Jobs ML / AI

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

Responsibilities:

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

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

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

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

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

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

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

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

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

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

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

— Collaborate with solution architects, engineers, product stakeholders, and delivery teams to translate business problems into technical solutions.

— Participate in architecture discussions, code reviews, design reviews, and technical decision-making.

— Troubleshoot production issues, system bottlenecks, and AI performance problems.

— Document system designs, development processes, technical decisions, and best practices.

— Mentor other engineers and help improve engineering quality across the team.

— Stay up to date with the fast-moving AI, LLM, and agentic AI landscape.

Requirements

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

— Strong software engineering fundamentals and ability to write clean, maintainable, production-ready code.

— Strong Python experience, ideally 3+ years.

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

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

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

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

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

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

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

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

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

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

— Experience with production testing, observability, monitoring, performance optimization, and cost optimization.

— Solid understanding of algorithms, data structures, machine learning concepts, and data engineering fundamentals.

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

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

— Strong problem-solving, analytical, collaboration, and communication skills.

We offer:
— remote time job, B2B contract
— 12 sick leaves and 18 paid vacation business days per year
— Comfortable work conditions (including MacBook Pro)
— Smart environment
— Interesting projects from renowned clients
— Competitive salary according to the qualifications
 

About Us

Our client is MilTech startup building an on-premises platform for automated annotation of UAV video and training computer vision models for autonomous flight.

We have a strategic partnership with one of the largest Ukrainian UAV manufacturers and access to what is likely the largest privately owned UAV video dataset in the world.

The company is at a very early stage — the funding is secured, the technical vision exists, and the data is available. Our focus now is building the core engineering team to turn this platform into reality.

The Role

We are looking for a Lead Computer Vision / Machine Learning Engineer to join as a founding member of the engineering team.

This role is highly hands-on and strategic. You will define the ML architecture, select the tools and frameworks, and build the machine learning pipeline from the ground up. As the platform grows, you will also build and lead a team of ML engineers.

While the high-level technical direction is defined — including petabyte-scale video processing, active learning pipelines, and edge deployment on NVIDIA Jetson devices — the implementation details will be driven by your expertise and technical judgement.

Responsibilities ML Architecture & Technical Direction

• Design and implement the end-to-end ML pipeline, from raw video ingestion to model deployment on UAV hardware
• Evaluate and select appropriate frameworks and infrastructure tools
• Build systems for experiment tracking, model versioning, and reproducible training
• Establish the training infrastructure and ML development workflow
• Make strategic build vs. integrate decisions across the ML stack

Data Pipeline & Curation

• Design video preprocessing pipelines including:
   
  • clip segmentation
  • frame extraction
  • scene detection
  • embedding generation
• Develop data curation workflows to extract high-quality training datasets from large-scale raw video
• Define the annotation ontology and labeling standards for detection, classification, segmentation, and multi-object tracking

Model Development

• Train and improve computer vision models for:
   
  • object detection
  • scene classification
  • object tracking
  • segmentation
• Implement distributed multi-GPU training for large-scale experiments
• Design and implement active learning pipelines including:
   
  • automated labeling
  • confidence-based routing
  • human review workflows
  • retraining triggers
• Define model evaluation metrics and promotion criteria

Edge Deployment

• Optimize models for real-time inference on NVIDIA Jetson hardware
• Implement model optimization techniques including:
  • ONNX conversion
  • TensorRT acceleration
  • INT8 quantization
• Design the model delivery pipeline from training registry to deployed UAV systems

Team Building

• Hire and mentor ML engineers as the team grows
• Establish engineering practices including:
  • code review
  • testing standards
  • documentation
• Own and communicate the ML technical roadmap

RequirementsMust Have

• 5+ years of experience in computer vision and deep learning, including production deployments
• Strong proficiency with PyTorch, including distributed training
• Experience building object detection and tracking pipelines (YOLO, RT-DETR, Detectron2, or similar)
• Experience optimizing models for edge or mobile deployment (TensorRT, ONNX, SNPE, or similar)
• Experience building ML infrastructure and training pipelines
• Strong Python skills and ability to write production-quality code
• Experience leading or mentoring engineers

Nice to Have

• Experience with UAV, drone, robotics, or autonomous systems
• Experience deploying models on NVIDIA Jetson
• Experience with high-performance video processing pipelines (DeepStream or custom)
• Experience in defense or MilTech environments
• Experience defining ML architecture from scratch in early-stage startups
• C++ experience for performance-critical components

What We Offer

• Founding engineering role with direct influence on company technology
• Ownership of the entire ML pipeline from raw data to deployed models
• Access to one of the largest privately owned UAV video datasets in the world
• Dedicated on-prem GPU infrastructure
• Open-source-first engineering approach
• Opportunity to build and lead a machine learning team
• Competitive salary
• Stock options

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

🌎 About Akvelon:

Akvelon is a US-based software engineering and consulting company partnering with Fortune 500 clients and innovative product companies worldwide. We specialize in AI/ML, cloud solutions, enterprise platforms, and large-scale data-driven systems.

We are currently hiring a Senior Data Scientist for a high-impact AI/ML product environment focused on digital identity, authentication, fraud prevention, and large-scale production ML systems.

The platform processes billions of events annually and serves enterprise customers across fintech, banking, healthcare, e-commerce, gaming, and payments domains.

You’ll work closely with ML Engineers and cross-functional teams on experimentation, model monitoring, statistical analysis, and production-grade machine learning systems that directly impact customer trust and business outcomes.

💻 Responsibilities:
• Develop, validate, and optimize ML/statistical models
• Design experiments and evaluate model performance
• Monitor deployed ML models for drift, reliability, and performance degradation
• Build dashboards and monitoring systems for model observability
• Collaborate with ML Engineers on deployment and production workflows
• Translate model insights into actionable business recommendations
• Work with raw data and optimize analytical workflows
• Communicate findings to technical and business stakeholders

✅ Requirements:
• 5+ years of commercial experience in Data Science / Applied ML
• Strong Python skills (pandas, scikit-learn)
• Strong background in statistics and experimentation
• Advanced SQL skills and experience with Snowflake
• Experience with production ML systems
• Experience with model monitoring, drift detection, retraining strategies
• AWS experience
• Experience collaborating with engineering teams
• Strong communication and stakeholder management skills
• Upper-Intermediate+ English

➕ Nice to have:
• PyTorch or TensorFlow
• AI observability / fraud detection / identity systems
• Looker or similar BI tools
• API & deployment workflow understanding
• Experience mentoring engineers/data scientists

🕒 Work format:
• Full-time
• Remote
• PST overlap required (through 11 AM PST)
• Poland preferred

🎁 We offer:
• Paid vacation and sick leave
• Flexible working schedule
• Remote-first environment
• Career Development Plan
• Paid certifications and external training
• Internal workshops and English classes
• Opportunity to work on production AI systems at scale
• Long-term collaboration with strong engineering teams

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the client:
Our client's platform is designed to work with sales representatives and automate as much of their work as possible, in order to allow them to connect with their clients and make their communications faster. The company also provides intelligence to team managers with performance insights, allowing them to coach their sales reps more effectively.

About the role:
As a Machine Learning Engineer in the Conversational Intelligence Team you will be responsible for building systems that process real-time audio and text streams from Knowledge AI Assistant. You will build scalable machine learning platforms and systems to handle large quantities of data. Engineer low-latency and high-throughput ML systems that must scale for growing business.

Responsibilities:
- Working with voice streams and real-time transcriptions of voice streams to extract intelligence and actionable insights for customers
- Analyzing the relevance of extracted intelligence, performance of the extraction algorithms, and evaluating the performance of third party voice processing APIs
- Finding ways to engineer high availability into a system that has lots of moving parts, not all of which are directly under your control
- Working with stakeholders to make sure our customers have the tools they need to be successful on our platform
- Finding quick ways to prototype and test possible solutions to large problems
- Looking across the stack for the best return on investment for any given pain point.

Requirements:
- 4+ experience in Machine Learning sphere
- 2+ years of experience working with Natural Language Processing.
- Experience with cloud-based data platforms and continuous-deployment projects
- Experience with implementing machine learning pipelines
- Willing to go above and beyond to help other team members
- Ability to prioritize details along a path of iterative delivery
- Ability to quickly ramp up new technologies and start contributing.

Desirable:
- Experience with Go
- Experience building platforms from scratch

We offer:
- Competitive salary and perks; annual satisfaction survey and performance review
- Paid vacation and 100% paid sick leaves
- Work in a creative friendly environment using cutting-edge technologies
- Technical and product leadership opportunities

We are looking for a Clinical LLM Engineer to work on real-world healthcare challenges, building LLM-powered solutions for clinical data extraction.

The platform is scaling across the US healthcare system, focusing on practical impact and improving care through better use of clinical data.

You will fully own prompt engineering and extraction quality, working directly with LLM APIs, while a separate team handles backend and infrastructure. Your focus will be on improving accuracy, system reliability, and adapting workflows as LLM capabilities evolve.

We offer:

• Flexible working hours;
• Paid vacation and sick leave;
• Health insurance;
• Professional growth opportunities;
• Internal English classes & compensation for courses;
• Legal and accounting support.
   

Requirements:

• 3+ years of Python development experience (data processing, scripting, automation);
• Hands-on experience with prompt engineering for LLMs in production;
• Experience working with US healthcare or clinical data;
• Strong understanding of unstructured data (text, PDFs, scanned documents);
• Experience with document classification or similar tasks;
• Experience with evaluation frameworks for LLM performance;
• Basic experience with cloud environments (AWS Lambda, EC2, simple pipelines);
• Experience with Git (GitHub);
• Understanding of Agile development practices;
• High English level.
   

Responsibilities

• Design and optimize prompts for accurate clinical data extraction;
• Adapt prompt strategies to handle real-world variability in medical documents;
• Build document classification workflows (labs, imaging, vaccines, etc.);
• Develop Python pipelines for LLM interaction and data processing;
• Evaluate and improve extraction quality across document types;
• Continuously adapt prompting approaches as LLM capabilities evolve.

About the Client:

Our client is a leading global healthcare organization, driving innovation in pharmaceuticals, biotechnology, and patient-centric solutions.

We design and deliver advanced data, analytics, and AI-enabled solutions that help global organizations turn complex data into intuitive digital tools, enabling teams to make informed decisions in their daily operations and long-term strategy. Our projects span modern operational applications, interactive dashboards, and advanced analytics platforms designed to deliver actionable insights across multiple business domains.

About the Role:

We are looking for a Junior AI/GenAI Engineer to support and evolve AI-driven capabilities within the Palantir Foundry and AIP ecosystem.

In this role, you will contribute to the transformation of a data platform support function into a proactive, AI-enabled engineering ecosystem, leveraging GenAI, semantic models, and automation to improve data reliability, operational efficiency, and self-service capabilities.

You will work at the intersection of AI, data engineering, and platform operations, helping integrate AI into real production workflows while enabling teams to adopt modern AI-driven approaches.

Key Responsibilities:

• Develop and support AI and GenAI-driven solutions within enterprise data platform
• Apply LLM-based techniques such as prompt engineering, embeddings, and retrieval-augmented generation (RAG) for practical use cases
• Build and integrate AI capabilities into data workflows, pipelines, and backend systems (including Foundry environments)
• Collaborate with data engineers to understand data sources, ensure data quality, and prepare data for AI-enabled workflows
• Integrate AI solutions into Foundry workflows and Ontology-based data models to enable insights and business applications
• Support deployment and operational stability of AI-enabled solutions in production environments
• Assist in troubleshooting and resolving issues in AI-powered workflows and applications
• Work with stakeholders to translate business needs into AI-enabled technical solutions

Required Skills & Experience:

• 1+ years of experience in AI, ML engineering, data engineering, or related technical roles
• Strong Python programming skills
• Hands-on experience in Generative AI / LLM-based solutions (e.g. prompt engineering, embeddings, APIs, NLP use cases), RAG
• Understanding of how AI/ML solutions are used in production systems (integration, inference, workflows)
• Experience working with data (structured and/or semi-structured datasets)
• Familiarity with data pipelines, backend systems, or distributed data workflows
• Ability to troubleshoot and support production environments and technical systems
• Strong problem-solving mindset and ability to work in complex enterprise environments
• Good communication skills and ability to collaborate with engineers and technical stakeholders
• Upper-Intermediate English or higher

Nice to have:

• Experience with Palantir Foundry and/or AIP
• Experience in big pharma or highly regulated industries.
• Exposure to production support, monitoring, or platform reliability engineering

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

The company is looking for a Tech Artist / Assets Manager who blends technical precision with creative insight to enhance, automate, and streamline asset workflows for AI-powered playable ads.

This role bridges the gap between Creative, Development, and Production teams, ensuring every visual, 3D, and VFX asset moves seamlessly from concept to final build.
 

It’s a perfect fit for someone who understands both the artistic vision and the technical structure behind game pipelines - and who enjoys designing smarter, faster, and more efficient ways to manage assets.
 

You’ll take ownership of how assets are organized, optimized, automated, and integrated into production. By supporting internal AI systems, Unity environments, and creative tools, you’ll help maintain a scalable, intelligent, and smooth playable ad pipeline.

 

Key Responsibilities:
 

• Optimize and prepare assets (3D models, textures, animations, VFX, UI, and audio) for lightweight HTML5 playable ads.
• Automate workflows for asset preparation, naming, compression, and deployment using internal AI tools or custom scripts.
• Ensure assets are fully compatible with AI-driven production systems and can be efficiently processed through automated pipelines.
• Establish and maintain structured folder systems, naming conventions, and versioning across all projects.
• Validate and test assets in 3D tools to ensure visual integrity and performance.
• Communicate effectively with tech art, creative, and development teams regarding asset readiness and optimization standards.
• Maintain clear documentation and visual references for each asset package to ensure transparency and reusability.
• Continuously identify opportunities to enhance automation, reduce manual tasks, and streamline production flows.
  
   

Qualifications:
 

• Hands-on experience with various 3D tools (Blender, Three.js is a plus).
• Solid understanding of asset optimization (polygon reduction, texture compression, material efficiency).
• Familiarity with AI-assisted production pipelines or creative automation tools.
• Basic understanding of game design principles and how assets influence gameplay and user experience.
• Exceptional organizational skills - clean naming, clear structure, and consistency are key.
• Basic scripting or batch-processing experience (Python, JavaScript, or CLI tools).
• A collaborative, solution-oriented mindset with strong communication skills in English.
• (Nice to have) Experience with version control (Git), render pipelines, or internal asset management tools.
  
   

Why You’ll Love Working Here:
 

This is an opportunity to be part of a fast-evolving creative tech environment where innovation meets automation. The company empowers you to shape the future of AI-driven playable ads, helping to design workflows that are intelligent, scalable, and efficient.

If you thrive at the intersection of creativity and technology—and want to make a real impact in how digital assets are produced and this is your chance to grow with a forward-thinking team.

 

Interested? Let’s Connect!
 

If this sounds like you, don’t hesitate—send your CV and contact information today. The company is actively reviewing applications and would love to learn more about your skills, projects, and creative mindset.
Take the next step toward joining a team where your technical talent and creative curiosity truly matter.

ZentixSoft is looking for a Mid/Senior AI (LLM) Engineer 🤖🚀
 

At ZentixSoft, we follow the "People over processes" principle. We are expanding our AI/ML direction for our international partners and looking for a hands-on Engineer who knows how to work with Open-Source LLMs, build production-ready RAG systems, and orchestrate intelligent agents from scratch.
 

Note: This is an Outstaffing role where you will be integrated into a long-term project with an innovative global client, enjoying all the benefits, support, and flexibility of the ZentixSoft culture.
 

The Role: You will be responsible for building, optimizing, and deploying LLM-based solutions directly within the client's ecosystem. Your focus will include prompt engineering, setting up vector databases (embeddings), architecture design for RAG systems, and agent orchestration. You will also work on fine-tuning and experimenting with uncensored models.
 

Our Expectations: 
🔹 LLM Expertise: Strong experience with open-source models (Llama, Qwen) and hands-on work with uncensoring/fine-tuning models. 
🔹 AI Architecture: Deep understanding of Embeddings, RAG (Retrieval-Augmented Generation), and intelligent Agent Orchestration frameworks (e.g., LangChain, CrewAI, AutoGen). 
🔹 Core Tech: Mid-level+ Python proficiency (FastAPI, Asyncio, Pydantic). 
🔹 Infrastructure: Solid *nix OS experience (Linux environment, bash scripting, Docker) for deploying and maintaining models. 
🔹 Prompt Engineering: Advanced skills in systemic prompting, few-shot learning, and guardrails implementation. 
🔹 Communication: English level B2+ for smooth daily collaboration with international stakeholders.
 

Why ZentixSoft? 
💸 Salary Review: Transparent growth and competitive compensation. 
⚖️ Balance: No micromanagement and no overtimes — we respect your time and boundaries.
 🦾 Trust: A culture of ownership where your expertise and technical decisions are highly valued.
 

Project Details: 
📍 Remote (Ukraine / EU). 
⏳ Full-time, long-term cooperation. 
🚀 Start: ASAP.
 

Please share your CV, spoken level of English and monthly salary expectations (Gross, USD).

Company Overview:
Webxloo, LLC is an international software development company founded in 2005, with headquarters in Florida, USA, and a branch in Ukraine. Our products, including Autoxloo and Simulcast , focus on business automation and real-time systems in the automotive industry. We are expanding and seeking a highly skilled AI & PHP Backend Developer to join our team.
 

Role Overview:
As an AI & PHP Backend Developer at Webxloo, you will play a dual role: designing and implementing AI-based automation solutions while developing and maintaining robust backend systems using PHP. You will collaborate with cross-functional teams to enhance our product offerings, ensure system scalability, and deliver intelligent automation solutions that provide real business value.
 

Key Responsibilities:

• Design, implement, and maintain AI-driven automation workflows to optimize internal and external processes.
• Build intelligent automation using machine learning, LLMs, and low-code/no-code tools such as n8n, Zapier, or Power Automate.
• Integrate AI features into enterprise platforms and software products.
• Develop and maintain backend modules using PHP frameworks such as YII2, Laravel, or Symfony.
• Work with databases including MySQL/MariaDB, MongoDB, Redis, and ensure efficient data management.
• Implement clean, maintainable code following OOP principles, SOLID, DRY, KISS, YAGNI, and PSR standards.
• Collaborate with front-end developers, QA, design, and support teams to deliver high-quality features.
• Monitor, debug, and enhance existing codebases to ensure system reliability, performance, and security.
   

Required Skills & Qualifications:

• 1+ year of experience in AI development, workflow automation, or backend PHP development.
• Solid experience with PHP frameworks (YII2, Laravel, Symfony) and OOP principles.
• Proficiency with MySQL/MariaDB, MongoDB, and caching/message queue systems (Redis, RabbitMQ).
• Experience with RESTful APIs, XML, DOM, CURL, and Regex.
• Familiarity with AI/ML tools, LLMs, and enterprise automation platforms.
• Strong analytical skills and attention to detail.
• English proficiency (intermediate or higher) for technical documentation and collaboration.
• University degree in Computer Science, Engineering, or a related field.
   

Preferred/Advantageous Experience:

• Experience with cloud platforms, Docker, Kubernetes, or serverless architectures.
• Experience in automotive, healthcare, or digital commerce industries.
• Knowledge of frontend frameworks (React, Vue.js) is a plus.
   

What We Offer:

• Competitive salary with regular reviews.
• Standard working schedule with no overtime (9:00 - 18:00, lunch break 13:00 - 14:00).
• Exposure to international projects with various AI and backend development challenges.
• Career growth, skill expansion, and leadership opportunities.
• Collaborative team environment with experienced professionals.
   

Technical Requirements:

• Computer or laptop with at least 16GB of RAM.
• High-speed internet (minimum 20 Mbps).

• Headset and webcam for regular video calls.
   

  Higher consideration would be granted to individuals that have completed AI certification, particularly those with experience in Claude Code (Claude 4.7) and its related tools and ecosystem!
   

  Candidates must have worked with clear understanding utilizing the Anthropic Claude Co-working workspace and tools.

If you are interested in this opportunity, we encourage you to apply now.

ML Research Engineer
c3 - Kyiv (on-site) - Full-time - Equity Potential

c3 is a London-based software startup opening an office in Kyiv to carry out deep research and development within ML/CV/Time Series

A lot of what we are working on relates to time series modelling - market prediction, bots etc. Similarly, if you have experience within ML/CV for the defence sector, this would be a plus.

We are building a spatial intelligence data layer. We are capturing a number of datapoints about a physical space at a point in time, and outputting deep insights. 

The output is structured intelligence derived from physical reality - not
from what people say about it, not from documents describing it, but from direct measurement of it over time.

One patent filed. Two more in preparation. We are not yet public about
the application. You will find out in the room.

This is a startup early-stage team role. For the next six months we will be working out the architecture together. After that we build the team out around what we have decided.

What the technical problem looks like:

You have LiDAR point clouds of the same physical space captured at different points in time. You need to: align them robustly across varying scan conditions, detect and classify what changed between them at element level using spatial context from the 3D model, compute a rate of change, and project it forward with calibrated uncertainty. You also need to design a training data pipeline that bootstraps a condition assessment model from heterogeneous sources - some structured, some not - before your own capture pipeline reaches sufficient volume.

The output feeds a downstream intelligence model whose architecture you will also help design. None of this is off the shelf. You build it from
first principles with access to real-world data from day one.

What we are looking for:

You have produced serious work in one or more of: computer vision, 3D reconstruction, SLAM, spatial ML, or time series modelling on
physical systems (financial markets or other).

Production instinct. You know the difference between a result and a system. You know when a classical method is the right choice and when it is not. You have built things that ran outside a notebook.

Startup disposition. You have either founded something, been early at
something, or have thought seriously about why now is the moment. 

You are not looking for a job. You are looking for a problem worth the next several years.

Kyiv. You are here or you want to be. This role is on-site. We have an
office. The reason is simple: the architecture decisions we need to make in the next six months happen on a whiteboard, not over Slack. Hybrid work acceptable, not fully remote.

The stack is not fixed - you will help decide it. Likely Python,
PyTorch, point cloud processing, a structured data layer.

Compensation: competitive Kyiv-market salary and potential for meaningful equity. Funded through an operating business backed with London-based capital. No runway risk.

You can check our website here: https://c3.report

Look forward to speaking with you.

This engagement is focused on building an internal AI platform that enables developers to ship AI-powered services efficiently. Scope includes model connectivity, prompt testing and evaluation, monitoring/observability, and the underlying AI infrastructure layer.

The objective is to improve DevEx and reduce time-to-market for AI features.

Location: Serbia (relocation support available), Croatia, Poland, Portugal

Tasks:

• Build and operate the AI platform infrastructure enabling developers to ship LLM-based services faster.
• Implement and maintain Kubernetes-based runtime environments (incl. AKS) for AI workloads.
• Manage infrastructure as code with Terraform (modules, environments, CI/CD automation).
• Support LLM workflows: RAG, agents, prompt experimentation, evaluations, and deployment patterns.
• Integrate and operate tooling such as Azure AI Foundry, LiteLLM, Langfuse, MLflow.
• Orchestrate pipelines using Kubeflow Pipelines and/or Argo Workflows (build, deploy, evaluate).
• Improve platform reliability and observability (monitoring, logging, tracing, cost/perf signals).
• Collaborate closely with developers to streamline DX (APIs, templates, docs, golden paths, automation).

Requirements:

• Strong hands-on experience with Kubernetes in production (preferably AKS).
• Solid Terraform expertise (IaC best practices, multi-env setups).
• Practical experience supporting ML/LLM workloads in a platform or DevOps/MLOps context.
• Proficiency in Python for automation, scripting, and supporting APIs/evaluation tooling.
• Understanding of CI/CD, release processes, and production-grade operations.
• Ability to work under tight timelines and deliver pragmatically.

Nice to Have

• Experience building internal developer platforms or “paved roads” for engineering teams.
• Familiarity with LLM evaluation frameworks, prompt testing workflows, and LLM observability.
• Exposure to RAG architectures, vector databases, and agentic patterns.
• Experience with Kubeflow, Argo, and ML lifecycle tooling.

Engagement Type

• Long-term B2B contract.

Team

• You will join a team of 5, with 3 AI Platform Engineers being added.

Location / Timezone

• Remote work from Croatia, Poland, Portugal, and Serbia.
• European working hours.
• Occasionally available for meetings up to 10:00 AM PST (US overlap).

This engagement is focused on building an internal AI platform that enables developers to ship AI-powered services efficiently. Scope includes model connectivity, prompt testing and evaluation, monitoring/observability, and the underlying AI infrastructure layer.

The objective is to improve DevEx and reduce time-to-market for AI features.

Location: Serbia (relocation support available), Croatia, Poland, Portugal

Tasks:

• Build and operate the AI platform infrastructure enabling developers to ship LLM-based services faster.
• Implement and maintain Kubernetes-based runtime environments (incl. AKS) for AI workloads.
• Manage infrastructure as code with Terraform (modules, environments, CI/CD automation).
• Support LLM workflows: RAG, agents, prompt experimentation, evaluations, and deployment patterns.
• Integrate and operate tooling such as Azure AI Foundry, LiteLLM, Langfuse, MLflow.
• Orchestrate pipelines using Kubeflow Pipelines and/or Argo Workflows (build, deploy, evaluate).
• Improve platform reliability and observability (monitoring, logging, tracing, cost/perf signals).
• Collaborate closely with developers to streamline DX (APIs, templates, docs, golden paths, automation).

Requirements:

• Strong hands-on experience with Kubernetes in production (preferably AKS).
• Solid Terraform expertise (IaC best practices, multi-env setups).
• Practical experience supporting ML/LLM workloads in a platform or DevOps/MLOps context.
• Proficiency in Python for automation, scripting, and supporting APIs/evaluation tooling.
• Understanding of CI/CD, release processes, and production-grade operations.
• Ability to work under tight timelines and deliver pragmatically.

Nice to Have

• Experience building internal developer platforms or “paved roads” for engineering teams.
• Familiarity with LLM evaluation frameworks, prompt testing workflows, and LLM observability.
• Exposure to RAG architectures, vector databases, and agentic patterns.
• Experience with Kubeflow, Argo, and ML lifecycle tooling.

Engagement Type

• Long-term B2B contract.

Team

• You will join a team of 5, with 3 AI Platform Engineers being added.

Location / Timezone

• Remote work from Croatia, Poland, Portugal, and Serbia.
• European working hours.
• Occasionally available for meetings up to 10:00 AM PST (US overlap).

We are looking for an AI-first Engineer / Product Engineer to join our client, a fast-growing eCommerce company building modern AI-powered product workflows and scalable production systems.

This is a high-impact product engineering role for someone who enjoys ownership, systems thinking, and building real-world products end-to-end. You’ll work closely with product and non-technical stakeholders, helping shape both customer-facing experiences and internal tooling, while integrating AI into real production workflows.

Key Responsibilities:
 

- Build and ship features using AI-assisted development workflows
- Design scalable, production-ready systems and architecture
- Own features and systems end-to-end — from idea and requirements through to production deployment
- Integrate AI into real production systems, APIs, databases, and async workflows
- Collaborate closely with product managers and non-technical stakeholders
- Make technical decisions balancing speed and product quality
- Work across multiple areas of the product and adapt quickly to changing priorities

Requirements:

- 5–6+ years of commercial software engineering experience
- Strong experience with Next.js, React, TypeScript, and Node.js
- Solid understanding of scalable system design and production architecture
- Experience building high-scale B2C, eCommerce, or product-focused applications
- Strong knowledge of PostgreSQL, including writing and optimising raw SQL
- Experience integrating APIs, async workflows, and cloud-based infrastructure
- Good understanding of AWS and modern deployment workflows
- Strong communication skills and comfort working directly with product stakeholders
- AI-native engineering mindset, actively using tools like Cursor, Claude, or LLM workflows in day-to-day development
- Comfortable context switching and wearing multiple hats in a fast-moving environment

Nice to Have:

- Experience with Shopify ecosystems or integrations
Stripe experience
- Experience building AI-powered workflows, automations, or agent systems
- Startup or high-growth product company experience

What We Offer:

- High-impact product work with real ownership and autonomy
- Modern AI-first engineering environment
- Fast-moving product culture with strong engineering standards
- Collaborative, product-focused team environment
- Competitive compensation aligned with experience

How to Apply:

Send us a short intro about yourself and your relevant experience - and tell us your favourite ice cream flavour (ours is cherry🍒).

What you'll do

• Set the technical bar across our vehicle-detection and license-plate-recognition stack. Govern model architecture choices, dataset strategy, evaluation pipelines, and deployment patterns.
• Design, train, optimise, and deploy CV models for vehicle detection, classification (type, colour, brand, model), and GCC license-plate recognition.
• Convert and optimise models (YOLO family and others) for inference on Intel CPUs using OpenVINO; profile and reduce latency on edge hardware until you hit the SLA you own.
• Drive performance work on inference latency, model footprint, and CPU resource use for fleet-scale deployment.
• Govern the labelling guideline with the AI labelling operator: prioritise edge cases, audit dataset quality, sign off on dataset releases.
• Partner with the full-stack and web teams to expose model outputs through stable APIs that survive model updates.
• Mentor the AI labelling operator and any junior engineers who join later. Review code and model evaluations.
• Stay current on practical CV research; bring back what's worth integrating, reject what isn't.

What you'll bring

• 5+ years of production computer-vision work, including at least one role with senior or technical-lead responsibility.
• Deep C++ (C++17 or newer) and Python. Comfortable in both Linux and Windows build environments.
• Strong OpenVINO experience or equivalent (TensorRT, ONNX Runtime). You have personally optimised a model below an SLA you owned.
• ANPR / OCR / vehicle-recognition or comparable safety-critical CV background - ideally on edge hardware.
• Demonstrated ability to design model evaluation pipelines and ship measurable improvements over baselines.
• Linux command-line fluency.
• English fluency - written and spoken.

Nice to have

• Direct GCC license-plate experience.
• Experience working with classified or restricted-access datasets and the operational disciplines that go with them.
• Experience leading 1-3 person AI teams.
• C++ inference on Intel platforms (OpenVINO model optimisation, INT8 quantisation, multi-threaded inference).
• Windows desktop application packaging.
• Experience with M1 / Apple Silicon for future portability.
• Arabic - reading useful for GCC plate work.

Location & work authorization

Prefer candidates willing to relocate; the company sponsors residency for international hires.  Alternative is remote with occasional travel to UAE.