Jobs

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.
• Becoming a key contributor, you’ll also be rewarded with our stock compensation program.
• Flexibility of fully remote work.
• Flexible, unlimited time-off policy.

About project

Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses.

We are seeking a highly skilled Machine Learning (ML) Tech Lead with a strong background in Large Language Models (LLMs) and AWS Cloud services. The ideal candidate will oversee the development and deployment of cutting-edge AI solutions while managing a team of 5-10 engineers. This leadership role demands hands-on technical expertise, strategic planning, and team management capabilities to deliver innovative products at scale.
 

Responsibilities:

• Leadership & Management
• Machine Learning & LLM Expertise
• AWS Cloud Expertise
• Technical Execution
• Team Development & Communication
   

Qualifications:

• Proven experience with LLMs and NLP frameworks (e.g., Hugging Face, OpenAI, or Anthropic models);
• Strong expertise in AWS Cloud Services;
• Strong experience in ML/AI, including at least 2 years in a leadership role;
• Hands-on experience with Python, TensorFlow/PyTorch, and model optimization;
• Familiarity with MLOps tools and best practices;
• Excellent problem-solving and decision-making abilities;
• Strong communication skills and the ability to lead cross-functional teams;
• Passion for mentoring and developing engineers.

Overview
We are seeking an experienced and hands-on Databricks Specialist to join our partner’s team. In this role, you will be responsible for auditing current workloads and engineering robust, efficient data-processing pipelines across the Bronze, Silver, and Gold layers of the medallion architecture.

Key Responsibilities

• Audit existing Databricks workspaces, notebooks, and jobs to ensure performance, security, and cost-efficiency.
• Design and build modular batch and streaming sub-pipelines that land, cleanse, enrich, and publish data as physical tables across all medallion layers.
• Implement robust exception handling, alerting, and automated rollback/retry mechanisms.
• Create comprehensive documentation, reusable code samples, and lead knowledge transfer sessions for data engineers and analysts.

Required Skills & Experience

• 4+ years of experience building production-grade ETL/ELT pipelines on Databricks (Spark 3.x, Delta Lake).
• In-depth knowledge of the medallion architecture, performance tuning (e.g., Optimize/Z-Ordering), and cost-effective cluster configurations.
• Proficiency in PySpark or Scala, along with advanced SQL skills — including job profiling and fine-tuning at the shuffle partition level.
• Demonstrated experience in building reliable pipelines with data quality checks, unit testing, and CI/CD (e.g., Databricks Repos, GitHub Actions, Azure DevOps).

Nice to Have

• Experience with Unity Catalog, serverless compute, or Databricks Photon.
• Relevant certifications such as Databricks Data Engineer Professional or Databricks Champion Enablement (DBCE).

Description

Our customer is a global leader in digital media and entertainment services across film, video and online content from capture to consumption.

Since 1915, our customer has been the trusted partner for the world’s most successful Hollywood studios, independent film companies, TV networks, exhibitors, advertisers and others, offering best-in-class solutions in production, post production, distribution, asset and workflow management and new digital solution-based technologies.

This position is ideal for individuals who have the drive and desire to ‘make things’. It requires a highly motivated individual with attention to details and a hunger to learn and solve problems.

Requirements

Shifted working hours – Readiness to work till 12 AM Kyiv time

Required Experience

• 5+ years of experience working on machine learning applications and deploying AI/ML models into production environments;
• Proficiency in Python and experience in machine learning frameworks, (i.e. PyTorch, Tensorflow);
• Strong understanding of AI/ML concepts, algorithms, and technologies.
• Experience building and automating scalable machine learning pipelines in cloud ecosystems (Azure, AWS, GCP);
• Familiarity with cloud tools like S3, EC2, SageMaker, and Lambda;
• Expertise in neural networks, computer vision, NLP, and/or reinforcement learning;
• Advanced knowledge of Machine Learning models and LLM.

Preferred Experience

• Experience with any of the following: NVIDIA Enterprise AI Solutions, AWS Sagemaker, AWS Bedrock, AWS Clean Rooms, Data Lakes
• Experience with building and fine tuning various image, text, audio, and video classification models, such as shot/scene detection, captions, object labeling, attention scoring, etc.
• Experience with Media and Entertainment industry file formats and applications (IMF, Protools, MXF, 3D, etc)

Job responsibilities

An engineer in this position will design, develop, and architect services for the platform, in addition to:

• Contributing to cutting-edge R&D initiatives including service integration with emerging
  frameworks and platforms.
• Assisting with technical resolution of issues on mission critical production systems (you build it, you own it, you run it.)
• Thinking out of the box to come up with solutions that scale, are fault-tolerant, easy to grasp and elegant.

Our client is an international product-based IT company specializing in the iGaming industry. Born in 2014, they rocked the CIS region, and now take the success to the world.

The company actively integrates cutting-edge technologies, including artificial intelligence, into internal workflows and proprietary products. Their goal is to optimize, reduce costs, and accelerate business processes. Due to rapid growth and the need for a more systematic approach to leveraging AI tools, we are looking for a strong technical expert to join the team as an AI Tech Lead / AI Engineer.

📚 Your qualifications:
• Strong knowledge of modern AI technologies, especially generative models (e.g., GPT, Qwen, etc.).
• Experience integrating AI models and automating workflows with tools like n8n.
• Understanding of scalable and fault-tolerant architecture design principles.
• Self-starter with strong decision-making and execution skills.

➕ Nice to have:
• Proficiency in Python and Go programming languages.
• Experience leading small teams or managing projects.

📋 Key responsibilities and your contribution:
• Identify and implement AI-based automation and optimization opportunities across the company.
• Select, configure, and integrate modern AI tools (e.g., GPT, Qwen 2.5, etc.) into existing products and workflows.
• Design and build automation pipelines using tools like n8n and other orchestration platforms.
• Develop scalable AI architecture and integrate it into the current infrastructure.
• Evaluate and improve the quality and performance of deployed AI solutions.
• Prepare the company-wide AI development strategy and roadmap.
• Initiate new AI projects, justify their value, and lead their execution.
• In the long term — build and manage an in-house AI team.

Benefits:
⭐ Days of recovery: 20 paid vacation days per year, paid sick leaves, public holidays off.
⭐ Health: medical insurance, check-ups, gym and mental health services.
⭐ Education: language courses, internal/external trainings, service subscriptions.
⭐ Compensation: corporate equipment you’ll need for success, work remotely or from one of our offices in Europe.
⭐ Work Environment: additional benefits that can be used according to company policy, e.g. paid business trips, free office dinners, holiday bonuses, gifts, team events.

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!

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!