Jobs ML / AI

Quantum Systems next-generation unmanned solutions across air, land, and sea. From advanced aerial drones to underwater and ground platforms, our systems combine cutting-edge hardware with AI-driven software for seamless control and real-time data insights. Trusted by defense, security, and public sector clients worldwide, we redefine mission versatility and performance.

Quantum-Systems is a strong supporter of Ukraine and has it’s local Ukrainian office since 2022.
 

The role is based in Kyiv, and we expect you to work full-time in the office.
 

What is your Day to Day Mission:

• Lead team of ML Engineers
• 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:

• 8+ years of experience in AI/ML, with a strong focus on computer vision
• Strong Leadership experience
• Experience building ML infrastructure and training pipelines
• 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.

The role is based in the Kyiv region, and we will expect you to work full-time in the office. We have a shuttle service from the nearest metro station.

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.

We are looking for a AI Engineer to help us build and scale AI features in our e-commerce platform and develop LLM-based solutions in production.

What you will do:

• Design and develop RAG pipelines to work with internal data (product catalog, customer data, operational data)
• Build AI agents to automate business workflows (customer support, merchandising, order processing)
• Integrate LLMs (OpenAI, Anthropic, AWS Bedrock) into existing services and microservice-based architecture
• Work on fine-tuning / adapting models for domain-specific tasks
• Define and improve approaches to evaluation, prompt engineering, and response quality
• Optimize AI solutions for latency, cost, and performance
• Collaborate with product and engineering teams to deliver end-to-end AI features

What we are looking for:

• 6+ years of software engineering experience, with 1–2+ years of practical experience in AI/LLM (must have)
• Hands-on experience with LLM-based applications (RAG, agents, prompt engineering)
• Understanding of embeddings and semantic search principles
• Experience with vector databases (Qdrant, Weaviate, Pinecone, or similar)
• Strong Python skills for AI/ML-related tasks
• Solid understanding of microservices architecture and REST APIs
• Experience working with cloud platforms (preferably AWS)

• English level: B2 (must be able to communicate fluently during client interviews) and fluency in Ukrainian

   

Nice to have:

• Experience with AI orchestration frameworks (LangChain, Semantic Kernel, AutoGen, etc.)
• Practical experience evaluating LLM systems
• Experience with AWS AI services (Bedrock, SageMaker, etc.)
• Experience optimizing AI systems in production
• Experience in the e-commerce domain

Why join Empeek?

• A high-impact role leading AI transformation within an established enterprise platform.
• A collaborative, experienced engineering team with a strong focus on modernization.
• Significant autonomy and influence over technical direction.
• Access to cutting-edge tools, models, and cloud infrastructure.
• Competitive compensation package (discussed during the interview process).
• Opportunities for professional development and continuous learning.

What we offer:

• Access to internal and external training, certification reimbursement;
• 18 working days of paid vacation, 10 compensated public holidays, and up to 10 paid sick days;
• Partial compensation for English classes + free speaking club;
• Up to $180/year for sports activities;
• A strong culture of knowledge sharing with senior experts you can really learn from;
• New equipment provision, and accounting support if needed;
• Competitive market-level salary with regular performance and salary reviews;
• Extra perks such as an insurance fund, seasonal gifts, celebrations, and additional team compensations;
• A psychologically safe and supportive environment;
• Active social responsibility and continuous support for the Armed Forces.

If you believe this role could be a great match for you, please send us your resume via the link — we’ll be happy to get in touch with you.

You’re also welcome to recommend colleagues or friends — we offer a referral bonus of 2000$🎁
 

We are looking for an Autonomous systems engineer with a background in computer vision, control theory and mathematical modelling. The ideal candidate will have a strong math background, experience with autonomous systems, modelling and control design. 

Required Qualifications: 

• 2 years of hands-on experience with classical computer vision
• Understanding of geometrical computer vision principles 
• System identification and control
• Sensor fusion/signal processing
• Proficiency in C++ and/or experience with Python
• Experience with Linux and single-board computers
• Experience with PID controllers tuning in embedded or autonomous systems
• Ability to quickly navigate through recent research and trends in computer vision and autonomous systems
• Relevant work experience or education in STEM field

Nice to Have:

• Experience with SLAM and/or Visual-Inertial Odometry (VIO)
• Matlab
• Experience with PX4, betaflight, Ardupilot 
• Familiarity with neural networks and common CV frameworks/libraries (OpenCV, NumPy, PyTorch, ONNX, Eigen, etc.)
• Experience with simulation tools (Gazebo, AirSim)
• SITL, HITL testing
• ROS2

We are looking for a Senior AI/ML Engineer to design, build, and scale AI-driven solutions within the Palantir Foundry and AIP ecosystem.

In this role, you will take ownership of developing production-ready AI systems, including LLM-powered applications, RAG pipelines, and machine learning models, while collaborating closely with cross-functional teams. You will contribute to architectural decisions, ensure high-quality implementations, and help evolve AI capabilities within enterprise environments.

Key Responsibilities

• Design, develop, and enhance AI-driven solutions, including machine learning models, LLM-based applications, and NLP workflows for analytics, automation, and decision-making
• Build and optimize RAG pipelines, including embeddings, retrieval strategies, chunking approaches, and hybrid search techniques
• Develop AI solutions within Palantir Foundry, leveraging Ontology objects, pipelines, and workflows
• Apply LLMs and GenAI techniques (prompt engineering, fine-tuning, embeddings, retrieval-augmented generation) using Palantir AIP
• Own the end-to-end lifecycle of AI solutions: data preparation, model development, evaluation, deployment, and monitoring
• Collaborate with data engineers to ensure data quality, pipeline efficiency, and scalable data processing
• Integrate AI models into production workflows to deliver business-facing insights and automation capabilities
• Evaluate and improve model and system performance, including accuracy, latency, scalability, and cost-efficiency
• Contribute to architecture decisions, including selection of tools, frameworks, and design patterns for AI systems
• Implement and follow MLOps / LLMOps best practices, including versioning, evaluation frameworks, monitoring, and continuous improvement
• Ensure responsible AI practices, including data privacy, governance, and compliance considerations
• Collaborate with stakeholders to translate business needs into practical and scalable AI solutions
• Mentor junior engineers and contribute to knowledge sharing within the team

Requirements

• 4–5+ years of experience in AI/ML engineering, applied data science, or related fields
• Strong proficiency in Python and experience with ML frameworks (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow)
• Hands-on experience with LLMs, NLP, or GenAI applications (prompt engineering, embeddings, text processing, summarization, etc.)
• Practical experience with RAG architectures, vector databases, and retrieval strategies
• Strong understanding of the ML lifecycle: data preparation, feature engineering, model training, evaluation, and deployment
• Experience building and deploying production-grade AI systems
• Familiarity with structured and unstructured data processing (tabular, time series, text, documents)
• Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes)
• Understanding of MLOps / LLMOps practices, including monitoring, evaluation, and iteration
• Experience working in enterprise data environments with cross-functional teams
• Ability to communicate AI concepts and results to technical and non-technical stakeholders
• Upper-Intermediate English or higher

Nice to Have

• Experience with Palantir Foundry (Ontology, Object Builders, Code Repositories, AIP)
• Experience in regulated industries (e.g., pharma, finance)
• Experience with distributed data processing (e.g., Spark)
• Exposure to multilingual or multimodal AI systems

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

Project Description

A digital health company focused on revolutionizing the pharmacy regulatory market through data-driven innovation and technology. The platform leverages AI/ML to accelerate the approval process of therapeutic products, automate regulatory workflows, and enhance decision intelligence for compliance teams.

Role Overview

We are seeking a highly skilled Lead Machine Learning Engineer to join our cross-functional AI team. You will be responsible for designing, training, and deploying machine learning models that power intelligent automation and decision-support systems across our SaaS platform. This role bridges data science, software engineering, and infrastructure — ensuring that models move from prototype to scalable production systems efficiently and reliably.
 

Key Responsibilities

Model Development & Optimization

• Design, build, and train ML models for classification, NLP, entity extraction, and prediction tasks using modern frameworks (e.g., PyTorch, TensorFlow, scikit-learn).
• Conduct feature engineering, hyperparameter tuning, and model validation using statistical and ML techniques.
• Implement retraining, versioning, and A/B testing strategies to continuously improve model performance.
   

MLOps & Deployment

• Collaborate with DevOps and backend engineers to containerize, deploy, and monitor models in production environments.
• Develop automated data pipelines for training, validation, and inference (Airflow, Kubeflow, MLflow).
• Ensure reproducibility, observability, and CI/CD integration of ML workflows using best practices in MLOps.
   

Data Engineering & Experimentation

• Partner with data engineers to define data ingestion and preprocessing strategies for structured and unstructured datasets.
• Build scalable experimentation frameworks and maintain benchmark datasets for consistent model evaluation.
• Establish and maintain data quality checks, drift detection, and feedback loops from production systems.
   

Collaboration & Impact

• Work closely with product and domain experts to translate business problems into ML tasks with measurable ROI.
• Participate in technical design reviews, code reviews, and cross-functional sprint planning.
• Document methodologies, experiments, and model cards for transparency and compliance (HIPAA, SOC 2, GxP).

Requirements

Experience

• 5+ years of hands-on experience in developing, deploying, and maintaining ML models in production environments.
• Demonstrated success in applying ML/NLP to real-world business problems (healthcare, fintech, or regulated industries preferred).

Technical Skills

• Strong proficiency in Python and core ML/data libraries (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow).
• Experience building and optimizing data pipelines using tools like Airflow, Spark, or Ray.
• Solid understanding of software engineering principles, APIs, and containerization (Docker, Kubernetes).
• Familiarity with cloud services (AWS SageMaker, GCP Vertex AI, or Azure ML).
• Experience with ML lifecycle management tools (MLflow, DVC, Weights & Biases).
• Understanding of data security, governance, and compliance in regulated domains.
   

Soft Skills

• Strong analytical and problem-solving skills with attention to detail.
• Excellent communication skills; able to explain technical concepts to non-technical stakeholders.
• Proven ability to work in collaborative, agile environments.
   

Nice to Have

• Experience in NLP (transformers, embeddings, text summarization, entity recognition).
• Exposure to LLM fine-tuning, prompt engineering, or retrieval-augmented generation (RAG).
• Familiarity with healthcare data standards (FHIR, HL7) or claims processing workflows.
• Contributions to open-source ML projects or published research.

What Success Looks Like (First 90 Days)

• Deliver a trained and validated ML model integrated into one production feature.
• Establish an end-to-end retraining pipeline with automated evaluation and version tracking.
• Deploy monitoring and alerting for model drift and performance degradation.
• Contribute to the team’s internal ML standards and reusable templates for experimentation and deployment.

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 looking for a Senior AI/ML Engineer to design, build, and scale AI-driven solutions within the Palantir Foundry and AIP ecosystem.

In this role, you will take ownership of developing production-ready AI systems, including LLM-powered applications, RAG pipelines, and machine learning models, while collaborating closely with cross-functional teams. You will contribute to architectural decisions, ensure high-quality implementations, and help evolve AI capabilities within enterprise environments.
 

Responsibilities:

• Design, develop, and enhance AI-driven solutions, including machine learning models, LLM-based applications, and NLP workflows for analytics, automation, and decision-making
• Build and optimize RAG pipelines, including embeddings, retrieval strategies, chunking approaches, and hybrid search techniques
• Develop AI solutions within Palantir Foundry, leveraging Ontology objects, pipelines, and workflows
• Apply LLMs and GenAI techniques (prompt engineering, fine-tuning, embeddings, retrieval-augmented generation) using Palantir AIP
• Own the end-to-end lifecycle of AI solutions: data preparation, model development, evaluation, deployment, and monitoring
• Collaborate with data engineers to ensure data quality, pipeline efficiency, and scalable data processing
• Integrate AI models into production workflows to deliver business-facing insights and automation capabilities
• Evaluate and improve model and system performance, including accuracy, latency, scalability, and cost-efficiency
• Contribute to architecture decisions, including selection of tools, frameworks, and design patterns for AI systems
• Implement and follow MLOps / LLMOps best practices, including versioning, evaluation frameworks, monitoring, and continuous improvement
• Ensure responsible AI practices, including data privacy, governance, and compliance considerations
• Collaborate with stakeholders to translate business needs into practical and scalable AI solutions
• Mentor junior engineers and contribute to knowledge sharing within the team
   

Requirements:

• 4–5+ years of experience in AI/ML engineering, applied data science, or related fields
• Strong proficiency in Python and experience with ML frameworks (e.g., scikit-learn, XGBoost, PyTorch, TensorFlow)
• Hands-on experience with LLMs, NLP, or GenAI applications (prompt engineering, embeddings, text processing, summarization, etc.)
• Practical experience with RAG architectures, vector databases, and retrieval strategies
• Strong understanding of the ML lifecycle: data preparation, feature engineering, model training, evaluation, and deployment
• Experience building and deploying production-grade AI systems
• Familiarity with structured and unstructured data processing (tabular, time series, text, documents)
• Familiarity with cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes)
• Understanding of MLOps / LLMOps practices, including monitoring, evaluation, and iteration
• Experience working in enterprise data environments with cross-functional teams
• Ability to communicate AI concepts and results to technical and non-technical stakeholders
• Upper-Intermediate English or higher
   

Nice to Have:

• Experience with Palantir Foundry (Ontology, Object Builders, Code Repositories, AIP)
• Experience in regulated industries (e.g., pharma, finance)
• Experience with distributed data processing (e.g., Spark)
• Exposure to multilingual or multimodal AI systems

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

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.

As an AI Engineer, you will be at the forefront of our innovation engine, architecting the next generation of intelligent agentic systems. This isn't just about prompt engineering; it’s about building scalable, production-ready Generative AI ecosystems that solve high-stakes business challenges.

Key Responsibilities

• Architect & Deploy: Design end-to-end GenAI solutions, specialized AI agents, and high-performance RAG pipelines.
• Lead Innovation: Rapidly build and validate Proof of Concepts (PoCs) to showcase the "art of the possible" to stakeholders.
• Consult & Collaborate: Partner with cross-functional teams and interface directly with clients to translate complex needs into tailored AI strategies.
• Research & Evaluate: Stay ahead of the curve by benchmarking emerging models, agentic frameworks, and dev kits.

The Profile

• The Experience: 3+ years of industry-hardened experience in Applied AI or Machine Learning.
• The Tech Stack: Expert-level command of agentic frameworks (LangGraph, Agno, Google ADK) and Vector Databases.
• Cloud Fluency: Deep familiarity with at least one major Hyperscaler (GCP, AWS, or Azure).
• Bonus Points: Proficiency with the Google Cloud AI stack (Vertex AI, Gemini), MLOps (Docker/K8s), and rigorous evaluation frameworks like RAGAs or LangSmith.
• AI agent building: know-how
   

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

Quantum is a global technology partner delivering high-end software products that address real-world problems. 

We advance emerging technologies for outside-the-box solutions. We focus on Machine Learning, Computer Vision, Deep Learning, GIS, MLOps, Blockchain, and more.

Here at Quantum, we are dedicated to creating state-of-the-art solutions that effectively address the pressing issues faced by businesses and the world. To date, our team of exceptional people has already helped many organisations globally attain technological leadership.

We constantly discover new ways to solve never-ending business challenges by adopting new technologies, even when there isn't yet a best practice. If you share our passion for problem-solving and making an impact, join us and enjoy getting to know our wealth of experience!

About the position

Quantum is expanding the team and has brilliant opportunities for a Middle DS / AI Engineer. The client is a technological research company that utilises proprietary AI-based analysis and language models to provide comprehensive insights into global stocks in all languages. Our mission is to bridge the knowledge gap in the investment world and empower investors of all types to become "super-investors." Through our generative AI technology implemented into brokerage platforms and other financial institutions' infrastructures, we offer instant fundamental analyses of global stocks alongside bespoke investment strategies, enabling informed investment decisions for millions of investors worldwide.

Must have skills:

• 3+ years of commercial experience as a Data Science / AI Engineer
• Strong Python skills and software engineering fundamentals
• 1+ years of experience with LLM and NLP-related tasks
• Knowledge of modern DL architectures
• Experience with at least one of the Deep Learning frameworks (Tensorflow, PyTorch)
• Experience with SQL and NoSQL databases
• Good knowledge of Docker
• Strong knowledge of OOP
• At least an Upper-Intermediate level of English (spoken and written)

Nice to have skills:

• Hands-on experience with RAG and vector DBs
• Experience in training LLMs
• Experience with Cloud Computing Platforms (AWS, GCloud, Azure)
• Participation in Kaggle competitions

Your tasks will include:

• Full-cycle data science projects
• Data analysis and data preparation
• Development of NLP solution and AI-based chatbots
• Developing models and deploying them to production
• Sometimes, this will require the ability to implement methods from scientific papers and apply them to new domains

We offer:

• Delivering high-end software projects that address real-world problems
• Surrounding experts who are ready to move forward professionally
• Professional growth plan and team leader support
• Taking ownership of R&D and socially significant projects
• Participation in worldwide tech conferences and competitions
• Taking part in regular educational activities
• Being a part of a multicultural company with a fun and lighthearted atmosphere
• Working from anywhere with flexible working hours
• Paid vacation and sick leave days

Join Quantum and take a step toward your data-driven future.

Quantum is a global technology partner delivering high-end software products that address real-world problems. 

We advance emerging technologies for outside-the-box solutions. We focus on Machine Learning, Computer Vision, Deep Learning, GIS, MLOps, Blockchain, and more.

Here at Quantum, we are dedicated to creating state-of-the-art solutions that effectively address the pressing issues faced by businesses and the world. To date, our team of exceptional people has already helped many organisations globally attain technological leadership.

We constantly discover new ways to solve never-ending business challenges by adopting new technologies, even when there isn't yet a best practice. If you share our passion for problem-solving and making an impact, join us and enjoy getting to know our wealth of experience!

About the position

Quantum is expanding the team and has brilliant opportunities for a Senior DS / AI Engineer. The client is a technological research company that utilises proprietary AI-based analysis and language models to provide comprehensive insights into global stocks in all languages. Our mission is to bridge the knowledge gap in the investment world and empower investors of all types to become "super-investors." Through our generative AI technology implemented into brokerage platforms and other financial institutions' infrastructures, we offer instant fundamental analyses of global stocks alongside bespoke investment strategies, enabling informed investment decisions for millions of investors worldwide.

Must have skills:

• 5+ years of commercial experience as a Data Science / AI Engineer
• Strong Python skills and software engineering fundamentals
• Strong understanding and experience in the development of high-load production systems
• 2+ years of experience with LLM and NLP-related tasks
• Hands-on experience with RAG and vector DBs
• Knowledge of modern DL architectures
• Experience with at least one of the Deep Learning frameworks (Tensorflow, PyTorch)
• Experience with SQL and NoSQL databases
• Good knowledge of Kubernetes
• Strong experience in development with AI tools (Claude Code, Cursor)
• At least an Upper-Intermediate level of English (spoken and written)

Nice to have skills:

• Familiarity with MCP (Model Context Protocol)
• Experience with production LLM frameworks (vLLM)
• Experience in training LLMs
• Experience with Cloud Computing Platforms (AWS, GCloud, Azure)
• Participation in Kaggle competitions

Your tasks will include:

• Full-cycle data science projects
• Data analysis and data preparation
• Development of NLP solution and AI-based chatbots
• Developing models and deploying them to production
• Sometimes, this will require the ability to implement methods from scientific papers and apply them to new domains

We offer:

• Delivering high-end software projects that address real-world problems
• Surrounding experts who are ready to move forward professionally
• Professional growth plan and team leader support
• Taking ownership of R&D and socially significant projects
• Participation in worldwide tech conferences and competitions
• Taking part in regular educational activities
• Being a part of a multicultural company with a fun and lighthearted atmosphere
• Working from anywhere with flexible working hours
• Paid vacation and sick leave days

Join Quantum and take a step toward your data-driven future.

GetDeal AI is an expert-driven, AI-specialized marketplace for acquiring and selling high-growth AI companies. Our due-diligence pipeline delivers in 30 minutes what traditional processes take 3 weeks to produce. The platform is 95% complete and launching this quarter.

Every internal function is already partly run by subagents: department agents, buyer outreach, deal research, ops. This role takes that work over and makes it better every day.

What you'll own in your first 6 months:

- Ship scoped features inside the GetDeal platform monorepo at a weekly cadence (asset-card UI, onboarding flow, buyer portal improvements), each with tests written, code review passed, and merged without reverts

- Own several internal agentic pipelines end-to-end (HR drafting, buyer outreach, deal research, ops), each with a subagent definition, tool scope, guardrail file, and JSONL audit log

- Stand up new subagents continuously as the work surfaces them — deal-pipeline analyst, seller success drafter, QA helpers, and anything that removes manual founder work

- Reduce founder time spent on manual ops by a measurable amount every week, tracked in a before/after log in the repo

- Own the internal AI-tooling handbook — a living doc capturing Claude Code workflows, prompt patterns, subagent definitions, and MCP wiring notes

What you bring:

- Shipped at least one real project end-to-end using modern AI tools (Claude Code, Cursor, Copilot, custom LLM agents, MCP servers)

- Comfortable in a TypeScript / Node monorepo — reads it, edits it, writes tests for it

- Reads a specification and follows it precisely — guardrails, caps, error paths, and edge cases get implemented as written

- Available full-time; ready for startup cadence

- Evidence of fast learning under ambiguity

Nice to have:

- Prior exposure to M&A, private investment, or confidential-deal workflows

- A public artifact of your AI-tool use (prompt library, custom subagent set, blog post, OSS tool)

- Experience instrumenting an agentic system (structured logs, caps and guardrails, idempotency, rate limits)

How we work: Remote-first, core team in Spain and Portugal. EU working hours — core overlap 10:00–15:00 CET. Communication is direct and technically precise. We hire for evidence of outcomes, not credentials.

To apply: Email alex@getdeal.ai with a link to something you have shipped where AI tools did non-trivial work and short Loom video intro about yourself and what do you expect from your job