Jobs ML / AI

We are looking for a Full Stack Engineer to join enterprise AI projects focused on intelligent automation, AI integrations, and modern internal platforms.
You’ll work on scalable web applications powered by Python, React, cloud technologies, and LLM-based features.

Requirements

• Strong experience with Python
• Experience with FastAPI or similar backend frameworks
• Commercial experience with React.js
• Experience building REST APIs and full stack applications
• Familiarity with cloud platforms (preferably Azure)
• Understanding of scalable architectures and software engineering best practices

Nice to Have

• Experience with AI/LLM integrations
• Familiarity with LangChain, LangGraph, or AI agent frameworks
• Experience with Azure OpenAI or similar AI services
• TypeScript, Docker, CI/CD experience
• Experience with async processing, queues, or event-driven systems

Responsibilities

• Develop and maintain full stack applications
• Build backend services and frontend interfaces
• Integrate AI capabilities into enterprise products
• Collaborate with engineering and product teams
• Contribute to architecture, deployment, and performance improvements

Role Overview

We are an established tech company scaling our core enterprise platform. We are looking for an experienced AI Architect to design and implement intelligent, generative AI features into our existing highly-loaded backend infrastructure.

We are not looking for a Data Scientist to train foundational models from scratch. We need a seasoned software architect who understands how to treat AI components as powerful integration points, building resilient, secure, and lightning-fast MLOps infrastructure around them. You will lead the transition to an AI-native architecture, ensuring our enterprise applications handle high-throughput AI requests seamlessly.

Tech Stack & Core Responsibilities

LLM Integration & Fundamentals

• Deep understanding of LLM APIs under the hood, with a strong focus on optimizing streaming, maximizing throughput, and minimizing Time-to-First-Token (TTFT).
• Advanced manipulation of context windows, tokens, Temperature, and Top-P settings for enterprise accuracy.
• Experience evaluating and deploying both proprietary foundational models (GPT-4o, Claude 3.5) and Open-Source models (Llama 3, Mistral) based on cost and privacy requirements.

.NET & AI Ecosystem Integration

• Designing AI-native microservices on the Microsoft stack using Semantic Kernel (developing Plugins, Planners, and managing Memory).
• Managing Azure OpenAI Service deployments, including enterprise security configurations, quota management, and Provisioned Throughput Units (PTU).
• Familiarity with alternative orchestration frameworks like LangChain and LlamaIndex for architectural benchmarking.

Enterprise RAG & Data Infrastructure

• Architecting robust Retrieval-Augmented Generation (RAG) systems, building high-throughput Ingestion (vectorization) and Retrieval (search) pipelines.
• Implementing complex document chunking strategies and solving the "Lost in the middle" context problem.
• Hands-on expertise with Vector Databases (Pinecone, Qdrant, Milvus, pgvector) and managing embeddings for similarity search.
• Optimizing search relevance through Hybrid Search architectures (combining Keyword and Vector search).

Advanced AI Patterns

• Designing GraphRAG architectures utilizing graph databases (like Neo4j) to maintain complex contextual relationships for domain-specific queries.
• Orchestrating Multi-Agent Systems (using frameworks like Microsoft AutoGen) to automate multi-step operational workflows.
• Implementing Agentic Workflows leveraging advanced Function Calling and Tool Calling capabilities.

High-Load AI Infrastructure & MLOps

• Deploying and optimizing LLMs in localized environments using vLLM or TensorRT-LLM for efficient request batching.
• Integrating LLMs into event-driven architectures utilizing message brokers (Kafka or RabbitMQ) for asynchronous inference and load leveling.
• Establishing comprehensive LLM Observability to monitor pipelines, gather metrics, and automatically evaluate hallucination rates.

Why Join Us?

• Full autonomy to design the AI architecture for a mission-critical, revenue-generating system.
• Direct influence on the company's long-term technical strategy and AI integration roadmap.
• Remote-first culture surrounded by high-level engineering peers.

How to Apply

Please start your application with the word "Architecture". Provide a brief summary of a complex AI integration challenge you solved: what was the bottleneck (e.g., latency, context limits, architectural coupling), how did you resolve it, and what was the business outcome?

We are building the next generation of AI Agentic Marketing Solutions specifically for the Game Development industry. We don’t just build simple chatbots; we build autonomous agents that plan, execute, and optimize User Acquisition (UA) and marketing campaigns for gaming studios.

We are looking for a versatile Product Engineer based in Europe to join our high-performance team and build the end-to-end features that power our agents.

The Role

You will be the bridge between our AI logic and the user experience. You will work across the entire stack—from developing AI agents to building the FastAPI endpoints that drive our agents that our clients use to manage their AI marketing teams.

Key Responsibilities

• Agents Development: Build and maintain AI agents and features from the database level up to the UI.
• Agent Integration: Work closely with our AI team to integrate LangGraph/LangChain workflows into the platform.
• API Design: Develop and optimize high-performance APIs using Python (FastAPI).

Requirements

• AI Expertise: Proven track record of building and scaling AI-powered products. You know the difference between a tutorial and a production-grade agentic system. While you don't need to be an AI researcher, you should have experience with LLM integration and agentic frameworks. 
• Engineering Mastery: 5+ years of experience in software engineering. Solid Python skills with a focus on asynchronous programming (FastAPI, AsyncIO). Familiarity with PostgreSQL, Redis, and modern CI/CD practices. 
• Agentic Frameworks: Deep experience with LangGraph, LangChain, and/or similar libraries.
• Product Mindset: You care about the user experience and understand how your code impacts the business goals of our GameDev clients. 

What We Offer

• High Impact: No bureaucracy. Your code shapes the future of GameDev marketing.
• Elite Team: Work alongside senior experts who value "Delivery in 1 Second" and relentless improvement.
• Medical Insurance in Ukraine and Multisport program in Poland.
• Offices in Ukraine (Kyiv, Kharkiv) and Poland (Wroclaw) or Remote.
• Paid vacation, sick leaves, and official holidays.
• Legal & Accounting services.
• The company provides all necessary equipment.
• English classes and Education reimbursement.

We are building the next generation of AI Agentic Marketing Solutions specifically for the Game Development industry. We don’t just build simple chatbots; we build autonomous agents that plan, execute, and optimize User Acquisition (UA) and marketing campaigns for gaming studios.

We are looking for an AI Jedi—a top-tier engineer who lives and breathes agentic orchestration and can solve the most complex problems in the LLM space.

The Role

This is a high-impact, individual contributor role for a master of AI engineering. You will be responsible for the "brain" of our platform. We need someone who can move beyond basic RAG and prompt engineering to build sophisticated, self-correcting, and autonomous agentic workflows that deliver results for the world’s biggest gaming studios.

Key Responsibilities

• Architecting Autonomy: Design and implement high-level agentic orchestration using LangGraph or custom state-machine frameworks.
• AI Excellence: Solve complex challenges related to agent memory, long-term planning, and multi-agent collaboration.
• Performance & Reliability: Build robust evaluation loops and guardrails to ensure our agents perform reliably in production environments.
• Innovation: Stay at the absolute bleeding edge of AI research, quickly turning new papers and techniques into production-ready features.

Requirements

• Deep AI Expertise: Proven track record of building and scaling AI-powered products. You know the difference between a tutorial and a production-grade agentic system.
• Python Mastery: Expert-level Python skills with a focus on asynchronous programming (FastAPI, AsyncIO).
• Agentic Frameworks: Deep experience with LangGraph, LangChain, and/or similar libraries.
• Infrastructure Savvy: Comfortable with Vector Databases, high-scale data pipelines, and cloud infrastructure (AWS/K8s).
• Startup DNA: You are a "Builder." You value speed, pragmatism, and shipping code that works over theoretical perfection.

What We Offer

• High Impact: No bureaucracy. Your code shapes the future of GameDev marketing.
• Equity & Growth: A fast-track path to a key leadership role with a stake in the company’s success.
• Elite Team: Work alongside senior experts who value "Delivery in 1 Second" and relentless improvement.
• Medical Insurance in Ukraine and Multisport program in Poland.
• Offices in Ukraine (Kyiv, Kharkiv) and Poland (Wroclaw) or Remote.
• Paid vacation, sick leaves, and official holidays.
• Legal & Accounting services.
• The company provides all necessary equipment.
• English classes and Education reimbursement.

Who are we?

Sempico Solutions is an international telecom company and business messaging service built around our own product — the Gatum messaging platform. We help our clients deliver different types of messages, such as marketing campaigns, verification messages, OTPs (one-time passwords), and more.

Our mission is to provide fast, simple, and reliable communication between businesses and customers — through SMS and messaging apps — with global reach, anywhere, always.

Our benefits:

• Work in a fast-growing product company where you can grow together with the business.
• Annual paid vacation of 24 calendar days and paid sick leave.
• Remote working format.
• Convenient working hours from Monday to Friday from 9:00 to 18:00 UTC+2 (including 1 hour for lunch).
• Competitive salary: base rate with an opportunity to review each 6 months.
• Step-by-step onboarding and training process.
• Planning your individual career path together with your manager.
• Reimbursement of expenses for professional development courses/certifications (up to 75% in agreement with the management).
• Strong positive product-company culture with a good sense of humor.

What about the team?

🏡 100% remote | 🌎 Global team

At our company, everyone is on a first-name basis. There's no unnecessary bureaucracy. We work together, support each other, and move toward common goals. At Sempico Solutions, you'll quickly feel what it means to be a real part of the Team.

Requirements

At Sempico Solutions, we're looking for a hands-on AI Engineer (Middle+/Senior) who doesn't just experiment with models — but builds AI systems that work reliably in production and deliver measurable impact on real business processes.

You are someone who thinks in terms of quality metrics, not "generally good." You bring structure to data and logic, take ownership of AI outcomes, and know how to move from idea to stable production without losing quality along the way.

Our ideal candidate has:

• 3+ years of experience in AI/ML in production environments (not pet projects).
• Confident Python skills — your primary working language.
• Hands-on experience with LLM APIs in production (OpenAI, Anthropic, or open-source models).
• Systematic approach to prompt engineering: versioning, A/B testing, quality control.
• End-to-end RAG architecture experience: chunking, embeddings, retrieval, reranking, vector databases (Pinecone, Qdrant, Weaviate, or pgvector).
• Experience building AI evaluation frameworks — automated quality tests for AI responses.
• Knowledge of privacy and GDPR considerations when working with client data.
• REST API integration experience and async I/O work.
• Basic DevOps skills: Docker, monitoring, logging.
• Fluent Ukrainian (C1 or native) and English at B2 Upper Intermediate level or higher (both spoken and written).
• Understanding of prompt injection risks and data leak prevention.

Nice to have:

• Experience integrating messengers: Telegram Bot API, WhatsApp Business API, Microsoft Teams Graph API.
• Experience with support platforms: HelpCrunch, Intercom, or Zendesk API.
• Familiarity with LangChain, LlamaIndex, or Haystack.
• Classical ML background: scikit-learn, PyTorch, or TensorFlow.
• Experience in CPaaS / SMS industry.
• Automation tools: n8n, Zapier, or Make — for rapid flow prototyping.
• PHP reading ability (to navigate the existing product codebase).
• Experience building AI systems from scratch in a startup environment.

What You'll Do

• Build and maintain a unified client inbox — bringing all communication channels (Telegram, WhatsApp, Teams, HelpCrunch, email) into one structured place.
• Launch and continuously develop the AI Support mechanism across all client chat channels.
• Form and maintain the knowledge base that powers AI responses.
• Monitor AI response quality in production: track metrics, run A/B tests, proactively detect degradation.
• Control and optimize AI call costs — you know what your solution costs per month in tokens.
• Integrate AI into other business processes: sales, analytics, and internal tooling.
• Document AI architecture, flow logic, and known limitations clearly — for both technical and non-technical colleagues.

ABOUT THE COMPANY
AI startup building digital employees (AI agents) that handle real business operations — not another ChatGPT wrapper. Our architecture: a modular monolith (uv workspaces + Turborepo) that cleanly extracts into microservices once product-market fit is reached.

RESPONSIBILITIES
— Rapid MVP development of AI agents
— Building and maintaining agent graphs with LangGraph
— Background task orchestration (Temporal — upcoming)
— Enforcing strict modularity within the monorepo
— Working with LLMs and vector databases

MUST-HAVE
— Senior Python / Backend engineer
— Strong FastAPI and PostgreSQL skills
— Solid understanding of modular architecture
— Hands-on experience building multi-agent systems with LangGraph

NICE-TO-HAVE
— Product thinking
— React / Next.js
— Temporal (orchestration)
— Vector DBs: Qdrant, pgvector
— FinOps/LLMOps: LiteLLM, Traceloop
— Evals: Ragas
— Vercel AI SDK

OFFER
— Fully remote
— No bureaucracy, fast processes
— Strong team, rapid growth

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.

–––––––––––––––––––––––––––––Українською–––––––––––––––––––––––––––––

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.

We are looking for a specialist who will be responsible for the development and maintenance of a complex AI-powered search system built on top of a large interactive knowledge base. The system includes tool calling and agentic behavior that interact with internal tools and multiple types of storage: vector databases for semantic search, document-oriented databases for full-text search, as well as relational and graph databases for lookup by specific identifiers. The search interface is built as an LLM-powered chat that supports natural language queries and returns well-grounded conclusions, recommendations, and links to primary sources.

The candidate will be responsible for designing and implementing the full LLM-powered search pipeline, including orchestration, reasoning, reranking, tool calling, handling tool outputs, validating results, and generating final user-facing responses.

We expect the candidate to:

• Have hands-on commercial experience working with vLLM in self-hosted environments, including model optimization on H100/H200 GPUs, with a solid understanding of GPU architecture principles and cache behavior under production workloads.
• Have a deep understanding of the RAG concept and a proven track record of successfully deploying similar solutions in production.
• Have worked with Haystack, LlamaIndex, LangChain, or similar frameworks, and understand the core differences between them.
• Have experience using MCP and working with LLMs that call external tools and services.
• Have strong Python skills, including architectural principles, design patterns, multithreading, asynchronous programming, modern testing practices, and experience operating systems under load (monitoring, memory optimization, telemetry).
• Have experience working with document-oriented, relational, and vector databases, including an understanding of index types and the appropriate use cases for each.

It would be a plus if you have:

• Experience building or maintaining knowledge bases, AI-powered reporting systems, or chatbots with large context windows.
• Experience training or fine-tuning LLMs or compact models for domain-specific tasks.
• Practical DevOps experience: CI/CD, Kubernetes, Helm, ArgoCD.
• Experience developing OCR- and Vision-Language-based systems for processing unstructured data.
• Experience in data engineering: understanding of ETL/ELT processes, working with orchestrators (Airflow, Temporal, Prefect), and distributed computing systems (Ray, Spark).
• Experience working with Elasticsearch, MongoDB, PostgreSQL, Qdrant/Milvus, Neo4j, and other database systems.
• Understanding of cybersecurity processes and modern approaches to data protection.

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.

––––––––––––––––––––––––––––Українською––––––––––––––––––––––––––––

Шукаємо фахівця, який буде відповідати за розробку та супровід комплексної AI-powered пошукової системи на основі великої інтерактивної бази знань. У системі реалізовано tool calling та agentic behaviour, що працюють із внутрішніми інструментами та різними типами сховищ: векторними базами для семантичного пошуку, документоорієнтованими для повнотекстового пошуку, а також реляційними та графовими базами для пошуку за конкретними ідентифікаторами. Інтерфейс пошуку побудовано у форматі LLM-powered чату, який підтримує запити natural language і повертає аргументовані висновки, рекомендації та посилання на першоджерела. 

У зону відповідальності кандидата входитиме проєктування та впровадження повного пайплайну LLM-powered пошуку, включно з orchestration, reasoning, reranking, tool calling, обробкою відповідей інструментів, валідацією результатів та формуванням фінальних відповідей для користувача. 

Ми очікуємо, що кандидат: 

• Має практичний комерційний досвід роботи з vLLM у self-hosted середовищах, включно з оптимізацією моделей на GPU H100/200, розумінням принципів GPU-архітектур та поведінки кешу під продакшн-навантаженням. 
• Глибоко розуміє концепцію RAG та має досвід успішного впровадження подібних рішень у продакшені. 
• Працював з Haystack / LlamaIndex / LangChain або аналогічними фреймворками та орієнтується в принципових відмінностях між ними. 
• Має досвід використання MCP та роботи з LLM, які викликають зовнішні інструменти й сервіси. 
• Володіє Python на високому рівні: архітектурні принципи, шаблони проєктування, багатопоточність, асинхронність, сучасні практики тестування, а також досвід експлуатації систем під навантаженням (моніторинг, оптимізація пам'яті, телеметрія). 

• Має досвід роботи з документоорієнтованими, реляційними та векторними базами даних, включно з розумінням типів індексів і відповідних сценаріїв застосування. 

   

Буде плюсом: 

• Досвід створення або підтримки баз знань, систем генерації звітів на базі AI, розробка чатботів із великим контекстним вікном.
• Досвід навчання або fine-tuning LLM чи компактних моделей для специфічних задач. 
• Практичний досвід у DevOps: CI/CD, Kubernetes, Helm, ArgoCD. 
• Досвід розробки систем на основі OCR та Vision-Language моделей для обробки неструктурованих даних. 
• Досвід у data engineering: розуміння ETL/ELT-процесів, робота з оркестраторами (Airflow, Temporal, Prefect) та системами розподіленого обчислення (Ray.io, Spark). 
• Досвід роботи з Elasticsearch, MongoDB, PostgreSQL, Qdrant/Milvus, Neo4j та іншими СУБД. 
• Розуміння процесів кібербезпеки та сучасних підходів до захисту даних. 
   

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.

You will work on scalable AI solutions, developer-focused tools, workflow automation, and AI capabilities that improve engineering productivity and deliver real business value for clients.

Responsibilities:

— Design, build, and deploy LLM-based applications and agentic AI systems from prototype to production.

— Develop production-grade AI agents, multi-agent systems, and tool-using workflows.

— Implement RAG pipelines over proprietary and third-party data sources.

— Build and maintain vector databases for AI data storage, retrieval, and search.

— Design and implement AI-powered capabilities such as code assistance, documentation generation, test automation, summarization, knowledge discovery, and code review support.

— Evaluate foundation models such as OpenAI, Anthropic, Gemini, Llama, and other commercial or open-weight models.

— Build LLM evaluation and benchmarking pipelines, including offline tests, online monitoring, human-in-the-loop review, and quality measurement.

— Improve model performance across relevance, faithfulness, latency, throughput, reliability, and cost.

— Design and maintain APIs, backend services, integrations, data flows, and custom tools for AI systems.

— Build custom tools, skills, integrations, and MCP-style server/client patterns for agentic workflows.

— Deploy, monitor, and optimize AI systems on cloud platforms, with a focus on scalability, reliability, observability, and cost efficiency.

Requirements: 

— 2+ years of hands-on experience building and deploying LLM-based applications, RAG systems, or AI agents in production.

— Strong Python experience, ideally 3+ years.

— Experience building backend systems, APIs, services, integrations, and data flows.

— Experience with object-oriented programming, backend architecture, design patterns, and production system design.

— Hands-on experience with LangChain, LangGraph, or similar AI orchestration frameworks.

— Strong experience designing agentic AI systems, tool-using agents, or multi-step AI workflows.

— Experience with RAG architecture, including chunking strategies, embeddings, vector databases, reranking, and retrieval evaluation.

— Experience with vector databases such as Pinecone, Weaviate, Qdrant, Chroma, Milvus, or similar.

— Experience with LLM evaluation and benchmarking, including designing evaluation pipelines and measuring model performance.

— Strong prompt design, prompt iteration, and prompt optimization skills.

— Experience working with major model providers or open-weight models such as OpenAI, Anthropic, Gemini, Llama, or similar.

— Cloud experience with AWS, GCP Vertex AI, Azure AI Foundry, or similar platforms.

— Familiarity with AI safety, responsible AI, guardrails, and output validation for production systems.

— Experience with CI/CD pipelines, deployment workflows, and engineering best practices.

We offer:

— remote time job, B2B contract
— 12 sick leaves and 18 paid vacation business days per year
— Comfortable work conditions (including MacBook Pro and Dell monitor on each workplace)
— Smart environment
— Flexible work schedule
— Competitive salary according to the qualifications

Inception-1 is a product company that creates AI-driven B2C products designed to help people feel more connected and less alone. Our mission is to build meaningful digital experiences that blend technology with empathy — and to prove that technology can be both human and transformative.

We’re looking for a AI/ML Product Engineer who will be responsible for delivery of AI-driven features of our product (which are the core) 
We want you to be responsible for solving complex user’s problems – delivering ready-to-use features and final value to user
This is hands-on role which requires mix of business acumen, team management and sufficient technical expertise in implementing visual and conversational AI models
Ideal candidate would have either experience of own AI-first project development (no, chat-bot is not there…) or managing the team of ML engineers with clear business impact. 
Both cases imply experience with agentic coding and AI tools/ agent integration - eg. you built pipeline with comfy for your companion/ developed support agents’ chain on n8n/ built context prompting architecture for your assistant/ etc. 

Responsibilities:

• Own the end-to-end product lifecycle with a strong technical focus: discovery, specification, delivery, and iteration.
• Act as a bridge between business and engineering: translate product goals into clear technical requirements and vice versa.
• Define product requirements for AI-powered features (logic, constraints, data dependencies, edge cases).
• Work closely with engineers to shape system architecture, API contracts, data flows, and technical trade-offs.
• Design, run, and interpret A/B tests, including experiments impacting AI behavior, personalization, and monetization.
• Prioritize roadmap, features, and technical debt based on business impact, system limitations, and user value.
   

Requirements:

• 2+ years of experience as a Product Manager in multi-purpose AI-first products (eg. not only conversational module, but also voice/ image generation/ video/ OCR/ etc.).

OR

• Founder of AI-first startup with seed round closed.
• Strong technical background (engineering, computer science, or equivalent hands-on experience).
• Rapid prototyping or scripting skills to validate ideas quickly.
• Hands-on experience in implementation of AI features, at least – API services, self-developed multi-purpose agents, etc.
• Ability to reason about trade-offs between speed, quality, scalability, and technical complexity.
• Excellent ability to align technical and non-technical stakeholders.
   

Nice to Have:

• Experience with AIAI companionship, social discovery, chat, or personalization system.
• Ability to read code and participate in technical discussions (even without being the primary implementer).
• Experience with prompt-based systems, model evaluation, AI quality metrics.
   

What We Offer:

• Real ownership — full responsibility for a core AI product used by millions worldwide.
• Technical impact — shape how AI systems are designed, shipped, and scaled in production.
• Entrepreneurial ecosystem — part of Genesis, with access to resources, funding, and the option to launch your own startup.

You will work on scalable AI solutions, developer-focused tools, workflow automation, and AI capabilities that improve engineering productivity and deliver real business value for clients.

Responsibilities:

— Design, build, and deploy LLM-based applications and agentic AI systems from prototype to production.

— Develop production-grade AI agents, multi-agent systems, and tool-using workflows.

— Implement RAG pipelines over proprietary and third-party data sources.

— Build and maintain vector databases for AI data storage, retrieval, and search.

— Design and implement AI-powered capabilities such as code assistance, documentation generation, test automation, summarization, knowledge discovery, and code review support.

— Evaluate foundation models such as OpenAI, Anthropic, Gemini, Llama, and other commercial or open-weight models.

— Build LLM evaluation and benchmarking pipelines, including offline tests, online monitoring, human-in-the-loop review, and quality measurement.

— Improve model performance across relevance, faithfulness, latency, throughput, reliability, and cost.

— Design and maintain APIs, backend services, integrations, data flows, and custom tools for AI systems.

— Build custom tools, skills, integrations, and MCP-style server/client patterns for agentic workflows.

— Deploy, monitor, and optimize AI systems on cloud platforms, with a focus on scalability, reliability, observability, and cost efficiency.

Requirements: 

— 2+ years of hands-on experience building and deploying LLM-based applications, RAG systems, or AI agents in production.

— Strong Python experience, ideally 3+ years.

— Experience building backend systems, APIs, services, integrations, and data flows.

— Experience with object-oriented programming, backend architecture, design patterns, and production system design.

— Hands-on experience with LangChain, LangGraph, or similar AI orchestration frameworks.

— Strong experience designing agentic AI systems, tool-using agents, or multi-step AI workflows.

— Experience with RAG architecture, including chunking strategies, embeddings, vector databases, reranking, and retrieval evaluation.

— Experience with vector databases such as Pinecone, Weaviate, Qdrant, Chroma, Milvus, or similar.

— Experience with LLM evaluation and benchmarking, including designing evaluation pipelines and measuring model performance.

— Strong prompt design, prompt iteration, and prompt optimization skills.

— Experience working with major model providers or open-weight models such as OpenAI, Anthropic, Gemini, Llama, or similar.

— Cloud experience with AWS, GCP Vertex AI, Azure AI Foundry, or similar platforms.

— Familiarity with AI safety, responsible AI, guardrails, and output validation for production systems.

— Experience with CI/CD pipelines, deployment workflows, and engineering best practices.

We offer:

— remote time job, B2B contract
— 12 sick leaves and 18 paid vacation business days per year
— Comfortable work conditions (including MacBook Pro and Dell monitor on each workplace)
— Smart environment
— Flexible work schedule
— Competitive salary according to the qualifications

Job Description

Requirements:
 

• Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field.
   
• 5+ years in software engineering, technical leadership, or developer experience roles, with recent hands-on exposure to GenAI-assisted development.
   
• Demonstrated track record of introducing new tools, practices, or methodologies across engineering teams and measuring adoption.
   
• Hands-on proficiency with AI coding assistants and agentic dev tools (e.g., Claude Code, GitHub Copilot, Cursor, Windsurf, Cline) and ability to evaluate them critically.
   
• Solid understanding of modern SDLC practices: code review, CI/CD, test automation, requirements management, and release engineering.
   
• Working knowledge of LLM fundamentals: prompting, context management, retrieval-augmented generation, evals, model selection, and cost/latency trade-offs.
   
• Familiarity with MCP, agent frameworks, and integrating AI tools with existing engineering systems (Jira, GitLab/GitHub, Confluence, ALM tools).
   
• Strong communication, facilitation, and storytelling skills — comfortable presenting to engineers, architects, delivery managers, and client executives.
   
• Ability to define adoption metrics (productivity, quality, cycle time) and run structured pilots that produce defensible results.
   
• English proficiency at Upper-Intermediate level or higher.

Preferred Qualifications (Nice to Have)
 

• Experience introducing AI tooling into a regulated SDLC (IEC 62304, ISO 13485, FDA design controls, GxP, or equivalent).
   
• Familiarity with healthcare-specific constraints on AI use: PHI handling, HIPAA, GDPR, FDA AI/ML guidance (including PCCP), and EU AI Act / MDR implications for development workflows.
   
• Prior involvement in presales, proposal writing, or client technical advisory.
   
• Experience standardizing prompts, skills, or reusable AI assets across multiple delivery teams.
   
• Background in developer advocacy, technical enablement, or internal evangelism programs.
   
• Awareness of test-generation, code-review, and documentation use cases that intersect with regulated traceability requirements.
   

Job Responsibilities

• Lead the introduction and scaling of AI-assisted SDLC practices across HealthTech and MedTech delivery teams.
   
• Identify, evaluate, and pilot AI tools (coding assistants, agentic systems, AI-driven QA, documentation, and requirements tools) and produce clear go/no-go recommendations.
   
• Define and standardize prompts, skills, playbooks, and reusable assets that teams can adopt without reinventing the wheel.
   
• Embed with project teams to coach engineers, architects, and QA on practical, day-to-day AI usage — moving from demos to durable workflow change.
   
• Establish adoption KPIs, run controlled pilots, collect evidence, and report measurable impact on productivity, quality, and time-to-delivery.
   
• Partner with delivery and engineering leadership to integrate AI tooling into existing processes (code review, test management, documentation, traceability) without breaking compliance posture.
   
• Work with InfoSec, Legal, and Compliance to ensure AI usage respects PHI/PII handling, IP, client data agreements, and regulated SDLC constraints.
   
• Support technical presales: shape AI-in-SDLC narratives, contribute to proposals, and present to client engineering and executive audiences.
   
• Run internal enablement: workshops, brown-bags, office hours, and accountability-driven adoption meetings.
   
• Contribute to GlobalLogic's healthcare-focused AI accelerators, internal knowledge bases, and the Architects Team's shared body of practice.
   
• Track the external landscape (model releases, tooling, regulatory signals) and translate it into actionable guidance for delivery teams.
   

Department/Project Description
 

Join GlobalLogic’s Architects Team within the Healthcare Business Unit, supporting clients across the EMEA region. This strategic role focuses on engaging new clients, solving real-world healthcare challenges, and launching data-driven AI/ML projects. You will work closely with clients and internal stakeholders to translate complex business needs into impactful data science solutions. If you’re passionate about applying data science in a meaningful domain and want to shape the future of healthcare, we’d love to hear from you.

This is a fantastic opportunity to join a fast-growing company at the heart of the digital revolution. Our software product is revolutionising manufacturing through automation. We are trusted by global brands and work across sectors (mobility, consumer goods, machinery etc).

We have a talented and ambitious team. We value integrity and are passionate about our mission to revolutionise advanced manufacturing.

This is your opportunity to:

• Be part of an AI product company in advanced manufacturing.
• Be part of a research focused team.

Responsibilities: 

• Research, test and develop generative AI based solutions.
• Collaborate with mechanical engineers to enhance your research.
• Design and implement end-to-end AI solutions that integrate with existing systems.
• Collaborate with software engineers and product teams to understand business needs and translate them into technical solutions. 
• Research emerging AI trends and techniques to continually improve the AI solution offerings. 
• Prepare and maintain documentation on design, code, and processes to ensure organizational knowledge retention. 
• Monitor and evaluate the performance of AI systems in production, identifying areas for improvement or further development.

You will be joining a well-versed team if you have:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. 
• Proven experience in developing generative AI or machine learning models.
• Commercial experience in using large language models.
• Programming skills in languages such as Python or JavaScript.
• Familiarity with databases (SQL, NoSQL). 
• Solid understanding of deep learning, NLP, computer vision, or other specialized areas within AI is a plus. 
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Good communication skills and the ability to translate complex technical concepts to non-technical stakeholders. 
• Commitment to continuous learning and development in the field of AI and emerging technologies.

We’re Expanding and Looking for Talented Developers!

You’ll work directly with our technical founder (experienced developer with a strong AI interest), helping shape our AI direction from the ground up.

The main focus is prompt engineering, the ability to build pipelines for AI agents, and working with memory and external data.

Our team specializes in working with startups, starting from the earliest stages of their development. Each project we take on is a unique challenge, requiring innovative and effective solutions. That’s why we always stay at the cutting edge of technology.

We believe that productive work is only possible in a comfortable environment with excellent planning. The best solutions are built on well-thought-out architecture, quality code, and modern technologies.

If these priorities resonate with you, you’ll love being part of our team!

Requirements

• 1+ years of experience with LLM APIs (e.g., OpenAI, Hugging Face Inference API).
• Understanding of how pretrained models work (LLMs, image-to-text, TTS/STT).
• 1+ years of experience building simple pipelines in Python using libraries like Transformers, Diffusers, Gradio, LangChain, or similar.
• 1+ years of experience with visual AI tools (ComfyUI, Automatic1111, or similar).
• Understanding of REST APIs and integrating ML features into web services (via API requests).

• Ability to work with texts: translations, basic transformations (tokenization, embeddings, chunking, etc.).

   

Nice-to-Haves

• 1+ years of experience with or interest in RAG (Retrieval-Augmented Generation).
• Basic fine-tuning skills or familiarity with LoRA / DreamBooth.
• 1+ years of experience building simple chatbots or AI agents.
• Exposure to multimodal tasks (text → image / audio / video).
• Prompt engineering knowledge to control LLM behavior.

• 1+ years of experience preparing glossaries or structured files to support translation tasks.

   

Responsibilities

• Help build and maintain simple AI pipelines for use in our internal tools and client web services.
• Integrate LLM and multimodal models (image, video, audio) into production-ready features.
• You’ll work directly with our technical founder (experienced developer with a strong AI interest), helping shape our AI direction from the ground up.
• Collaborate with backend/frontend engineers to deliver AI-driven features. Prepare and use glossaries, structured data, and RAG files for translation and document understanding tasks.
• Build early versions of AI-powered chatbots, assistants, and user-facing agents.

• Use both Python and visual tools (e.g., ComfyUI) for building and debugging pipelines. Take initiative and learn new tools or techniques as needed — you’ll be our first AI specialist.

   

Additionally:

• DevOps support is available in the team to help with deployment and running models locally.

• Complex integrations or tuning tasks can be delegated internally if needed.

   

What We Offer

• Possibility to be a part of startups from around the world
• Supportive, understanding, and flexible management
• Paid vacations and sick leave
• A friendly and welcoming team

Leading US-based MSP provider is seeking an AI Engineering professional to join our DevOps team and help build an internal AI-powered platform. You’ll design and deploy intelligent chatbots and autonomous agents using Azure OpenAI and modern LLM frameworks.

COMPANY
Atlas Technica is a fast-growing US-based MSP working with hedge funds and investment firms. Founded in New York in 2016, the company has grown to 200+ engineers across 10+ countries (US, UK, UA, HK, SG).

The goal of this role is to design and deploy intelligent chatbots using Azure Bot Framework, OpenAI, and Cognitive Services. Build data pipelines and fine-tune NLP models with Azure ML. Integrate AI with enterprise systems via RESTful APIs, ensuring compliance with security and privacy standards. Stay current with LLM advancements and collaborate across teams.

 

Responsibilities

AI Agent & Chatbot Development
• Design, build, and deploy intelligent conversational agents using Azure Bot Framework, Azure OpenAI, and Cognitive Services.
• Develop prompt strategies and manage datasets to support context-aware, multi-turn dialogue and accurate responses.
• Conduct rapid prototyping to validate technical feasibility and demonstrate the business value of AI-driven solutions.

Data & Model Engineering
• Build and maintain robust data pipelines to support training and inference workflows.
• Configure, train, and fine-tune machine learning models using Azure Machine Learning, with a focus on NLP and LLMs.
• Evaluate and optimise AI system performance for accuracy, scalability, latency, and cost-efficiency.

System Integration & Architecture
• Architect and implement integration between AI and enterprise systems (e.g., ConnectWise Manage, Confluence, etc) using RESTful APIs.

Security, Compliance & Governance
• Ensure AI systems comply with data privacy regulations (e.g., GDPR) and enterprise-grade security standards.
• Implement access controls, data encryption, and audit logging for sensitive AI workflows.

Research & Innovation
• Stay current with evolving LLM technologies, frameworks and methodologies.
• Evaluate emerging tools and techniques to improve solution quality and delivery speed continuously.

Collaboration & Leadership
• Work closely with cross-functional teams to interpret business requirements and recommend LLM-driven solutions.
• Contribute to technical and architectural decisions, ensuring alignment with strategic goals.

Requirements:

• 4+ years of experience in ASP.NET software development (Core/WebAPI, C#, React/React.js), with a focus on AI engineering and Azure-based solutions.
• Experience building intelligent chatbots and autonomous agents (Agentic AI) that perform real actions, plan, reason, and act with minimal human input; familiar with multi-agent orchestration and agent memory.
• Advanced expertise in machine learning, deep learning, and NLP, including pipelines, model fine-tuning, embeddings, and transformer-based architectures.
• Strong understanding of large language models (LLMs), their limitations, and modern capabilities (e.g., GPT, Claude, Gemini), as well as practical experience with Retrieval-Augmented Generation (RAG) and optimising retrieval pipelines.
• Hands-on experience with Azure AI services (Azure Machine Learning, Cognitive Services, Bot Framework) and knowledge of MCP or similar protocols for secure, scalable integration between AI agents and enterprise systems.
• Familiarity with deploying, monitoring, and maintaining ML models in production environments.
• Ability to write clean, maintainable, and testable code following SOLID principles and Clean Architecture patterns.

Desirable Qualities:

• Understanding of retrieval systems (keyword search, vector search, embeddings) and ranking algorithms.
• Familiarity with CI/CD pipelines and DevOps practices.
• Experience with Azure Cosmos DB.
• AI-102
• Prior experience integrating AI agents with enterprise platforms like ConnectWise Manage, Confluence, SPO, etc.

What we offer:

• Direct long-term contract with a US-based company
• Full-time remote role
• B2B set-up via SP (ФОП in $USD)
• Competitive compensation
• Annual salary reviews and performance-based bonuses
• Company equipment provided for work
• Professional, collaborative environment with the ability to influence strategic decisions
• Opportunities for growth within a scaling global organization