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.

What we expect:
 

• experience in developing complex LLM-based systems
• strong knowledge of Python
• experience with Docker
• experience in the deployment of ML models
• experience in the creation of Python-based production services
• knowledge of Machine Learning and Deep Learning principles
• deep knowledge in any of the ML areas (CV, NLP, etc.)
• experience with any DL framework (Pytorch/Jax/TensorFlow/etc)

• basic communication skills in English — verbal and written

   

Would be a plus:
 

• experience with the cloud-based and local deployments of the LLM
• experience in the complex systems design

What do you expect to do:
 

• develop POC and MVP of LLM-based projects
• design and develop ML-related parts of production-ready systems
• setup experiments and improve LLM-based systems
• communicate with the customers

Join a pioneering team building a decentralized, censorship-resistant computing infrastructure powered by blockchain technology. Our platform is designed to support diverse, high-value use cases—from secure transactions and blockchain-native workloads to real-time AI and data-intensive applications.

We seek an Interpreter Developer with a strong mathematical background and proven research experience to lead the design and implementation of interpreters that convert mainstream programming languages into a custom execution environment tailored for decentralized infrastructure.

What You’ll Do:

• Develop interpreters and execution layers to translate code from mainstream languages (e.g., Python, JavaScript, Rust, etc.) into a custom low-level language designed for decentralized execution.
• Design and implement runtime semantics, type systems, and evaluation strategies for a secure and efficient execution model.
• Collaborate with compiler engineers, blockchain protocol teams, and systems developers to integrate the interpreter into a trustless, verifiable compute layer.
• Optimize interpreters for performance, determinism, and compatibility with parallel or distributed runtime environments.
• Apply your mathematical expertise to ensure formal correctness, predictable behavior, and support for symbolic/numeric operations.
• Contribute to developing custom DSLs or intermediate representations tailored for our blockchain-based compute engine.

What You Bring:

• Upper-Intermediate English or higher to communicate with US-based engineers and colleagues.
• Solid experience in interpreter or virtual machine development for general-purpose or domain-specific languages.
• Deep understanding of language design, runtime execution models, and compilation theory.
• Proficiency in systems or compiler-level programming languages (e.g., Rust, C++, Go, or OCaml).
• Strong mathematical foundation (e.g., logic, computational theory, algebraic structures); research publications or academic contributions are a strong plus.
• Familiarity with type systems, garbage collection, and low-level memory models.
• Ability to design safe, deterministic execution strategies in trustless or decentralized environments.
• Experience working with blockchain, Web3 infrastructure, or distributed systems is preferred but not required.

Nice to Have:

• Knowledge of formal verification, symbolic computation, or secure multi-party computation.
• Exposure to custom bytecode formats, AST transformation, or IR-level optimizations.
• Experience contributing to open-source compilers, interpreters, or language runtimes.

Why Join Us?

• Be part of a visionary team redefining decentralized computation beyond smart contracts.
• Tackle challenges at the intersection of language theory, systems design, and blockchain innovation.
• Work remotely with a global team of experts in AI, cryptography, and distributed infrastructure.

🎁 We offer:

- Daily support for your technical and personal growth;

- Professional and very friendly team, that is always ready to help and support;

- Medical Insurance;

- Flexible working hours;

- Offices in Ukraine;

- All official holidays;

- Paid day offs and sick leaves;

- Legal services and 24/7 lawyer protection;

- Tax & accounting services;

- Partly Tax coverage for Ukrainian contractors;

- The company provides all the necessary equipment;

- Fitness support upon request;

- English classes up to three times a week;

- The company pays 50% of the cost of refresher courses for any employee of the company;

- Workstation space;

- Mentoring and Educational Programs;

- Regular Activities on a Corporate level (Team Buildings, Sports Events, Table Games, Tech Events);

- Advanced Bonus System.

Job Description
 

We’re building the future of digital character realism — and we’re looking for someone who thrives at the edge of research and production. In this role, you’ll develop new machine learning methods that elevate the visual fidelity of digital humans while keeping performance lightning-fast. This is an opportunity to build systems that replicate the complexity of human movement and emotion in real time. You’ll work on challenging problems that bridge the physical and digital worlds—and contribute to experiences that feel truly alive.

🛠 Desired Skills and Experience
 

• MS or PhD in a relevant technical field (graphics, ML, vision)
• Advanced Computer Science knowledge
• Strong grasp of neural rendering, graphics programming, and optimization
• Hands-on experience with real-time rendering engines
• Familiarity with research workflows and technical publishing
• A passion for blending research creativity with engineering discipline
  
  🎯 Responsibilities
   
• Explore and build neural rendering approaches that push realism to new heights
• Take experimental techniques and make them production-ready
• Work closely with artists and engineers to refine rendering quality across devices
• Optimize ML models and rendering code for real-time environments
• Contribute to internal innovation as well as external research efforts

Job Description

We’re building the core systems behind some of the most dynamic digital character technology out there—and we need someone to take ownership of the platform that makes it all run. In this role, you’ll lead the development of infrastructure that ensures fast, scalable, and reliable machine learning services across a range of interactive applications. This is an opportunity to build systems that replicate the complexity of human movement and emotion in real time. You’ll work on challenging problems that bridge the physical and digital worlds—and contribute to experiences that feel truly alive.

🛠 Desired Skills and Experience

• 7+ years of experience in DevOps, ML engineering, or infrastructure leadership
• Strong track record with cloud architecture, containers, and deployment pipelines
• Expertise in serving ML models in production environments
• Familiarity with building for real-time performance constraints
• Bonus: background in simulation, graphics, or related real-time pipelines
  
  🎯 Responsibilities
   
• Architect scalable systems to support ML model training, deployment, and inference
• Streamline development workflows through CI/CD automation
• Optimize infrastructure for high-throughput, low-latency applications
• Develop observability tools to track system and model performance
• Enable engineers and researchers with reliable, developer-friendly tools and APIs

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.

We are looking for a highly motivated LLM & Generative AI Developer to join our growing team. In this role, you'll work at the intersection of large language models (LLMs), structured data extraction, and generative AI product development. You will build intelligent AI-based services and automation tools using leading models like OpenAI's GPT, Google Gemini, and Anthropic Claude.

If you're passionate about building real-world applications with LLMs, love clean Python code, and have experience working with databases like PostgreSQL and MongoDB, we want to hear from you.

Key Responsibilities

• Design and implement systems for structured data extraction using LLMs.
• Build and maintain AI-based services and wrappers leveraging OpenAI, Gemini, Claude, and similar models.
• Collaborate closely with product and backend teams to integrate AI capabilities into existing platforms.
• Optimize LLM interactions for performance, cost, and accuracy.
• Develop evaluation and validation methods for AI outputs.
• Write clean, maintainable Python code and manage data using PostgreSQL and MongoDB.
• Stay up to date on the latest LLM research, APIs, and tooling.

Requirements

• Strong proficiency in Python.
• Hands-on experience with OpenAI, Gemini, Claude, or similar LLM APIs.
• Experience with LLM-based information extraction and prompt engineering.
• Familiarity with PostgreSQL and MongoDB.
• Knowledge of REST API development and deployment best practices.

Nice to Have

• Familiarity with containerization (Docker) and cloud services (AWS, GCP, Digital Ocean).
• Background in NLP, information retrieval, or ML pipelines.
• Ability to work independently in a fast-paced, R&D-driven environment.

Why Join Us?

• Work on cutting-edge AI technologies with real-world impact.
• Collaborative, innovation-driven team culture.
• Flexibility in working hours and location.
• Competitive salary and benefits.

About you:

We are hiring an experienced Machine Learning Engineer to join our team. This specialist will be responsible for refactoring our ML codebase, integrating new infrastructure, and developing reusable modules. Working closely with our data science and engineering teams, the Machine Learning Engineer will play a key role in enhancing the maintainability, scalability, and performance of our ML systems.

About project:

Join our client's innovative team, working at the forefront of agricultural technology. They are dedicated to developing cutting-edge solutions that combine IoT and AI to optimize processes in smart agriculture. The core objective of this project is to monitor and improve crucial natural processes, thereby enhancing efficiency and sustainability in the agricultural sector.

Our client's ML infrastructure processes data from IoT sensors placed in beehives to monitor temperature, humidity, and other environmental factors. This data is used to create predictive models focused on colony health, queen problems, and pollination efficiency. By leveraging real-time data and advanced technologies, the platform helps to drive better outcomes for food production and biodiversity, making a tangible impact on global food systems. The team is looking for someone who can help improve the underlying architecture of these systems while maintaining their functionality and accuracy.

Your area of responsibility:

• Restructuring and optimizing existing Machine Learning code to enhance its readability, ease of maintenance, and performance, all while ensuring core functionality is preserved.
• Integrating ML models and their associated pipelines with recently developed infrastructure elements to guarantee smooth operation and compatibility.
• Designing and implementing reusable Machine Learning modules intended for common tasks such as preparing data, engineering features, and training or evaluating models.
• Developing and deploying both unit and integration tests to uphold code quality standards and confirm reliability.
• Identifying and putting into practice improvements aimed at boosting model performance, increasing efficiency, and supporting scalability.
• Collaborating effectively with colleagues who are not located in the same place, offering guidance and participating in code review processes to receive feedback.

Skills and requirements:

• A minimum of 5 years' professional experience in software engineering, with a strong focus on Machine Learning systems.
• Demonstrated high proficiency in Python and essential ML libraries (such as TensorFlow, PyTorch, and scikit-learn).
• A proven history of successfully refactoring complex existing codebases without compromising original functionality.
• Experience in the design and deployment of software components and libraries intended for reuse.
• Familiarity with standard ML pipelines, including processes for handling and deploying data.
• Knowledge of fundamental software engineering practices, such as managing versions, testing code, and creating documentation.
• Experience working with systems that are distributed and software stacks that are cloud-based.
• Strong capabilities in solving problems, with a focus on creating solutions that are practical and easy to maintain over time.

Will be a plus:

• Practical experience with MLOps tools and common practices in that field.
• Understanding and experience with technologies used for containerization and orchestration (like Docker or Airflow).
• Familiarity with continuous integration/continuous deployment (CI/CD) pipelines specifically for ML systems.
• Experience using tools designed for data versioning.
• Exposure to frameworks used for processing data on a large scale.
• Experience working effectively with teams that are geographically dispersed and in roles such as consulting or contract work.

We offer:

- Висококласні робочі умови: спільнота першокласних інженерів, близько 90% нашої команди це Middle та Senior; цікаві та довгострокові проєкти у різних сферах; можливість змінити проєкт в разі необхідності;

- Конкурентна ринкова компенсація в валюті (не в гривневому еквіваленті), яка виплачується без затримок;

- Власний план розвитку та регулярні перегляди компенсації;

- Оплачувані відпустки (20 днів) та лікарняні дні (5 днів);

- Всі державні свята за Українським законодавством є вихідними;

- Можливість працювати з будь-якою точки світу — ми знайдемо юридичний варіант, допоможемо легалізуватися або проконсультуємо з цього питання.

- Бухгалтерський супровід;

- Юридична підтримка в межах України;

- Повноцінна HR-підтримка та турбота.

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

-Lead and manage a team of 5-10 engineers, providing mentorship and fostering a collaborative team environment;

-Drive the roadmap for machine learning projects aligned with business goals;

-Coordinate cross-functional efforts with product, data, and engineering teams to ensure seamless delivery.

• Machine Learning & LLM Expertise

-Design, develop, and fine-tune LLMs and other machine learning models to solve business problems;

-Evaluate and implement state-of-the-art LLM techniques for NLP tasks such as text generation, summarization, and entity extraction;

-Stay ahead of advancements in LLMs and apply emerging technologies;

-Expertise in multiple main fields of ML: NLP, Computer Vision, RL, deep learning and classical ML.

• AWS Cloud Expertise

-Architect and manage scalable ML solutions using AWS services (e.g., SageMaker, Lambda, Bedrock, S3, ECS, ECR, etc.);

-Optimize models and data pipelines for performance, scalability, and cost-efficiency in AWS;

-Ensure best practices in security, monitoring, and compliance within the cloud infrastructure.

• Technical Execution

-Oversee the entire ML lifecycle, from research and experimentation to production and maintenance;

-Implement MLOps and LLMOps practices to streamline model deployment and CI/CD workflows;

-Debug, troubleshoot, and optimize production ML models for performance.

• Team Development & Communication

-Conduct regular code reviews and ensure engineering standards are upheld;

-Facilitate professional growth and learning for the team through continuous feedback and guidance;

-Communicate progress, challenges, and solutions to stakeholders and senior leadership.

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.).