sales, post-sales, technical architecture guidance, or consulting

Passion for continuous learning and ensuring customer success

Nice to Have:

Experience in Data Science / ML Engineering, including:

Model selection and lifecycle management

Hyper-parameter tuning

Model serving and deep learning

Working with tools such as MLFlow

Responsibilities:

Design, implement, and optimize data architecture and big data solutions

Lead the adoption and scaling of Databricks within the project

Collaborate with data engineers, data scientists, and business stakeholders to define technical strategies

Ensure performance, scalability, and reliability of data pipelines and analytics platforms

Provide technical leadership, mentoring, and guidance to team members

Engage with stakeholders and customers to gather requirements and deliver strategic solutions

Stay up-to-date with emerging trends and innovations in big data and Databricks technologies

Recruitment Process:

Recruiter interview

Technical interview

Client interview

Offer

Apply now and help shape this project from the very beginning! 🚀

The UKEESS Software House team is currently looking for a Senior AI LLM Data Scientist / Engineer to join our team for a full-time position (remotely in Ukraine or in Lviv’s office).

About the Customer and the Project:

Our customer is the world’s largest DNA network, based in the USA. This presents a unique opportunity to work with more than 60 billion digitized global historical records, 100 million family trees, and 18+ million people in their growing database. Our customers help people discover their family stories and gain actionable insights about their health and wellness. 

About the team:

You will join the AI Content team, a dynamic group at the forefront of Document Understanding. You’ll play a vital role in developing innovative AI models that extract and organize text and image information from billions of historical and genealogical records, enabling customers to discover, share, and connect with their family history. 

As a member of the AI Content team, you will work with AI technologies and LLMs to deploy, test, and evaluate model capabilities, quality, throughput, and cost for document understanding tasks such as layout analysis, transcription, entity recognition, relation extraction, summarization, etc. You will work with a dedicated mentor on the AI Content data science team, along with engineering teams, to train, optimize, and deploy models that promote product development, customer success, and content creation across our project.

What you will do:

• Integrate LLMs: Integrate both open source and provider-based LLMs into our internal AI Gateway. 
• LLM Optimization: Optimizing open source LLMs for faster inference using frameworks like VLLM, SGLang
• Tools/Scripts/Dashboards: build a tool/script/dashboard to track and compare speed or time required, as well as token count and cost estimates for processing images with the various LLMs.  
• Optional Opportunities: Optional opportunities exist to explore LLM word token bounding box detection, LLM as a Judge, and other LLM evaluation work. 
• Collaborate on Cloud Deployment: Partner closely with ML Ops and Data Science Engineers to seamlessly deploy datasets, truth sets, models, and pipelines for training and inference in cloud environments.
• Communicate Insights Effectively: Clearly and confidently present your findings, deliverables, and proposed solutions to technical and non-technical audiences, including teams, stakeholders, and executives.

Requirements:

• 5+ years of experience in Data Science with AI/ML 
• Proven experience in Python programming as well as tools and environments for model deployment.
• Knowledge and experience with multiple AI LLMs, including both proprietary and open-source models, and their respective strengths and limitations.  
• Knowledge and experience with such frameworks as VLLM, SGLang
• Ability to stay up-to-date with new models, benchmarks, and best practices.
• Practical experience with cloud platform AWS (e.g. Amazon SageMaker, EC2, S3, AWS Lambda).
• English: Upper-intermediate at least (both spoken and written)

It will be a plus:  

• Familiarity with cloud platforms and related AI/ML services such as Google GCP Gemini API, Vertex AI, Azure, etc.  
• Commercial experience with Terraform or CloudFormation
• Experience with agentic architecture
• Familiarity with AI coding tools 

What You’ll Gain

• Mentorship & Growth: Learn from experienced Data Scientists while tackling meaningful, real-world AI projects, expanding your knowledge and professional network within a collaborative culture. 
• Collaboration & Impact: Work alongside top industry professionals and help shape the tools that bring family history to life for millions of users.
• Innovation & Purpose: Join a team at the forefront of applying AI to historical data - where every model you build helps preserve human stories.

What do we offer our new colleague?

• Competitive compensation (based on market data, but also depending on the technical level of the candidate)
• Flexible work schedule
• 3 health packages to choose
• Annual paid vacation and state holiday celebration
• Free English classes (online)
• Individual approach to professional growth
• Lack of bureaucracy and micromanagement
• Modern, comfortable office facilities (a barbecue zone, kitchens, lounge rooms, coffee machines, etc.)
• Foreign business trips (after the war)
• On-site parking lot and charge station for Electric Cars
• Corporate gifts, celebrations, and fun activities

• Sports activities: ping-pong, soccer, work-out

   

Suppose you have a passion for solving challenging problems, building scalable, robust systems, love working with the latest technologies in a fast-paced, flexible environment, and are excited about the prospect of having a significant impact on products with more than 3 million paying subscribers. In that case, we want to talk to you! ;-)

The UKEESS Software House team is currently looking for a Senior AI Data Scientist / Engineer to join our team for a full-time position (remotely in Ukraine or in Lviv’s office).

About the Customer and the Project:

Our customer is the world’s largest DNA network, based in the USA. This presents a unique opportunity to work with more than 60 billion digitized global historical records, 100 million family trees, and 18+ million people in their growing database. Our customers help people discover their family stories and gain actionable insights about their health and wellness. 

About the team:

You will join the AI Content team, a dynamic group at the forefront of Document Understanding. You’ll play a vital role in developing innovative AI models that extract and organize text and image information from billions of historical and genealogical records, enabling customers to discover, share, and connect with their family history. 

As a member of the team, you will work with KB (Knowledge Base) and RAG (Retrieval Augmented Generation) implementations, integrating architectures leveraging SQL-structured databases along with vector databases supporting semantic search and retrieval applications. You will work with a dedicated mentor from the data science team, as well as engineering teams, to train, optimize, and deploy models that promote product development, customer success, and content creation across our project.

What you will do:

• Configure structured and vector databases: Align and sync database schemas across structured and vector databases 
• Curate and organize content collection metadata: Prepare and format provided content collection metadata to be compatible with defined database schemas 
• Ingest content collection metadata:  Ingest collection metadata from provided sources into a structured SQL database.
• Embeddings generation: Help develop a tool/script to generate embeddings from the structured data to populate the vector database.
• Iterative improvement: Iterate on adjusting the database schema, indexes, embeddings, etc., to support various queries and use cases for analyzing the ingested content collection metadata
• Collaborate on Cloud Deployment: Partner closely with ML Ops and Data Science Engineers to seamlessly deploy datasets, truth sets, models, and pipelines for training and inference in cloud environments.
• Communicate Insights Effectively: Clearly and confidently present your findings, deliverables, and proposed solutions to technical and non-technical audiences, including teams, stakeholders, and executives.

Requirements:

• 5+ years of experience in Data Science
• Strong hands-on commercial experience with LLMs in production, RAG architecture, and agentic systems
• Expertise with data collection, organization, curation, and formatting to populate SQL databases. 
• Experience with SQL databases, including adjusting schemas and indices to optimize for efficient queries. 
• Familiar with embedding generation and use of vector databases for semantic search and retrieval. 
• Strong proficiency and experience with Python and relevant tools and libraries
• Practical experience with cloud platform AWS (e.g. Amazon SageMaker, EC2, S3, AWS Lambda).
• English: Upper-intermediate at least (both spoken and written)

It will be a plus:

• Knowledge and experience with cloud platforms and related AI/ML services such as Google GCP Gemini API, Vertex AI, Azure, etc.  
• Strong knowledge and experience with LightLLM
• Commercial experience with Terraform or CloudFormation
• Experience with agentic web scraping tools

What You’ll Gain

• Mentorship & Growth: Learn from experienced Data Scientists while tackling meaningful, real-world AI projects, expanding your knowledge and professional network within a collaborative culture. 
• Collaboration & Impact: Work alongside top industry professionals and help shape the tools that bring family history to life for millions of users.
• Innovation & Purpose: Join a team at the forefront of applying AI to historical data - where every model you build helps preserve human stories.

What do we offer our new colleague?

• Competitive compensation (based on market data but also depending on the technical level of the candidate)
• Flexible work schedule
• 3 health packages to choose
• Annual paid vacation and state holiday celebration
• Free English classes (online)
• Individual approach to professional growth
• Lack of bureaucracy and micromanagement
• Modern, comfortable office facilities (a barbecue zone, kitchens, lounge rooms, coffee machines, etc.)
• Foreign business trips (after the war)
• On-site parking lot and charge station for Electric Cars
• Corporate gifts, celebrations, and fun activities

• Sports activities: ping-pong, soccer, work-out

   

Suppose you have a passion for solving challenging problems, building scalable, robust systems, love working with the latest technologies in a fast-paced, flexible environment, and are excited about the prospect of having a significant impact on products with more than 3 million paying subscribers.

In that case, we want to talk to you! ;-)

Hello! We’re looking for a motivated and tech-savvy Junior AI Specialist to support our work on intelligent AI-driven systems. From smart chats and LLM prompt design to autonomous AI agents and process automation — you’ll get hands-on experience building tools that solve real-world business challenges.

 

Key responsibilities:

• Building and testing AI agents for lead research, client outreach, and pipeline management;
• Designing and refining prompts for Large Language Models (LLMs) to improve conversation quality and task performance;
• Automating business processes using n8n — integrating databases, scraping tools, and outreach platforms;
• Developing lightweight chatbots and conversational flows for use in marketing or support;
• Supporting data collection and processing to enable targeted outbound campaigns;
• Collaborating with team members to improve AI-driven workflows and propose better strategies.
   

Requirements:

• Solid interest in AI, LLMs, and workflow automation;
• Basic experience with tools like OpenAI, or agent frameworks;
• Basic understanding of JavaScript/TypeScript and willingness to improve skills through practical application. 
• Practical understanding of n8n — or strong motivation to learn it quickly (experience building flows, connecting APIs, etc.);
• Strong problem-solving skills and the ability to independently conduct online research and experimentation;
• Upper-intermediate level of English (written and verbal);
• A self-starter with a learning mindset — not afraid to test, iterate, and improve.
   

What you will have with us:

• Regular Performance review;
• Paid out-of-office days;
• Opportunity to learn and improve your English.
• Flexible work schedule;
• Well-equipped office;
• Career Path and growth opportunities.

About company

We are a software development company that provides digital technology services from mobile and web development to custom software solutions. We're dedicated to delivering innovative, high-quality solutions tailored to your unique needs.

N.B! Locations  -  remote from Latvia, Lithuania, Spain, Portugal

We are looking for a highly skilled Senior Machine Learning Engineer to design, develop, and deliver production-ready ML solutions. The ideal candidate will combine deep technical expertise with strong communication and collaboration skills, capable of working independently while driving end-to-end model development and deployment.

Key Responsibilities:
Design, build, and deploy production-grade ML models and pipelines using Python.
Translate business requirements into scalable and efficient ML solutions.
Work independently to own the full model lifecycle — from data exploration to production delivery and monitoring.
Collaborate closely with cross-functional teams, including data scientists, engineers, and product stakeholders.
Communicate complex ML concepts and insights clearly to non-technical audiences.
Optimize and deploy models using AWS infrastructure and related cloud services.

Required Skills and Qualifications:
10+ years of experience in Machine Learning, Data Science, or related fields.
Expert-level proficiency in Python, including production-grade software development practices.
Proven experience deploying ML models in production environments.
Strong understanding of ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and modern MLOps practices.
Excellent collaboration and communication skills.
Hands-on experience with AWS services for ML (e.g., SageMaker, Lambda, S3, ECS, or EC2).
Nice to Have:

Experience with CI/CD for ML workflows.
Familiarity with containerization (Docker, Kubernetes).
Background in data engineering or large-scale distributed systems.