Jobs

We’re building AI-driven solutions to analyze high-resolution drone imagery and help insurance companies assess wildfire and natural disaster risks more precisely. This project sits at the intersection of AI, 3D visualization, and geospatial analytics.

Key Responsibilities

• Fine-tune and benchmark zero-shot object detectors (Grounding-DINO / OV-DINO) and depth estimation models on drone imagery.

• Integrate DSM/DTM layers for precise depth calculations.

• Build reproducible evaluation notebooks and visualizations mapping the model.

• Transition from open-set to closed-set models once annotated pilot data becomes available.

• Handle 2D-to-3D transformations and spatial data alignment.

Requirements

• Solid understanding of computer vision fundamentals (transfer learning, fine-tuning).

• Hands-on experience with Python and PyTorch or TensorFlow.

• Familiarity with Git, Jupyter, and cloud environments (AWS preferred).

• Basic understanding of web technologies (React/Next.js is a plus).

• Experience with Grounding-DINO, Segment Anything Model (SAM), or similar zero-shot detection models.

• Knowledge of depth estimation or 3D reconstruction methods.

• Data visualization skills (Plotly, Three.js, or similar).

Interview process:
1. Intro-call with the Recruiter.
2. Technical Interview.

What do we offer?
💻 Full remote work and meetings for brainstorming.
💡Freedom and flexibility.
🚀A team of top experts and synergy of the entire organization.
💸Competitive salary.
🌿 Vacation and sick leaves.
🙏Therapy sessions with our psychologist.
📚Budget for professional development.
💃Corporate events and team building.

Project description

You'll be working in the AI platform team, serving internal clients. Our team consists of data scientists, software engineers, and business analysts.
We process huge amounts of data for multiple use cases, using both classic machine learning models and modern generative AI. We are quickly growing in the areas of chatbots and agents, and we are technologically savvy and cloud native

Responsibilities

Are you passionate about AI and developing cutting-edge solutions? Do you have a knack

for creating high-quality, production-ready code?

We're looking for a Senior AI Software Engineer to:

Develop innovative agentic applications at every stage, from initial proof of concept to

full scale production deployment.

Establish standards for building agents and agentic tools

Research modern agentic frameworks and use them to implement solutions that match

UBS standards

Develop high-quality and production-ready Python code to be deployed on cloud

Mentor and guide junior colleagues

Skills

Must have

Excellent Python coding skills

Hands-on experience building agentic solutions

agents, chatbots, tools for agents

Knowledge of genAI related APIs (OpenAI, Anthropic, etc.)

Experience with agentic frameworks like LangGraph, AutoGen, or Semantic Kernel

Hands-on experience using cloud services

Azure, and especially Azure AI services would be a plus

Proficient in CI/CD tools and code productionization

Nice to have

Understanding of Machine Learning and related Python tools would be a plus

Knowledge of Kubernetes and especially AKS would be a plus

About the project:

Our customer is the European online car market with over 30 million monthly users, with a market presence in 18 countries. The company is now merging with a similar company in Canada and needs support on this way. As a Senior AI Engineer, you will play a pivotal role in shaping the future of online car markets and enhancing the user experience for millions of car buyers and sellers.
 

Please note that this is a short-term position, lasting for one month only.

Requirements:

• 3+ years of experience with OpenAI APIs or conversational AI systems.
• Strong Node.js backend skills (TypeScript preferred).
• Experience with GraphQL, REST, and Next.js/React.
• Familiarity with AWS infrastructure and CI/CD pipelines.
• Understanding of OpenAI app integrations, GPT models, and function calling.
• Strong communication and collaboration skills in distributed teams.
• English level - Upper-intermediate or above

Would be a plus:

• Experience building custom GPTs or using vector databases (RAG).
• Background in automotive marketplaces or search/recommendation systems.
• Familiarity with prompt engineering and conversational UX.

Responsibilities:

• Develop and launch the client’s ChatGPT integration using OpenAI’s latest tools and APIs.
• Connect and expose the client’s GraphQL/REST APIs to ChatGPT.
• Work with product and design teams on conversational user experiences.
• Ensure performance, security, and compliance of integrations.
• Deploy, test, and monitor solutions using AWS and GitHub Actions CI/CD.

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

About the Project

We are building a cutting-edge, real-time AI sports commentator. This system analyzes live video streams of games to generate and deliver commentary. While our MLOps team focuses on the low-latency video analysis, your role is to ensure the final output sounds completely human.

Role Summary

We are seeking a specialized AI Engineer with deep expertise in speech synthesis, audio data pipelines, and real-time audio generation. Your core mission is to solve the "last mile" of our project: making the AI-generated commentary "very naturally," "very high quality," and feel "like a real person as opposed to AI".

This is a critical role requiring specific experience in making synthetic speech sound human, emotional, and context-aware. You will be responsible for everything from dataset creation to the final synthesis models that generate dynamic, natural-sounding commentary in real-time.

Key Responsibilities

• Audio Dataset Architecture: Design, build, and manage the large-scale audio dataset that powers our commentator. This includes sourcing human-recorded clips, defining data structures, and developing annotation strategies.
• Contextual Metadata: Implement a robust metadata system for audio clips, tagging them by excitement level, match event type (e.g., goals, fouls), player/team tags, and other contextual data.
• Speech Synthesis & Cloning: Research, evaluate, and implement state-of-the-art speech synthesis (TTS) or voice cloning models (e.g., using paid tools or in-house models) to achieve human-like intonation and flow.
• Dynamic Audio Generation: Architect the system for handling dynamic content, especially player and team names.
• Natural "Stitching": Solve the critical challenge of stitching audio segments together (e.g., "What a goal by" + "[player_name]!") while ensuring the transitions sound natural and maintain consistent tone and emotion.
• Emotional Modeling: Develop the system for controlling and triggering appropriate variations in excitement and tone based on in-game events. This includes mapping game context (like a last-minute goal) to a specific emotional intensity.
• Commentary System Architecture: Design the pipeline that maps game data and events (passes, goals, momentum shifts) to the selection or generation of contextually appropriate commentary.
• Trigger Logic: Implement the logic (rule-based, ML, or hybrid) that maps game context to the correct audio playback.
• Synchronization & Timing: Work with the MLOps team to ensure all commentary is tightly synchronized and aligns naturally with the on-screen events.
• Audio Post-Processing: Investigate and apply audio mixing or post-processing techniques to dynamically match the in-game context, such as blending with crowd noise.

Required Qualifications & Experience

• 3+ years of demonstrated experience in engineering, including speech synthesis (TTS), or a related AI/ML field.
• Proven experience in building and managing large-scale audio datasets for machine learning.
• Deep expertise in modern speech synthesis (TTS), voice cloning, or phoneme-based generation techniques.
• Hands-on experience solving audio "stitching" or "splicing" challenges, with a strong portfolio of achieving natural intonation and prosody.
• Experience with modeling emotion, excitement, or intonation in speech.
• Strong understanding of audio system architecture, including how to map game data/events to audio triggers.
• Familiarity with audio processing, mixing, or post-production techniques.
• Strong programming skills (e.g., Python) and experience with relevant audio and machine learning libraries.

What We Offer:

• Medical Insurance in Ukraine and Multisport program in Poland;
• Offices in Ukraine and Poland (Wroclaw);
• All official holidays;
• Paid vacation and sick leaves;
• Tax & accounting services for Ukrainian contractors;
• The company is ready to provide all the necessary equipment;
• English classes up to three times a week;
• Mentoring and Educational Programs;
• Regular Activities on a Corporate level (Incredible parties, Team Buildings, Sports Events, and Tech Events);
• Advanced Bonus System.

We’re an early-stage startup building next-generation personalization technology for digital marketing. Our mission is to help brands deliver smarter, more relevant customer experiences using data and machine learning.

Role Overview

We’re looking for a Senior Machine Learning Engineer to design and scale production ML systems that power real-time personalization and decision-making at large scale. 

You’ll own the end-to-end ML lifecycle; from transforming raw behavioral data into features, to deploying APIs that deliver predictions in milliseconds, to building the observability needed to keep models trustworthy in production. 

This role requires strong applied ML skills, MLOps expertise, and an ability to think in terms of systems, not just models.

What You’ll Do

• Build and productionize ML models for ranking, personalization, and customer engagement.
• Develop pipelines that turn behavioral, demographic, and contextual signals into online/offline features.
• Design and deploy low-latency APIs and decision services for decision making.
• Implement experimentation frameworks, including A/B testing and exploration exploitation strategies.
• Operationalize the ML lifecycle: automated training, CI/CD for models, artifact and feature versioning, online/offline parity.
• Build observability into ML systems: monitor data quality, model drift, and decision outcomes; trigger retraining where needed.
• Establish closed feedback loops that connect decisions to outcomes (conversions, engagement, fatigue signals like unsubscribes).
• Collaborate with product and engineering to balance personalization, compliance, and business value in real-world systems.
   

What You Bring

• 5+ years experience in applied ML engineering (recommendation systems, personalization, ranking, or ads).
• Strong background in Python/Go, SQL, and modern ML frameworks (TensorFlow, PyTorch, or similar).
• Strong grasp of MLOps practices: CI/CD for ML, containerization (Docker), orchestration (Kubernetes, Airflow/Kubeflow), model registries, monitoring frameworks.
• Familiarity with cloud ML platforms (Vertex AI, SageMaker, or similar) and data warehouses (BigQuery, Snowflake, Redshift).
• Experience deploying real-time ML systems (low-latency serving, feature stores, event-driven architectures).
• Understanding of multi-objective optimization and trade-offs in personalization.

• Comfortable working cross-functionally in a startup environment.

   

Nice to Have

• Experience in martech, adtech, CRM, or large-scale personalization platforms.
• Exposure to bandit algorithms, reinforcement learning, or causal inference for adaptive decision-making.
• Prior work on systems serving millions of users at scale.
• Experience with Google Cloud Platform.
• Experience with observability tools (Prometheus, Grafana, Evidently, WhyLabs, Great Expectations) for monitoring data and model health.

We’re looking for an experienced n8n and automation specialist to help us build and manage AI-powered agents (“workers”) that automate workflows across our business tools — including our in-house application, scraper apps, HubSpot, HelpScout, Asana, and other platforms.
 

What You’ll Do:

• Design and configure automated workflows using n8n (no-code/low-code).
• Connect and integrate multiple tools and APIs to create seamless data flows.
• Develop AI-driven automations that can analyze scraped data, make decisions, and input information into our systems with minimal human supervision.
• Ensure workflows run reliably and efficiently, handling exceptions or errors proactively.
• Document each automation clearly so our team can easily understand, monitor, and manage them.
   

What We’re Looking For:

• Proven hands-on experience with n8n and building automations between multiple platforms.
• Strong understanding of APIs, webhooks, and data integration concepts.
• Experience with tools such as HubSpot, HelpScout, Asana, and data scrapers is a major plus.
• Detail-oriented and communicative — able to explain and document processes clearly.
• Capable of delivering fast, reliable, and scalable automations.
   

Bonus Points:

• Experience building AI-integrated workflows (e.g., using OpenAI, LangChain, or similar).
• Experience with Python scripting or custom API integrations for complex cases.
• Previous work automating research or data input tasks.
   

If you have Looms or videos showing past automations you’ve built, please include them with your application — we’d love to see your work in action.

Hello!

We are Harmix (www.harmix.ai), a Ukrainian startup that innovates long-horizon memory and multimodal search for AI agents. We are launching the Proactive AI Manager. This workflow-driven operator anticipates tasks and follows through end-to-end. Our research focuses on cross-modal interpretation and knowledge representation in human-AI collaboration. Harmix was featured at TechCrunch Disrupt and Collision.

We seek a Middle ML Engineer specializing in Generative AI to join our innovative team. You'll be at the forefront of developing multimodal AI, Large Language Models (LLMs), and AI Agents.

Key Responsibilities:

• Develop and optimize generative models using Python and PyTorch.
• Implement and refine multimodal AI solutions integrating audio, text, and visual data.
• Design and enhance Large Language Models (LLMs) and AI agents for complex tasks.
• Build robust ML pipelines for training, evaluation, and deployment.
• Collaborate closely with backend, frontend, and DevOps teams to ensure seamless integration of AI models.
• Conduct experiments, analyze results, and continually improve model performance.

• Document research findings, codebases, and model architectures clearly and effectively.

   

What We Expect from the Candidate:

• Solid understanding of Machine Learning fundamentals, including deep learning, NLP, and generative models.
• 3+ years of experience working with Python and PyTorch.
• Practical experience with LLMs (e.g., GPT models, LLaMA), transformer architectures, and AI agents.
• Experience developing and deploying multimodal AI systems.

• Strong analytical and problem-solving skills.

   

What Is a Plus:

• Experience with vector databases and retrieval systems.
• Knowledge of cloud services (AWS, GCP, Azure) and containerization (Docker).
• Understanding of Databricks, CI/CD processes and deployment best practices.

• Contributions to open-source ML/AI projects.

   

What We Offer:

• Remote Contract: 20-40 hours per week.
• Flexible work schedule.
• Collaborative environment with opportunities for professional growth.
• Chance to contribute directly to innovative products shaping the future of the industry.

About Us

ChatRevenue 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 the future of sales automation with an AI-native platform that completely upends the traditional CRM market. By structuring data for intelligent automation, we enable agentic AI to design workflows, assist Sales Leaders and Sales Reps in their daily routines, and generate predictable sales funnels – all through a simple, chat-driven interface.

The result: a CRM that works for you, not the other way around. A proactive sales automation that drives growth, productivity, and customer insight, positioning ChatRevenue to redefine a massive, entrenched market.

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

• Generative UI (React)
• 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.

Ajax Systems is a global technology company and the leading developer and manufacturer of Ajax security systems with smart home capabilities in Europe. It encompasses a comprehensive ecosystem featuring 180 devices, mobile and desktop applications, and a robust server infrastructure. Each year, we experience substantial growth in both our workforce and our user base worldwide. Currently, the company employs over 4,100 individuals, while Ajax sensors safeguard 3.5 million users across more than 187 countries.

This position presents an exceptional opportunity for a Project Manager with proven experiece and a desire to advance in leading strategically significant initiatives in the areas of Supply Chain Automation (Procurement, Logistics, MRP) and R&D processes automation. The successful candidate shall operate within a Project management Office, interacting closely with executive leadership and cross-functional teams to deliver projects of measurable business value. This role offers high organizational visibility, access to strategic programmes, and long-term career development in a digitally transforming enterprise.

Key responsibilities:

• Lead the full project lifecycle - from initiation through planning, execution, monitoring and controlling, to closure
• Deliver projects using both traditional Waterfall and Agile methhodologies, selecting and adapting the most appropriate approach based on project context
• Facilitate agile ceremonies where relevant and foster incremental delivery principles
• Develop and maintain comprehensive project charters, WBS, resource plans and communication matrices
• Oversee scope management, ensuring alignment with business objectives and change control discipline
• Establish and maintain detailed schedules, leveraging Gantt charts, burndown charts and milestone tracking
• Manage budgeting and cost control, including estimates, variance analysis, and reporting
• Define and monitor quality metrics accross deliverables, ensuring alignment with acceptance criteria
• Proactivle identify, assess, and mitigate project risks and issues, maintaining transparent logs and response plans
• Drive stakeholder management in complex matrix environments - establishing trust, aligning interests, and maintaining productive relationships accross business and technical domains
• Ensure clear confident and tailored communication with chief executives and senior leadership, supporting informed decision-making and strategic oversight
• Lead internal and external teams with clarity of direction, ensure efficient resource utilisation and collaboration
• Support vendor and procurement coordination, where applicable, including contract monitoring

• Ensure project artefacts and governance checkpoints are maintained in compliace with PMO procedures

   

Key Requirements:

• 3+ years of project management experience in complex corporate settings, ideally within automation, ERP or R&D environments
• Practical experience managing projects in Agile environments, with working knowledge of SCRUM, Kanban, or hybrid delivery models
• Demonstrated success in managing projects related to Procurement, Logistics, Material Resource Planning or Product Development Automation
• Sound knowledge of PMI’s PMBOK Guide or other established frameworks (industry or vendor standards for project management). PMP, PRINCE2 or Agile certifications will be a plus
• High proficiency in project tracking and documentation tools: JIRA, Confluence, MS Project, Trello, or similar
• Excellent interpersonal and communication skills, with th ability to tailor messages across technical and executive audiences
• Strong planning, analytical thinking and problem-solving capabilities

• Bachelor’s or Master’s degree in Business Administration, Engineering, Information Systems, or a related disciplines

   

We offer:

• Opportunity to build your own processes and best practices;
• A dynamic team working within a zero-bullshit culture;
• Working in a comfortable office at UNIT.City (Kyiv). The office is safe as it has a bomb shelter;
• Reimbursement for external training for professional development;
• Ajax's security system kit to use;
• Official employment with Diia City ;
• Medical Insurance;

• Flexible work schedule.

   

Ajax Systems is a Ukrainian success story, a place of incredible strength and energy.

Location: Remote (Europe preferred)

Contract Type: Freelancer long-term Contract

Key Responsibilities:

• Develop Cutting-Edge AI Models: Design, train, and deploy state-of-the-art machine learning models tailored for Cuebric’s filmmaking applications, particularly in generative AI  (computer vision, computer graphics, 3D)
• Develop Intelligent AI Agents: Build and refine agentic AI workflows that interact dynamically with creators, guiding them through storytelling and creative processes.
• Enhance Multi-Agent Collaboration: Implement multi-agent architectures where AI models collaborate in tasks like image generation, refinement, and contextual storytelling.
• Optimize and Scale: Develop scalable data pipelines, optimize models for real-time performance, and ensure deployment readiness for production environments.
• Conversational AI Integration: Implement context-aware AI assistants that respond dynamically to user input, enhancing storytelling guidance.
• Collaborate Across Teams: Work closely with engineers, artists, and product managers to seamlessly integrate AI-powered features into Cuebric’s platform.
• Deploy ML Models at Scale: Develop robust pipelines for model deployment, monitoring, and optimization in cloud-based environments.

• Validate and Iterate: Conduct A/B tests, performance benchmarks, and rigorous validation against key filmmaking and creative industry metrics.

   

Qualifications:

• Technical Expertise: Strong programming skills in Python, with deep experience in PyTorch and modern ML frameworks.
• Machine Learning Experience: At least 3 years of hands-on experience in ML, deep learning, or computer vision.
• Academic Foundation: Strong theoretical knowledge in machine learning, computer vision, generative AI, or related fields.
• Cloud & Production Deployment: Familiarity with AWS, Docker is mandatory. Familiarity with Kubernetes is preferred and not mandatory, and deploying ML models in cloud environments.
• Data Handling & Pipelines: Experienced to work with data storages and processing the data (Atlas MongoDB or similar database technologies).
• Software Development Best Practices: Experience with CI/CD pipelines, version control (Git), and scalable ML architectures.

• Communication & Collaboration: Ability to work cross-functionally and effectively communicate complex ML concepts to non-technical stakeholders.

   

Preferred Skills:

• The most important preferred skill is experience working with computer graphics, mostly related to 3D processing. 
• Generative AI & Diffusion Models: Hands-on experience with Hugging Face libraries (diffusers, transformers).
• Performance & Optimization: Experience with PyTriton, TensorRT, and GPU-accelerated inference.
• Experience with Agent-Based AI Architectures: Knowledge of multi-agent reinforcement learning or LLM-driven AI agents.
• Conversational & Interactive AI: Hands-on experience with Semantic Kernel, LangChain, or similar frameworks.
• Advanced AI Deployment: Knowledge of gRPC protocols, streaming data processing, and scalable ML inference.
• Full-Stack Integration: Experience with WebAssembly, Angular, NestJS, and Rust for web applications.
• Infrastructure & DevOps: Familiarity with Terraform, Nvidia Cloud Functions, and containerized AI workflows.
• Filmmaking & Visual Storytelling: Passion for media, filmmaking, gaming, and how AI can enhance the creative processes.

What is Cuebric

Cuebric launched in 2023 as a pioneer multimodal generative AI platform for professional filmmakers. Originally designed to simplify complex virtual production workflows, Cuebric quickly became a trusted tool among technicians working with LED volumes in film, TV, and commercial production.

We’re now building on that foundation while pioneering another tool: a next-generation platform that expands our mission while giving storytellers true creative control and consistency. While we can’t reveal too much just yet, this new direction is ambitious, deeply technical, and built on proprietary pipelines.

We’re a close-knit team of engineers, designers, and storytellers united by one belief: professional creatives deserve tools built with the same emotional depth and precision as the stories they tell.

Why Join Us

We’re a small team building practical, beautifully designed tools that people love to use. We make what we wish existed. We’re here for the complex art of simplification. We don’t stand for “good enough” or needless complexity. We are here for the art and the fun of engineering. If you’re an engineer or product thinker with a pioneering pirate-like spirit, passionate about creative technology, and want your restless brilliance to meet the imagination of the world’s most extraordinary storytellers, welcome home.

How to Apply 

Send us your resume with a brief note about why this role excites you.

Please include this role's title in your subject line.

Tell us briefly why you're interested in joining Cuebric.

Location: Remote (Europe preferred)

Contract Type: Freelancer short-term Contract

Key Responsibilities:

• Architect Scalable AI-Powered Storytelling Workflows:
  • Design and define multi-agent AI architectures that integrate LLMs, generative AI, and real-time content pipelines into a cohesive system.
  • Ensure AI workflows effectively bridge content generation, user interactivity, and ML optimization.
• Prototype & Validate Agentic AI Concepts:
  • Build proof-of-concept models to test feasibility before full-scale development.
  • Experiment with multi-agent collaboration, reinforcement learning strategies, and AI-assisted storytelling approaches.
• Work Directly with Customers & Product Teams:
  • Engage in customer and stakeholder meetings to translate creative & business needs into technical AI requirements.
  • Ensure product roadmaps align with practical AI capabilities.
  • Collaborate with UI/UX teams to define intuitive AI-driven user experiences.
• Guide Developers in Scalable Implementation:
  • Work closely with ML Engineers & Developers to implement AI workflows in a scalable, production-ready manner.
  • Define AI infrastructure best practices (Triton, Ray, Semantic Kernel, LangChain, etc.) to ensure efficiency and performance.
• Ensure AI Works Seamlessly with UX/UI:
  • Partner with UX designers & front-end teams to make AI interactions intuitive and user-friendly.
  • Define AI assistant interactions, adaptive learning mechanisms, and real-time content generation strategies.
• Stay Ahead of AI Innovation & Industry Trends:
  • Track advancements in LLMs, agentic AI, reinforcement learning, and creative AI tools to ensure Cuebric remains an industry leader.

  • Recommend and integrate emerging methodologies to enhance AI-driven storytelling.

     

Qualifications:

• Deep AI/ML Expertise: Experience with LLMs, multi-agent AI systems, reinforcement learning, generative AI (diffusion models, transformers, etc.).
• AI Systems Architecture: Proven ability to design and optimize scalable AI systems, particularly in cloud-based, real-time, or interactive environments.
• Prototyping & Hands-on AI Development: Ability to build and test small AI models/workflows before passing them to the engineering team for full-scale implementation.
• Strong Communication & Business Acumen: Able to translate customer needs into AI solutions and guide cross-functional teams (ML engineers, UX, product, and business stakeholders).
• Experience with AI Infrastructure & Model Deployment: Familiarity with AWS, Kubernetes, Triton, Ray, Semantic Kernel, LangChain, or similar tools.

• Creative & Technical Blend: Passion for AI-driven storytelling, virtual production, and creative applications of ML.

   

Preferred Skills:

• Experience with Agent-Based AI Architectures: Knowledge of multi-agent reinforcement learning or LLM-driven AI agents.
• Conversational & Interactive AI: Hands-on experience with Semantic Kernel, LangChain, or similar frameworks.
• Full-Stack Integration: full-stack multiprocessing architecture with focus on optimization
• Infrastructure & DevOps: Familiarity with Terraform, AWS and NVIDIA NGC, and containerized AI workflows.
• Filmmaking & Visual Storytelling: Interest in media, virtual production, and how AI can enhance creative processes.

What is Cuebric

Cuebric launched in 2023 as a pioneer multimodal generative AI platform for professional filmmakers. Originally designed to simplify complex virtual production workflows, Cuebric quickly became a trusted tool among technicians working with LED volumes in film, TV, and commercial production.

We’re now building on that foundation while pioneering another tool: a next-generation platform that expands our mission while giving storytellers true creative control and consistency. While we can’t reveal too much just yet, this new direction is ambitious, deeply technical, and built on proprietary pipelines.

We’re a close-knit team of engineers, designers, and storytellers united by one belief: professional creatives deserve tools built with the same emotional depth and precision as the stories they tell.

Why Join Us

We’re a small team building practical, beautifully designed tools that people love to use. We make what we wish existed. We’re here for the complex art of simplification. We don’t stand for “good enough” or needless complexity. We are here for the art and the fun of engineering. If you’re an engineer or product thinker with a pioneering pirate-like spirit, passionate about creative technology, and want your restless brilliance to meet the imagination of the world’s most extraordinary storytellers, welcome home.

How to Apply 

Send us your resume with a brief note about why this role excites you.

Please include this role's title in your subject line.

Tell us briefly why you're interested in joining Cuebric.

Frontend Engineer – Generative AI + Cloud

We’re hiring for a Generative AI Frontend Engineer to join our team.

This is not a typical frontend role. You’ll work end-to-end, from product ideas to user-facing
implementations, helping shape the next generation of AI-driven troubleshooting tools.
What You’ll Do
● Build and ship user interfaces for generative AI workflows
● Work across the stack: mostly frontend, but with occasional dives into backend
integrations and cloud systems.
● Collaborate closely with the CEO and the rest of our team
● Take full ownership of features - from concept to production.
● Help define the future of how engineers investigate and solve cloud incidents using AI.
Requirements
● Extensive frontend experience - ideally in Vue.js, but React/Svelte/Angular are fine too.
● Strong sense of product ownership and the ability to deliver end-to-end.
● Familiarity with cloud technologies like Kubernetes, AWS, or GCP.
● Bonus: experience with Large Language Models (LLMs) and AI APIs
About You
● You thrive in fast-moving environments with high autonomy
● Ambiguity excites you, not scares you
● You use AI coding agents like Claude Code
● You care deeply about developer experience and usability
● You like building things that other engineers love

Interested?
This is a unique role looking for a unique candidate.
If this sounds like you — or someone you know — please reach out to me personally

About Cherry

We are product team. Cherry is a data-driven marketplace for commercial vehicles — including trucks, trailers, and heavy equipment.
One of our core products, the Cherry Market Rate (CMR), is a valuation engine that predicts wholesale and retail prices based on specifications like mileage, age, and engine type.

We’re expanding the CMR pipeline and looking for a Machine Learning Specialist with experience in regression modeling, data scraping, and LLM integration to strengthen our data accuracy and build intelligent automation tools for marketplace users.

What You’ll Work On

You will collaborate with our backend and data engineering teams to enhance:

• Cherry Market Rate (CMR) regression pipelines — improving accuracy and stability of vehicle price predictions.
• Automated data scraping for sourcing real market listings
• LLM-based listing assistant that helps users create listings from plain text input.

Responsibilities

• Analyze and optimize the current regression-based valuation model (isotonic regression, IQR filtering).
• Implement new techniques for regression, smoothing, and feature importance analysis.
• Improve robustness of the model for sparse and noisy datasets.
• Integrate and enhance scraping pipelines for structured data ingestion from multiple marketplaces.
• Build and fine-tune an LLM-powered listing helper to extract, classify, and format listing data from user input.
• Support deployment and testing through FastAPI endpoints and Cherry’s internal admin tools.

Tech Stack & Tools

• Python: pandas, numpy, scikit-learn, statsmodels, requests, BeautifulSoup
• FastAPI (for model deployment and API integration)
• Google Cloud Spanner / PostgreSQL
• LLM APIs: OpenAI / Gemini / custom fine-tuned models for NLP
• Version control: GitHub
• Chart generation & analytics via matplotlib / Plotly

Requirements

• Strong experience building and tuning regression models (linear, isotonic, polynomial, or ensemble).
• Excellent understanding of outlier detection (IQR, isolation forest, etc.).
• Proven experience in data preprocessing and feature engineering.
• Familiarity with data scraping and ETL pipelines.
• Experience integrating or fine-tuning LLMs for text-to-structured-data tasks.
• Proficiency with Python ML stack and API integration (FastAPI preferred).
• Analytical mindset and strong documentation habits.

Nice to Have

• Background in automotive or marketplace data modeling.
• Experience with large datasets or commercial valuation systems.
• Familiarity with prompt engineering or LLM evaluation frameworks.

What We Offer

• Fully remote, flexible hours.
• Work with a multidisciplinary product and data team.
• Clear technical documentation and real production data.
• Direct impact on a product used by dealers and transport companies across the US.

We Are:

LetsData is an AI-powered solution designed to proactively shield businesses, civil society, and governments from information operations. Our mission is to build a cutting-edge product that helps the world’s largest organizations detect information operations early, whether disinformation, synthetic identities, or other threats posed by cybercriminals, hostile states, or competitors. We are guided by our principles of excellence, collaboration, and adaptability, and we are committed to becoming a global leader in InfoOps prevention.
 

The Role:

As a Junior ML Engineer at LetsData, you will actively contribute to the research, development, and deployment of innovative AI-driven solutions. Collaborating closely with our experienced technical team, you’ll gain hands-on experience building cutting-edge systems that leverage machine learning, data analytics, and advanced AI techniques. This position offers a unique opportunity to enhance your skills, learn from industry experts, and make a meaningful impact in the rapidly evolving field of AI.
 

Format: Full-time
Location: Remote, Ukraine
 

Requirements:

• At least 1 year of commercial experience in ML Engineering.
• Strong foundational knowledge of classic Machine Learning — relevant certifications from coursera/deeplearning.ai or other similar finished courses is mandatory.
• Familiarity and practical experience with the latest advancements in NLP, ML and LLMs.
• Experience with data science tasks, including data cleaning, exploratory data analysis, feature engineering, and statistical analysis.
• Excellent communication skills to collaborate effectively with cross-functional teams in both English and Ukrainian.
• Experience with cloud providers (GCP, AWS, Azure) would be an advantage.
• Experience working with data from media and social media platforms would be a significant advantage.
• Most importantly: A passion for making an impact by fighting malign information influences.
   

You Will:

• Participate in developing state-of-the-art AI-driven solutions in NLP and graph analysis.
• Collaborate with an experienced team of engineers and analysts.
• Gain valuable experience in a product-focused company addressing real-world challenges like InfoOps prevention.
   

We Offer:

• Unlimited vacation and additional days off on your special occasions.
• Unlimited sick leaves to take care of your health.
• Parental leave for those who stay with us for 1+ year.
• Membership at a coworking space of your choice.
• Opportunity to participate in the top events of the industry.
   

LetsData is an equal-opportunity employer. We are committed to fostering a diverse and inclusive workplace where all employees feel respected and valued. We do not discriminate based on race, ethnicity, religion, belief, color, gender identity, sexual orientation, nationality, citizenship, age, marital status, veteran status, disability, legal history, or any other characteristic protected by law.

Trinetix is looking for a Senior Software Engineer (Python, Gen AI). 

You’ll be part of a dynamic, international team working on an enterprise platforms for a leading U.S.-based client. Our mission is to build impactful, high-tech solutions that streamline business operations, enhance efficiency, and drive digital transformation. 

Requirements

• 5+ years of experience in development
• Proficient in web development with strong hands-on experience using the FastAPI framework.
• Production experience with Generative AI and Large Language Models (LLMs) to solve real-world problems and in developing agentic AI applications to enhance AI interaction.
• Familiarity with multi agent patterns, approaches and frameworks, such as LangGraph, AutoGen, Crew AI, Google ADK, etc.
• Experience with Pydantic for data validation and schema definition in Python applications.
• Skilled in asynchronous and parallel programming, with practical knowledge of asyncio.
• Proficiency working with non-relational databases, including MongoDB.
• Strong analytical and problem-solving abilities with a detail-oriented mindset.
• Practical and pragmatic approach to balancing standardized processes with flexibility to meet project goals effectively.
• Excellent organizational skills with the ability to self-manage, prioritize tasks, structure workload, and meet tight deadlines.

Nice to have

• Experience working with Azure Cloud services (or other major cloud platforms), including a range of SaaS offerings such as Service Bus, Data Lake, Blob Storage, Redis, and more.
• Familiarity with agentic protocols such as MCP and A2A is a strong plus.
• Hands-on experience with the LangGraph stack, including long-term memory, human-in-the-loop workflows, and state management, is highly desirable.
• Familiarity with .NET is considered a plus.
• Hands-on experience with containerization and orchestration tools such as Docker and Kubernetes.
• Solid understanding of microservices architecture and its implementation in scalable systems.

Responsibilities

• Define and enforce best practices and coding standards across the project.
• Conduct thorough code reviews to ensure adherence to established guidelines and maintain high code quality.
• Working both independently and in close collaboration with others in the team
• Communicating clear instructions to team members and help manage the flow of day-to-day operations
• Communicating with the client on a regular basis
• Design, develop, and maintain robust and scalable Python applications.
• Write clean, maintainable, and efficient code following best practices and coding standards.
• Optimize code for performance and scalability, ensuring efficient data handling.
• Work closely with cross-functional teams to deliver high-quality software solutions.
• Identify and resolve technical issues, ensuring the reliability and performance of applications.
• Create and maintain comprehensive documentation for code, processes, and workflows.

What we offer 

• Continuous learning and career growth opportunities 
• Professional training and English/Spanish language classes 
• Comprehensive medical insurance 
• Mental health support 
• Specialized benefits program with compensation for fitness activities, hobbies, pet care, and more 
• Flexible working hours 
• Inclusive and supportive culture