Jobs

Spendbase is looking for a curious, technically minded AI Intern to help us integrate AI into our internal workflows. You’ll work directly with the founding team to identify, test, and deploy AI-powered automations that enhance how we operate across customer success, sales, product, and operations.
 

This is an ideal role for someone who’s been actively learning and building in the AI space over the past year — possibly a student or early-career engineer — and is ready to apply their skills in a fast-moving startup environment.
 

What You’ll Be Doing:

• Research and prototype AI use cases across company departments
• Build and connect tools using GPT APIs, open-source models, and automation platforms
• Automate workflows with Zapier, N8N, Make (Integromat), etc.
• Deploy simple AI apps via Replit, Hugging Face, GCP, AWS, Cloudflare
• Document processes and make your work repeatable and maintainable

You’re a Great Fit If You:

• Have at least 6–12 months of hands-on AI exploration
• Have deployed personal AI projects using GPT, Claude, DeepSeek, or similar
• Know how to connect APIs and build lightweight automations
• Are familiar with Zapier, N8N, or other no-code/low-code tools
• Have basic coding skills (Python or JavaScript) and can debug simple scripts
• Enjoy researching open-source tools and figuring out how to glue them together
• Speak Ukrainian and English well and can work independently

Nice to Have:

• Portfolio of own projects and automations created for yourself
• Used GPT-4, Claude, or other LLMs through APIs or platform integrations
• Experience with cloud deployments, GitHub, or basic backend work
• Prior experience automating CRMs Hubspot tasks, Slack workflows, or product processes

Logistics:

• Location: Remote, based in Ukraine (preferred)
• Time: Full-time, flexible working hours
• Start date: ASAP

Why Join Spendbase?

• Join one of the fastest growing Ukrainian fintechs
• You’ll be the go-to AI person in the company — real impact, real ownership
• Learn fast, ship faster — ideal for those looking to transition into an AI role long-term
• Work with a team that values experimentation, autonomy, and learning

About the Role

We’re looking for a hands-on AI Product Engineer with experience working with Large Language Models (LLMs) to help us bring AI capabilities into our B2B SaaS platform. This role sits at the intersection of product engineering, machine learning, and user experience — helping deliver meaningful, adoptable AI features to our customers.

You’ll work closely with product managers, designers, and backend engineers to define how LLM-powered features (e.g., summaries, suggestions, chat agents) are designed, built, and adopted by real users.

What You’ll Do

• Design and develop product features powered by LLMs (e.g., OpenAI, Bedrock, Mistral, Claude)
• Create pipelines for prompt engineering, input pre-processing, and response parsing
• Integrate LLMs via APIs and manage token usage, latency, and fallback behavior
• Collaborate with product and UX to scope AI-driven capabilities that improve usability and value
• Track performance of LLM outputs (relevance, accuracy, completion rate) and refine prompts or logic accordingly
• Contribute to customer adoption efforts — building explainable, reliable, and intuitive AI features

What We’re Looking For

• Solid experience with LLM APIs (OpenAI, Anthropic, AWS Bedrock, etc.)
• Strong coding skills in Python, Node.js, or TypeScript
• Experience working with SaaS applications — especially B2B use cases
• Understanding of prompt engineering, embeddings, RAG, and vector search (e.g., Pinecone, Weaviate, FAISS)
• Familiarity with UI/UX principles in AI adoption (what makes features feel useful, not gimmicky)
• Ability to work independently in a remote, fast-paced environment

Nice to Have

• Experience with LangChain, LlamaIndex, or similar orchestration frameworks
• Knowledge of data privacy and AI governance in production
• Background in ML/NLP pipelines beyond API usage (e.g., fine-tuning, embeddings, model evaluation)

Why Join Us?

• Work remotely with a global, product-driven SaaS team
• Help shape how AI is adopted meaningfully, not just bolted on
• Build capabilities that customers use and trust — not experiments
• Flexible schedule, strong ownership, and room to explore new ideas

We are looking for a proactive and technically strong middle AI engineer who is passionate about Agentic AI and ready to drive innovation across our product ecosystem. In this role, you will take ownership of designing and building autonomous AI agents, integrating AI capabilities into real product workflows, and delivering production-ready solutions with tangible business value. You will collaborate with multiple product teams, contribute to our internal AI Lab, and play an essential role in scaling AI adoption across the company.

Requirements
- 3+ years of experience in Python development.
- Experience with LLMs, transformers, and NLP models.
- Proven experience with LangGraph, LangChain, or similar frameworks for agent-based design.
- Understanding and practical experience with RAG pipelines and vector databases (e.g. Qdrant)
- Experience with PyTorch or TensorFlow.
- Strong problem-solving skills and a business-oriented mindset.
- Ability to work in a fast-paced, evolving environment with cross-functional teams.

Nice to Have
- Familiarity with MLOps practices, containerization (Docker), and deploying scalable AI solutions.
- Understanding of multi-agent orchestration, self-healing logic, and autonomous systems.
- Experience in e-commerce, PIM systems, or digital content workflows.
- PHP knowledge for integration support.
- Fluent English

What You’ll Be Doing / Responsibilities:
- Design, build, and fine-tune LLMs and AI agents using LangGraph, LangChain, or similar frameworks.
- Lead the development of Agentic AI flows that automate complex tasks across our products.
- Integrate AI-driven features into Gepard PIM, focusing on real-world use cases in e-commerce.
- Collaborate with product and engineering teams to identify opportunities and deliver AI-driven solutions.
- Advocate for best practices in AI implementation and promote adoption across teams.
- Contribute to internal AI training efforts (AI Lab) and continuously explore new technologies and trends.

If you are AI-focused, business-driven, and eager to work on cutting-edge technology, we’d love to hear from you! 🚀

What we offer:

• Professional development
  - PDP (Personal Development Plan) and PIP (Performance Improvement Plan) processes to foster professional growth.
   - Education allowance for continuous learning and development.
  - Improving the internal AI laboratory.
   - Individual English lessons to enhance language skills.
• Work environment and flexibility
  - Autonomy in decision-making and strategy implementation.
   - Remote work options or a well-equipped office near Livoberezhna metro station.
   - Starlink internet, generator, and a comfortable work environment.
• Health and well-being
  - Medical insurance (coverage only within Ukraine)
   - Mental health support through Pleso (psychotherapy).
   - Generous vacation and sick leave policy to ensure work-life balance.
• Team culture
  - Regular corporate events and team activities to build connections and foster collaboration.

Who we are:
Gepard is a PIM platform that brings innovative automation solutions into product information management of eCommerce businesses. Gepard evolved into an independent platform at Bintime software company in 2015. With its mission to automate all product content flows in eCommerce and reduce routine work with marketing content, Gepard has already helped top retailers and manufacturers of the world to automate and solve their product data issues (Amazon, Walmart, MediaMarkt, HP, etc.).

We are looking for an AI Modeller to help us design and develop robust AI and machine learning models that solve real-world problems and enhance our product capabilities.

AI Modeller responsibilities include building, training, and validating machine learning models, collaborating with cross-functional teams, and staying up to date with the latest advancements in AI/ML. If you have a strong background in data science, experience with deep learning frameworks, and a passion for innovation, we’d like to meet you.

Ultimately, you will contribute to the creation of intelligent systems that are scalable, efficient, and impactful.

Responsibilities:

• Design, develop, and deploy machine learning and deep learning models
• Work with large datasets to extract meaningful insights and train algorithms
• Collaborate with engineers and product teams to integrate AI solutions 
• Conduct research and experiment with new modeling approaches and technologies
• Optimize models for performance, accuracy, and scalability
• Document model architecture, data pipelines, and experimental results

Requirements:

• 2+ years of experience in machine learning, data science, or AI-related fields
• Strong knowledge of Python and ML libraries
• Solid understanding of data preprocessing, feature engineering, and model evaluation
• Experience with cloud platforms  for ML model training and deployment
• Familiarity with MLOps tools and practices is a plus (e.g., MLflow, Kubeflow, Docker, Kubernetes)
• Experience in NLP, computer vision, or time series analysis is a plus

• Hands-on experience with GenAI technologies such as:

  - Large Language Models (LLMs) like GPT, Claude, LLaMA, Mistral, etc.

  - Using APIs from OpenAI, Anthropic, Cohere, or Google Vertex AI

  - Working with Hugging Face Transformers, LangChain, LlamaIndex, or RAG (retrieval-augmented generation) frameworks

  - Fine-tuning or adapting foundation models using techniques like LoRA, prompt tuning, or instruction tuning

  - Implementing embedding models and vector databases (e.g., Pinecone, FAISS, Weaviate) for semantic search and similarity tasks

• Strong analytical and problem-solving skills
• Good spoken/written English

Description: 

We're looking for a designer-first creative professional who is confident working with data, understands the language of analytics, and thrives at the intersection of visual communication, data storytelling, and AI-enhanced design tools. This role is for designers who are not afraid of spreadsheets, who ask questions of data, and who can translate complex insights into intuitive visual formats.

Responsibilities: 

1. Design engaging, insightful visualizations based on structured and unstructured data
2. Work closely with data scientists, analysts, and engineers to translate raw data into visual narratives
3. Use modern AI-powered tools (e.g. Figma AI, Midjourney, ChatGPT, Flourish) to enhance design workflows
4. Create prototypes, dashboards, and UX components for data-heavy digital products
5. Advocate for clarity, usability, and accessibility in visual communication
6. Continuously iterate and refine visuals based on data updates and stakeholder feedback

Good to have:

1. Strong portfolio demonstrating data visualization, UX/UI, or information design
2. Familiarity with data concepts (e.g., trends, distributions, dimensions, outliers)
3. Experience with design tools enhanced by AI and automation
4. Ability to understand and ask the right questions about datasets
5. Strong communication and collaboration skills across disciplines
6. Bonus: Experience in designing for analytics platforms, dashboards, or reporting tools
7. Master or higher degree in Physics, Mathematics, Statistics, Quantitative Finance, Computer Science, or another quantitative field.
8. Strong problem-solving skills with an emphasis on research product development.
9. Experience working with and creating data architectures.
10. Experience with a variety of machine learning and deep learning techniques and understanding of their limitations.
11. Advanced knowledge of Python (SciPy, NumPy, Pandas, TensorFlow), and 1 year of experience in advanced NLP algorithms is a huge plus.
12. Good written and verbal English for coordinating across teams and reports preparation.
13. Desire to know more about new technologies and research prospective markets.
14. Develop and implement advanced machine learning models and statistical algorithms to solve business problems and improve decision-making.
15. Perform exploratory data analysis to identify trends, patterns, and opportunities within large datasets.
16. Collaborate with stakeholders to understand business objectives and translate them into data-driven solutions.
17. Mentor and guide junior data scientists and data analysts, fostering a culture of continuous learning and innovation.
18. Developing processes and tools to cross-validate data.
19. Database management (create automated tools for data structuring, including data cleansing and validation)
20. Development of algorithms for natural language processing
21. Testing and improving existing algorithms
22. Developing custom data models and forecasting algorithms and their validation.
23. Working with advanced data visualization tools, including Chat-GPT Code Interpreter, Power BI, and in-house development tools.
24. Work closely with other teams to monitor the quality of models implementation for commercial use.
25. Documentation and reports preparation for clients and management.
26. Excellent organizational and time management skills, with the ability to prioritize tasks effectively.
27. Implement data preparation and feature engineering pipelines for the models
28. Plan and implement algorithms for predictive modeling.
29. Provide continuous improvement of models in production

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!

Middle+ AI Engineer
As an AI Engineer, you will work within a team responsible for taking AI/ML solutions from initial concept to full production implementation. This role requires creativity and analytical skills to understand business challenges, propose AI-enabled solutions, and bring them to life through robust system design, modeling, and coding. You will collaborate cross-functionally to ideate and prototype new AI products. Your models, architectures, and software contributions will power innovative AI systems that solve complex problems at scale. To excel in this role, you will need hands-on experience rapidly developing and deploying ML algorithms alongside strong software engineering abilities to build reliable and maintainable AI infrastructure.

This is a remote/telecommuter position, working from home.

 

What you’ll do:

• Develop comprehensive systems and frameworks for AI applications and products.
• Construct prototypes and minimum viable products to validate AI/ML solutions before committing substantial resources.
• Develop, refine, and productionize AI systems using cloud resources such as Azure OpenAI, Azure ML, and Cognitive Services.
• Contribute to the creation of robust data pipelines for model evolution and production systems.
• Develop specifications for low latency APIs and services necessary to deploy AI models and incorporate them into applications.
• Supervise and sustain AI systems in production to guarantee consistent model accuracy and reliability.
• Actively participate in a team that exercises principled, agile-like development practices.
• Create and maintain thorough documentation that is consistent with team procedures, corporate policies, and expectations.
• Ensure peer review on all assigned work, as well as conduct peer reviews over the work of others as requested.
• Guide junior AI engineers on AI/ML and industry best practices and methodologies.
• Keep abreast of new tools and concepts through reading documentation or literature and actively practicing skills development.
• Support and participate in meetings with external stakeholders.
  
   

What you’ll bring:

Minimum Qualifications

• Bachelor's Degree in Computer Science, Statistics, Mathematics, or a related field, or 2+ years of experience in a related, professional IT/analytics position.
• Minimum of 3 years of industry experience in developing, deploying, and maintaining AI or ML systems. Up to two years of industry experience may be substituted with an AI centered Master’s/PhD or AI Engineering certifications.
  
   

Preferred Qualifications

• At least 4 years of experience in developing deep learning models using TensorFlow, PyTorch, MLX, JAX, or other modern deep learning frameworks. Previous experience with older libraries like Theano or Caffe is also accepted. (May supplement with graduate level education or research experience).
• Knowledge of and experience in implementing ethical AI practices, with at least 2 years spent working on projects that require explainable AI, fairness, and bias mitigation.
• Minimum of 3 years of proficiency in utilizing advanced prompt engineering techniques like General Knowledge Prompting and ReAct. Adept at using libraries like LangChain or OpenPrompt for complex projects. Possess the capability to mitigate prompt injection attacks and use tools like Guardrails or PromptInject for securing prompt engineering pipelines.
• Minimum of 3 years of experience in successfully productionizing AI models, including constructing scalable data pipelines and establishing robust monitoring systems.
• 3 or more years working within Agile-like teams and environments.
• Knowledge, Skills, and Abilities
• Experience developing deep learning architectures such as CNNs, transformers, GANs, LSTMs, GNNs, Autoencoders, Diffusion Models, and Neural Ordinary Differential Equations (NODEs).
• Proficiency in debugging AI systems and enhancing performance through hyperparameter tuning and similar techniques.
• Proven experience in productionizing models by constructing scalable data pipelines, low-latency services, and robust monitoring.
• Familiarity with software design patterns, microservices, distributed computing, container orchestration, and other relevant architectures.
• Proficient software engineering skills as well as skills building secure, stable software systems at scale.
• Proficiency in developing and optimizing ML solutions using languages like Python, and libraries such as NumPy, Pandas, Matplotlib and scikit-learn.
• Familiarity working with traditional ML lifecycles.
• Familiarity with building minimal interfaces to interact with AI products, e.g., Streamlit or Shiny.
• Familiarity with ethical AI practices including explainable AI, fairness, and mitigation of bias/hallucinations.
• Strong communication, collaboration, and mentorship skills.
• Growing ability to articulate the technical details and tradeoffs of AI solutions to non-technical stakeholders in a clear and concise manner.

We are looking for a Machine Learning Engineer who is comfortable with LLM fine-tuning, prompt engineering, AI model selection and scalable AI deployment. The ideal candidate will be responsible for evaluating, selecting, and optimizing models for domain-specific tasks.   
 

Key Responsibilities 
• Fine-tune LLMs and optimize models for domain-specific applications. 
• Compare and evaluate open-source vs. closed-source models based on task performance, accuracy, latency, cost, and licensing constraints. 
• Conduct benchmarking using perplexity scores, F1-score, BLEU, ROUGE, and latency tests. 
• Implement parameter-efficient fine-tuning (LoRA, Adapters, Quantization) to improve model efficiency. 
• Develop MLOps pipelines using Kubernetes, Ray, MLflow, and Weights & Biases for scalable deployment. 
• Implement model quantization and pruning to optimize for cost and efficiency. 
• Develop prompt engineering strategies and retrieval-augmented generation (RAG) systems. 
• Deploy models using Docker, Kubernetes, and cloud-based solutions. 
• Collaborate with software engineers and data teams to integrate ML models into production. 
•  Collaborate with data engineers to streamline data pipelines for training and inference. 

Qualifications 
•  5+ years of experience in machine learning.  
•  Experience in comparing, selecting, and evaluating open-source vs. closed-source AI models. 
•  Hands-on experience with LLM fine-tuning, transfer learning, and transformers. 
•  Proficiency in Python, PyTorch, Hugging Face, LangChain. 
•  Experience with distributed training techniques  
•  Familiarity with vector databases (FAISS, Pinecone, Weaviate) for LLM applications. 
•  Experience with MLOps best practices (CI/CD, monitoring, logging). 
•  Understanding of model benchmarking and evaluation techniques.

🕒 Type: 3 months contract with long term extension .  

As AI Expert in the CTO’s office, you will be the technical owner of everything model-powered inside the company:

• Architecture – Design the end-to-end pipeline that ingests org context, routes to the right expert model, executes code in sandboxed containers, and feeds rich telemetry back into our continuous-learning loop.
• Model Strategy – Decide when we fine-tune open-source Llama-3 vs. hot-swap to Bedrock or Vertex; benchmark MoE routers for latency and cost; champion vLLM/Triton for GPU efficiency.
• MLOps at Scale – Own versioning, lineage, policy gating and roll-back of models and in-line tools. Ship deterministic, reproducible releases that DevSecOps trusts.
• Tooling & Integrations – Work with backend and platform leads to expose new model endpoints through our Model Context Protocol (MCP) so agents can compose actions across GitHub, Jira, Terraform, Prometheus and more — without one-off plugins.
• Thought Leadership – Partner with the CTO on the technical roadmap, publish internal RFCs, mentor engineers and evangelize best practices across the company and open-source community.

What You’ll Do

• Craft cloud-native, micro-service architectures for training, fine-tuning and real-time inference (AWS/GCP/Azure, Kubernetes, JetStream).
• Define SLOs for p95 agent latency, model success rate, and telemetry coverage; instrument with OTEL, Prometheus and custom reward models.
• Drive our continuous-learning loop: reward modelling, ContextGraph enrichment, auto-tuning MoE routers.
•  Embed least-privilege IAM and OPA/ABAC policy checks into every stage of the model lifecycle.
•  Collaborate with product managers to translate customer pain into roadmap items and with design partners to validate solutions in production.
•  Mentor a cross-functional squad of backend engineers, ML engineers and data scientists.

What You'll Bring

• 5+  years in software engineering, with 3+ years architecting large-scale backend systems (Python, Go, Java or similar).
• 4+  years designing, deploying and monitoring AI/ML systems in production.
• Deep expertise in at least one of: large-language-model serving, MoE routing, RLHF, vector search, streaming inference.
• Hands-on fluency with Kubernetes, Docker, CI/CD, IaC (Terraform/Helm) and distributed data technologies (Kafka, Spark, Arrow).
• Proven MLOps track record (MLflow, Kubeflow, SageMaker, or similar) and a security-first mindset.
• Ability to turn ambiguous business goals into a crisp, scalable architecture — and to communicate that vision to both executives and engineers.
• Great Englich communication skills.

Nice-to-Haves

•  PhD or publications in ML/NLP/Systems.
•  Contributions to open-source LLM or MLOps projects.
•  Experience pushing real-time inference to the edge or FPGA/ASIC accelerators.

•  Prior leadership of cross-functional AI/ML teams in a fast-growing startup environment.

   

The Way We Work

We value clarity, ownership, and velocity. You’ll have direct access to the CTO, autonomy to choose the right tech, and a front-row seat as we redefine how enterprises move “from prompt to production.”

If building the Kubernetes of AI-driven operations excites you, let’s talk.

LITSLINK is a US-based software development company with offices in Palo Alto, CA and Kyiv, Ukraine, that specializes in mobile and web development, artificial intelligence, machine learning, SaaS development, AR & VR, product design, and cloud services.We provide the turn-key IT solutions including marketing, business analysis, product development and web promotion for startups, small, and medium-sized businesses.At LITSLINK, we carefully analyse market to clarify consumer needs, observe competitors'​ marketing strategies, discover insights turning the information obtained into product features and promotion opportunities.To create websites and mobile apps that meet your specific needs and requirements, our team of skilled web developers and designers combines the latest technologies with extensive hands-on experience.

LITSLINK is looking for a talented Machine Learning Engineer to enforce our team of 19 enthusiastic Machine Learning specialists.

About you:

— 2-4 years of experience with NLP is a must;

— Experience with generative AI: LLMs (OpenAI + custom fine-tuning, Langchain, etc)

— 2-4 years of programming experience with the following languages/frameworks: Python; Pytorch /Tensorflow /Keras/ OpenCV;

— Familiarity with architectures for classification tasks: CNN, Faster R-CNN, ResNet; detections: YOLO, HOG; segmentation: U-Net, DeepLab, PSPNet;

— Solid practical and theoretical knowledge of Statistics, Machine Learning, and Deep Learning;

English skills enough to:

— Read/write/discuss technical requirements on tasks;

— Provide/take technical reviews on the code;

— Clearly describe your experience and technical decisions based on it;

— Support small talks and non-technical discussions.

What you will do:

— Responsible for the full cycle of NLP model development;

— Building the ML-based solution;

— Create production-ready solutions, launch MVPs, and help DevOps Team to deploy them;

— Work with NLP algorithms and data structures.

What we offer:

— Remote-first culture;

— Flexible working schedule. ( It can be Full-Time or Part-Time );

— Strong technical support of the company’s Engineering Managers and implementation team (UX/UI Designers/Developers/BA/QA);

— Competitive remuneration ( gross system ).

What happens after you apply:

— We review your application and contact you to set up a quick call with one of our recruiters;

— Online interview ( Technical );

— Interview with the Manager;

— Proposal for cooperation.

We're on the lookout for a talented Senior AI Engineer Backend to join us as a contractor on a 1-year renewable contract. If you're passionate about cutting-edge technology and want to be part of an early-stage company building an innovative AI platform for AI call agents, this could be the perfect opportunity for you!

What You'll Do:
• Evaluate Gen AI models (openAI, Mistral, etc.) , embedding algorithms, etc. to produce an
efficient and scalable RAG pipeline.
• Lead the development/architecture of our RAG pipeline, AI platform's backend, ensuring robust
and scalable architecture.
• Collaborate closely with our small, agile team to implement our AI infrastructure in Microsoft
Azure.
• Ensure seamless integration with our AI call agent platform.
• Handle telephony integrations with Twilio or VoxImplant for smooth customer interactions.
• Innovate and contribute to the overall architecture and design of our platform, focusing on
scalability and performance.

Who We're Looking For:
• Experience: Proven track record in RAG and Gen AI development with experience in
microservices architecture and cloud platforms, specifically Azure.
• Tech Stack: Proficiency in using
o Gen AI models (openAI, Mistral, etc.) and RAG systems (Azure AI seach, Ragflow, etc.)
o Azure Cloud: Azure cloud services such as Cosmos DB, Azure OpenAI, Azure AI
Studio, Azure Functions, Azure API Management, etc.
o Telephony platforms such as VoxImplant and/or Twilio
o Languages: Python, C#
 

Skills: 

• Strong problem-solving abilities, attention to detail, and the ability to create scalable AI pipeline solutions.
 

Culture Fit: 

• We value a collaborative and entrepreneurial spirit, and we're looking for someone who thrives in a startup environment.

Why Join Us?
• Be part of an early-stage company with big ambitions and the opportunity to shape the future of AI in customer service.
• Work in a small, close-knit team where your contributions are recognized and valued.
• Flexible work environment, allowing you to balance work and life

Headway Inc is a global tech company, revolutionizing lifelong learning by creating digital products for over 150 million users worldwide. Our mission is to help people grow. We’re proud to be ranked 4th among the World’s Top EdTech Сompanies by TIME magazine. We believe lifelong learning should be accessible, personalized, and impactful to each individual. That’s how we change the world and why we bring together exceptional minds.

The core of our achievements is our team. We believe in people and shared values SELECT. That’s why, together with Maksym Shykov, Engineering Manager at Headway by Headway Inc, we’re looking for a ML Engineer who is passionate about answering complex questions and transforming the EdTech landscape with us.
 

What product will you be working on?

Headway is our flagship app, offering summaries of nonfiction bestsellers, daily insights, and gamified challenges. Headway is the world’s most downloaded book summary app and has been featured as App of the Day in over 30 countries, including the US, the UK, and Canada.
 

This job is perfect for you if you want to:

• Invest in cutting-edge AI and ML technologies: Work with the latest solutions and develop your skills in an innovative environment, as Headway is a large product with the resources to invest in advanced AI and ML.
• Make a rapid product impact: See the results of your work in the short term, allowing you to quickly observe the value and effectiveness of implemented initiatives.
• Achieve significant impact on product metrics: Develop solutions that improve various areas and boost user engagement, directly affecting key product metrics.
• Access product analytics: Gain a deeper understanding of user behavior and test your solutions based on real data and analytics.
• Work on a cool educational content product: Contribute to a project that helps people grow and acquire knowledge.
• Influence team processes: Improve team processes by bringing your own approach to working with AI-based projects.
• Propose your own ideas freely: Initiate and be creative in developing new AI initiatives that can enhance product efficiency and satisfy user needs.
• Thrive in an experimentation culture: Implement ideas through A/B testing, continuously improving the product by analyzing real results.
   

What you will do:

• Uncover new opportunities for the creation, implementation, and launch of AI-based initiatives that support Engagement, Growth, and other strategic company directions and goals.
• Develop and improve the existing ML-based recommendation system.
• Work on research and innovative projects.
   

What you need to join us:

• High proficiency in Python.
• Deep understanding of machine learning algorithms and their mathematical foundations.
• Experience with scientific Python tools (scikit-learn/pandas/numpy).
• Experience with ML frameworks (Tensorflow/Torch, transformers).
• Ability to conduct in-depth research, including reviewing academic literature and exploring open-source ML projects.
• Experience with Git, Docker, Linux.
• Alignment with our team's values (SELECT).
   

A plus if you have:

• Experience with recommendation systems.
• Experience in software engineering.
• Understanding of software architecture, ML system design principles, and the full development lifecycle.
• Experience with SQL/NoSQL (BigQuery, Firestore).
• Experience with LLMs (agents, RAG, OpenAI API, LangChain).
• Experience with embeddings and vector databases.
• Experience with cloud services (Google Cloud Platform).
• Understanding of CI/CD principles and experience with Terraform.
   

What do we offer:

• Work within an ambitious team on a socially impactful education product.
• An office with a reliable shelter, generators, satellite internet, and other amenities.
• Access to our corporate knowledge base and professional communities.
• Personal development plan.
• Compensation for English language learning, external training, and courses.
• Medical insurance and full sick leave compensation.
• Company doctor and massage in the office.
• Sports activities: running, yoga, boxing, and more.
• Corporate holidays: we go on a week-paid holiday to rest and recharge twice a year.
• Supporting initiatives that help Ukraine. Find out more about our projects here.
   

Working schedule

This is a full-time position with a hybrid remote option. It means that you can decide for yourself: whether you want to work from the office, remotely, or combine these options.

Are you interested?
Send your CV!

Ready to shape the future of AI? Join our cutting-edge team in Lviv!

We’re seeking a passionate Junior Full Stack Developer to dive deep into the world of LLM-powered applications. This isn’t just another junior role — it’s your gateway to becoming an AI expert while working on groundbreaking projects that are reshaping how businesses leverage artificial intelligence.

What makes this role special?

World-class mentorship awaits you:

• Work directly with a core maintainer of GraphQL (originally from Facebook)
• Learn from someone who contributed to GraphQL’s official specification and worked at Apollo
• Be guided by the founder of Redocly — an experienced cloud architect and international speaker

• Gain expertise in scalable systems and modern software architecture from a proven industry leader

   

What you’ll build:

• AI-powered features that solve real business problems for our clients
• LLM integrations that push industry boundaries and explore new possibilities
• Innovative solutions where your creativity meets cutting-edge technology
• Research-driven projects as we shape the roadmap of applied AI together

Perfect for developers who thrive on research, enjoy writing clean code, love problem-solving, and are excited to grow in the rapidly evolving space of practical AI applications.

Requirements:

Essential:

• Foundation in full-stack development (React, Node, Typescript)
• Passion for learning and exploring new technologies
• Strong problem-solving and analytical thinking
• Excellent communication skills in English
• Must be able to work part-time in our Lviv office (flexible hybrid model)

Nice to Have:

• Experience with AI/ML concepts or LLM APIs
• Experience with Python
• Familiarity with MCP (Model Context Protocol)
• Familiarity with how LLMs can leverage external tools is considered a plus

Why you’ll love it here:

Health & Wellness: Full medical coverage and mental health support program

Growth & Learning: Free English classes + learning budget for AI/ML courses

Sport & Professional studying compensations

Work-Life Balance: Flexible office/remote hybrid model with freedom and responsibility

Career Development: Regular performance evaluations with salary reviews based on your growth

Networking: Conference attendance opportunities and connection with industry leaders

Team Culture: Friendly, supportive environment that celebrates innovation

Cutting-edge Projects: Work on the practical applications of LLMs that push real-world innovation boundaries

Ready to jumpstart your AI career?

This is more than just a job — it’s your opportunity to be at the forefront of AI innovation while building a solid foundation for your tech career.

Let’s talk! Send your CV and tell us about your passion for AI innovation. We’d love to hear about any projects, research, or ideas that excite you about the future of AI.

Located in Lviv with flexible hybrid working arrangements. Join us in building the future of AI-powered solutions!

Description

Our Customer is one of the biggest companies in the home entertainment consumer electronics devices market, striving to provide their clients with high-quality products and services.

Project goals include testing media apps on digital media players and smart TVs, providing testing results to Customers for decision-making, work with requirements.

Requirements

Good knowledge of testing theory (test types, test cases, bug reports, etc.)
Knowledge of Operating Systems and network protocols
Basic knowledge of hardware
Attention to detail, patience, and investigation skills
At least an intermediate English level
Fast learner with strong problem-solving skills
Preferred:
SQL, HTML, and CSS knowledge
Technical writing
Experience with Smart TV platforms

Job responsibilities

Manual testing of media applications on set-top boxes and smart TV.
Creating bug reports.
Creating and updating test documentation.

🔍 We’re Hiring: AI Engineer (AVM / Real Estate Focus)

We’re a venture-backed startup on a mission to reshape the real estate industry in the UAE using the power of AI. We're building a core product — an AI-powered Automated Valuation Model (AVM) — and we're looking for an AI Engineer who has hands-on experience with real estate or proptech predictive models.

If you're excited about applying AI to tangible, high-impact problems and love the idea of working on something foundational from day one — we’d love to talk.

🔧 What you’ll do:

• Build and improve an AVM tailored to the UAE real estate market
• Develop predictive models related to pricing, market dynamics, and property performance
• Collaborate with our product and data teams to shape the product roadmap
• Apply ML techniques using available market data, satellite imagery, transaction records, etc.

✅ What we’re looking for:

• Proven experience in real estate data, AVMs, or similar predictive modeling
• Strong applied ML/AI skills (we’re tech-stack agnostic)
• Ability to work autonomously and take ownership of your part of the product
• Fluent English — our team is international and fully English-speaking

• Availability to start immediately, full-time

   

💼 Why join us:

• Work on a mission-critical product for a fast-growing, funded startup
• High level of autonomy and ownership
• Potential for long-term collaboration (up to 12 months or more)
• 100% remote — work from anywhere