Jobs ML / AI

Are you passionate about safeguarding countries, societies, and businesses from information threats? Look no further! Our rapidly scaling company is passionately committed to this crucial mission, offering you a privileged opportunity to collaborate with some of the world’s most influential organizations, including NATO and the EU.

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

Role Overview

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

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

Key Responsibilities

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

Requirements

Engineering Skills:

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

AI Skills:

• At least 3+ years of hands-on experience in AI/ML, with a focus on LLM-based systems.
• Proven experience building RAG systems in production.
• Experience designing and implementing agentic systems.
• Strong understanding of transformer architectures.
• Practical experience with prompt engineering.
• Knowledge of LLM infrastructure and deployment.
• Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Understanding of evaluation methodologies for LLM outputs

We Offer

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

Responsibilities:

• Own and support core ML infrastructure (MLflow, CVAT, GPU/CPU cloud instances, internal data tools).
• Assist Data Engineers with deploying and maintaining data pipelines.
• Act as the primary contact for ML and Data teams on infra-related requests.
• Improve reliability and efficiency by adding automation, monitoring, and tooling enhancements.
   

Must have:

• Knowledge of Python, Terraform, Docker, Linux.
• Hands-on experience with cloud environments (Azure prefered).
• Understanding of the end-to-end ML lifecycle (data → training → evaluation → deployment → monitoring).

Nice to have:

• Familiarity with Kubernetes.
• Experience with FFmpeg or GStreamer for video processing and streaming.
• Experience with model serving frameworks and inference formats (ONNX, TensorRT, OpenVINO, NVIDIA Triton).
• Experience deploying computer vision models, especially to edge/embedded devices (NVIDIA Jetson, Intel platforms, Raspberry Pi).

• Надаємо бронювання від мобілізації

Start date: ASAP

What you’ll do

• Provide technical leadership for AI projects, guiding teams through the treatment of structured and unstructured data for AI processing.
• Oversee backend development (primarily .NET) and ensure solutions meet performance and scalability requirements on Azure.
• Collaborate with product owners and stakeholders to define scope, deliverables and timelines for AI initiatives.
• Mentor team members, fostering a proactive and autonomous culture and ensuring clear communication across disciplines.
• Drive continuous improvement and adopt best practices in AI development; optionally support front‑end integration (React) and SharePoint Online interoperability.

Requirements

• Proven experience leading AI/ML projects from inception to deployment, including data preparation and model operationalisation.
• Strong backend development skills with .NET and familiarity with Azure services.
• Excellent communication, leadership and organisational skills; ability to work autonomously.
• Nice to have: experience with front‑end development (React) and SharePoint Online integration.

We offer

• Leadership role with significant influence over AI strategy and roadmap.
• Opportunity to shape a growing team and work with state‑of‑the‑art AI technologies.
• Remote‑friendly environment with flexible schedule and competitive compensation.

Start date: ASAP

What you’ll do

• Design, develop and maintain cloud‑native full‑stack applications with an emphasis on performance, scalability and security.
• Build responsive front‑end interfaces using React, Angular or Vue; integrate back‑end services via RESTful APIs and serverless architectures.
• Collaborate with architects and business analysts to translate business requirements into robust technical solutions.
• Research and prototype new technologies, including Generative AI models, and integrate AI‑driven features such as chatbots, predictive analytics and intelligent content generation.
• Produce technical documentation, support presales/marketing efforts and seek opportunities for optimization and automation while adhering to best practices.

Requirements

• 4+ years’ experience with .NET 6+ and cloud platforms (preferably Microsoft Azure); solid understanding of RESTful API design and OpenAPI.
• Proficiency with both SQL and NoSQL databases; experience with integration and event‑driven architectures.
• Familiarity with front‑end frameworks (React, Angular or Vue) and Agile methodologies (Scrum).
• Nice to have: practical experience with Generative AI models (GPT, DALL‑E) and AI frameworks (PromptFlow, TensorFlow, PyTorch, Azure Cognitive Services); ability to integrate AI functionality (chatbots, personalised content) into web apps.
• Comfortable working independently, proactively and communicating with stakeholders.

We offer

• A chance to work on innovative AI‑powered cloud applications.
• Flexible work arrangements with supportive team and opportunities to experiment with cutting‑edge AI technologies.
• Competitive salary, paid vacation and professional development budget.

EXITEK team is looking for a Machine Learning Engineer. We're expanding our development team and looking for a passionate, experienced, self-organised candidate to work on our BeautyUp app (https://apps.apple.com/us/app/id1671843069).

Responsibilities:

• Design, develop, and optimize state-of-the-art computer vision pipelines, algorithms and models;
• Conceive and experiment with innovative features and functionalities in the realm of photo editing and enhancement;
• Collaborate with cross-functional teams to integrate machine learning models into production systems and pipelines.

Requirements:

• Proficiency in Python and PyTorch;
• Experience in Computer Vision (GANs, SD, etc.) is a must;
• Deep understanding of the current state of the art in machine learning and computer vision;
• Robust communication skills, complemented by the ability to thrive in a collaborative team environment.

Basic Qualifications:
 

• 1+ years of any professional software development experience
• Experience programming with at least one software programming language
• Practical experience using AI tools in day-to-day software development workflows
• Ability to leverage AI for code generation, debugging, refactoring, test creation, documentation, and technical research
• Experience using AI to accelerate development and prototyping processes
• Understanding of best practices for AI-assisted development workflows
• Ability to contribute to establishing and improving team-wide AI usage standards and processes
   

Preferred:
- Bachelor's degree in computer science or equivalent

Responsibilities:

• Develop and maintain interactive frontend web components using React
• Integrate LLM APIs (e.g., OpenAI, Anthropic) to process and generate consumer data
• Interact with vector databases to support Retrieval-Augmented Generation (RAG) capabilities
• Build LLM-powered utilities to extract structured data from unstructured documents
• Create backend API endpoints to handle file uploads, AI workflows, and multi-tenant state
   

Write and maintain unit tests to ensure application stability and reliable AI outputs
 

About the Project

We are building a first-of-its-kind AI-Driven Integration Platform that fundamentally changes how enterprise systems connect. Instead of spending weeks manually coding data pipelines and hunting through messy documentation, our platform uses Large Language Models (LLMs) and Agentic AI to automatically generate production-ready code directly from meeting notes, emails and other documents.
 

What you will help build:

• The Brain: An AI knowledge hub that deeply understands complex APIs and business rules.
• The Sandbox: A web-based IDE where architects and developers collaborate with AI to instantly draft and test data pipelines.
• The Engine: A fleet of AI agents that automatically updates integration code in real-time as customer requirements change.
   

This isn’t just another internal tool - it’s a "CI/CD pipeline for business requirements." If you want to apply generative AI to solve massive engineering bottlenecks and shape the future of software delivery, we want you on our team.

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

Who we are:

Adaptiq is a technology hub specializing in building, scaling, and supporting R&D teams for high-end, fast-growing product companies in a wide range of industries.

About the Product:

We deliver an AI-driven video platform that automatically identifies and extracts the most engaging segments from live and on-demand video feeds, generates dynamic teasers and summaries, indexes content for rapid retrieval, and transforms formats (e.g., horizontal to vertical). Our solution serves global media, sports, news, and gaming organizations, processing petabytes of visual data and supporting millions of end users.

Engineers face challenges in computer vision research, big data analytics, and production-grade cloud infrastructure to enable near-real-time processing, seamless scaling, and high-throughput delivery.

About the Role:

As a Senior Algorithms Engineer, you will bridge cutting-edge research and production systems, owning design, implementation, and scaling of advanced computer vision and AI models.

You will invent new approaches using deep learning, large language models (LLMs), and vision-language models (VLMs) and lead end-to-end engineering from prototype to cloud deployment.

Key Responsibilities:

• Design, prototype, and validate computer vision and ML algorithms using PyTorch, TensorFlow, OpenCV and LLM/VLM APIs.
• Analyze multi-terabyte video datasets to identify patterns, perform behavioral analytics, and build predictive models.
• Develop and maintain an Algo-Ops framework for seamless integration, monitoring, debugging, and scaling of algorithms in cloud environments.
• Work closely with DevOps to deploy and scale models in production (no need to own infrastructure).
• Evaluate and integrate emerging video-language and generative AI models (e.g., Gemini, open-source VLMs) into processing pipelines.
• Collaborate with cross-functional teams to translate research prototypes into production-grade features and participate in on-call support when needed.
• Continuously research and adopt new AI tools (Claude Code, Cursor, etc.) to enhance workflows and iterate on model performance.

Required Competence and Skills:

• At least 8 years of professional software development experience. 
• 4+ years of Python experience.
• Expert-level hands-on proficiency with PyTorch and TensorFlow.
• Experience with video processing and computer vision libraries.
• Solid understanding of cloud infrastructure and DevOps basics (AWS, GCP, Bash, Nomad).
• Hands-on experience using AI tools (LLMs/VLMs, agentic workflows).
• Proven ability to analyze large-scale datasets and implement predictive behavioral models.
• Self-starter with strong autonomy to research, lead, and execute complex technical projects end-to-end.
• M.Sc. or higher in Computer Science, Electrical Engineering or equivalent.

Nice to Have:

• Experience integrating models like GPT, Gemini, or open-source VLMs
• Proficiency with big data tools (Spark, Iceberg, PostgreSQL, Elasticsearch, Redis).
• Working knowledge of containerization and orchestration platforms (Docker, Kubernetes, Nomad).

About the role

We are looking for an AI Agent Engineer to join us on a long-term basis and help build, configure, and support AI-driven automation systems.

You will work with an enterprise AI orchestration platform (Airia, onboarding provided), configuring AI agents, integrating them with HubSpot and other tools, and extending the platform with custom scripts when needed.

This is not a classic full-stack development role. Most of your work will focus on:

• building and configuring AI agents
• connecting different systems together
• creating integrations and automations
• writing small custom scripts for edge cases

You’ll work closely with our team and receive architecture guidance and code reviews when needed.

Responsibilities

• Build AI agents for lead qualification, research, lead scoring, and reporting
• Integrate the orchestration platform with HubSpot via MCP
• Configure HubSpot pipelines, lifecycle stages, workflows, and automations
• Integrate outbound tools such as Apollo, A-Leads, Instantly, Smartlead, Outreach, Mailchimp, or Intercom
• Set up field mapping, contact sync, workflow triggers, and bidirectional data sync
• Build integrations with external systems (CRM, ERP, communication tools)
• Write custom scripts and data transformations in Python or JavaScript/TypeScript
• Handle APIs, webhooks, OAuth, rate limits, retries, and error handling

• Prepare SOPs, documentation, and support go-live/testing
   

  Requirements

• 2+ years of experience building AI agents, LLM workflows, or automation pipelines
• Experience with one or more platforms: LangChain, LangGraph, n8n, CrewAI, AutoGen, Make, Zapier AI, Relevance AI, Vellum, or similar
• Experience with MCP, tool calling, or similar integrations between AI agents and external systems
• Hands-on experience with HubSpot CRM (pipelines, workflows, API integrations, webhooks, field mapping)
• Experience integrating CRM systems with outbound or lead generation tools
• Good understanding of REST APIs, OAuth, webhooks, rate limits, and error handling
• Ability to write custom integration logic in Python or JavaScript/TypeScript

• Strong written English and ability to work independently

   

  Nice to have

• Experience with Airia or multi-agent systems
• Knowledge of GDPR, HIPAA, ISO 42001, EU AI Act, or NIST AI RMF

• Background in an AI agency, MSP, or integration company

   

  Tech Stack

• AI orchestration: Airia, LangChain, LangGraph, n8n, CrewAI
• CRM: HubSpot or similar CRM platforms such as Salesforce, Pipedrive, Zoho CRM, Microsoft Dynamics 365, HighLevel
• Integrations: Apollo.io, Instantly, Smartlead, Outreach, Mailchimp, Intercom
• Languages: Python, JavaScript, TypeScript

• APIs & Infrastructure: REST API, MCP, OAuth, Webhooks

   

  We offer

• Long-term cooperation
• Flexible workload
• Direct impact on technical decisions
• Work on real AI products and client integrations
• Support and mentorship from senior engineers

We’re looking for an innovative ML Engineer to join our AI team and help design, prototype, and operationalize
advanced AI systems, including Retrieval-Augmented Generation (RAG) pipelines, MCP services, and agentic
workflows. You’ll work closely with Python Developers and MLOps Engineers to bring AI-powered features
from concept to production.

Responsibilities:

 ● Design, prototype, and iterate on AI models, RAG pipelines, MCP services, and agentic reasoning
systems.
 ● Develop AI-powered services using frameworks such as LangChain, LangGraph, CrewAI, LlamaIndex,
Haystack, and DSPy.
 ● Build and optimize prompts for AI-driven tasks like chat, summarization, information extraction, and
decision support.
 ● Integrate and tune vector databases (e.g., Chroma, FAISS, Pinecone, Qdrant) to optimize vector
search workflows.
 ● Collaborate with Python Developers to define service interfaces, APIs, and operational
requirements.
 ● Implement task decomposition, memory management, and tool-use strategies within agentic
systems.
 ● Monitor AI system performance, operational risks, and prompt evaluation metrics.
 ● Stay current with emerging AI frameworks, architectures, and best practices in AI observability and
evaluation.
 

Requirements:

●Strong Python development skills with an emphasis on clean, scalable, and modular code.
● Hands-on experience working with LLMs and agent frameworks.
● Solid understanding of RAG architecture, vector search concepts (cosine similarity, MMR, late
interaction), and system design.
● Experience building multi-step agentic workflows and reasoning systems.
● Familiarity with AI performance metrics, model drift detection, and operational monitoring.
● Awareness of AI limitations, including latency, hallucination risks, and explainability challenges.
● Experience with DSPy or other prompt optimization tools is a plus.
● A curious, experimental mindset with a passion for testing emerging AI tools and frameworks.

● Bachelor’s degree in Computer Science or equivalent - preferred.

Lumitech is a Dubai-based software engineering company building complex digital products for enterprise clients across the UAE and Saudi Arabia.

We are expanding our AI capabilities and looking for a strong Applied AI Engineer who can design and build real production AI systems — not just integrate APIs. Our team already handles full-stack engineering. We are looking for someone who can lead the AI layer of modern applications.

You will design and implement AI systems for enterprise products, including:

• Retrieval-Augmented Generation (RAG) platforms
• Enterprise knowledge assistants
• AI agents and workflow automation
• Document intelligence systems
• Internal copilots for large organizations

Typical projects include legal AI assistants, enterprise knowledge systems, and AI-driven automation tools.

This is not just an individual contributor role. We are looking for a person around whom we can build our AI direction — someone who can take ownership, shape architecture, and eventually grow and lead an AI team within Lumitech.

Our goal is to find a long-term partner, not just an employee — someone who will grow with us for years to come.

PwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.

At PwC, we work together to help clients make informed decisions, operate efficiently, and shape the future. Join our consulting team specializing in Generative AI as an AI Engineer. Our Technology Advisory team drives innovative projects every day, guiding companies through major technological changes. Current projects include applying large language models and generative AI in finance and energy sectors, as well as improving internal efficiency and accelerating workflows with AI tools.

What You’ll Do:

• Design and develop AI solutions using Large Language Models (LLMs), including advanced techniques like Retrieval-Augmented Generation (RAG) and multi-agent systems.
• Turn ideas into working prototypes and lead Proof of Concept (PoC) projects from planning to delivery.
• Apply the latest AI research to real-world challenges in industries like finance and energy.
• Collaborate with diverse teams to identify new use cases and deliver impactful solutions.

What We’re Looking For:

• 4+ years in software development, with at least 2 year in AI systems (RAG or agent-based).
• Strong Python knowledge, familiarity with databases (especially vector databases), and understanding of AI ecosystems.
• Basic knowledge and use of multi-agent systems, guardrail solutions, and orchestration frameworks (e.g., LangGraph).
• Proactive, solution-oriented, and able to work independently as well as in a team.
• Upper-intermediate English proficiency.

What We Offer:

• Work with leading experts on innovative projects that matter.
• Rapid career growth and continuous learning opportunities.
• Flexible schedule, hybrid work options, and a supportive environment.
• Competitive salary, annual bonus, and benefits including private healthcare, wellness programs, and home office allowance.
• A vibrant community with team-building events and a modern office in a prime location.

Policy statements:
https://www.pwc.com/ua/uk/about/privacy.html

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.

The product company is looking for a AI/ML Engineer in Warsaw.

The company is a successful market leader, a live-streaming Platform with 450+ Million registered users.
Their B2C mobile platform allows millions of talented people worldwide to connect with their fans and monetize their talents.
The company was founded in 2018 in the USA and is powered by 350+ global employees.

They offer: options, medical insurance (100% for employees and 75% for family members), lunch in the office, parking, multisport card.

Requirements: experience in an ML role and with LLMs (prompt engineering, RAG architectures, LLM integration).

N-iX is a global software development company founded in 2002, connecting over 2,400+ tech professionals across 40+ countries. We deliver innovative technology solutions in cloud computing, data analytics, AI, embedded software, IoT, and more to global industry leaders and Fortune 500 companies. Join us to create technology that drives real change for businesses and people across the world.

We are seeking an exceptional Senior AI Engineer to join our team and drive the development of cutting-edge AI solutions that includes conversational, Agentic AI's. This role focuses on building advanced conversational AI systems, implementation AI Agents across different use cases,  implementing sophisticated RAG architectures, and deploying production-grade voice AI applications. The ideal candidate will have deep expertise in LLM technologies and a proven track record of delivering scalable AI solutions.
 

Responsibilities:

• Design and implement advanced Retrieval-Augmented Generation (RAG) systems with sophisticated chunking strategies, multi-vector retrieval, and hybrid search architectures.
• Develop and optimize conversational AI agents with complex multi-turn dialogue management and context awareness.
• Build production-ready voicebot solutions integrating real-time speech processing pipelines.
• Architect and deploy Text-to-Speech (TTS) and Speech-to-Text (STT) systems with low latency and high accuracy.
• Design and deploy PROD-grade AI Agents that can scale up for various use cases.
• Fine-tune large language models using various techniques.
• Optimize model performance through prompt engineering, few-shot learning, and retrieval strategies.
• Implement evaluation frameworks and metrics for LLM outputs and conversational quality.
• Develop custom training pipelines for domain adaptation and specialized use cases.
• Design scalable AI infrastructure supporting real-time inference and high-throughput batch processing.
• Implement efficient vector databases and semantic search systems (Pinecone, Azure Search).
• Build monitoring and observability solutions for AI systems in production.
• Stay current with latest developments in LLM architectures, RAG techniques, and voice AI technologies.
• Experiment with emerging models and frameworks to evaluate applicability to business problems.
• Contribute to technical documentation, best practices, and knowledge sharing within the team.
• Prototype and validate new AI capabilities through POCs and pilots.
   

Requirements:

• 5+ years of software engineering experience with focus on AI/ML engineering.
• Strong proficiency in Python and ML frameworks (PyTorch, TensorFlow).
• Deep hands-on experience with advanced RAG systems.
• Proven experience building conversational AI systems.
• Production experience with voicebot development.
• Expertise in TTS and STT technologies.
• Strong experience with LLM fine-tuning.
• Proficiency with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
• Experience with MLOps tools and practices (MLflow, Weights & Biases, experiment tracking).
• Strong understanding of API design, microservices architecture, and system integration.
   

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers