Jobs ML / AI

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

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

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

Skills requirements:
• Strong Python Experience (1 year +);
• Experience with LLM , Diffusion models;
• Knowledge of Prompt engineering;
• Experience with Gen AI-related technologies such as LangChain and RAG;
• Experience with Neural Networks (Optional) ;
• Experience with NLP , Predictive analytics and Machine learning;
• Experience with Pandas;
• Experience with SQL, including experience with large datasets;
• Strong experience in statistics;

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

We offer:

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary nominated in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

Description
As an ML Engineer, your role will be participating in field service 
accelerator development. The Field Service Engagement Accelerator is AI-driven solution designed to enhance customer interactions and service delivery in field service operations. This  accelerator leverages the latest advancements in machine learning, data processing, and cloud infrastructure to provide a customizable, scalable platform that can be rapidly deployed across multiple customers. This is greenfield project.

Key responsibilities include:
-Template Pipeline Development: Design and implement a flexible template 
pipeline that can be customized and deployed per customer. This pipeline will manage user input, integrating with LLMs using AWS Textract, AWS Connect, and agentic workflows.
-Building Data APIs: Develop robust APIs that interface with user engagement channels, capturing and processing inputs via AWS Textract and AWS Connect.
-Ingestion Pipeline Creation: Design and implement metadata-driven template ingestion pipeline that automates the loading of public data both web and documents (word, pdfs). This pipeline will support the creation of a multimodal knowledge base, which will be critical for customer-specific deployments.
-MLOps Integration: The project includes a comprehensive MLOps framework to manage the end-to-end lifecycle of machine learning models. This includes continuous integration and delivery (CI/CD) pipelines for model training, versioning, deployment, and monitoring. Automated workflows ensure that models are kept up-to-date with the latest data and are optimized for performance in production environments.
-Real-Time Engagement: With AWS services such as API Gateway, Lambda, and WebSocket, the accelerator supports real-time updates and asynchronous streaming, enhancing user engagement and reducing the risk of abandonment during interactions.
-Advanced Monitoring and Analytics: Integrated with AWS CloudWatch, 
QuickSight, and other monitoring tools, the accelerator provides real-time insights into performance metrics, user interactions, and system health. This allows for continuous optimization of service delivery and rapid identification of any issues.
-RAG Workflows: Establish Retrieval-Augmented Generation (RAG) workflows that leverage knowledge bases built on Kendra or OpenSearch. This includes integrating various data sources, such as corporate documents, inspection checklists, and real-time external data feeds.
Scalable and Customizable Solutions: Ensure that both the template and 
ingestion pipelines are scalable, allowing for adjustments to meet specific customerneeds and environments. This involves setting up RAG workflows, knowledge bases using Kendra/OpenSearch, and seamless integration with customer data sources.
-End-to-End Workflow Automation: Automate the end-to-end process from user input to response generation, ensuring that the solution leverages AWS services likeBedrock Agents, CloudWatch, and QuickSight for real-time monitoring and analytics.
 

Skills
Must have:
-Data engineering background is a must.
-Metadata driven data processing workflows (must have for lead, nice to have for developer)
-ML engineering background is a must, experience building ML pipelines, 
packaging and optimizing models, fine-tuning, packaging, serving.
-Strong expertise in AWS data and ML services
-Strong experience building data pipelines with Python

Nice to have:
-Experience or at least non-commercial experience with LLMs and agents.
-Langchain or similar
-AWS Bedrock
-AWS Bedrock knowledge bases
-Textract experience or any OCR experience related to document processing

Role Responsibilities:

• Design and develop AI Agents and supporting tools, including API-as-a-service solutions.
• Prepare comprehensive documentation for development and deployment processes.
• Contribute to R&D initiatives within the Data Science team, driving innovation and experimentation.

Required Skills & Experience:

• 5+ years of experience with deep learning frameworks such as PyTorch and/or TensorFlow.
• 5+ years of hands-on Python development experience.
• Proven experience with LLMs, RAG pipelines, and AI Agent development.
• Practical knowledge of Amazon SageMaker, Amazon Bedrock, LangChain, LangGraph, LangSmith, LlamaIndex, HuggingFace, and OpenAI tools.
• Experience using AI tools to improve development productivity, code quality, and assist in code reviews.
• Solid understanding of SQL, NoSQL, and vector databases.
• Strong grasp of embedding vectors and semantic search techniques.
• Proficiency with Git (Bitbucket) and Docker.
• English level: Upper-Intermediate (B2+) or higher.

Nice to Have:

• Hands-on experience with SLMs and fine-tuning of LLMs.
• Educational background in Data Science, Computer Science, Applied Mathematics, or related fields.
• AWS certification (e.g., AWS Certified Machine Learning – Specialty).
• Familiarity with TypeSense.
• Experience with speech recognition and speech-to-text ML models.

Inforce is a Software Development Company that provides a full range of top-quality IT services. Our mission is to develop first-class applications and Websites to provide our clients with the best solutions for maximizing their profits and converting their ideas into reality.

We’re launching a new AI direction and are looking for a Junior AI Automation Engineer who’s deeply passionate about AI, loves learning new tools, and wants to grow fast in the field of intelligent automation.

You’ll work on real AI-driven products - not research - building AI assistants, automation agents, and copilots that connect to real systems like CRMs, Gmail, Slack and many others!

Responsibilities:

• Build and test AI agents using LangChain / CrewAI / OpenAI API/ (Gemini API, Grok, DeepSeek, Claude)
• Design automation flows and integrate LLMs with external tools (HubSpot, Notion, Google Workspace, etc.)
• Work with data retrieval, embeddings, and SQL database (MySQL / MariaDB / PostgreSQL / SQLite)
• Collaborate with backend and frontend teams to bring AI features into production
• Communicate with project managers and sometimes directly with clients to understand automation goals and present results
• Constantly research new AI frameworks, APIs, and techniques to improve project outcomes
   

Required skills:

• 0–2 years of experience with Python or Node.js
• Understanding of REST APIs, async programming, and data structures (threading, errors handling and logging)
• Huge curiosity for AI, LLMs, and automation technologies — willingness to experiment, read docs, and self-learn daily
• English — Intermediate+ (comfortable discussing tasks or demos with clients)
• Strong problem-solving mindset and responsibility for delivering working solutions
   

Will be a plus

• Hands-on experience with LangChain, LlamaIndex, CrewAI, or OpenAI API
• Knowledge of vector databases (Pinecone, Weaviate, PGVector)
• Workflow automations (Zapier, Make, etc.)
• Any experience building bots, scripts and service integrations
• Familiarity with Git, Docker, or cloud environments
• Experience work with playwright / selenium, etc.
   

We offer:

• Real commercial AI projects with international clients
• Direct mentorship from senior engineers
• Opportunity to grow into AI Engineer / LLM Engineer within months
• Open, supportive culture and strong engineering community
• Flexible schedule and result-oriented environment

Requirements:

• Experience with Transformer models: BERT, RoBERTa, GPT, T5, LLaMA, Mistral, Falcon, etc.
• Strong knowledge of Python; experience with PyTorch, TensorFlow, and Hugging Face Transformers.
• Understanding of modern LLM architectures and fine-tuning techniques: LoRA, PEFT, Instruction Tuning, RAG.
• Experience with NLP tasks: classification, text generation, machine translation, QA systems, etc.
• Familiarity with evaluation metrics: accuracy, F1, BLEU, perplexity, ROUGE, etc.
• Basic knowledge of statistics and classical machine learning.
• Experience with MLflow, DVC, or similar tools.
• Experience with model containerization (Docker).
• Understanding of CI/CD principles in ML projects.
• Skills in model deployment using FastAPI / Flask / TorchServe / Triton.
• Experience with cloud infrastructure (AWS, GCP, Azure, or local cloud providers).

• Bonus: experience with Kubernetes, Airflow, Kubeflow, Ray.

   

Responsibilities:

• Selecting and configuring modern Transformer/LLM models for company-specific tasks.

Fine-tuning, LoRA tuning, model distillation, and quantization.

• Preparing and processing datasets (including augmentation).
• Deploying models to production and automating pipelines (data → training → inference).
• Monitoring model performance in production, retraining, and optimization.
• Collaborating with Data Engineers and DevOps to build the MLOps infrastructure.

• Evaluating model performance using various metrics and analyzing results to identify areas for improvement and optimization.

   

We offer you:

• Having the capability to create something new and witness your own input.
• You can find confidence in the future here, but rest assured it won't be dull. 
• Join a dynamic and expanding community. Our company is experiencing growth and expanding into Europe. Currently, we have offices in Kyiv, and Warsaw and plan to open additional locations in other countries. 
• Full-time employment contract.
• Multisport (light). 
• Paid vacation, sick leave.

Interested in joining our team? We invite you to submit your CV.

<By submitting your CV to LLC “GigaCloud”, EDRPOU code [39792589] (hereinafter referred to as the “Company”), in response to our vacancy, you consent to the processing of your personal data contained in the CV by the Company in accordance with the Law of Ukraine “On Personal Data Protection”, ISO 27701 Information Privacy Management System, and the provisions of the GDPR>.

Your expertise:

• High personal interest and self-development in AI / ML
• Experience in creating Production services as an ML Engineer
• Experience with Data Science and Quantitative Analysis activities.

Will definitely be a plus:

• Experience with AI / ML services for marketing and sales: product recommendation, retention, customer segmentation, personalization, or others
• High personal interest in Quant, algorithmic strategies, Finance, DeFi
• Experience with creating and supporting algorithmic strategies, including their risk management
• Experience in systematically monitoring and evaluating the performance of AI/ML solutions with a set of KPIs
• Experience with Agentic AI: multi-agent systems, complex prompt engineering, LLM finetuning
• Experience with documenting solution architecture and experiment reports
• Experience with Research & Development projects
• Experience in AI / ML startups or personal pet projects

What’s in it for you?

• Opportunity to deal with top-notch technologies and approaches in a world-leader product company with millions of customers
• Opportunity to make a difference for online privacy, freedom of speech, and net neutrality
• Decent market rate compensation depending on experience and skills
• Developed corporate culture: no micromanagement, culture based on principles of truth, trust, and transparency
• Support of personal and professional development
  • coverage of costs of external trainings, conferences, professional literature
  • support of experienced colleagues
  • in-house events and trainings
  • regular knowledge sharing in teams
  • English classes and speaking clubs
• Life-balance support
  • 25 working days of vacation
  • 5 days of paid sick leave per year without providing a medical certificate (no limitation on sick leaves with medical confirmation)
  • generous maternity leave program
• Professionally strong environment, friendly and open atmosphere, ability to influence the product development and recognition for it

You will be involved into:

• Perform extensive ML and Data Science research for new AI / ML solutions
• Develop new AI / ML solutions and participate in the architecture definition
• Support and upgrade current AI / ML solutions used in Production

About the company and project:

ZONE3000 is proud to represent its partnership with Namecheap (www.namecheap.com). Namecheap was founded in 2000 on the idea that all people deserve value-priced domains delivered through stellar service. Today, Namecheap is a leading ICANN-accredited domain name registrar and web hosting company with over 16 million customers and 19 million domains under management — and we’re just getting started.

Our culture is built on the values that we live every day: the way we work, the way we collaborate with our global network of colleagues and the way we relentlessly innovate solutions that meet the emerging needs of our customers.

Namecheap has been on the market for 25+ years and is the 2nd largest domain registry in the world. We are the Namecheap Machine Learning Team.

The team prototypes and develops innovative systems with AI and Machine Learning. At the moment, there are more than 10 Production systems in the areas of Emails, Payments, Customer Service, and Analytics. Some of them have proven quality at the level of global market leaders.

The team provides all the conditions for active professional growth. The culture combines the best from enterprises and startups: a high level of professionalism, truly innovative technologies, friendliness, and stability.

Are you passionate about safeguarding countries, societies, and businesses from information threats? Look no further! Our rapidly scaling company is passionately committed to this crucial mission, offering you a unique opportunity to collaborate with some of the world’s most influential organizations, including NATO and the EU. As a Ukrainian team, we are determined to deliver substantial and meaningful change.

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

Role Overview

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

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

Key Responsibilities

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

Requirements

Engineering Skills:

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

AI Skills:

• At least 3+ years of hands-on experience in AI/ML (more is a plus)
• Experience working with LLMs, RAG, and AI agents in production
• Strong understanding of transformer architectures
• Practical experience with prompt engineering
• Knowledge of LLM infrastructure and deployment
• Experience with deep learning frameworks such as PyTorch or TensorFlow

We Offer

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

Skylum allows millions of photographers to make incredible images. Our award-winning software automates photo editing with the power of AI yet leaves all the creative control in the hands of the artist.

Join us on our mission to make photo editing enjoyable, easy, and accessible to anyone. You’ll be developing products with innovative technologies, providing value and inspiration for customers, and getting inspired in return.

Thanks to our incredible team of experts, we’ve built a collaborative space where you can constantly develop and grow in a supportive way. At the same time, we believe in the freedom to be creative. Our work schedule is flexible, and we trust you to give your best while we provide you with everything you need to make work hassle-free. Skylum is proud to be a Ukrainian company, and we stand with Ukraine not only with words but with actions. We regularly donate to various organizations to help speed up the Ukrainian victory.

Role Mission: 

We are looking for a strong Machine Learning Engineer who can build and improve ML models used in our product. Most of the tasks are related to computer vision and image processing. You will work on both common tasks like segmentation, detection, and classification, as well as more complex problems involving Diffusion Models, LLMs, VLMs, and other custom tasks without ready-made solutions.

You should be able to work independently, move fast, and quickly test new ideas.

What You Will Do

• Build and improve ML models, mostly for computer vision tasks.
• Handle the full ML process: collect and prepare data, train and test models, and improve them step by step.
• Work on both standard and new types of problems.
• Create fast prototypes and help turn successful ones into real products.
• Work closely with other teams to bring your models into the product.

What We’re Looking For

• 3+ years of real-world experience with ML, including at least 2 years in computer vision.
• Good understanding of how to build ML systems from start to finish.
• Hands-on experience with one or more of these: object detection, segmentation, img2img, generative networks.
• Ability to read, understand, and implement ideas from cutting-edge research papers. You stay current with top conferences (e.g., CVPR, NeurIPS, ICCV) and can turn academic innovations into practical solutions.
• Strong skills in Python and PyTorch.
• Experience optimizing models for efficient inference on local devices (CPU, GPU, NPU), including quantization, pruning, and runtime adaptation.
• Able to work with and explore large datasets.
• Comfortable working on your own and taking full responsibility for your tasks. Experience with prototyping and working in an R&D cycle.

Nice to Have

• Experience in research (PhD, papers, or personal projects).
• Experience training or fine-tuning foundational models (LLMs, VLMs).
• Experience training or fine-tuning diffusion models for specific image generation or enhancement tasks.
• Familiarity with classical image processing techniques.
• Experience with deep learning inference frameworks like ONNX Runtime, OpenVINO, Core ML, or others.
• Strong C++ skills, close to your Python level.
• Enjoy building and testing product ideas quickly.

What we offer:

For personal growth:

• A chance to work with a strong team and a unique opportunity to make substantial contributions to our award-winning photo editing tools;
• An educational allowance to ensure that your skills stay sharp;
• English and German classes to strengthen your capabilities and widen your knowledge.

For comfort:

• A great environment where you’ll work with true professionals and amazing colleagues whom you’ll call friends quickly;
• The choice of working remotely or in our office space located on Podil, equipped with everything you might need for productive and comfortable work.

For health:

• Medical insurance;
• Twenty-one days of paid sick leave per year;
• Healthy fruit snacks full of vitamins to keep you energized.

For leisure:

• Twenty-one days of paid vacation per year;
• Fun times at our frequent team-building activities.

If you are looking forward to working with true professionals and simply amazing people & product — we are waiting for your CV!

The Role

We’re looking for a Senior ML Research Engineer to lead the design, implementation, and optimization of large-scale models powering intelligent agents. Your role spans model architecture, shipping, and production monitoring.

Key Responsibilities

• Conduct cutting-edge research on agentic AI systems — exploring new methods in reasoning, memory, planning, and multi-agent collaboration — and translate findings into production-ready prototypes.
• Design, fine-tune, and evaluate large language models and neural networks for modular agent behavior
• Build robust ML pipelines (data ingestion, feature engineering, model training, serving, monitoring) 
• Implement evaluation frameworks, A/B testing, and performance metrics to quantify agent effectiveness
• Ensure reproducibility, traceability, and compliance across ML lifecycle
• Collaborate with backend engineers to define inference service SLAs and efficient real-time ML delivery
• Mentor junior ML teammates and establish team-level best practices

Requirements

• 5+ years as an ML Engineer or applied ML researcher with production model deployment experience
• Strong Python skills, experience with ML frameworks (TensorFlow, PyTorch) and LLM tooling (HuggingFace)
• Familiarity with data pipelines, SQL, cloud platforms (AWS)
• Solid understanding of model evaluation, A/B testing, and ML performance metrics
• Excellent collaboration skills with product, backend, and data teams

Nice to Haves

• Prior work with conversational agents, retrieval-augmented generation, or multi-model orchestration
• Experience with vector search stacks (e.g. Pinecone, FAISS)
• Reinforcement Learning experience
• Startup experience and ability to navigate ambiguity and shape technical direction

Why You Should Join

• Competitive equity & pay - get in early and own what you build.
• Work closely with experienced founders with a proven startup track record.
• Move fast, ship fast - no corporate bureaucracy.
• Shape the AI revolution in healthcare - massive market, untapped potential

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.

 About Us:

We are a fast-growing AI startup building cutting-edge solutions powered by large language models (LLMs). Our products range from automation and intelligent agents to domain-specific copilots for clients across the US, Europe, and Asia. We're now looking for an experienced Senior LLM Engineer to help us push the boundaries of what LLMs can do.

What You’ll Do:

• Design and implement LLM-based solutions using OpenAI, Anthropic, Mistral, LLaMA, or similar
• Develop and optimize prompts for specific business use cases (prompt engineering)
• Fine-tune and adapt foundation models using techniques like LoRA, QLoRA, PEFT, instruction tuning
• Build and maintain inference pipelines for evaluating model performance and scalability
• Design and improve RAG (Retrieval-Augmented Generation) systems for production use
• Stay on the edge of the latest LLM and NLP research and apply best practices
• Collaborate with product managers, ML researchers, and backend engineers

Requirements:

• 4+ years in software or ML engineering, with 1–2 years working specifically with LLMs
• Strong Python skills; experience with PyTorch, HuggingFace Transformers
• Hands-on experience with prompt engineering and prompt chaining (LangChain, LlamaIndex, etc.)
• Experience with fine-tuning LLMs and efficient model adaptation
• Familiarity with vector databases (e.g., FAISS, Weaviate, Qdrant)
• Solid understanding of model evaluation techniques (BLEU, ROUGE, perplexity, human evals)
• Comfortable working in a fast-paced, research-driven environment

Nice to Have:

• Experience deploying LLMs in production (APIs, Docker, GPU scaling)
• Knowledge of multi-modal models or embeddings
• Publications or open-source contributions in NLP or ML
• Experience with data labeling, synthetic data generation, or model alignment

We Offer:

• Competitive compensation and equity options
• Access to premium LLM APIs and GPU compute resources
• A flat, founder-friendly culture with a focus on impact
• Opportunities to shape the product and research direction
• Flexible working hours and location

About the company:
Faraday Robotics is a global Service-Disabled Veteran-Owned Small Business (SDVOSB) company delivering autonomous and tactical solutions since 2019. With 140+ successful projects, we specialize in secure, offline-capable systems that work without GPS or internet.

We're hiring a senior AI/SLAM/Autonomy Engineer to lead the autonomy stack for ECITON — a distributed swarm drone platform for edge operations.
You’ll integrate visual SLAM, path planning, AI decision-making, and onboard ML inference to enable GPS-denied navigation, target detection, last-mile autonomy, and swarm coordination via ArduPilot-based controllers.

Key Responsibilities: 
• Design and integrate real-time SLAM pipelines (visual-inertial preferred) for autonomous navigation. 
• Object tracking algorithms using OpenCV. 
• Train and deploy lightweight ML models for onboard inference in real-world conditions. 
• Integrate AI/ML modules for target detection and behavioral decision-making. 
• Support GPS-agnostic navigation via sensor fusion and terrain-aware motion planning. 
• Collaborate with embedded, full-stack, and hardware teams to align the autonomy stack with system
level constraints. 
• Optimize performance on ARM-based edge compute platforms (Raspberry Pi, Jetson Nano, etc.).

Requirements: 
• Minimum 7 years of experience in autonomy, robotics, or computer vision systems. 
• Proficient in OpenCV, visual SLAM, and real-time localization. 
• Strong skills in C++ and Python; experience with ROS/ROS2. 
• Demonstrated experience with ML model training and deployment (TensorFlow, PyTorch, etc.). 
• Ability to run perception and AI systems on embedded Linux hardware. 
• Understanding of flight dynamics and real-time motion planning. 
• Ability to debug and tune systems in field environments.

Preferred Qualifications: 
• Experience with ArduPilot, PX4, or similar UAV control frameworks. 
• Familiarity with object detection models (e.g., YOLO, MobileNet) and model quantization. 
• Experience with multi-agent autonomy, swarm logic, or distributed path planning. 
• Background in defense, tactical robotics, or mission-critical systems. 
• English level not lower than B1 (Intermediate). 
• Agile development experience (Jira, Git). 

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

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

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

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

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

We offer:

• Great networking opportunities with international clients, challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary nominated in USD;

• Paid vacation and sick leaves;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team building activities, corporate events.

WHO WE ARE

Respaid unlocks hidden B2B revenue through AI-powered debt collection, done in a respectful way. 20+ people across US & Europe—incl. 10 UA engineers—ship weekly via Linear, GPT-4 agents & full-stack automation. Backed by Y Combinator plus founders of Dropbox & Docker.

WHY THIS WILL EXCITE YOU

• Ship AI that drives revenue — production impact from day one.
• 99.9% uptime, 10–50× dev velocity — obsession with tooling (Cursor, Claude Code, n8n).
• Small, elite team — zero corporate drag, direct access to CEO/CTO.
• Path to Staff / Lead — out-ship, out-learn, own massive scope.

WHAT YOU'LL TACKLE

• Build end-to-end AI features: data scraping → RAG pipelines → automated system sync.
• Craft idempotent, rate-limit-resilient integrations with CRMs & accounting tools.
• Engineer context-rich AI replies and dynamic recovery orchestration.
• Validate & iterate on AI outputs for production-grade accuracy.
• Contribute light DevOps, CI/CD, SRE for 99.9% uptime.

DAY-TO-DAY OWNERSHIP

• Ship code daily (PHP Laravel & Python FastAPI).
• Pair with AI teammates (Cursor, Claude Code) for 10× throughput.
• Review logs/metrics, squash bugs, automate yourself out of toil.
• Collaborate with leadership on roadmap & architecture.

MUST-HAVE SUPER-POWERS

• Proven experience shipping AI-powered production systems (not research).
• Hands-on with RAG pipelines, large-scale scraping, prompt engineering.
• Strong API integration & automation chops.
• Rapid context switching, self-starter, ownership mindset.
• Upper-Interm. English, clear async communication.

NICE TO HAVE

• Multi-tenant SaaS, deliverability optimization, event analytics.
• IaC, CI/CD, light SRE.

PERKS

• Fully remote; flexible hours (core GMT+2/+3 overlap).
• PTO + national holidays + paid birthday off (and your kids'🎂).
• Private health plan, EN/UA language courses.
• Zero red-tape access to CEO & CTO; path to Staff/Lead for top performers.

HOW TO APPLY

Top 1 % receive a paid 2-hour AI coding challenge.
  Pass → 30-min CEO call → offer.

🚀 Ready to build AI that moves the needle? Hit Apply and share one AI workflow you shipped and its ROI.

Role Overview:
Our partner (headquartered in US, New York, NY) is looking for an innovative agent focused engineer to expand product agent back‑end so new automations can be shipped every week.

Responsibilities:

• Design and implement multi-agent orchestration systems, managing agent interactions, control transfers, and task coordination across specialized agents (planner, email analyzer, search, etc.)
• Develop and maintain agent configuration management systems including dynamic Firestore-based configurations, tool assignments, model selection, and prompt engineering for optimal agent performance
• Build and integrate custom tools and workflows for calendar management, memory systems, UI interactions, and email processing pipelines using sequential agent workflows
• Implement and optimize memory and context management including session handling, persistent user memory (Mem0 experience is a plus), and ensuring agents maintain relevant historical context
• Manage real-time agent communication systems including WebSocket connections, multi-modality support (text/audio/image), and background task processing for seamless user experiences
• Write evals and unit tests to ensure consistency 

Qualifications:

• Expert Python development with strong async/await programming patterns, FastAPI integration, experience with Google ADK (Agent Development Kit) framework or equivalent like LangChain, Crew or similar
• Deep understanding of LLM integration and prompt engineering, specifically with Gemini models, including model selection, response optimization, and token management
• Experience with cloud-native architectures including Firestore for configuration management, Google Cloud services integration, and microservices communication patterns
• Proficiency in building and maintaining tool ecosystems including calendar APIs, memory systems, search integrations, and custom function development for agent capabilities
• Strong background in AI/ML workflows including sequential processing, agent orchestration, error handling, performance optimization, and end-to-end testing of AI systems