Jobs ML / AI

Our company is developing its own interactive knowledge base. Users can upload any volume of diverse data, after which the system automatically transforms it into structured, searchable content. To achieve this, we use a comprehensive ML pipeline involving OCR, vision-language models, document parsers, and multiple types of data storage. Search is implemented through an LLM-based chat interface that allows users to submit queries in natural language, retrieve relevant documents, and receive summarized findings and recommendations based on the uploaded materials.

We are currently looking for an ML/AI Engineer with deep experience working with unstructured content - primarily photographs and scanned document copies - who will strengthen our team and lead the development of pipelines and solutions for processing this type of data.

We expect the candidate to:

• Have broad experience working with unstructured data and have used both classical OCR systems (Tesseract, PaddleOCR, EasyOCR) and modern models (PaddleOCR-VL, DeepSeek-OCR, dots.ocr, Qwen3-VL). Understand the strengths and weaknesses of different architectures and the scenarios in which each is most effective.
• Have hands-on experience training and fine-tuning OCR and Vision-Language models.
• Understand algorithmic approaches to image enhancement, preprocessing, and filtering in order to improve downstream recognition quality.
• Have worked with Docling (including advanced backend tuning for parsing complex PDFs and tables), markitdown, Apache Tika, PyMuPDF, and other tools for document conversion and structuring. Be comfortable with processing layered and non-trivial PDF files.
• Have experience working with self-hosted models, including deploying and optimizing models in vLLM environments on H100-class GPUs and above, and understand the principles of GPU architecture and KV cache.
• Have strong Python programming skills, including architectural patterns, multithreading, asynchronous programming, modern testing practices, and experience operating services under high load (monitoring, telemetry, memory utilization).
• Have experience working with document-oriented, relational, and vector databases, and understand index types and the relevant use cases for each type of storage.

It would be a plus if you have:

• Experience working with Speech-to-Text or Video-to-Text pipelines.
• Experience in content analysis, including classification, summarization, and NER.
• Experience in data engineering: understanding of ETL/ELT processes, experience with orchestrators (Airflow, Temporal, Prefect), and distributed computing systems (Ray, Spark).
• Experience in DevOps: CI/CD, Kubernetes, Helm, ArgoCD.
• Experience working with Elasticsearch, MongoDB, PostgreSQL, Qdrant/Milvus, Neo4j, and other storage systems.
• Understanding of modern cybersecurity approaches.
• Hands-on experience with production-grade RAG-based systems.

We offer a fully remote work format on our own product, which uses state-of-the-art technologies and is focused on the public sector. The company has the status of being critically important to the Armed Forces of Ukraine. If needed, we provide military deferment and the necessary office equipment.

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Наша компанія розробляє власну інтерактивну базу знань. Користувачі можуть завантажувати будь-який обсяг різноманітних даних, після чого система автоматично перетворює їх на структурований, придатний для пошуку контент. Для цього застосовується комплексний ML-пайплайн із залученням OCR, VL моделей, документних парсерів та різних типів сховищ даних. Пошук реалізовано через чат на базі LLM, який дозволяє формувати запити звичайною мовою, отримувати релевантні документи, а також узагальнені висновки та рекомендації на основі завантажених матеріалів. 

Зараз ми шукаємо ML/AI інженера з глибоким досвідом роботи з неструктурованим контентом (насамперед фотографіями та скан-копіями документів), який підсилить нашу команду та очолить напрям розробки пайплайнів і рішень для обробки таких даних. 

Ми очікуємо, що кандидат: 
• Має широкий досвід роботи з неструктурованими даними та застосовував як класичні OCR-системи (Tesseract, PaddleOCR, EasyOCR), так і сучасні моделі (PaddleOCR-VL, DeepSeek-OCR, dots.ocr, Qwen3-VL). Розуміє сильні та слабкі сторони різних архітектур і сценарії їх застосування. 
• Має практичний досвід навчання та fine-tuning OCR і Vision-Language моделей. 
• Розуміє алгоритмічні методи покращення зображень, їх попередню фільтрацію та обробку для підвищення якості подальшого розпізнавання. 
• Працював з Docling (включно з тонким налаштуванням бекендів для парсингу складних PDF і таблиць), markitdown, Apache Tika, PyMuPDF та іншими інструментами для конвертації й структуризації документів. Орієнтується у процесингу багатошарових і нетривіальних PDF-файлів. 
• Має досвід роботи з self-hosted моделями, зокрема запуску та оптимізації моделей у середовищах vLLM на GPU рівня H100 і вище, розуміє принципи GPU-архітектури та KV cache. 
• Має сильні навички програмування на Python: архітектурні патерни, багатопоточність, асинхронність, сучасні практики тестування, досвід експлуатації сервісів під високим навантаженням (моніторинг, телеметрія, утилізація пам'яті). 
• Має досвід роботи з документоорієнтованими, реляційними та векторними базами даних, розуміє типи індексів і відповідні юзкейси для кожного типу сховищ. 

Буде плюсом: 
• Досвід роботи з Speech-to-text або Video-to-text пайплайнами.
• Досвід аналізу контенту: класифікація, сумаризація, NER. 
• Досвід у data engineering: розуміння ETL/ELT-процесів, робота з оркестраторами (Airflow, Temporal, Prefect) та системами розподіленого обчислення (Ray.io, Spark). 
• Досвід у DevOps: CI/CD, Kubernetes, Helm, ArgoCD. 
• Досвід роботи з Elasticsearch, MongoDB, PostgreSQL, Qdrant/Milvus, Neo4j та іншими сховищами. 
• Розуміння сучасних підходів до кібербезпеки. 
• Практичний досвід із системами на основі RAG у продакшені. 

Пропонуємо повністю віддалений формат роботи над власним продуктом, який використовує найсучасніші технології та орієнтований на державний сектор. Компанія має статус критично важливої для Збройних сил України. За потреби надаємо бронювання та необхідну офісну техніку.

ABCloudz is a dynamic technology company specializing in software development, modernization, and digital transformation, with a strong focus on building AI-driven solutions.
We are looking for a motivated Trainee Software Engineer who is eager to grow in development and take part in AI research and implementation.
If you already have a foundation in JavaScript, TypeScript, and Python and want to develop your skills while working with AI and Web3 technologies, this is the perfect opportunity to start your career and Internship Program with us.

Requirements

•    Willingness to learn and thirst for knowledge
•    Basic knowledge of Object Oriented Programming
•    Solid knowledge of Java Script and TypeScript
•    Knowledge of Python
•    Understanding of basic NodeJS concepts
•    Understanding REST API
•    Experience with Linux-like OSs, console
•    Basic understanding of algorithms and data structures
•    Basic knowledge of Git, Docker (console or UI clients)
•    Experience with relational DBs, basic SQL knowledge
•    At least the Intermediate level of English
Will be a plus:
Understanding WebSockets
Understanding software architectures and architecture patterns
Familiarity with module testing
Understanding NoSQL DBMS (MongoDB, Redis)
Familiarity with Nest.JS
Familiarity with LLM and ML
Familiarity with web3 technologies

Responsibilities

• Develop and maintain backend features using Node.js and NestJS under guidance
• Implement REST and basic GraphQL endpoints following existing patterns
• Contribute to microservice-based applications
• Implement simple inter-service communication using NATS or RabbitMQ. Handle basic event publishing and consuming
• Assist in integrating LLM-based features using existing SDKs or APIs
• Interact with blockchain networks using libraries
• Assist in implementing wallet-based authentication
• Implement and test smart contract interactions
• Write clean, readable, and well-documented code
• Fix bugs and address technical debt in existing services
• Write basic unit tests (Jest)
• Participate in code reviews (as a learner)

Internship Program Details

• The training program lasts 5 weeks and is free of charge for students on both sides. You will receive tasks for each training week and complete them at your convenience. At the end of each week, you will have a 30-minute meeting with a mentor. Therefore, the time required to complete the tasks may vary individually.
• The program includes working on real tasks and gradual involvement in the company’s internal processes.
• Upon successful completion of the training, we offer further cooperation with the company on our own product.
• At the beginning of cooperation (after successful completion of the training), we offer $400 gross. After completing the probation period, the compensation increases to $500 gross

Location: Remote-first, Europe (Spain or UK preferred)

Office: Barcelona available

Engagement: Full-time, long-term

Employment: In-house

About the Company

Our client is a European health technology company building an AI-driven virtual assistant for clinicians — a real-time system that helps healthcare professionals perform tasks faster and more accurately.

Their mission is to build intelligent, low-latency AI agents that communicate naturally through text and voice, supporting healthcare providers, payers, and pharmaceutical companies.

Core Stack: Python, FastAPI, Docker, Kubernetes, Argo CD, gRPC, Redis, Postgres, WebRTC

Focus Areas: Real-time AI agents, voice systems, event-driven architectures, multi-agent orchestration

Who We’re Looking For

This is a Senior-level (6–7+ years) AI Engineer role.

We’re looking for someone who is highly experienced in building AI/ML systems - not just experimenting with the latest APIs, but shipping real production systems.

You are a software-first AI engineer:

• You understand architectures, reliability, observability, SLAs, and production constraints - not just prompts.

Mandatory background:

• Strong AI/ML expertise + solid software engineering fundamentals
• Experience that predates the LLM boom, showing a foundational understanding of ML/Software Engineering beyond prompt engineering.
• Proven experience with production AI/ML systems
• Previous startup experience (required)

Deep expertise in at least one:

• Voice AI systems
• Multi-agent architectures
• Low-latency software systems

What You’ll Own

You will take ownership of critical AI infrastructure components, including:

AI Brain Service (End-to-End)

• Architecture design, SLAs, latency budgets
• Failure modes & reliability engineering
• Production rollouts and system evolution

Real-Time & Voice Systems

• Streaming text/voice
• VAD, barge-in, turn-taking, interruption handling
• WebRTC, SIP, LiveKit (strong plus)
• Latency optimization under real-world constraints

Multi-Agent Orchestration

• Planner–executor–critic patterns
• Role routing & shared memory
• Tool routers & coordination protocols
• Evaluation-driven iteration

RAG & Retrieval Engineering

• Hybrid retrieval & re-ranking
• Query rewriting, compression, caching
• Freshness & grounding
• Faithfulness and relevancy evaluation

Evaluation & Observability

• Pre-call validation & safety enforcement
• In-call tracing (prompts, tools, tokens, latency, cost)
• Post-call automated evals (hallucination, safety, regressions)
• OpenTelemetry instrumentation
• Shadow evals & drift detection

Minimum Qualifications

• 6–7+ years of ML/backend engineering in product environments
• Strong Python expertise (FastAPI, asyncio, pydantic)
• Experience shipping production AI/ML systems
• Experience in startup environments
• Real-time system experience
• Strong understanding of architecture, observability & reliability

Nice to Have

• DSPy, MiPRO, GEPA
• LLM evaluation frameworks / LLM-as-judge setups
• WebRTC/SRTP, SIP, TURN/SFU tuning
• GCP (Cloud Run, GKE, Pub/Sub, Vertex AI)
• Healthcare domain experience

Example Problems You’ll Solve

• Push median voice round-trip below 2 seconds while preserving turn-taking.
• Implement OTEL-first tracing for agent graphs with automated evaluation triggers.
• Improve RAG with hybrid retrieval + measurable faithfulness gains.
• Turn EHR integrations into reliable LLM tools.

Working Style

• Remote-first (EU time zones preferred)
• Barcelona office available
• Direct collaboration with Head of AI and Engineering
• Fast iteration, high ownership
• Strong architectural influence

We are looking for a SAR Processing Engineer – AI with hands-on experience combining raw SAR signal processing and AI models for object and structure recognition. This role sits at the intersection of radar physics, signal processing, and machine learning. You will design AI models that work directly on raw radar returns, integrate them into deployable systems, and validate them through real-world testing.

Our client is building next-generation AI-powered SAR sensing systems for exploration, reconnaissance, and material-penetrating detection. We work with government and defense customers to develop systems that “see through everything.” You will join an elite engineering team working directly with the founders in a unique location—a former Berlin airport with massive outdoor testing areas.

Work Model

• On-site preferred: Remote, but 1 time per month, need to fly to Berlin for field tests.

Experience Requirements

• Mid-level: 3–4 years of professional experience in signal processing or ML, with at least 1+ year of hands-on experience specifically with Synthetic Aperture Radar (SAR).
• Senior level: 5+ years of professional experience in radar systems or advanced signal processing, with a proven track record of applying AI/ML to raw sensor data.
• Core Focus: This is not a pure ML role. We require a deep understanding of radar physics combined with AI expertise.

Key Responsibilities

• AI/ML Development: Design and implement robust models for processing raw SAR data (Level 0) for object detection, structure recognition, and automated classification.
• System Integration: Integrate AI models into deployable SAR payloads for airborne (UAV) platforms and build production-ready real-time processing frameworks.
• Performance Optimization: Optimize compute performance across CPU and GPU architectures (CUDA).
• Cross-functional Collaboration: Work closely with SAR system engineers, RF/Hardware teams, and software developers.
• Testing & Validation: Lead data collection and testing for AI model validation across the full lifecycle: from simulation to field deployment.

Required Qualifications

• SAR Expertise: Hands-on experience with Synthetic Aperture Radar and raw (Level 0) radar data.
• Programming: Strong skills in Python and/or C++.
• Technical Depth: Solid understanding of radar systems, RF fundamentals, signal processing, and SAR calibration/error correction.
• Acceleration: Experience with CUDA / GPU acceleration is a strong plus.
• Mindset: Ability to bridge the gap between algorithm R&D and deployable production-grade code.

Preferred Qualifications

• Experience with airborne SAR payloads (UAV, aircraft) or material-penetrating SAR (soil/foliage).
• Background in defense or government-funded projects.
• Experience with NATO-restricted or export-controlled technologies.

Why Join?

• Real Impact: Work on technology that goes from the lab directly to field deployment to solve real-world defense challenges.
• Ownership: Be an early engineer shaping both the product and the company’s technical roadmap.
• Incentives: Competitive compensation plus VSOP (shares) / equity packages.

ML/CV engineer

We’re looking for a passionate Machine Learning / Computer Vision Engineer to join our team.

As a member of our team, you will participate in research & development of solutions in the field of computer vision, document understanding using cutting-edge machine learning approaches. The position will involve different aspects of R&D including initial research, analysis, prototyping and development. By joining our team you’ll be able to affect Ukrainian Deftech area innovations and contribute to important today’s military products.

Responsibilities:

• Research and development of Image Processing algorithms including CV algorithms
• Research and prototyping of detection and tracking algorithms using ML and CV
• Work with data collection and analysis in order to improve efficiency of ML/CV dependent algorithms

Job Qualification:

• 2 years of commercial experience with Python
• Demonstrated hands-on experience with TensorFlow, PyTorch
• Practical Experience with Machine Learning, including designing, training, fine-tuning of ML models, and integrating machine learning systems into production environments related to Computer Vision, Document Understanding
• Experience with Object Tracking area using ML/CV
• Experience with vision transformer, vision encoder-decoder architectures
• Strong analytical and communication skills

Will be a plus:

• Experience in Miltech development
• Experience with code performance optimization
• Master’s or Bachelor’s degree in computer science, math, statistics, or related field
• Experience in C/C++ 

Working Conditions:

• official employment 
• offline work for growing deftech company (remote is also option but mostly offline)
• military exemption

Sprinterra is a technology and consulting company delivering custom software solutions and digital transformation initiatives for clients in the US and Europe. We combine strong engineering practices, Agile delivery, and business-oriented thinking. A key focus for Sprinterra is the adoption of AI-driven solutions - both internally and in client projects - to significantly increase efficiency, quality, and scalability.

Role Overview
We are looking for a senior executive technology leader who will own and drive Sprinterra's overall Technology and AI vision at the company level. This role carries full responsibility for defining, implementing, and scaling our AI-first transformation strategy across internal operations, delivery models, and client solutions.

The primary objective is to reposition Sprinterra as an AI-enabled organization by systematically transitioning from traditional manual processes to AI Agents, intelligent automation, and augmented engineering workflows.

This role operates at the executive level in close partnership with the Management Board, contributing to company-wide strategic decisions, investment priorities, capability development, and long-term technology positioning.

The Technology & AI Strategy Lead combines strategic leadership with architectural oversight and hands-on technical credibility. In addition to setting direction, this leader ensures execution, guiding teams, shaping complex solution architectures, supporting pre-sales initiatives, mentoring senior engineers, and acting as the ultimate technical authority within the organization.

Why join Sprinterra?
This is a rare opportunity to define and implement an AI-first transformation from the ground up. You will shape how a growing international technology company evolves its delivery model, internal operations, and client solutions through AI Agents and intelligent automation.

As Technology & AI Strategy Lead, you will operate as a key executive partner to the Management Board, directly influencing company strategy, investment priorities, and long-term market positioning.

Your decisions will shape:

• How we work
• What we build
• How we compete
• How we scale

Key Responsibilities
AI & Technology Strategy

• Define, own, and continuously evolve Sprinterra's overall Technology and AI strategy at the company level
• Identify and prioritize strategic opportunities to transition from traditional delivery models to AI Agents, LLM-driven workflows, and intelligent automation
• Establish and govern a long-term AI transformation roadmap fully aligned with business objectives, growth targets, and market positioning
• Advise and report to the Management Board on technology vision, investment priorities, progress, risks, and measurable outcomes
• Lead company-wide adoption of AI tools, frameworks, and engineering standards
• Drive organizational evolution toward AI-augmented delivery models and next-generation engineering practices
• Define and enforce standards, governance models, and best practices for responsible, secure, and scalable AI implementation
• Ensure all AI initiatives meet enterprise-grade expectations in quality, security, compliance, and ethical responsibility

Hands-on Engineering & Architecture

• Provide executive-level technical oversight and intervene hands-on in strategically critical or high-complexity projects when required
• Define architectural principles and review system and AI architectures across the organization
• Ensure solutions are scalable, secure, maintainable, and aligned with long-term technology strategy
• Act as the ultimate technical authority and escalation point for complex architectural or engineering challenges

Pre-Sales & Technical Sales

• Lead and shape technical pre-sales strategy in collaboration with Sales and Delivery leadership
• Define high-level system architectures and AI-driven solution approaches for strategic client proposals
• Serve as a trusted executive-level technical advisor in client meetings, workshops, and negotiations
• Translate complex business challenges into differentiated, AI-enabled technology solutions that strengthen Sprinterra's market position

Required Skills & Experience

• 10+ years of progressive experience in software engineering, system architecture, and technology leadership
• Proven track record of defining and executing company-level technology and AI strategies
• Strong practical experience with AI/ML, LLMs, AI Agents, and intelligent automation in production environments
• Demonstrated ability to lead large-scale technology transformations, not just individual projects
• Hands-on technical background with the ability to dive deep when strategically necessary
• Experience aligning technology initiatives with business strategy, growth objectives, and market positioning
• Executive-level communication skills, with the ability to influence board members, senior stakeholders, and clients
• Experience leading technical pre-sales, shaping solution strategy, and representing technology at the executive client level
• Strategic leader with full ownership mindset and accountability for outcomes
• Capable of balancing long-term vision with disciplined execution
• Confident decision-maker comfortable operating with ambiguity and high impact
• Influential communicator able to align leadership, engineering, and business teams
• Drives change rather than maintaining status quo
• Trusted advisor to executive leadership and key clients

Philip Morris Ukraine, on behalf of its Partner, is looking for an AI Solutions Engineer. 
 

What You’ll Do:

• Translate Business Vision into Intelligent AI Solutions
  Analyze business requirements and translate them into machine learning or AI-driven solutions. Formalize problem statements, define success metrics, and propose optimal technical approaches aligned with business objectives.
• Drive Innovation with Emerging AI Technologies
  Research emerging AI approaches and implement best practices within the team. Evaluate new models, frameworks, and architectural patterns with a strong focus on business impact.
• Design High-Impact LLM & Prompt Strategies
  Develop prompt strategies and LLM-based pipelines. Optimize prompt structures, manage contextual inputs, and build stable interaction flows with large language models.
• Build Advanced RAG & Embedding Architectures
  Work with RAG architectures, embedding models, and vector databases. Design retrieval pipelines that ensure relevance, accuracy, and scalability of AI-powered solutions.
• Ensure Generative AI Quality & Reliability
  Evaluate generative model performance, including hallucination rates and response relevance. Establish testing, monitoring, and continuous improvement practices for LLM-based systems.
• Build Scalable ML & AI Solutions
  Develop and optimize large-scale data pipelines using advanced machine learning and AI. Create predictive models for segmentation, personalization, and behavioral forecasting—continuously improving accuracy and performance.
• Be a Strategic AI Partner Across Teams
  Collaborate with product managers, analysts, and developers to align on solution design and implementation. Support cross-functional decision-making by balancing speed, quality, and scalability.
   

Who Are We Looking For?
 

Hard Skills

• Higher Education in Computer Science, System Analysis, Informatics, Mathematics.
• 2+ years of experience translating complex business problems into actionable insights through hands-on analytics.
• 1.5+ years of experience in data science, machine learning, and predictive modeling.
  1.5+ years of Experience with LLMs, NLP, STT, RAG etc.
• Strong SQL and Python skills (e.g., NumPy, Pandas, scikit-learn, Matplotlib).
• Experience with BI tools like Power BI, Looker or Tableau is a plus
• Solid understanding of the ML lifecycle — from EDA to production deployment.
• English: Upper-Intermediate or higher.
   

Soft Skills

• High level of autonomy, ownership, and accountability.
• Excellent communication skills — able to explain complex ideas clearly.
• Passion for solving meaningful problems and improving consumer experience.
• Curiosity and drive to stay ahead in the fast-evolving analytics and AI landscape.
   

What We Offer: 

• Work with well-known global brands that have a strong history but are still open to trying new ideas.
• An easy entry into a global corporation with stability and long-term growth opportunities.
• A young, friendly, and experienced team that supports learning and development.
• Challenging and meaningful tasks are shaped by a highly regulated industry, where every solution requires creativity and smart problem-solving.
• Competitive level of compensation & social package.

A freshly funded seed-stage startup is looking for a highly skilled AI Engineer with strong experience in orchestrating multi-step LLM workflows, automated code generation, and compliance logic formalization; one who's comfortable testing hypotheses and working across different frameworks. In this role, you'll architect AI systems from scratch and own the full development cycle. There's plenty of room for experimentation and rapid iteration.

COMPANY

Arcyn is creating an AI-powered compliance checker for architectural design — an Autodesk Revit plugin that automatically checks designs against regulations. Architects get instant feedback on violations as they design in Revit, instead of waiting weeks for permit reviewers to tell them what's wrong.

We’ve just closed the seed round and are building the core technical team. We’re now a team of 4 with a track record of building complex technical products. This is a chance to join at the ground floor, shape product architecture and solve genuinely hard AI problems.


RESPONSIBILITIES: 

• Design and maintain modular, multi-step AI workflows for compliance automation. 
• Integrate multiple LLM providers (e.g., OpenAI, Anthropic, Perplexity) into a cohesive orchestration pipeline. 
• Build cost-optimized batch processing and intelligent API request strategies. 
• Translate complex regulations into structured, machine-executable logic. 
• Develop and validate automatically generated code to ensure correctness, safety, and performance. 
• Collaborate with domain experts to refine logic interpretation and edge case handling. 
• Maintain high-quality, well-structured Python codebases with clear separation of concerns. 

REQUIREMENTS  

• 5+ years of professional experience in ML/data science. 
• Strong Python skills, including experience writing production-grade, modular code. 
• Proven track record building multi-step LLM workflows (LangChain, LangGraph, or similar). 
• Experience in structured code generation and validation. 
• Strong debugging skills and comfort working with complex, evolving systems. 

NICE TO HAVEs: 

• Experience with compliance automation, technical regulations, or domain-specific rule translation. 
• Familiarity with Pydantic models or other type-safe data management frameworks. 
• Background in developer tooling or systems requiring high reliability and reproducibility. 
• Experience optimizing LLM API usage for both cost and speed. 

WE OFFER:

• B2B set-up via SP account
• Full-time remote role aligned with EEST
• Be part of the team shaping a new AI product at an early stage. 
• Freedom to architect solutions using the best tools for the job. 
• Collaboration with a multidisciplinary, innovation-driven team. 
• Flexible work arrangements and competitive compensation.

#WeAreIn for jobs that impact everyone's life. What if your ideas could change the way the world connects, powers up, or thinks? As a Senior AI/ML Engineer on our Research & Development team, you'll have the opportunity to merge creativity with your technical expertise by shaping the future of technology, driving groundbreaking projects, and bringing new ideas to life. Are you in?

Key responsibilities in your new role

Work on innovative IoT, Industrial, and Automotive technologies in a fast-moving R&D team, turning ideas into real products and patents. 

• Design and develop efficient Neural Network (NN) models with sophisticated architectures for embedded domain, strongly involving application-specific knowledge
• Plan and execute practical experiments to collect/create high-quality datasets
• Combine NN and classic signal processing approaches to make the highly efficient pipelines of problem solving
• Implement the developed solutions under real-world end-user scenarios and requirements and verify its functionality at the Infineon hardware (PSOC, wireless SOCs)
• Help with ML/AI related design and implementation in different team projects

Your Profile

Qualifications and skills to help you succeed

• A master’s degree in electrical engineering or computer science (or equivalent) and 2-3 years of related research/engineering experience
• Strong background in mathematical modeling and numerical analysis
• Knowledge of modern NN architectures, Machine Learning tools and trends
• Proficiency in Python and at least one ML framework (PyTorch or TensorFlow)
• Experience with at least one of the following: signal / speech /image / video processing / wireless communication is a plus
• Understanding of embedded systems and Knowledge of Nvidia Deep Learning framework, and familiarity with patents, papers, publications on relevant technical subject matter is a plus
• Intermediate English writing, communication, and presentation skills

Please send us your CV in English.

👋 Hey! We are Kultprosvet — a team of passionate web and mobile developers who build meaningful products with care.
We’re expanding and looking for an experienced Senior Computer Vision Engineer to join our team and take ownership of the AI/ML direction in one of our key products.

📸 About the Project:

Our platform empowers photographers by combining beautiful online galleries, smart automation, and eCommerce tools.
Through the power of AI and machine learning, we automate image recognition, enhance visuals, and unlock new business potential for creatives worldwide.

You’ll be working on the core AI layer of a high-impact real-world product used by professional photographers and their clients.

✅ Requirements:

• Source Code Management
• Solid understanding of data structures, data science techniques, and algorithms
• Experience with Python and data processing tools (SciPy, NumPy, Pandas, etc.)
• Experience with ML model creation in PyTorch
• Experience with the development of APIs for ML models
• Upper-Intermediate English speaking skills

➕ Nice to Have:

• Experience with modern AI techniques such as transformers and contrastive pretraining

You will:

• Creating AI/ML-based algorithms for computer vision tasks
• Building and maintaining the infrastructure for data and model management
• Organizing ML model training

• Integrating AI/ML-based services with the project

   

🎁 What We Offer:

🏡 Flexible work setup — remote or from our office in Dnipro.
💰 Senior-level compensation, paid vacations, and sick leave.
🩺 Medical insurance and full accounting support.
📚 Budget for courses, conferences, and professional development.
🧠 Coverage for psychotherapy sessions — your well-being matters.

💡 If you’re ready to take full ownership of CV/ML in a fast-moving, high-impact product — let’s talk! 🚀

COMPANY

Arcyn is a freshly funded seed stage startup. We’re creating an AI-powered compliance checker for architectural design — an Autodesk Revit plugin that automatically checks designs against regulations as they're being created. Architects get instant feedback on violations as they design in Revit, instead of waiting weeks for permit reviewers to tell them what's wrong.

We’ve just closed pre-seed round and are building core technical team. We’re now a team of 4 with a track record of building complex technical products, and we're looking for a strong AI engineer who's comfortable testing hypotheses and working across different frameworks. This is a chance to join at the ground floor, shape product architecture and solve genuinely hard AI problems.

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In this role, you'll architect AI systems from scratch and own the full development cycle, there's plenty of room for experimentation and rapid iteration. We're seeking a highly skilled AI Engineer with strong experience in orchestrating multi-step LLM workflows, automated code generation, and compliance logic formalization.

RESPONSIBILITIES: 
• Design and maintain modular, multi-step AI workflows for compliance automation. 
• Integrate multiple LLM providers (e.g., OpenAI, Anthropic, Perplexity) into a cohesive orchestration pipeline. 
• Build cost-optimized batch processing and intelligent API request strategies. 
• Translate complex regulations into structured, machine-executable logic. 
• Develop and validate automatically generated code to ensure correctness, safety, and performance. 
• Collaborate with domain experts to refine logic interpretation and edge case handling. 

• Maintain high-quality, well-structured Python codebases with clear separation of concerns. 

REQUIREMENTS  
• 5+ years of professional software engineering experience. 
• Strong Python skills, including experience writing production-grade, modular code. 
• Proven track record building multi-step LLM workflows (LangChain, LangGraph, or similar). 
• Experience in structured code generation and validation. 
• Strong debugging skills and comfort working with complex, evolving systems. 

   NICE TO HAVEs: 
   • Experience with compliance automation, technical regulations, or domain-specific rule translation. 
   • Familiarity with Pydantic models or other type-safe data management frameworks. 
   • Background in developer tooling or systems requiring high reliability and reproducibility. 
   • Experience optimizing LLM API usage for both cost and speed. 

WE OFFER:

• B2B set-up via SP account
• Full-time remote role aligned with EEST
• Be part of the team shaping a new AI product at an early stage. 
• Freedom to architect solutions using the best tools for the job. 
• Collaboration with a multidisciplinary, innovation-driven team. 
• Flexible work arrangements and competitive compensation.

Project Overview 

The project involves creating an intelligent chatbot that enables users to query a complex knowledge base (intranet pages, posts, PDFs, etc.). The technical challenge is building a high-performance AI service within the existing .NET ecosystem. The solution must handle sophisticated multi-tenant access control, ensuring the AI generates answers strictly based on the user's dynamic access rights. 

Technical Approach 

• AI Service: Developed as a standalone microservice using .NET 8/9 and C#. 
• Integration: Seamless communication with the existing .NET/Angular platform via REST API. 
• AI Frameworks: Utilization of Microsoft Semantic Kernel or similar .NET-native AI orchestration tools. 

• Core Logic: Implementation of RAG (Retrieval-Augmented Generation) pipelines and vector search within the .NET stack. 

   

Duties and Responsibilities 

• Design and implementation of a .NET-based AI microservice utilizing OpenAI models. 
• Development of RAG pipelines in C# to process and retrieve information from various document formats. 
• Implementation of Tenant-Aware AI logic to mirror the platform’s dynamic role-based access structure. 
• Ensuring high response quality with mandatory Source Attribution (links to original documents). 
• Applying technical guardrails to minimize hallucinations and ensure factual accuracy. 
• Deploying and managing the microservice within a Dockerized environment. 
• Collaborating with the core .NET team to define a scalable integration and data synchronization strategy. 

• Creating technical documentation for the internal development team. 

   

Skills and Qualifications 

• B.Sc. or M.Sc. degree in computer science, applied math, or similar. 
• 7+ years of experience in .NET development (C#), with a strong focus on backend architecture. 
• 2+ years of experience working with Generative AI, LLMs, and OpenAI APIs within the .NET ecosystem. 
• Proficiency in Microsoft Semantic Kernel, AutoGen, or LangChain.net. 
• Solid understanding of vector databases (e.g., Pinecone, Weaviate, or pgvector) and RAG techniques. 
• Experience with Docker and cloud-native deployment (AWS, UpCloud, or Azure). 
• B2+ English communication skills. 
• High responsibility, pro-activity, and attention to technical details. 

We're hiring Low-Level Engineers to design and build RL environments that teach LLMs kernel development, hardware optimization, and systems programming. The goal is to create realistic feedback loops where models learn to write high-performance code across GPU and CPU architectures.

This is a remote contractor role with ≥4 hours overlap to PST and advanced English (C1/C2) required.

Requirements

Minimal Qualifications

• Strong Python (engineering-quality, not notebook-only)
• Production mindset (debugging, reliability, iteration speed)
• Clear understanding of LLMs, their current limitations
• Ability to meet throughput expectations and respond quickly to feedback

You may be a good fit if one of the following applies

• Deep understanding of memory hierarchies (registers, L1/L2/shared memory, HBM, system RAM) and their performance implications
• Threading models, synchronization primitives, and concurrent programming (warps, thread blocks, barriers, atomics)
• Cache coherence, memory access patterns, coalescing, and bank conflicts
• JIT compilation frameworks (e.g., Triton, JAX/XLA, TorchInductor, Numba)
• AOT compilation and optimization passes (LLVM, MLIR, TVM)
• Compiler and kernel frameworks such as CUTLASS, BitBLAS, or JAX/Pallas
• Modern C++, including templates, concurrency, and build systems
• Assembly-level programming and low-level optimization across GPU and CPU architectures (e.g., x86, ARM, NVIDIA Hopper, NVIDIA Blackwell)
• Debugging and optimizing GPU kernels using CUDA and/or HIP/ROCm
• Developing PyTorch custom operators, backend extensions, or dispatcher integrations (e.g., ATen, TorchScript, or custom backends)
• Customizing, extending, or optimizing c, including distributed inference workflows
• GPU communication libraries and collectives, such as NVIDIA NCCL, AMD RCCL, MPI, or UCX
• Mixed-precision and low-precision kernels (e.g., FP16, BF16, FP8, INT8), including numerical stability and performance trade-offs

We’re hiring RL Environments Engineers to design and build MLE/SWE environments that deliver high-quality, diverse tasks with minimal supervision. You will target a specific language model, meet a defined difficulty distribution, and deliver about one task every 10 hours. This is a remote contractor role with ≥4 hours overlap to PST and advanced English (C1/C2) required.

Responsibilities

• Design and build MLE/SWE environments and diverse tasks.
• Target a specified language model and satisfy the required difficulty distribution.
• Deliver ~1 task per 8-10 hours once onboarded.
• Edit tasks within 24 hours based on customer feedback.
• Onboard quickly and start delivering on day one with minimal supervision.
  
   

Requirements

What we’re looking for (must-haves)

• Strong Python (engineering-quality, not notebook-only).
• Hands-on LLM/GenAI work in production: you’ve shipped and operated real systems (not “wrapped an API and called it AI”).
• Strong product/engineering ownership: comfortable building, fixing, and scaling end-to-end pipelines.
• Docker + production mindset (debugging, reliability, iteration speed).
• ≥4 hours PST overlap and advanced English (C1/C2) for specs, reviews, and feedback.
• Ability to meet throughput expectations and respond quickly to feedback.
   

Strong signals (nice-to-have, big plus)

• Experience designing environments/tasks for RL and/or evaluations.
• Experience in high-stakes or regulated domains (e.g., healthcare, finance, fraud/risk, safety-critical systems).
• ML systems experience: CI/CD, monitoring, evaluation harnesses, MLOps, scalable pipelines.
• Systems depth: C++/Rust/Scala/Java, performance/infra optimization, distributed systems.
• Exposure to RL / bandits / agentic systems (not required, but a strong signal).
   

Not a fit if

• You’re primarily a prompt engineer without strong ML/engineering foundations.
• You’re a research-only / academic-only profile with little or no shipping/production ownership.
• You’ve only built in notebooks or rely heavily on managed AutoML tools.
  
   

Working Conditions

• Remote, independent contractor engagement.
   
• 40 hours/week - full time - need 4 hours overlap in the working hours with the team in Pacific time zone;
• Deliverables-driven; begin shipping on day one.

Conversion & relocation: Potential path to FTE and relocation to the Bay Area if performance and mutual fit align.
 

Project Overview:

We are looking for a AI engineer with strong LLM expertise to drive AI initiatives end-to-end — from architecture and implementation to direct collaboration with clients.

Customer Overview:

AI-native financial wellness platform designed specifically for professional athletes, helping them make smarter financial decisions throughout their careers and long after retirement. The platform combines advanced analytics, personalized AI-driven insights, and intuitive financial planning tools to support athletes in managing income, investments, expenses, long-term savings, and financial risks.
 

Responsibilities:

Lead LLM-based solutions from discovery to production

Act as a client-facing engineer:

• Participate in discovery calls & workshops
• Translate business needs into technical solutions
• Explain AI trade-offs, costs, risks, and scalability

Collaborate closely with Sales, Presales, and Delivery

Ensure security, scalability, and cost efficiency of AI solutions

Skills/Requirements:

5+ years in AI

Hands-on experience with LLMs in production

Strong knowledge of:

• LLM APIs & platforms (OpenAI, Azure, AWS Bedrock, Python etc.)
• Self-hosted LLMs & inference optimization
• RAG, vector DBs (Pinecone, Weaviate, FAISS, Milvus)

Experience with model fine-tuning and deployment

• Experience working directly with clients
• Strong communication & presentation skills
• Ability to work in presales / solution design contexts