Jobs ML / AI

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, Ukraine, Hong Kong, Singapore).
Atlas Technica combines product-level engineering standards with a strong service culture, partnering directly with top-tier investment firms on their digital transformation and automation initiatives.

We are seeking an AI Engineering professional to join our DevOps team. 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.

Location/Type: Remote
Hours: 10 AM-7 PM UA

Hiring process: 2 interviews
 

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:

• English level — B2 or higher
• 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.

We are currently seeking a skilled and driven Senior AI/ML Engineer to join our R&D team.

We believe that you have:

• In-depth knowledge of Machine Learning (ML) and Deep Learning (DL) principles
• A minimum of 3 years of experience working as a Software/ML Engineer
• Strong proficiency in Python programming and ML related libraries and engines
• Experience with AI Agents
• Proven experience in prompt engineering, Large Language Models (LLM)
• LLM Fine-tuning: Experience in fine-tuning pre-trained language models for specific tasks or domains
• LLM Frameworks and Tools: Langchain / LlamaIndex or other + familiarity with other relevant frameworks such as Transformers, GPT-Index, or FAISS
• Experience with one or more machine learning libraries such as TensorFlow, Keras, PyTorch
• Ability to extract meaningful business insights from data and identify the stories behind the patterns
• Willingness to work in an R&D team with shifting priorities and actively engage in PoC initiatives.

• Intermediate or higher level of English proficiency

   

Cool to have:

• Experience with Computer Vision
• Expirience with LLMOps
• DevOps & MLOps: CI/CD pipelines, Docker, Kubernetes
• Experience with SQL, NoSQL and Vector databases

• Experience with NLP, NLU, Semantic Search

   

Responsibilities:

• Collaborate closely with the web development team to design, develop, and deploy machine learning models
• Develop new machine learning models or enhance existing ones to meet project requirements

• Monitor and maintain machine learning models in production, ensuring their optimal performance and stability

   

We offer:

• Flexible schedule
• Horizontal management and communication directly with project stakeholders
• 20 days of paid vacation
• Paid sick-leaves
• Annual activities budget — we endorse your wish to self-improvement
• Remote work

We are looking for a Founding Engineer to join a fast-growing start-up developing a product for automated lead generation and recruitment outreach.  

Responsibilities: 

- Autonomously architect, prototype, & build the product from the ground up.

- Develop integrations with AI (e.g. Perplexity, OpenAI) & 3rd party API (e.g. CRMs).

- Leverage your prompt engineering skills to maximize the outcome.

- Horizontally work with founders in discussions on business & product topics.

Requirements: 

- 1+ years of experience in a SaaS/startup previously. 

- Senior-level engineer with 5+ years of software development experience. 
- Experience in RAG & AI agents development and prompt engineering.
- API development and integration experience.
- Database design and optimization (SQL).
- Development in cloud infrastructure (AWS/GCP/Azure).
- Patterns for asynchronous task processing (RabbitMQ, SQS, or similar).
- Experience with n8n/make will be a great plus.

- Authentic obsession with giving customers the best.
- Excellent verbal communication skills.

- Excellent English, strong B2 level minimum.

Job details:

• Full-time.
• Fully remote.
• Long-term.
• B2B contract.
• Start date — ideally ASAP / by mid-April.
• Also, you will get founding member equity % in addition to your fixed salary.

What else will you get:

- Learning how a startup grows.

- Direct impact on product and company strategy.

- Deliver value directly to paying B2B clients.

- Opportunity to build and lead a team and department.

- You will work with the most modern toolset (including Cursor in Agent mode).

The hiring process: 

• 45 min pre-screen interview with a recruitment manager
• 15-30 min call with the client
• a technical deep-dive interview, most likely with online coding (conducted by client)
• online call with the team or key team members

Microsoft Chatbot Developer (AI & Omnichannel Solutions)
 

Location: Remote
Rate: Up to $30/hour
Project Duration: 4+ months
Employment Type: Full-time
 

Role Overview

We are looking for a Microsoft Chatbot Developer (AI & Omnichannel Solutions) to join the development and evolution of the Satori AI Platform.

In this role, you will build next-generation conversational and agentic AI solutions for enterprise procurement and supplier ecosystems. You will design, develop, and deploy intelligent chatbot solutions using Microsoft technologies, enabling seamless interactions across omnichannel platforms such as Microsoft Teams, web, and enterprise applications.

You will work closely with product, architecture, and integration teams to enhance platform capabilities, optimize solutions, and ensure high performance, security, and user experience.
 

Key Responsibilities

• Design and develop intelligent chatbots using Microsoft Bot Framework SDK and Azure Bot Services
• Build and manage conversational agents in Copilot Studio / Power Virtual Agents
• Implement omnichannel solutions across Microsoft Teams, web, and enterprise platforms
• Integrate chatbot solutions with enterprise systems such as SAP S/4HANA, SAP Ariba, ServiceNow, and other APIs
• Design and implement conversational flows using adaptive dialogs and orchestration frameworks
• Develop agentic AI workflows for enterprise use cases (procurement automation, supplier queries, compliance tracking)
• Implement AI capabilities including:
  • Natural Language Understanding (NLU)
  • Context and memory management
  • Multi-turn and goal-driven conversations
  • Retrieval-Augmented Generation (RAG)
• Work with modern agentic AI frameworks (e.g., Semantic Kernel, LangChain, AutoGen)
• Collaborate with cross-functional teams (architects, UX designers, backend developers)
• Ensure scalability, security, and enterprise-grade quality of chatbot solutions
• Monitor, debug, and optimize chatbot performance using telemetry and analytics tools
   

Required Qualifications

• Strong experience with Microsoft Bot Framework SDK and Azure Bot Services
• Hands-on experience with Copilot Studio / Power Virtual Agents
• Good understanding of omnichannel solutions and integrations
   

Technical Skills

• Strong programming skills in C#, Python, or JavaScript (Node.js)
• Solid understanding of NLP and tools such as LUIS or similar services
• Experience with machine learning concepts and conversational AI design
• Familiarity with agentic AI frameworks and modern AI architectures (preferred)
   

Additional Skills

• Experience integrating with enterprise platforms (SAP, ServiceNow, REST APIs, databases)
• Knowledge of cloud platforms (Azure required, AWS is a plus)
• Strong analytical and problem-solving skills
• Ability to work in a fast-paced, collaborative environment

What is your Day to Day Mission:

• Design, develop, and optimize real-time object detection and tracking models for aerial video from UAVs (EO/IR cameras)
• Implement inference pipelines optimized for edge hardware (e.g., NVIDIA Jetson, Orin)
• Conduct model training, testing, benchmarking, and validation in real flight environments
• Integrate AI models into onboard systems
• Collaborate with other software and hardware teams to ensure robust end-to-end performance

• Research and apply state-of-the-art deep learning methods in computer vision

   

What you bring to the team:

• 3+ years of experience in AI/ML, with a strong focus on computer vision
• Proven experience in object detection/tracking using models like YOLO, SSD, or custom CNNs
• Proficiency in Python, C++, PyTorch or TensorFlow
• Experience with real-time video processing and optimization techniques (e.g., TensorRT, ONNX, pruning, quantization)
• Solid understanding of data annotation, augmentation, and training workflows
• Familiarity with embedded/edge AI deployments (e.g., Jetson Xavier, Orin)
• Experience working with aerial/surveillance imagery or geospatial data is a strong plus

• Bachelor’s or Master’s degree in Computer Science, Robotics, or related field

   

Nice to Have:

• Knowledge of GStreamer, OpenCV, or similar real-time streaming frameworks
• Familiarity with UAVs, drone flight control, or defense technologies

• Understanding of object re-identification or multi-target tracking

   

Why Quantum-Systems:

• We Stand with Ukraine!
• We believe in the power of combined efforts: straightforward tech expertise paired with a customer-centric focus.
• We are industry pioneers who are ambitious, bold, and visionary.
• We push limits, think outside the box, and strive for technological excellence to shape the future of aerial data.

• We promise to be your runway for individual and professional growth.

   

About us:

Quantum Systems specialises in the development, design, and production of small Unmanned Aerial Systems (sUAS). The company’s range of electric vertical take-off and landing (eVTOL) sUAS are built to maximize range and versatility and to provide operators with a seamless user experience. By integrating cutting-edge software capabilities, like edge computing and real-time AI-powered data processing, Quantum Systems is building next-generation UAS for clients in defence, security, public sectors.

About The Position

Automat-it is where high-growth startups turn when they need to move faster, scale smarter, and make the most of the cloud. As an AWS Premier Partner and Strategic Partner, we deliver hands-on DevOps and FinOps and GenAI support that drives real results.

We work across EMEA and the US, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.

We seek an experienced Senior AI Engineer to join our team. You will work hands-on with innovative startups' Data Science and R&D teams and be in charge of various projects. You will develop robust MLOps pipelines, create cutting-edge Generative AI solutions, implement the latest technologies, and ensure the customers’ success by overseeing the project from inception to completion.

📍 Work location - remote from Ukraine

If you are interested in this opportunity, please submit your CV in English.

Responsibilities

• Developing backend Generative AI solutions and POCs, utilizing RAG pipelines, agent-based systems, and LLM-powered services
• Taking existing ML or customer-provided code and adapting it for training, fine-tuning, and production deployment using PyTorch
• Developing and optimizing fine-tuning workflows, model evaluation, benchmarking, and inference optimization
• Provision of ML AWS resources and infrastructure primarily using managed and cloud-native services
• Developing ML-oriented CI/CD pipelines using GitHub Actions, Bitbucket, or similar tools
• Deploying Machine Learning models in production and ensuring they are observable and monitorable
• Collaborating with Solution Architects and DevOps teams on scalable and cost-efficient AI infrastructure
• Learning new skills and technologies quickly to stay up to date with rapidly evolving GenAI tools
• Using and writing Terraform libraries for infrastructure deployment
• Maintaining infrastructures and environments of all types, from dev to production
• Security monitoring and administration

Requirements

• Excellent customer-facing skills to understand and address client needs effectively
• Ability to design and implement cloud solutions and to build GenAI pipelines on AWS
• Experience with one or more large language model frameworks like OpenAI SDK, Amazon Bedrock, LangChain, and LlamaIndex
• Fluency in Python, a good understanding of Linux, and mandatory hands-on production experience with PyTorch
• Ability to understand tools used by data scientists and experience with building Generative AI applications beyond notebooks or demos
• Good understanding of supervised and unsupervised learning, and deep learning concepts
• Fluent written and verbal communication skills in English
• Ability to work hands-on, independently, and deliver under real project constraints
• Bachelor’s or Master’s degree in AI-related fields - an advantage
• Working knowledge of some Vector Databases (OpenSearch, Qdrant, Weaviate, LanceDB, etc.) - an advantage
• Experience with Docker and Kubernetes - an advantage
• Experience with Azure or GCP (DevOps/MLOps) for ML or GenAI workloads - an advantage
• ML certification (AWS ML Specialty or similar) - an advantage

Benefits

• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
• International work environment
• Referral program – enjoy cooperation with your colleagues and get a bonus 
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
• English classes
• Soft skills training

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognising the value you bring to our team.

Are you a Data Scientist with a love of LLMs, generative AI?

We are looking for a passionate Data Scientist to implement AI solutions aimed at achieving business goals.

This role offers the opportunity to work on cutting-edge AI adoption projects that helps to improve current business processes.

Skills requirements:
• Strong Python Experience (2 year +);
• Experience with LLM , Diffusion models;
• Knowledge of Prompt engineering;
• Experience with Gen AI-related technologies such as LangChain and RAG;
• Experience with Neural Networks (Optional) ;
• Experience with NLP , Predictive analytics and Machine learning;
• Experience with Pandas;
• Experience with SQL, including experience with large datasets;
• Strong experience in statistics;

Key responsibilities:
• Develop AI agents that utilize LLM, RAG and langchain approach;
• Implement LLM and Diffusion models to boost business productivity;
• Utilize LLM (LLM Vision) to improve object detection, text classification and extraction;
• Create forecasting, recommendation, and classification models;
• Transform business challenges to AI applications;

We offer:

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary nominated in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

We are looking for an AI/ML Engineer to join our outsourcing team, working on projects within different domains. The role involves contributing to AI/ML solutions that enhance process automation, data processing, and analytics.
 

Responsibilities

• Maintain and enhance existing AI/ML solutions used in automation workflows.
• Design, develop, and deploy new AI/ML models to meet project needs and improve operational efficiency.
• Monitor advancements in the AI/ML field, evaluate new techniques, and provide recommendations on potential improvements.
• Analyze infrastructure and model-related costs, propose optimizations, and assist in forecasting costs for new implementations.
• Prepare and present demos and solution overviews to U.S.-based clients.
• Collaborate with cross-functional teams to ensure smooth integration of AI/ML solutions.
• Document models, processes, and system architecture in Confluence to support maintainability and knowledge transfer.
• Participate in model monitoring and performance evaluation to ensure accuracy, reliability, and alignment with business requirements.

Requirements

• 2+ years of experience in AI/ML or a related field.
• Experience building ML models for batch and/or real-time processing, or experience integrating LLM-based solutions.
• Strong knowledge of Python or JavaScript for machine learning and data science.
• Experience with Jupyter Notebooks, NumPy/SciPy, pandas, scikit-learn, TensorFlow/PyTorch, or GPT-model integrations.
• Understanding of NLP and Computer Vision techniques (traditional and deep learning).
• Good understanding of data engineering, database management, and cloud-based ML infrastructure.
• Experience with AWS services (Athena, S3, Lambda, Kinesis, Glue, SageMaker, Data Pipelines, Data Stores).
• Familiarity with CI/CD practices.
• Ability to optimize algorithms for real-time or low-latency environments.
• Strong knowledge of model training, optimization, and selecting the best approaches for specific use cases.
• Experience deploying AI models to production environments is a plus.

What We Offer

• Competitive salary with regular reviews.
• Support for individual entrepreneurs with accounting assistance.
• Fully remote work.
• A clear path for professional development and growth.
• A friendly team environment and engaging team-building activities (online and offline).

Atlas Technica’s mission is to shoulder IT management, user support, and cybersecurity for our clients, who are hedge funds and other investment firms. Founded in 2016, we have grown 100% year over year through our uncompromising focus on service.

We value ownership, execution, growth, intelligence, and camaraderie. We are looking for people who share our Core Values, thrive, and contribute to this environment while putting the customer first. At Atlas Technica, we offer a competitive salary, comprehensive benefits, and great perks to our global Team. We strive to maintain a professional yet friendly environment while promoting professional and career development for our Team Members. Join Atlas Technica now!

Design and deploy intelligent chatbots using Foundry Workflows, Microsoft Agent Framework, OpenAI. Build and operate multi-agent orchestration pipelines with Azure AI Foundry and Model Context Protocol (MCP). Integrate AI with enterprise systems via RESTful APIs, ensuring compliance with security and privacy standards. Stay current with LLM advancements, collaborate across teams, and mentor junior engineers.

Responsibilities:

AI Agent & Chatbot Development

• Design, build, and deploy intelligent conversational agents using Foundry Workflows, Microsoft Agent Framework, OpenAI.
• 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 business value of AI-driven solutions.
• Design agentic loops with task decomposition, state passing between agents, and workflow enforcement for multi-step ticket resolution.

• Implement structured error responses and graceful degradation in agent tool calls, including timeout handling, retry logic, and fallback cascades.

   

Data & Model Engineering

• Build and maintain data ingestion and indexing pipelines for Azure AI Search and Cosmos DB.

• Evaluate and optimize 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 PSA, Confluence, etc.) using RESTful APIs.
• Implement and maintain MCP servers (Model Context Protocol) for secure, typed tool integration between AI agents and enterprise APIs.
• Deploy containerized services to Azure using multi-stage builds and Azure Pipelines CI/CD.
• 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 continuously improve solution quality and delivery speed.

   

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.

• Mentor junior engineers and support knowledge sharing across the team.

   

Operational Excellence

• Take ownership of incident resolution, and bug fixes.
• Create and maintain technical documentation for AI systems, models, and integration workflows.

Requirements:

• English level — B2 or higher
• 5+ years of experience in AI engineering and .NET software development (.NET 10, ASP.NET Core/WebAPI, C#) with frontend experience in React 19 / Next.js 15 / TypeScript, with a focus on 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.
• Strong expertise in embeddings, search, and prompt engineering.
• Strong understanding of large language models (LLMs), their limitations, and modern capabilities (e.g., GPT, Claude, Gemini).
• Hands-on experience with Azure AI services (Azure AI Foundry, Azure OpenAI, Azure AI Search) and hands-on experience with MCP or similar protocols for secure, scalable integration between AI agents and enterprise systems.
• Familiarity with multi-agent orchestration patterns: coordinator-subagent workflows, maker-checker validation, signal-based confidence scoring, and context preservation across multi-turn interactions.
• Experience designing prompts with explicit evaluation criteria, few-shot techniques, structured output via JSON schemas, and validation/retry loops for reliable LLM responses.
• Awareness of AI-specific security concerns: PII handling, data boundary enforcement, prompt injection prevention, and compliance considerations (e.g., GDPR).

• Ability to write clean, maintainable, and testable code following SOLID principles and Clean Architecture patterns.

   

Desirable Qualities:

• Understanding of AI solution architecture patterns: LLM gateway/service layer, retrieval layer, orchestration/agent layer, and evaluation/observability layer.
• Experience testing AI-enabled components using deterministic seams (mocked LLM clients, retrievers, tools), scenario-based tests, and regression/evaluation datasets for non-deterministic outputs.
• Understanding of retrieval systems (keyword search, vector search, embeddings) and ranking algorithms
• Familiarity with AI/ML versioning practices: prompt version control with semantic tagging, evaluation baseline tracking, dataset versioning, experiment reproducibility.
• Familiarity with deploying, monitoring, and maintaining ML models in production environments.
• Experience with Azure Cosmos DB, Azure Container Apps, Docker containerization
• Familiarity with CI/CD pipelines and DevOps practices.
• AI-102
• Experience with Application Insights telemetry, distributed tracing.
• Prior experience integrating AI agents with enterprise platforms like ConnectWise PSA, Confluence, SPO, etc.

Atlas Technica is proud to be an Equal Employment Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender, sexual orientation, gender identity, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the role:
We are looking for a hands-on Sr. Machine Learning / Computer Vision Engineer with strong practical experience in designing, training, evaluating, and improving vision systems for real-world applications. The ideal candidate combines solid theoretical ML/CV fundamentals with an engineering mindset and is comfortable taking ownership of the full pipeline, from data preparation and experimentation to model optimization and deployment.

Responsibilities:
- Design, train, evaluate, and improve machine learning and computer vision models for real-world production use cases
- Build and maintain end-to-end ML pipelines, including data collection support, preprocessing, feature engineering, training, validation, and inference
- Develop solutions across both computer vision and machine learning tasks depending on business needs
- Perform error analysis, diagnose model weaknesses, and drive improvements in accuracy, robustness, and reliability
- Select and justify appropriate methods and model architectures based on dataset characteristics, product constraints, and deployment requirements
- Work with challenging real-world data, including noisy, limited, imbalanced, or weakly labeled datasets
- Collaborate with engineering and product teams to translate business problems into practical ML solutions
- Contribute to production-ready development with a focus on maintainability, reproducibility, and performance

Requirements:
- 3–5+ years of professional experience in Machine Learning / Computer Vision
- Strong senior-level practical expertise in computer vision, machine learning, and applied model development
- Hands-on experience with tasks such as object detection, image classification, anomaly detection, feature-based approaches, or similar
- Solid understanding of classical ML methods, including tree-based models, linear models, feature engineering, model selection, and evaluation
- Strong Python skills and practical experience with PyTorch, OpenCV, and common ML tooling
- Experience building full ML workflows including data preparation, augmentation, preprocessing, training, validation, testing, and deployment handoff
- Strong understanding of model evaluation, debugging, overfitting, generalization, optimization, and experiment-driven improvement
- Ability to write clean, modular, maintainable code and independently own technical solutions
- Strong analytical thinking, engineering maturity, and problem-solving skills

Nice to Have:
- Experience in adjacent ML domains such as time-series, audio, or NLP
- Experience with embedding-based methods, metric learning, retrieval systems, or memory-bank approaches
- Practical experience with model optimization techniques such as quantization, pruning, distillation, or related efficiency-focused approaches
- Experience working with real-world industrial datasets and ambiguous problem formulations
- Knowledge of software engineering best practices, reproducible experimentation, and pipeline design

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

Role Overview

We are seeking an experienced Enterprise AI Architect Consultant to support a large-scale digital transformation initiative within the Consumer Packaged Goods industry. This expert will be responsible for designing foundational AI architecture, establishing security and governance frameworks, and shaping strategies for both commercial and agentic AI adoption.
The ideal professional will bring deep technical expertise, strong business acumen, and the ability to rapidly deliver high-impact, enterprise-ready AI solutions.

Key Responsibilities

1. AI Foundation & Technical Architecture

• Design and document scalable, secure, and well-governed AI architecture in collaboration with enterprise architecture teams.
• Recommend an optimal technology stack encompassing foundation models (LLMs), orchestration frameworks, ML platforms, and MLOps/LLMOps tools.
• Develop data integration blueprints for real-time ingestion, processing, and vector database management.

1. AI Cybersecurity, Risk & Governance

• Implement AI-specific cybersecurity protocols, including DLP controls, prompt injection mitigation, and secure API management.
• Define and operationalize AI Governance frameworks addressing ethical AI, bias mitigation, and data privacy (GDPR, CCPA).
• Architect monitoring and compliance systems for model performance, drift detection, and risk management.

1. Agentic AI Center of Practice (CoP)

• Develop a roadmap for establishing an Agentic AI Center of Practice to standardize multi-agent systems.
• Produce reference architectures, development playbooks, and operational standards for autonomous AI agent frameworks.
• Drive knowledge transfer, mentoring internal teams and ensuring sustainable AI capability post-engagement.

1. Commercial AI & Revenue Enablement

• Create technical strategies for AI-driven commercial initiatives such as personalized marketing, dynamic pricing, and virtual commerce assistants.
• Identify, prioritize, and design high-impact AI use cases across supply chain, retail execution, and customer engagement.
• Deliver actionable implementation plans to accelerate AI pilot deployment and business value realization.

Qualifications & Experience

Technical Expertise:

• 10+ years in enterprise or solution architecture with proven consulting experience.
• 2–3+ years specializing in AI/ML, Generative AI, and LLM orchestration within cloud environments (AWS, Azure, GCP).
• Practical experience with agentic AI frameworks and vector databases.
• Strong grounding in InfoSec, zero-trust principles, and enterprise data management.
• Hands-on experience with Databricks and Microsoft AI platforms (Fabric, Azure OpenAI, Copilot Studio).

Consulting & Business Skills:

• Proven ability to operate at a senior advisory level, delivering architectural assessments and strategic AI roadmaps.
• Pragmatic focus on linking AI architecture to measurable business outcomes and operational efficiencies.
• Experience collaborating with cross-functional enterprise teams to align technical initiatives with broader transformation goals.

Fully Remote · Full-time

About Us

We're a product company building AI-powered solutions for international markets. The team is lean and fast-moving — we don't wait months to make decisions, we test, analyze, and scale what works. We're looking for someone who naturally fits this pace.

The Role

This position is for someone who measures their work in click-through rates and conversions, not portfolio views. You'll be a full member of the growth team — from concept to launch to performance analysis.

Responsibilities

• Produce video ads and static banners for Meta, TikTok, YouTube, and Google with a clear focus on conversion.
• Generate several fundamentally different creative concepts every week — not variations of the same idea.
• Research competitor ads, identify strong mechanics, and turn them into even more effective versions.
• Create UGC-style videos that blend naturally into the feed and don't feel like ads.
• Build your workflow around AI — generation, editing, voiceover, characters — as a standard, not an exception.
• Launch hypotheses, read the data, adjust your approach, and repeat the cycle.
• Occasionally contribute to landing page and presentation design for the product.

Requirements

• Solid understanding of performance metrics — CTR, hook rate, ROAS, scroll-stop rate — and how to influence them through design and video structure.
• Hands-on experience with video advertising: you know how to grab attention in the first 2 seconds and hold it through to the CTA.
• Confident use of AI tools for image generation, video production, and voice content.
• Ability to develop a concept from scratch with minimal briefing — high autonomy is expected.
• Comfortable maintaining a high production volume without sacrificing quality.

Tech Stack

Required:

• Video generation: Runway, Pika, ByteDance Video Tools (ModelArk / Seedream)
• Image generation: Midjourney, Stable Diffusion
• Editing: CapCut, Premiere Pro, After Effects
• Characters & effects: NanBanana, face swap, lip-sync tools

Nice to have:

• AI avatars: HeyGen, Synthesia, D-ID
• Voice: ElevenLabs
• Any tools for scalable UGC production

What We Offer

• Salary: $1,500 – $2,500/month depending on experience and results
• Performance bonuses tied to real metrics, not just effort
• Fully remote or hybrid — your choice
• Full access to the required AI tool stack, covered by the company
• Clear growth path to Lead Creative or Head of Creative

Test Assignment

Instead of a standard screening process, we'd like to see how you think and work:

• Three banner concepts for a single offer: one through pain point, one through benefit, one through curiosity or an unexpected angle.
• One video up to 30 seconds — UGC or native ad format.
• A brief description of your workflow: which tools you used and why.

We evaluate: hook strength, message clarity, and conversion potential. Visual polish is secondary.

How to Apply

Send your completed test assignment along with a few lines about yourself. If you'd like a more detailed brief before starting — just ask, we'll provide one.

OneAcademy is looking for a Video Designer with strong motion design skills and hands-on experience using AI tools for commercial video production. We are building a fast-scaling education brand focused on high-performance digital content, and we need someone who can combine creativity with speed and ownership.

What You’ll Do

• Create short-form video content (Reels, YouTube Shorts, TikTok) using AI-assisted production tools
• Develop static creatives for social media and marketing campaigns
• Optimize video production workflows to improve speed, efficiency, and scalability
• Adapt content to different platforms and formats
• Work within tight deadlines while maintaining quality standards

Hard Skills & Experience

• 2+ years of strong, hands-on experience with Adobe After Effects
• Basic proficiency in Adobe Photoshop
• At least 6 months of practical experience using AI tools for commercial video production (e.g., Kling, VEO, Sora, or similar)
• Experience with prompt engineering and cost optimization of AI tools (tokens / credits management)
• Solid understanding of composition, color correction, and storytelling fundamentals

Soft Skills We Value

• High level of independence and self-management
• Strong sense of responsibility and ownership over tasks and results
• Proactive mindset
• Fast learner, comfortable adapting to new tools and workflows
• Ability to operate in a performance-driven environment

What We’re Looking For

This role is ideal for someone who is not just an executor, but a creator who understands both aesthetics and performance metrics. You should be comfortable experimenting with AI tools, iterating quickly, and continuously improving production efficiency.

If you thrive in a fast-moving, digital-first environment and want to shape the visual language of a growing education brand — we’d love to hear from you.

Why OneAcademy

• Direct ownership over growth of a core educational product
• Opportunity to build a scalable, data-driven education business
• Global product with long-term LTV focus
• High level of autonomy and fast execution
  
  What We Offer
• Ownership of acquisition strategy 
• Work with large budgets and high-scale performance campaigns
• Direct influence on unit economics and growth metrics
• Opportunity to build and shape your own team
• Remote work with flexible schedule
• Work in a fast-growing global prop trading firm
• Performance bonuses and incentives

About Us 

ChatRevenue.ai was founded by Ratmir Timashev (founder of Veeam) and Vlad Voskresensky (founder of Revenue Grid) to create the next generation of CRM systems. 

We’re building an AI-native CRM platform that completely redefines how sales automation works. 
By structuring data for intelligent automation, we enable agentic AI to design workflows, assist Sales Leaders and Reps in real time, and generate predictable sales funnels – all through a simple, chat-driven interface. 

Our mission: to build a CRM that works for User, not the other way around. 

About the Role 

This role is for engineers who thrive in dynamic environments, where processes are still being shaped and impact is immediate. 

At ChatRevenue, we focus on goals rather than ceremonies – no endless grooming sessions or heavy planning rituals. Decisions are made quickly through open dialogue and collaboration, not through layers of approvals. 

Previous startup experience is not required – what matters is curiosity, independence, and drive. As part of the core team, you’ll have the chance to own technical domains, lead innovation, and grow together with the company. 

What You’ll Do 

• Design, deploy, and maintain GenAI/RAG pipelines for production 
• Integrate LLMs and agentic assistants into business flows 
• Source, ingest, clean, and enrich external data streams 
• Build and manage vector search, embedding stores, and knowledge graphs 
• Explore and implement new ML/GenAI frameworks and multi-agent systems 
• Mentor developers and share knowledge across the team 

What We’re Looking For 

• Strong backend skills: Python, FastAPI, Webhooks, Docker, Kubernetes, Git, CI/CD 
• Hands-on experience with LLMs (OpenAI-family), LangChain/LangGraph/LangSmith, prompt engineering, RAG, vector stores (Azure AI Search, Pinecone, Neo4j, FAISS) 
• SQL, Pandas, Graph DBs (Neo4j), NetworkX, ETL/data cleaning, Kafka/Azure EventHub 
• Proven experience running RAG pipelines in production 
• Familiarity with graph algorithms (community detection, similarity, centrality) 
• Good English for documentation, API design, and teamwork 
• Startup drive, proactivity, independence 
• Willingness to relocate or travel within Europe; full-time availability 

Nice to have 

• Multi-agent LLM frameworks 
• Big Data pipelines in cloud (Azure preferred) 
• Production-grade ML/NLP, Graph ML 

Why Join Us 

• Remote-first culture – work from anywhere 
• Flexible schedule aligned with European time zone 
• Direct impact – your work is visible in the product from day one 
• Professional growth – own technical domains, lead innovation, scale with the company 
• Competitive compensation: $6000-9000 
• Core team – become one of the people who know the product best and shape its future 

If you want to be part of the core team building an AI-native CRM from scratch, we’d love to hear your story. 

Remote from Poland
Contract duration: March 30, 2026 – June 29, 2026
Experience: 4+ years

About the Role
We are looking for a Senior AI Engineer to design and deliver advanced AI-driven solutions. The role involves working with LLM-based systems, building agent architectures, and developing scalable, production-ready applications using modern AI frameworks and Azure services.

Requirements

Must have:

• Strong Python skills with hands-on experience in AI and data engineering
• Practical experience with LangChain and LangGraph
• Experience with Azure AI Services (Azure OpenAI, Cognitive Services)
• Proven background in designing LLM-based and agent-driven solutions
• Experience integrating APIs and working with agent tooling
• Ability to build production-grade AI systems with observability and proper error handling

Nice to have:

• Experience with other AI frameworks or cloud-based AI platforms
• Understanding of MLOps and machine learning lifecycle
• Strong analytical thinking and collaboration skills

Tech Stack:
Python, AI, LLM, LangChain, LangGraph

Responsibilities

• Design, develop, and deploy AI-powered and LLM-based solutions
• Build and maintain AI systems using Python
• Implement solutions with LangChain and LangGraph
• Integrate AI components with APIs and external services
• Develop production-ready systems with logging, monitoring, versioning, and rollback mechanisms
• Utilize Azure AI Services for building scalable solutions
• Collaborate with cross-functional teams to define architecture and best practices
• Ensure high performance, scalability, and security of solutions

Location
Remote (candidates must be based in Poland)